System specification
\r\n\t
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Author of more than 100 publications, awarded three Doctorate degrees and the National End of Degree Award, granted by the Ministry of Education to the best academic records of Bachelor's degrees in Spain. Dr. Ortega-Sánchez has been Vice-Rector for Social Responsibility, Culture, and Sports at the University of Burgos since 2021.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"302925",title:"Ph.D.",name:"Delfín",middleName:null,surname:"Ortega-Sánchez",slug:"delfin-ortega-sanchez",fullName:"Delfín Ortega-Sánchez",profilePictureURL:"https://mts.intechopen.com/storage/users/302925/images/system/302925.jpg",biography:"I hold a PhD in Didactics of Social Sciences from the Autonomous University of Barcelona, a PhD in Educational Sciences from the University of Burgos, and a PhD in History from the University of Extremadura. My research interests focus on the construction of identities in the History and Geography teaching, gender mainstreaming in initial education and training for teachers, the didactic treatment of relevant social problems and controversial issues in the teaching of the social and human sciences, and the application of educational technology in the specific field of social sciences. I am currently a Social Sciences teacher and researcher at University of Burgos (Spain).",institutionString:"University of Burgos",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Burgos",institutionURL:null,country:{name:"Spain"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"23",title:"Social Sciences",slug:"social-sciences"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"429339",firstName:"Jelena",lastName:"Vrdoljak",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/429339/images/20012_n.jpg",email:"jelena.v@intechopen.com",biography:"As an Author Service Manager, my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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In the near future this technology will be part of our society; sensing and actuating will be integrated in the environment of our houses by means of energy scavengers and wireless microsystems. These systems will be capable of monitoring the environment, communicating with people and among each other, actuating and supplying themselves independently. This concept is now possible thanks to the low power consumption of electronic devices and accurate design of energy scavengers to harvest energy from the surrounding environment.
In principle, an autonomous device comprises three main subsystems: an energy scavenger, an energy storage unit and an operational stage. The energy scavenger is capable of harvesting small amounts of energy from the surroundings and converting it into electrical energy. This energy can be stored in a small unit like a small battery or capacitor, thus being available as a power supply. The operational stage can perform a variety of tasks depending on the application.
Inside its application range, this kind of systems presents several advantages with respect to devices that exploit external energy supplies. They can be simpler to employ and install, as no external connections are needed; they are environmentally friendly and might be economically advantageous in the long term. Furthermore, their autonomous nature permits the use in locations where the local energy grid is not present and allows them to be ‘hidden’ in the environment, being independent from interaction with humans.
The idea is to make autonomous and more energy efficient processes in some very specific areas, particularly in the management of household heating/cooling systems, and in the environmental monitoring. The basic concept is to convert a fraction of the energy that would be normally dissipated by the process into electrical energy. These "secondary" energy sources are then used as primary sources in micro generators whose electrical current will be used to power the devices distributed along the process. The physical phenomena involved in this energy conversion can be essentially: the piezoelectric, photovoltaic and thermoelectric effects and phenomena related to fluid dynamics. Significant examples of energy harvesting are evident in particular in the following scientific fields: the construction of electric generators coupled to microturbines (Chunyan et al., 2010), (Bansal et al, 2009), (Yan et al., 2011), (Zainuddin, H et al., 2009); the Stirling thermodynamic cycle (Valdes, 2004), the Seebeck effect in thermoelectric generators (Lineykin et al., 2007), (Lu et al., 2010) and an Helmholtz resonator based generator (Kim et al. 2009).
Within this context the objective of this work is to present a trade-off analysis between different types of hydraulic machines, electric generators and energy storage units to reach a good compromise in the design of harvesting devices to be integrated in fluid distribution systems.
The present section describes the system configuration of the energy harvester (or scavenger) used to supply a thermostatic motorized valve of a heating system for residential applications.
The Scavenger of Fig. 1 is composed by three main subsystems:
hydraulic machine
electric generator
energy storage unit
Hydraulic Energy Harvester system scheme
A cross flow turbine transforms the hydraulic power of the water flow into mechanical power used to drive a small electric generator. The device includes an energy storage unit to match the relatively constant power production profile of the generator unit with the more discontinuous one that characterizes the load. Additionally, since the generator and the valve are in series, the energy storage ensures the possibility to open the valve from the closed state (no flow). The energy is then stored during the peaks of production and then reuse it in a second time when prompted by the operational unit, the valve in our case. To this end the power management system is made to operate at its Maximum Power Point (MPPT) through closed loop control of recovered current from the scavenger unit.
The collection of specifications starts from the hydraulic data available for the system from which we want to extract the energy. The typical flow rate of household heating system pipelines is between 1.3 and 4 l/min. The geometrical size of the device must be compliant with the available space at the interface between the heating element of conditioning systems and the pipeline. Other specifications are related to electrical power and voltage that must be generated. A campaign of experimental tests performed on motorized thermostatic valves shows that the average power is about 100mW with peaks that can reach 1 W for a short time during valve actuation. The minimum nominal voltage must be compatible to the voltage generated by a couple of AA-type batteries currently used to power the electronic thermostatic valves actuation units. Table 1 lists the above-mentioned specifications.
water nominal flow rate | 2 | l/min | |
radial size | <60 | mm | |
axial size | <90 | mm | |
min nominal voltage generated | "/>3 | V | |
nominal power generated | 100 | mW |
System specification
In addition to specification some key choices are taken to proceed with the design, they are summarised in Tab. 2. One aspect which strongly influences the design of the system is the size of the inlet nozzle of the hydraulic machine. This choice is driven by the need to avoid chocking of the nozzle because of the large amount of dirt particles that characterize the fluid of heating systems. The design choice is to have a nozzle diameter
inlet nozzle diameter | "/>4 | mm | |
generator rated speed | 1000 | rpm |
Design choices
This phase is carried on by splitting the system in its three subsystems. Following the transformations of energy that take place in the device the hydraulic machine is met first, then the electric machine and finally the energy storage unit, without neglecting their mutual interactions.
We start from the conversion of the kinetic energy of the water into mechanical rotational energy of the hydraulic machine runner. Different typologies of machine are considered for the hydraulic machine: water turbines for mini and micro power plant and a gear pump. The water turbines for micro-hydropower generation can be classified into two main categories: impulse turbines and reaction turbines as described in (Inversin 1994) and listed in Fig. 2. In impulse turbines there is no expansion of the flow within the moving blades of the runner and, as such, the pressure remains constant while passing over the blades. In reaction turbines the stream expands as it flows over the blades, therefore producing a drop in pressure which gives a reaction and hence motion to the rotor.
Classification of turbines for micro-hydropower generation
In general, impulse turbines are used for high head plants while reaction turbines for low head sites.
The turbines available on the market are usually very large compared to what needed for the present application, so a new turbine needs to be designed following the indications and design criteria of classical hydropower turbines of much larger dimensions.
For a given nominal output rated power and flow rate, equation (1) allows evaluating the pressure drop across the hydraulic machine:
Then, from the energy conservation principle of an ideal fluid inside a pipeline (i.e. the Bernoulli\'s principle) it is possible to determine the head of the water flow
From the head
where
The circumferential speed
where
A trade-off analysis has been performed between different kind of turbines by making the preliminary design of the runner. The case of hydraulic gear motor has been included in the trade off study along with the classical Francis, Pelton, and Banki turbines. The results of the preliminary design are presented in Tab. 3. All of them are compatible in size with the design specifications.
In addition to the preliminary design, other critical aspects related both to functionality and practical feasibility have been considered in the trade-off. In particular, the overall dimensions of the different layouts have been evaluated along with the possibility to integrate the rotor of the electric machine to that of the turbine, and with the need of avoiding chocking due to the debris transported by the water flow. Finally, the constructive complexity of the different parts has also been considered, in particular focusing on rotor and stator. Each of these aspects have been ranked in a three step scale. The results of this trade-off are reported in Tab. 4.
pressure drop ( | 4200 Pa | |||||
head ( | 0.43 m | |||||
nozzle jet speed ( | 2.17 m/s | 2.78 m/s 2.84 m/s | ||||
circ. runner speed ( | 1,65 m/s | 1.33 m/s 1.33 m/s | ||||
Runner diameter ( | 31 mm | 25 mm 24 mm | ||||
Displacement ( | 2,5 cm3/turn |
Preliminary design of hydraulic machines. Comparison of the main parameters of the different solutions.
Radial size | ** | ** | ** | * | |
Axial size | ** | ** | *** | ** | |
Rotor complexity | * | * | *** | *** | |
Stator complexity | * | ** | *** | ** | |
Electric machine interface | * | ** | *** | ** | |
Choking risk | * | ** | ** | * | |
*** good, ** average, * bad |
Trade-off analysis between hydraulic machines.
The Cross Flow or Banki turbine appears to be the best in almost all aspects examined. Its strengths are the simplicity of construction, the compact size, a good interfacing capability with the generator and a limited risk of choking.
Following the Banki water turbine theory reported in (Mockmore et al. 1959) the two main parts of the turbine, namely the nozzle and the runner, have been designed. The design drawings of the Banki turbine runner are shown in Fig. 3, and its characteristic parameters are given in Tab. 5.
Banki turbine runner: a) 3D model. b) geometrical parameters.
inlet nozzle diameter | 4 | mm | |
runner diameter | 24 | mm | |
center of blade curvature diameter | 17.7 | mm | |
blade root diameter | 15.8 | mm | |
blade curvature radius | 7.8 | mm | |
runner breadth | 5 | mm | |
number of blades | 18 | - |
Cross flow or Banki turbine construction parameters.
In order to convert the rotational mechanical energy from the turbine shaft into electrical energy which can be used to power the wireless spot and operate the valves of the system, a miniaturized electrical generator has been designed especially for this application. Two different configurations of generators have been investigated in order to obtain a clear perspective on the advantages and drawbacks of each one. The first configuration is based on a multiphase permanent magnet generator layout. The second is a single phase permanent magnet generator having claw pole structure. Fig. 4 shows the two different configurations describing the main components of the electrical machines, namely, rotating permanent magnet (1), generator’s coil (2), and stator yoke (3).
Both cases consider permanent magnet excitation on the rotor. It is known that for reduced size applications such as the present one, it is better to use permanent magnet excitation instead of electrically excited magnetic systems. The electrical excitation is disadvantageous in these cases owing to unfavourable scaling of the currents (Arnold 2007).
Configurations of electrical machines studied during the trade-off analysis. a) Two phase generator; b) Claw pole generator.
A trade-off analysis is performed using virtual prototyping tools. The difficulties related to the mechanical layouts were studied using CAD models while the electrical and magnetic properties were analyzed using analytical and finite element (FE) models.
Configuration 1 | Configuration 2 | |
Multiphase | Claw pole | |
Rotor complexity | *** | *** |
Stator complexity | * | ** |
Overall volume | * | ** |
Number of pole pairs | * | *** |
Winding complexity | ** | *** |
Detent torque | * | ** |
*** good, ** average, * bad |
Comparison between multiphase and claw pole layouts.
From these models it is possible to obtain a relatively accurate perspective of the critical aspects related to the feasibility of each configuration of the generator. From the application point of view, the most important characteristics are compared in Tab. 6. Analyzing the table, it is easy to conclude that the claw pole configuration is more suitable for this application. Its layout makes it possible to obtain a simple and compact structure, and, since the output voltage must be rectified to supply the batteries, there is no advantage in having a multiphase winding, such as configuration 1. Furthermore, the single phase winding enables having a larger number of magnetic pole pairs, thus resulting in an increase of the frequency of the induced electromotive force (EMF), which is beneficial from the electronic point of view. Another aspect that cannot be neglected is the amplitude of the detent torque generated by the interaction between rotor’s permanent magnets and stator’s yoke (Lossec et al. 2010). A larger number of pole pairs tends to reduce the amplitude of the detent torque for the same rotor radius since the slot opening is reduced (Hendershot et al 1994). Moreover, the geometry of the teeth in the claw pole configuration can be adjusted in order to further reduce the cogging torque. On the other hand, the multiphase configuration creates problems in this aspect due to the difficulty in realizing yoke and windings having such small dimensions.
The prediction of the generator’s performance is developed by means of FE simulations. The simulations are performed using a stationary formulation without electric currents for one single pole pair of the electrical machine. Non-linear magnetic properties were considered in the iron parts of the structure. Fig. 5 shows the model used in the finite element modeling, evidencing the use of cyclic symmetry boundary conditions to improve the modeling quality with reduced computational cost. The analyses are conducted in order to calculate the flux linking the coil for different values of rotor angles. This information is then used to evaluate the induced voltage with respect to the rotor’s spin speed. To this end, the problem is set to allow the rotor mesh to move with respect to the stator mesh, thus enabling the calculation of the magnetic quantities for different values of angular position between the two. Notice that the air surrounding the rotor and stator of the electrical machine is modeled, but is not shown in the illustration. Fig. 6 shows the results obtained from the FE model evidencing the path of flux lines inside the stator’s yoke (Fig. 6b). Moreover, it can be noticed that the flux densities inside the iron are relatively low (Fig. 6a) resulting in very little or no saturation.
Settings of the FE model for the magnetic simulations.
The parameters characterizing the system described in the FE simulations are summarized in Tab. 7, and the flux linkage wave calculated with the FE model is illustrated in Fig. 7. Observing the graph it can be noticed that the flux linking the coil realizes one complete period every 45 mechanical degrees, evidencing the existence of eight magnetic pole pairs. Furthermore, the flux linkage is a sinusoidal function of the rotor angle and, since the generator operates at constant rotating speed during most of its operative life, the analysis can be performed in terms of RMS quantities.
The velocity constant
The induced electromotive force
where
Parameter | Symbol | Value | Unit |
Stator’s outer diameter | 31.5 | mm | |
Stator’s inner diameter | 20 | mm | |
Rotor’s outer diameter | 19 | mm | |
Active length | 12.5 | mm | |
Air gap length | 0.5 | mm | |
Number of pole pairs | 8 | - | |
Coil turns | 1200 | - | |
Permanent magnet induction | 0.42 | T | |
Velocity constant | 9.41 | V/krpm |
Claw pole generator nominal parameters.
Results of the finite element simulations on the claw pole generator. a) Magnetic flux density in the stator in teslas (T); b) magnetic flux lines inside the iron.
Flux linking the generator’s windings for different values of rotor angle.
In order to properly manage the energy coming out from the generator, it is necessary to consider that the maximum amount of power is generated when the impedance of the load is nearly equal to the impedance of the generator. Due to this limitation it is important to design a control system shown in Fig.8 that can monitor, manage and store the energy in order to increase the efficiency of the whole system. For this reason the energy converter can be divided into several subsystem:
rectifier
DC/DC regulator
storage system
control system
The main idea was to develop each single subsystem in order to have more degree of freedom for each subsystem: active rectifiers to reduce energy losses and perform a Power Factor Corrector (PFC) regulation, independent DC/DC regulator with different Maximum Power Point Tracker (MPPT) according to the instantaneous situation, charge controller to ensure a good storage reduce as much as possible the memory effects in the battery, and a unique controller to manage properly all the interaction and the functions of these systems.
Due to the limited time for testing and to simplify the construction of the first prototype, an integrated solution shown in Fig. 9 is preferable to reduce cost and to obtain a suitable industrial solution. For these reason some solution from Linear Technologies (LT) turned out to be useful because they include into a single chip the DC/DC regulator, the charge controller and the main control system, therefore reducing cost and implementation time. Only few additional components have been selected and added to the integrated chip to obtain the final requested solution.
Architecture component interaction and interconnection.
Block diagram of the integrated solution with LT components
The electric generator produces a sine wave with an electric frequency proportional to the mechanical velocity of the hydraulic turbine
where
The easiest way to convert this sinusoidal voltage into continuous voltage is using a rectifier bridge; the ideal solution is based on active rectifier to obtain a voltage drop as lower as possible, but for this application, during the first tests, the results were not so different using a traditional passive rectifier instead. For this reason the first prototype was developed using a simple single phase rectifier composed by four Schottky diodes to reduce as much as possible the power losses. Using BAT54 diodes the voltage drop is about 250÷400 mV, equal to 500÷800 mV for each stage of conversion according to the current flow. A 10uF capacitor is enough to keep constant the voltage with a low output ripple (<1% of the maximum peak voltage).
The second stage is the regulator used to increase or reduce the input voltage to provide an output voltage around 3÷3.3 V to properly supply any kind of microprocessor or actuator. Using a buck-boost converter it is easy to satisfy this requirement but, due to the lower amount of energy generated by the turbine, it is necessary to implement also the MPPT algorithm. The Maximum Power Point Tracker is an algorithm normally used in photovoltaic cells; its role is to constantly check the input voltage and current to know exactly how much power is available and to limit the current absorption from the generator so as to keep always the condition of maximum production (see Fig. 10). To perform this operation it is necessary to use two different feedbacks: the first is used to check the output voltage to keep it constant with a low ripple; the second one checks the input current, limiting its absorption by varying the duty cycle of the DC/DC converter. In this way even if a very heavy load, alike a completely discharged battery, is connected, the converter can make the generator work in the most efficient condition. This algorithm needs to be included into the general control system alike an independent microprocessor or an integrated chip. The use of a microprocessor allows to modify these conversion algorithms without hardware changes, but only varying the internal control parameters.
Current adjustment from MPPT to achieve maximum efficiency
In this system, the recovered energy can be used directly by the loads or can be partially stored for future use. The storage system can be divided in two main components based on different technologies:
electrostatic storage ( super capacitors): most suitable when the load requires small quantity of energy in short interval (less than 5÷15 minutes) and the generator can provide always the average energy required. The auto-discharge factor is higher than in the chemical solution but in the short period is a value than can be neglected.
chemical storage ( NiMH o LiIon batteries): most suitable if the generator has an intermittent production or the load requires medium/high quantity of energy with long pause interval also when the generator is switched off. The auto-discharge factor is low but the storage efficiency is lower than in the electrostatic storage, causing efficiency reduction during charge and discharge.
If the load is composed by a combination of continuous small absorptions with occasional high requests of energy, it can be useful to combine the above storage technologies in order to reduce energy losses.
The first prototype was not developed using an independent control system and energy converter, but using an integrated solution were all the three elements are included into one single chip. Two different boards were developed using two chips from Linear Technologies. The first solution used the LTC3108, a buck-boost converter without MPPT algorithm but capable of converting input voltages lower than 200mV. This solution was adopted due to the extremely low power coming out from the generator in the first prototype developed. Increasing the generator production, it was possible to move to the LTC3105 regulator, that is capable of converting input voltages higher than 500mV till to 5V, including an internal MPPT control in order to adapt the load absorption according to the generator production.
DC/DC converter: LTC3108 controller (1), output voltage selectors (2), input terminal, switching inductance and filters (3), regulated output 2.3V÷5V (4), 5.25V storage battery or capacitor (5)
In the test board two different topologies were tested. The first one used an output voltage set to 2.2÷2.3V connected to a 1F 2.3V super-capacitor (see Fig. 11). This solution was adopted to supply a very light load like a microcontroller (PIC16F886) that run a simple code to only switch on and off one led. The second solution used an output voltage of 4V to supply directly the load and to recharge the 3.6V 220mA battery; specifically, when the converter was on, the remaining current that was not used by the load was employed to recharge the battery, whereas when the input generator was off, the OUT pin was disconnected from the converter so that all the energy required was provided by the battery. A custom external controller is necessary to ensure battery protection from deep discharges (< 3V) during switch-off period to prevent irreversible damage to the cells.
The system described in the previous sections was implemented and experimental tests were carried out to verify the correspondence between the design model and the real system. The experimental tests were first addressed to investigate the performance of each subsystem and in the second instance of the whole system. For this purpose several test rigs have been built in order to characterize the single components and the interactions between them. Experimental tests verified the nominal design expectations and have been used also to perform sensitivity analysis on different parameters of some components.
To characterize the electric generator, a “dry” test rig was developed as shown in Fig. 12. It is constituted of a DC electric motor (2), which is used to drive the generator’s rotor, and the generator’s stator (1). A DC power supply is used to energize the drive motor and to put the generator rotor into rotation at different rotational speeds. The values of induced EMF measured during the tests are compared to the FE model in Fig. 13.
Dry Test Rig realization
Different configurations of the generator have been implemented and investigated with several values of the air gap
In Fig. 14 the generated power is plotted as function of the rotating speed of the generator for the different air gaps. It is clear that the rated generated power is significantly less than the 100 mW required. This is due to the fact that it was not possible to find a ferrite with a value of the permanent magnet induction equal to 0.42T but only 0.27T, with a consequent loss in performance. It must also be emphasized the drastic lack of performance in terms of power generated by the increasing of the air gap from the nominal value of 0.5 mm up to the value of the wet test rig equal to 1.25 mm.
Induced emf for different values of the air gap :
Air gap Sensitivity Analysis: generated power with external load equal to generator resistance.
Number of coils Sensitivity Analysis: generated power with external load equal to generator resistance. Nominal
A lower influence has been found with the variation of the number of coils of the generator stator
A second test rig has been developed in order to test the electrical generator coupled with the hydraulic turbine, which makes it possible to characterize both the generator and the hydraulic machine as shown in Fig. 16. This wet test rig is composed by the scavenger (1), connected in series to a flow meter (2), which are both supplied by a domestic water pipeline, where the water flow is adjustable by a tap (3). The measuring system consists of a flow meter (2), a multimeter (4) and an oscilloscope (5) in order to correlate the generated power with the available flow rate. In the lower left box of Fig. 16 an enlarged view of the rapid prototyping realization of the scavenger (1) is also shown.
In Fig. 17 a cross-section of the scavenger is reported; the device incorporates a eighteen blades Banki turbine (1) (see Tab. 5 for other specifications) and a claw-poles voltage generator (2) (see Tab. 7 for nominal specifications). The design of the integration between the two parts required special attention, in particular to ensure the sealing between rotating and fixed parts and to prevent the direct contact between the main water flow and the electrical generator. The presence of the magnet in the generator rotor and ferromagnetic residues in the water may lead to choking risk. To solve the problem of sealing an O-ring (4) has been introduced; to limit as much as possible the choking risk labyrinth seals have been used among the rotor housing and the runner.
Wet Test Rig: scavenger (1), flow meter (2), domestic water supply and tap (3), multimeter (4) and oscilloscope (5).
Cross-section view of the scavenger: Banki turbine (1), claw pole generator (2), permanent magnet rotor (3) and O-ring (4).
Owing to manufacturing problems related to the choice of the rapid prototyping process, the implementation of the first scavenger prototype presented an air gap equal to 1.25 mm which is greater than the nominal value. This fact has a significant impact on the system performances as shown in Fig. 18. Comparing the data of the power generated by the wet test rig with those of the dry test rig, it is noticed a further drop of performance of the generated power. It goes from 9.1 mW produced at 1000 rpm on the dry test rig to 5.2 mW generated by the wet test rig. This decay can be explained with stick-slip phenomena present among rotating and non rotating parts of the turbine, and it will be addressed and fixed in future studies.
Wet Test Rig: generated power with external load equal to generator resistance. Nominal
This study presents the trade-off analysis, the design, and the experimental validation of an Hydraulic Energy Scavenger applied to a motorized valve for domestic heating systems. The trade-off analysis conducted on the hydraulic and electric machines has identified the Banki turbine coupled to a claw poles generator as the solution to investigate and design. In this configuration the axis of rotation of the machine results to be perpendicular to the flow of the water thereby limiting problems of choking. The models underlying the design are validated from the electrical perspective by the dry test rig, and for the whole system by the wet test rig. The investigation was performed for different values of the air gap t, of the number of coils N, and of the resistive load of the device. The comparison between model and experiments show a good correlation, even though the power generated by the device resulted to be lower than the desired design value. This lower power production is essentially related to manufacturing issues, namely an higher value of the air gap and a lower value of the permanent magnet induction. However, the good correlation between the experimental and theoretical data makes it possible to predict the achievement of the desired performance in case the indicated designed parameters are respected.
It is now almost evident that our world seems to have entered into an infinite loop of new outbreaks of variants of the coronavirus that led to the COVID 19 pandemic. Beginning in early 2020, the coronavirus spread throughout the world and caused concern, as reflected in the world stock indexes. Even in the third year of this ongoing pandemic, it is clear that, despite vaccination and awareness, the new variant Omicron is causing investors to panic [1, 2]. Due to the extreme impacts of these epidemics, it is critical to investigate pandemics and their pessimistically veiled aspects to develop effective strategies. In this chapter, we will explore how this health outbreak impacted the economy and financial markets and how market participants responded to the pandemic.
The rest of the chapter is organized as follows. In the following sections, we review the literature on how the pandemic impacts the equity market and provide a brief discussion on how COVID-19 differs from other crises. Section 3 presents a discussion of how the pandemics impact other financial assets, including communities, foreign exchange, and cryptocurrencies. The fourth section analyzes corporate characteristics relative to their responses to the ill effects of the pandemic. Lastly, we end with the concluding remarks.
Throughout human history, there have been numerous health outbreaks, such as foot and mouth disease, severe acute respiratory syndrome (SARS), bird flu (H5N1), and swine flu (H1N1). During the SARS outbreak in 2003, a total of 8098 people worldwide became sick, and 774 people died. Even though SARS is contagious and spread by close person-to-person contact, it is short-lived, with only 8 months separating the first reported case and the end of the crisis. While Ebola was first seen in West Africa, unlike other outbreaks, Ebola killed 86 people on the first day of the disease. It has shown fatality rates ranging from 25–90% in past outbreaks. These outbreaks have significant social and economic impacts, such as increasing social tension and people’s health as well as the economy.
Barro et al. [3] calculated that the death rate of the 1918–1920 Spanish influenza pandemic would imply a 6- to 8-percentage-point drop in GDP and consumption in a typical country. Other researchers, on the other hand, have shown that a health outbreak can have a significant impact on the stock market and real economic activity. During the SARS outbreak, for example, the growth rate of household income fell by more than 3% [4], while the average price of Hong Kong real estate fell by 1.6% [5]. In the same way, Ichev & Marinč [6] found that the 2014–2016 Ebola outbreak events were followed by bad financial market returns.
The epidemic had the most serious impact on the tourism industry: hotels, restaurants, theme parks, and airlines. Chen et al. [7] found that within a month of the SARS outbreak, Taiwanese hotel stocks experienced steep declines in earnings and stock prices (approximately 29%), while the manufacturing, retail trade, and banking industries were less affected. Meanwhile, some industries benefited from concerns about health outbreaks. During the SARS outbreak, the biotechnology sector emerged stronger [7]. Similarly, the study by Donadelli et al. [8] documented that disease-related news has a positive impact on pharmaceutical stocks. As a result, investors shifted their assets from the financial market to the relatively low-risk real sector [9].
The impact of the health outbreak does not only affect the economy and investors’ behavior; it also influences corporations’ operations and strategies. Health outbreaks have led to great uncertainty about future cash flow, and investors may reduce investment due to uncertain demand and limited budgets. Besides the uncertainty of the epidemic, which increases default rates on credit cards and mortgages [10], the cost of bank loans, restrains the volume of bank lending [11]. While the approval of vaccines significantly mitigates the adverse impact of the outbreak [11].
Media coverage of major disasters, such as the Ebola outbreak, can heighten anxiety, depression, and terror, leading to risk aversion and pessimism among investors. Del Giudice and Paltrinieri [12] investigated observed monthly flows of geographically specialized equity mutual funds in African countries during the Ebola outbreak. They discovered that the disease outbreak had a statistically significant negative impact on monthly net flows. The effect was especially strong when linked to the event’s media coverage. In a similar vein, Ichev and Marinč [6] proposed that outbreak events are more relevant for companies that are geographically closer to both the outbreak’s birthplace and the financial markets.
In short, the external and unexpected shocks from health outbreaks can affect economic trends and suddenly change investors’ sentiment. The magnitude of the adverse impact also depends on the industry, media coverage, and geographic area.
In 2008, the global financial crisis triggered a massive liquidity crisis as authorities hurried to implement emergency assistance packages to save financial institutions and enterprises. It saw the demise of well-known financial institutions such as Lehman Brothers, Freddie Mac, and Fannie Mae, as well as Northern Rock. It’s important to recognize that the pandemic issue is very different from the global financial crisis of 2008. The COVID-19 pandemic is a health-related disaster that has far-reaching consequences not just for global economies but also for our everyday lives.
While no two epidemics are comparable, the current pandemic is fundamentally different from previous outbreaks. COVID-19 is much more dangerous than previous outbreaks [13, 14, 15]. Compared to other health outbreaks, the number of deaths COVID-19 has caused (more than 5.64 million people as of January 28, 2021) is actually more comparable with previous flu pandemics. More stringent public health measures that disrupt economic activity were implemented in response to the pandemic. As a result, the COVID-19 pandemic disaster has paralyzed the world more than any other crisis. Empirical evidence also suggests that the impact of European and US markets during the era of COVID-19 is high as compared to the GFC time [16]. Additionally, the implied volatility index (VIX), also known as the “fear gauge,” has moved and has risen to its highest level since the GFC, while the US 10-year treasury yield index has fallen to a new low [17]. In addition, unlike other disease outbreaks, only WHO’s public health risk announcements related to COVID-19 had a significant negative effect on stock markets, at least for 30 days [18].
Overall, no pandemic is likely to have had such a devastating economic impact as COVID-19, which caused a near-total shutdown of social and economic activity.
In December 2019, the COVID-19 outbreak was triggered in the city of Wuhan, which is in the Hubei province of China. More than 2 years have passed, and the virus is still spreading over the planet. Although China was initially the epicenter of the outbreak, instances are now being reported in a variety of other nations. The impact of the outbreak was not only the slowing down of the Chinese economy with interruptions to production, the functioning of global supply chains has also been disrupted. The outbreak triggered fears and uncertainty in the financial markets, resulting in lower market returns and increased stock market volatility [18, 19, 20, 21, 22]. As a result, investors suffered significant losses in a short period of time due to a very high level of risks [23]. This, in turn, has led to more financial market turmoil and made the economic shock even worse. Compared to previous pandemics, there was more borrowing and more debt among businesses and households during this time. This makes the short-term shocks more powerful than in the past.
During periods of high economic policy uncertainty, especially during COVID-19, economic policy uncertainty has a significant impact on the financial stock market and affects investment returns. Various studies have examined the impact of investor sentiment on the stock market during the pandemic. Some researchers use the VIX as a proxy for investors’ general attitude or tone toward future cash flows and investment risk of a particular security or financial market (e.g., [15, 24, 25]). An increase in VIX indicates a greater need for risk protection and higher market volatility. In particular, the VIX is used to quantify investors’ fear. One of the early studies by Baker et al. [14] examined the US stock market volatility based on the daily news headlines and found that the pandemic had an unprecedented effect on VIX, especially after February 24, 2020. In addition, they argued that no prior infectious disease outbreak has resulted in daily stock market swings as dramatic as the response to COVID-19 developments in 2020. One of the possible explanations for this result would be the government’s limits on commercial activity and deliberate social separation, which have powerful consequences in a service-oriented economy.
Other researchers focused on the implied volatility derived from stochastic volatility models (e.g., [26, 27, 28]). For instance, Mirza et al. [28] evaluated the price reaction, performance, and volatility timing of European investment funds during the outbreak. They found that social entrepreneurship funds outperformed their counterparts during the epidemic. These results reflect the reality that as the world becomes increasingly uncertain, investors are putting more emphasis on social aspects. Stock volatility, however, is not directly observed in practice, but rather inherently latent. Thus, some researchers recommend using so-called realized volatilities, which are calculated by adding the squared intraday interval return, as a proxy for volatility. Chatjuthamard et al. [29] separated the realized volatility into continuous and discontinuous jump components to investigate the impact of COVID-19 on the global stock market. They found that an increasing the growth rate of COVID-19 confirmed cases would lead to increased volatility and jumps while reducing the return. Besides, they also found that the risk from COVID-19 overshadows economic, financial, and political risks. Overall, these studies highlight the fact that COVID-19 caused pronounced market movements, extreme volatility, and unprecedented disruption to the economy.
Though the pandemic has been found to disrupt the financial market, some industries have been more affected than others. In the wake of the pandemic, some industries (such as transportation, hotels, and restaurants) have ceased operations, while others continue to operate to provide basic requirements (e.g., communication, healthcare, and pharmaceuticals). As a result, investment and consumption patterns have shifted dramatically. Some of the losses are attributable to investors’ realistic estimate that profits may drop as a result of the pandemic’s effects. For instance, Mazur et al. [30] found that during March 2020, natural gas, food, healthcare, and software sectors performed abnormally well, generating high returns, whereas petroleum, real estate, entertainment, and hospitality stocks plummeted considerably, losing more than 70% of their market capitalizations.
In light of the growing disruptions caused by the COVID-19 pandemic, the information flow related to the pandemic is critical. The higher media coverage in the pandemic period led to negative sentiments which caused markets to decline and volatility to rise. This view is supported by Haroon and Rizvi [31], who found panic by news outlets has been linked to increased stock volatility and the association is stronger for industries severely affected by the pandemic’s occurrences. Researchers show the number of confirmed COVID-19 cases and deaths could be predictive factors of financial assets, such as stock volatility [19, 32], oil prices [33], and cryptocurrencies [34]. Similarly, Baker et al. [14] documented that news related to COVID-19, both positive and negative, is the dominant driver of large daily U.S. stock market moves. With technological advancement, a growing body of literature seems to agree that investors’ attention and trends measured by internet activities, such as Google Trends, Twitter tweets, and other social media trends, could possess predictive power for trading volume and volatility of financial assets. This view is supported by Chatterjee and French [35], who documented that equity market volatility and liquidity are more sensitive to the uncertainty contained in tweets, as measured by the Twitter market uncertainty index (TMU), during the outbreak. Interestingly, previous research has established that fake news and media coverage during the outbreak has had an adverse effect on some countries’ stock market returns [36].
The timeframe could be considered another determinant of the impact of the coronavirus on the global market. The global market’s uncertainty increased when the coronavirus moved from epidemic to pandemic stage (11th March 2020 onwards) [37]. The equity market dramatically fell during the pandemic stage, evident from the higher negative return.
Another factor that could impact the relationship between the COVID-19 situation and the stock market is government interventions. The government has played a critical role in addressing the crisis caused by this disease outbreak. During the recent pandemic, governments implemented a variety of policies to mitigate the pandemic’s impact. Globally, travel bans (i.e., closing international borders), lockdowns (i.e., restricting people’s movement), and fiscal stimulus and relief packages (e.g., monetary policy, interest rates, quantitative easing, and corporate bond liquidity stabilization fund) were implemented. Stock markets responded positively to these policies because they could slow the spread of the disease and potentially calm panic. This view is supported by Narayan et al. [38], who investigated the effects of the G7 countries’ government responses to the pandemic. They discovered that stock markets reacted favorably to government policies, particularly lockdowns. Baker et al. [14] agreed, finding that lockdowns and voluntary social distancing were the primary reasons why the US stock market reacted much more negatively to COVID-19 than to previous pandemics.
Government interventions signal changes in future economic conditions, which may affect company cash-flow expectations and, as a result, stock prices. As a result, investors may revise their portfolios, resulting in increased volatility within and across asset classes. In line with this notion, Zaremba et al. [39] investigate the relationship between COVID-19 pandemic policy responses and stock market volatility in 67 countries. Surprisingly, their findings suggested that stringent policy responses increase return volatility and that the effect is unrelated to the increase in confirmed COVID-19 cases and deaths. One implication of these findings is that, while government interventions may slow the spread of the pandemic, they may also increase volatility in financial markets, resulting in widespread sales of risky assets.
Though in previous health crises, the geographical location of the outbreak determined the relationship between the event and the financial market, globalization has brought economies closer together and strengthened the interdependence of financial markets around the world. The number of COVID-19 deaths in one country influences not only the performance of the local stock market but also the stock markets of other countries and commodities. Akhtaruzzaman et al. [40], for instance, found that listed firms across China and G7 countries experience a significant increase in conditional correlations between their stock returns as the pandemic’s trajectory develops. China and Japan appeared to be net spillover transmitters, implying that financial contagion follows a pattern similar to virus infection. He et al. [41] suggested that the impact of COVID-19 on the European and US stock markets has a spillover effect on the Asian stock markets, particularly China. In addition, they also reported no evidence to suggest that the outbreak has had a negative impact on these countries’ stock markets greater than the global average, as measured by the S&P Global 1200 index.
Conversely, some authors claim that the pandemic has accelerated the trend of de-globalization and de-dollarization [42]. Okorie and Lin [43] observe that the fractal contagion effect occurs only in the short run and that it disappears in the middle and long run for both stock market return and volatility. Similarly, Ali et al. [37] split the timeframe into three phases, beginning with casualties in China (which shows China as the epicenter of the epidemic), moving to the start of casualties in Europe (which shows Europe as the epicenter of the epidemic), and finally, when casualties began in the United States (the new epicenter). Unlike in previous pandemics, the levels of volatility in the Chinese market did not change significantly during all three phrases, indicating a lower level of global integration and early efforts by the authorities to stop the virus’s spread.
When faced with the unknown upheaval of the coronavirus crisis, investors fear and avoid taking any risks, leading them to engage in irrational behavior. After the GFC, investors are more sensitive to asset losses. As a result, they are more likely to imitate the behavior and actions of other investors based on private information or public knowledge about their behavior. This irrational behavior can lead to significant mispricing and might create additional risks in financial markets. In finance, this kind of action is also known as herding behavior. Prior literature suggested that, under extreme market conditions induced by COVID-19, herding behavior is more pronounced for upside market movement, lower market trading volume, and lower market volatility [44]. Similar results are also found in the cryptocurrency market [45] and crude oil market [46].
Everyone has an incomplete view of the world. But we form a complete narrative and fill in the gaps. Our past experiences shape who we are today, as well as our decision-making process. Likewise, it has been suggested that prior exposure to similar events can influence risk aversion and investment decisions [47]. This notion is also true during the recent pandemic. Researchers found supporting evidence for the imprint theory in the behavioral bias of investors. Investors who have previously experienced such crises are more likely to react promptly than those without such experience or imprints. In addition, the timely attention and proactive responses to coronavirus situations of both individuals and governments are more prominent in nations with previous health outbreak experiences [48]. It was found that during the COVID-19, countries that had SARS 2003 saw less return and volatility spillover between stock markets [49]. This could imply that companies with past pandemic experience were found to make better decisions in the coronavirus outbreak. However, researchers also found that the experience of the current pandemic also impacted investors’ decisions. Brands with names resembling aspects of the “coronavirus” began to experience abnormal losses and sustained periods of trading volatility [50]. Likewise, Yue et al. [51]‘s findings showed that households that know someone infected with COVID-19 lose confidence in the economy and are more likely to change their risk behavior and become risk-averse.
In view of all that has been mentioned so far, it seems that the recent pandemic COVID-19 has exacerbated financial market volatility and the economic shock. Nevertheless, the impacts of COVID-19 are heterogenous across industries, time frames, governments, and the flow of information.
As investors worry about the pandemic’s economic consequences, the volatility has spiked, in some cases to levels last seen during the global financial crisis. Market liquidity has deteriorated significantly and investors embraced alternative investments in their portfolio for higher returns and shifting away from low-yield debt securities. As part of this trend, precious metals [52, 53, 54, 55], bitcoin [52, 53], commodities [56, 57], and foreign exchange currencies [54, 58, 59] are all considered safe-haven assets in periods of financial crisis.
Precious metals, such as gold, silver, platinum, and palladium, are considered effective diversifiers against stock market returns in several developed and emerging economies. They can help investors build a portfolio that mitigates the downside market risk. Ji et al. [56] evaluated the safe-haven role of assets from December 2019 to March 2020. By observing the downside risk (i.e., the left-tail of the return distribution), they argued that gold has an irreplaceable role in preserving the value of investment during the recent crisis. Besides, many countries have adopted unconventional macroeconomic measures in response to the COVID-19’s impact on the exchange rate and to prevent disruption in the long-term downward trend in exchange rate volatility. And gold serves as a safe-haven asset to protect against the risk of exchange rate depreciation [60].
Yet, with the unique characteristics of COVID-19, gold could not always act as a safe haven. This view is supported by Akhtaruzzaman et al. [52], who found that gold served as a safe-haven asset for stock markets only from December 31, 2019 to March 2020. However, from March 17 to April 24, 2020, gold failed to protect investor wealth and became a hedge instead. This interesting result confirms the findings reported by Cepoi [36], who observed the gold return has a nonlinear positive correlation with the stock markets, which intensifies during extreme bearish and bullish periods, indicating that gold does not behave as a safe-haven asset. Likewise, Cheema et al. [54] suggested that during the pandemic, investors might have lost trust in gold and preferred liquid and stable assets rather than gold. Taken together, it is unclear whether gold acts as a safe haven during the COVID-19 turmoil.
Some claim that cryptocurrency or digital currency is distinct from financial assets and that it might be viewed as a new form of virtual gold. It is frequently portrayed as a panacea capable of replacing financial institutions and protecting the global financial system from sovereign risk and vulnerability [61]. Furthermore, the cryptocurrency appears to be unrelated to stock market returns [61, 62] and exchange rate [63]. Therefore, they are an ideal asset to reduce financial risks during periods of crisis. During the COVID-19, some researchers suggested that cryptocurrencies, such as Bitcoin, could play an important role as a safe haven (for example see [64, 65, 66]). Goodell and Goutte [65] applied wavelet methods to daily data of COVID-19 deaths and Bitcoin prices from December 31, 2019 to April 29, 2020, demonstrating that the intensity of the COVID-19 crisis caused a rise in Bitcoin prices. Similarly, Caferra and Vidal-Tomás [66] suggested that, unlike traditional stock markets, cryptocurrencies only experienced a brief moment of financial panic during COVID-19 because of the lack of a link between digital currency and the actual economy. Bouri et al. [53] also found that bitcoin is the least reliant and has a competitive advantage over gold and other commodities.
Nonetheless, some researchers argue that cryptocurrencies, such as bitcoin and ethereum, only exhibit short-term safe-haven properties as well as high volatility [67]. Cryptocurrencies appeared as speculative assets and presented more systematic risk than investments in the stock markets during COVID-19 [50, 54]. Conlon and McGee’s [68] finding suggested that, rather than acting as a safe haven, Bitcoin may instead increase portfolio downside risk relative to holding the S&P 500 alone. Yet, not all cryptocurrencies behave in the same manner. Goodell and Goutte [69] examine the role of COVID-19 in the paired co-movements of four cryptocurrencies and seven equity indices. They found that the co-movements between cryptocurrencies and equity indices gradually increased as the pandemic escalated. However, they also found that tether behaved differently from other cryptocurrencies. It moved negatively with equity markets both before and during the COVID-19 outbreak. One explanation for this result would be that the stablecoin tether has particular utility as a vehicle for liquidity, and one tether is supposed to be backed by one dollar. Hence, the properties of the tether are similar to those of fiat currency rather than digital currency. This finding is also consistent with Hasan et al. [70], who found Tether has emerged as a strong new safe haven during the pandemic.
In addition to gold and cryptocurrency, currencies and commodities can also potentially offer a safe-haven role in financial markets. Alali [58], or example, says that the Swiss franc is a good investment during a time when there is a lot of diseases. Similarly, Cheema et al. [54] also found the Swiss franc served as a strong safe haven during both the Global Financial Crisis of 2008 and the COVID-19 pandemic. Nevertheless, some studies suggest that cross-currency hedge strategies are likely to fail during this period. Umar and Gubareva [59] detected a positive relationship between the panic level, as measured by the Pavenpack Coronavirus Panic Index, and the dynamics of leading fiat currencies, such as the Euro, British pound, and Renminbi currencies.
The coronavirus has been labeled a pandemic; thus, its effects are expected to be seen throughout multiple countries, regions, and continents. To put it another way, it is likely to have an impact on worldwide demand and supply of products and services, particularly commodity prices. Ji et al. [56] show that soybean commodity futures remain robust as safe-haven assets during the current pandemic. There is also evidence of a positive relationship between commodity price returns and the global fear index (GFI), confirming that commodity returns increase as COVID-19 related fear rises [57]. In addition, Salisu et al. [57] also suggested that the commodity market offers better safe-haven properties than the stock market. Just like other financial assets, the properties of commodities are heterogeneous. Oil prices seem to have dropped a lot since the pandemic started, but food commodity futures like soybeans made money on average during the COVID-19 pandemic [56].
Considering all of this evidence, it seems that which asset is considered as a safe-haven asset during the COVID-19 turmoil. These inconsistent results are common findings in financial literature, suggesting that the relationship between financial assets is dynamic. Safe-haven assets can change over time [52, 70]. For example, gold may have been perceived as a safe haven during the early stages of the COVID-19, but as the pandemic progressed, gold has become a hedging asset instead.
While some researchers have focused on how the financial markets react to the pandemic situation, other researchers have focused on firm actions and characteristics during the outbreak. As mentioned earlier, the pandemic would impact the corporate operation. Governments are shutting down huge sectors of their economies, ostensibly to stop the spread of infectious diseases but potentially putting the vast majority of businesses in danger of running out of cash. While the effect is temporary for some firms, many firms will experience it in the long term, leading to financial distress. Under these circumstances, corporate funding is becoming increasingly important to prevent liquidity issues from becoming solvency issues (e.g., [71, 72, 73]). There is evidence suggesting that during the early phase of the pandemic, firms were able to raise substantial amounts of external financing by drawing down lines of credit from banks and by accessing the public market [74]. Besides, the rating risk induced by the COVID-19 shock could impact the firms’ decisions on the source of funding. Firms on the cusp of being downgraded to non-investment status (i.e., firms with a BBB rating) are likely to behave most aggressively to increase their cash-holding through their credit lines with banks, while AAA- to A-rated firms manage to maintain access to liquidity through the public capital market, that is, by issuing bonds and equity. In contrast to existing evidence on bond maturities in previous crises, firms chose to issue bonds with maturities that exceeded those of bonds issued before by the same firms, as well as the average maturities during normal times [75]. Considering all of this evidence, it seems that during the early part of the crisis, firms were able to raise funds quickly when the lockdowns began and cash flow shortfalls emerged. This suggests that lessons from previous crises have helped inform the policy response to the current pandemic.
A large number of published studies suggest that corporate governance could mitigate the negative effects of the health crisis (e.g., [76, 77]). Corporate governance practices are being tested and questioned in the aftermath of the COVID-19 outbreak. When it comes to meeting stakeholder expectations, businesses must make difficult decisions. In this situation, stakeholders would expect management to be quick to adapt and change the firm’s policies and processes. The pandemic, with its heavy toll on both social and financial aspects, has highlighted the importance of societal responsibility. According to Albuquerque et al. [76], firms with high environmental and social (ES) scores experienced lower stock price declines than other firms. This finding highlights how ES policies can help build resilience in the face of the COVID-19 pandemic. Similarly, Broadstock et al. [77] discovered that firms with high ESG (environmental, social, and governance) performance have lower downside risk and are more resilient during turbulent times, particularly during the COVID-19-caused financial crisis. According to the evidence reviewed here, corporate governance may strengthen corporate immunity to the COVID-19 pandemic.
Despite the fact that the COVID-19 shock was global, not all firms were impacted in the same way, and they did not respond in the same way. Firms with a high level of financial flexibility can more easily fund a cash flow shortfall caused by the COVID-19 shock. Furthermore, the uncertainty caused by the COVID-19 pandemic increases stakeholders’ demand for societal responsibility.
Pandemics are large-scale infectious disease outbreaks that can significantly increase morbidity and mortality over a wide geographic area. Furthermore, the recent COVID-19 virus outbreak demonstrates how infectious diseases spread quickly in open economies and can jeopardize a country’s economic stability. The impact of the COVID-19 pandemic will be devastating to the global economy, as it has been in previous crises. In comparison to previous crises, COVID-19 differs from other economic shocks in many ways, including the causes and the public policy response. As the pandemic spread, governments around the world halted economic activity, and panic caused by the economic consequences and uncertainty resulted in a stock market crash. Because of technological advancements, news travels faster than ever before, causing more panic and fear of more bad news. The volatility caused by the crisis influenced many investors’ perceptions and behaviors. For higher returns and portfolio diversification, investors turned to alternative investments such as commodities, cryptocurrencies, and foreign exchange. Nonetheless, as the pandemic spread, those alternative investments did not always result in lower downside risk and higher yield.
The pandemic has had an impact on businesses all over the world, but the damage has not been distributed evenly. Certain industries have suffered more than others, and many face an uncertain future. Firms would need to increase liquidity in their businesses as well as maintain good corporate governance in response to the crisis in order to create resilience during the pandemic outbreak.
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Luna-Muñoz and M.A.\nMeraz-Ríos",authors:[{id:"42225",title:"Dr.",name:"Jose",middleName:null,surname:"Luna-Muñoz",slug:"jose-luna-munoz",fullName:"Jose Luna-Muñoz"},{id:"114746",title:"Dr.",name:"Marco",middleName:null,surname:"Meraz-Ríos",slug:"marco-meraz-rios",fullName:"Marco Meraz-Ríos"},{id:"169616",title:"Dr.",name:"Maria del Carmen",middleName:null,surname:"Cardenas-Aguayo",slug:"maria-del-carmen-cardenas-aguayo",fullName:"Maria del Carmen Cardenas-Aguayo"},{id:"169857",title:"Dr.",name:"Maria del Carmen",middleName:null,surname:"Silva-Lucero",slug:"maria-del-carmen-silva-lucero",fullName:"Maria del Carmen Silva-Lucero"},{id:"169858",title:"Dr.",name:"Maribel",middleName:null,surname:"Cortes-Ortiz",slug:"maribel-cortes-ortiz",fullName:"Maribel Cortes-Ortiz"},{id:"169859",title:"Dr.",name:"Berenice",middleName:null,surname:"Jimenez-Ramos",slug:"berenice-jimenez-ramos",fullName:"Berenice Jimenez-Ramos"},{id:"169860",title:"Dr.",name:"Laura",middleName:null,surname:"Gomez-Virgilio",slug:"laura-gomez-virgilio",fullName:"Laura Gomez-Virgilio"},{id:"169861",title:"Dr.",name:"Gerardo",middleName:null,surname:"Ramirez-Rodriguez",slug:"gerardo-ramirez-rodriguez",fullName:"Gerardo Ramirez-Rodriguez"},{id:"169862",title:"Dr.",name:"Eduardo",middleName:null,surname:"Vera-Arroyo",slug:"eduardo-vera-arroyo",fullName:"Eduardo Vera-Arroyo"},{id:"169863",title:"Dr.",name:"Rosana Sofia",middleName:null,surname:"Fiorentino-Perez",slug:"rosana-sofia-fiorentino-perez",fullName:"Rosana Sofia Fiorentino-Perez"},{id:"169864",title:"Dr.",name:"Ubaldo",middleName:null,surname:"Garcia",slug:"ubaldo-garcia",fullName:"Ubaldo Garcia"}]},{id:"58070",doi:"10.5772/intechopen.72427",title:"MRI Medical Image Denoising by Fundamental Filters",slug:"mri-medical-image-denoising-by-fundamental-filters",totalDownloads:2564,totalCrossrefCites:17,totalDimensionsCites:30,abstract:"Nowadays Medical imaging technique Magnetic Resonance Imaging (MRI) plays an important role in medical setting to form high standard images contained in the human brain. MRI is commonly used once treating brain, prostate cancers, ankle and foot. The Magnetic Resonance Imaging (MRI) images are usually liable to suffer from noises such as Gaussian noise, salt and pepper noise and speckle noise. So getting of brain image with accuracy is very extremely task. An accurate brain image is very necessary for further diagnosis process. During this chapter, a median filter algorithm will be modified. Gaussian noise and Salt and pepper noise will be added to MRI image. A proposed Median filter (MF), Adaptive Median filter (AMF) and Adaptive Wiener filter (AWF) will be implemented. The filters will be used to remove the additive noises present in the MRI images. The noise density will be added gradually to MRI image to compare performance of the filters evaluation. The performance of these filters will be compared exploitation the applied mathematics parameter Peak Signal-to-Noise Ratio (PSNR).",book:{id:"6144",slug:"high-resolution-neuroimaging-basic-physical-principles-and-clinical-applications",title:"High-Resolution Neuroimaging",fullTitle:"High-Resolution Neuroimaging - Basic Physical Principles and Clinical Applications"},signatures:"Hanafy M. Ali",authors:[{id:"213318",title:"Dr.",name:"Hanafy",middleName:"M.",surname:"Ali",slug:"hanafy-ali",fullName:"Hanafy Ali"}]},{id:"41589",doi:"10.5772/50323",title:"The Role of the Amygdala in Anxiety Disorders",slug:"the-role-of-the-amygdala-in-anxiety-disorders",totalDownloads:9671,totalCrossrefCites:4,totalDimensionsCites:28,abstract:null,book:{id:"2599",slug:"the-amygdala-a-discrete-multitasking-manager",title:"The Amygdala",fullTitle:"The Amygdala - A Discrete Multitasking Manager"},signatures:"Gina L. Forster, Andrew M. Novick, Jamie L. Scholl and Michael J. Watt",authors:[{id:"145620",title:"Dr.",name:"Gina",middleName:null,surname:"Forster",slug:"gina-forster",fullName:"Gina Forster"},{id:"146553",title:"BSc.",name:"Andrew",middleName:null,surname:"Novick",slug:"andrew-novick",fullName:"Andrew Novick"},{id:"146554",title:"MSc.",name:"Jamie",middleName:null,surname:"Scholl",slug:"jamie-scholl",fullName:"Jamie Scholl"},{id:"146555",title:"Dr.",name:"Michael",middleName:null,surname:"Watt",slug:"michael-watt",fullName:"Michael Watt"}]},{id:"26258",doi:"10.5772/28300",title:"Excitotoxicity and Oxidative Stress in Acute Ischemic Stroke",slug:"excitotoxicity-and-oxidative-stress-in-acute-ischemic-stroke",totalDownloads:7157,totalCrossrefCites:6,totalDimensionsCites:25,abstract:null,book:{id:"931",slug:"acute-ischemic-stroke",title:"Acute Ischemic Stroke",fullTitle:"Acute Ischemic Stroke"},signatures:"Ramón Rama Bretón and Julio César García Rodríguez",authors:[{id:"73430",title:"Prof.",name:"Ramon",middleName:null,surname:"Rama",slug:"ramon-rama",fullName:"Ramon Rama"},{id:"124643",title:"Prof.",name:"Julio Cesar",middleName:null,surname:"García",slug:"julio-cesar-garcia",fullName:"Julio Cesar García"}]},{id:"62072",doi:"10.5772/intechopen.78695",title:"Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment",slug:"brain-computer-interface-and-motor-imagery-training-the-role-of-visual-feedback-and-embodiment",totalDownloads:1439,totalCrossrefCites:13,totalDimensionsCites:23,abstract:"Controlling a brain-computer interface (BCI) is a difficult task that requires extensive training. Particularly in the case of motor imagery BCIs, users may need several training sessions before they learn how to generate desired brain activity and reach an acceptable performance. A typical training protocol for such BCIs includes execution of a motor imagery task by the user, followed by presentation of an extending bar or a moving object on a computer screen. In this chapter, we discuss the importance of a visual feedback that resembles human actions, the effect of human factors such as confidence and motivation, and the role of embodiment in the learning process of a motor imagery task. Our results from a series of experiments in which users BCI-operated a humanlike android robot confirm that realistic visual feedback can induce a sense of embodiment, which promotes a significant learning of the motor imagery task in a short amount of time. We review the impact of humanlike visual feedback in optimized modulation of brain activity by the BCI users.",book:{id:"6610",slug:"evolving-bci-therapy-engaging-brain-state-dynamics",title:"Evolving BCI Therapy",fullTitle:"Evolving BCI Therapy - Engaging Brain State Dynamics"},signatures:"Maryam Alimardani, Shuichi Nishio and Hiroshi Ishiguro",authors:[{id:"11981",title:"Prof.",name:"Hiroshi",middleName:null,surname:"Ishiguro",slug:"hiroshi-ishiguro",fullName:"Hiroshi Ishiguro"},{id:"231131",title:"Dr.",name:"Maryam",middleName:null,surname:"Alimardani",slug:"maryam-alimardani",fullName:"Maryam Alimardani"},{id:"231134",title:"Dr.",name:"Shuichi",middleName:null,surname:"Nishio",slug:"shuichi-nishio",fullName:"Shuichi Nishio"}]}],mostDownloadedChaptersLast30Days:[{id:"29764",title:"Underlying Causes of Paresthesia",slug:"underlying-causes-of-paresthesia",totalDownloads:192666,totalCrossrefCites:3,totalDimensionsCites:7,abstract:null,book:{id:"1069",slug:"paresthesia",title:"Paresthesia",fullTitle:"Paresthesia"},signatures:"Mahdi Sharif-Alhoseini, Vafa Rahimi-Movaghar and Alexander R. Vaccaro",authors:[{id:"91165",title:"Prof.",name:"Vafa",middleName:null,surname:"Rahimi-Movaghar",slug:"vafa-rahimi-movaghar",fullName:"Vafa Rahimi-Movaghar"}]},{id:"63258",title:"Anatomy and Function of the Hypothalamus",slug:"anatomy-and-function-of-the-hypothalamus",totalDownloads:4558,totalCrossrefCites:6,totalDimensionsCites:12,abstract:"The hypothalamus is a small but important area of the brain formed by various nucleus and nervous fibers. Through its neuronal connections, it is involved in many complex functions of the organism such as vegetative system control, homeostasis of the organism, thermoregulation, and also in adjusting the emotional behavior. The hypothalamus is involved in different daily activities like eating or drinking, in the control of the body’s temperature and energy maintenance, and in the process of memorizing. It also modulates the endocrine system through its connections with the pituitary gland. Precise anatomical description along with a correct characterization of the component structures is essential for understanding its functions.",book:{id:"6331",slug:"hypothalamus-in-health-and-diseases",title:"Hypothalamus in Health and Diseases",fullTitle:"Hypothalamus in Health and Diseases"},signatures:"Miana Gabriela Pop, Carmen Crivii and Iulian Opincariu",authors:null},{id:"57103",title:"GABA and Glutamate: Their Transmitter Role in the CNS and Pancreatic Islets",slug:"gaba-and-glutamate-their-transmitter-role-in-the-cns-and-pancreatic-islets",totalDownloads:3478,totalCrossrefCites:3,totalDimensionsCites:9,abstract:"Glutamate and gamma-aminobutyric acid (GABA) are the major neurotransmitters in the mammalian brain. Inhibitory GABA and excitatory glutamate work together to control many processes, including the brain’s overall level of excitation. The contributions of GABA and glutamate in extra-neuronal signaling are by far less widely recognized. In this chapter, we first discuss the role of both neurotransmitters during development, emphasizing the importance of the shift from excitatory to inhibitory GABAergic neurotransmission. The second part summarizes the biosynthesis and role of GABA and glutamate in neurotransmission in the mature brain, and major neurological disorders associated with glutamate and GABA receptors and GABA release mechanisms. The final part focuses on extra-neuronal glutamatergic and GABAergic signaling in pancreatic islets of Langerhans, and possible associations with type 1 diabetes mellitus.",book:{id:"6237",slug:"gaba-and-glutamate-new-developments-in-neurotransmission-research",title:"GABA And Glutamate",fullTitle:"GABA And Glutamate - New Developments In Neurotransmission Research"},signatures:"Christiane S. Hampe, Hiroshi Mitoma and Mario Manto",authors:[{id:"210220",title:"Prof.",name:"Christiane",middleName:null,surname:"Hampe",slug:"christiane-hampe",fullName:"Christiane Hampe"},{id:"210485",title:"Prof.",name:"Mario",middleName:null,surname:"Manto",slug:"mario-manto",fullName:"Mario Manto"},{id:"210486",title:"Prof.",name:"Hiroshi",middleName:null,surname:"Mitoma",slug:"hiroshi-mitoma",fullName:"Hiroshi Mitoma"}]},{id:"35802",title:"Cross-Cultural/Linguistic Differences in the Prevalence of Developmental Dyslexia and the Hypothesis of Granularity and Transparency",slug:"cross-cultural-linguistic-differences-in-the-prevalence-of-developmental-dyslexia-and-the-hypothesis",totalDownloads:3601,totalCrossrefCites:2,totalDimensionsCites:7,abstract:null,book:{id:"673",slug:"dyslexia-a-comprehensive-and-international-approach",title:"Dyslexia",fullTitle:"Dyslexia - A Comprehensive and International Approach"},signatures:"Taeko N. Wydell",authors:[{id:"87489",title:"Prof.",name:"Taeko",middleName:"N.",surname:"Wydell",slug:"taeko-wydell",fullName:"Taeko Wydell"}]},{id:"58597",title:"Testosterone and Erectile Function: A Review of Evidence from Basic Research",slug:"testosterone-and-erectile-function-a-review-of-evidence-from-basic-research",totalDownloads:1331,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Androgens are essential for male physical activity and normal erectile function. Hence, age-related testosterone deficiency, known as late-onset hypogonadism (LOH), is considered a risk factor for erectile dysfunction (ED). This chapter summarizes relevant basic research reports examining the effects of testosterone on erectile function. Testosterone affects several organs and is especially active on the erectile tissue. The mechanism of testosterone deficiency effects on erectile function and the results of testosterone replacement therapy (TRT) have been well studied. Testosterone affects nitric oxide (NO) production and phosphodiesterase type 5 (PDE-5) expression in the corpus cavernosum through molecular pathways, preserves smooth muscle contractility by regulating both contraction and relaxation, and maintains the structure of the corpus cavernosum. Interestingly, testosterone deficiency has relationship to neurological diseases, which leads to ED. Testosterone replacement therapy is widely used to treat patients with testosterone deficiency; however, this treatment might also induce some problems. Basic research suggests that PDE-5 inhibitors, L-citrulline, and/or resveratrol therapy might be effective therapeutic options for testosterone deficiency-induced ED. Future research should confirm these findings through more specific experiments using molecular tools and may shed more light on endocrine-related ED and its possible treatments.",book:{id:"5994",slug:"sex-hormones-in-neurodegenerative-processes-and-diseases",title:"Sex Hormones in Neurodegenerative Processes and Diseases",fullTitle:"Sex Hormones in Neurodegenerative Processes and Diseases"},signatures:"Tomoya Kataoka and Kazunori Kimura",authors:[{id:"219042",title:"Ph.D.",name:"Tomoya",middleName:null,surname:"Kataoka",slug:"tomoya-kataoka",fullName:"Tomoya Kataoka"},{id:"229066",title:"Prof.",name:"Kazunori",middleName:null,surname:"Kimura",slug:"kazunori-kimura",fullName:"Kazunori Kimura"}]}],onlineFirstChaptersFilter:{topicId:"18",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"81646",title:"Cortical Plasticity under Ketamine: From Synapse to Map",slug:"cortical-plasticity-under-ketamine-from-synapse-to-map",totalDownloads:15,totalDimensionsCites:0,doi:"10.5772/intechopen.104787",abstract:"Sensory systems need to process signals in a highly dynamic way to efficiently respond to variations in the animal’s environment. For instance, several studies showed that the visual system is subject to neuroplasticity since the neurons’ firing changes according to stimulus properties. This dynamic information processing might be supported by a network reorganization. Since antidepressants influence neurotransmission, they can be used to explore synaptic plasticity sustaining cortical map reorganization. To this goal, we investigated in the primary visual cortex (V1 of mouse and cat), the impact of ketamine on neuroplasticity through changes in neuronal orientation selectivity and the functional connectivity between V1 cells, using cross correlation analyses. We found that ketamine affects cortical orientation selectivity and alters the functional connectivity within an assembly. These data clearly highlight the role of the antidepressant drugs in inducing or modeling short-term plasticity in V1 which suggests that cortical processing is optimized and adapted to the properties of the stimulus.",book:{id:"11374",title:"Sensory Nervous System - Computational Neuroimaging Investigations of Topographical Organization in Human Sensory Cortex",coverURL:"https://cdn.intechopen.com/books/images_new/11374.jpg"},signatures:"Ouelhazi Afef, Rudy Lussiez and Molotchnikoff Stephane"},{id:"81582",title:"The Role of Cognitive Reserve in Executive Functioning and Its Relationship to Cognitive Decline and Dementia",slug:"the-role-of-cognitive-reserve-in-executive-functioning-and-its-relationship-to-cognitive-decline-and",totalDownloads:23,totalDimensionsCites:0,doi:"10.5772/intechopen.104646",abstract:"In this chapter, we explore how cognitive reserve is implicated in coping with the negative consequences of brain pathology and age-related cognitive decline. Individual differences in cognitive performance are based on different brain mechanisms (neural reserve and neural compensation), and reflect, among others, the effect of education, occupational attainment, leisure activities, and social involvement. These cognitive reserve proxies have been extensively associated with efficient executive functioning. We discuss and focus particularly on the compensation mechanisms related to the frontal lobe and its protective role, in maintaining cognitive performance in old age or even mitigating the clinical expression of dementia.",book:{id:"11742",title:"Neurophysiology",coverURL:"https://cdn.intechopen.com/books/images_new/11742.jpg"},signatures:"Gabriela Álvares-Pereira, Carolina Maruta and Maria Vânia Silva-Nunes"},{id:"81488",title:"Aggression and Sexual Behavior: Overlapping or Distinct Roles of 5-HT1A and 5-HT1B Receptors",slug:"aggression-and-sexual-behavior-overlapping-or-distinct-roles-of-5-ht1a-and-5-ht1b-receptors",totalDownloads:20,totalDimensionsCites:0,doi:"10.5772/intechopen.104872",abstract:"Distinct brain mechanisms for male aggressive and sexual behavior are present in mammalian species, including man. However, recent evidence suggests a strong connection and even overlap in the central nervous system (CNS) circuitry involved in aggressive and sexual behavior. The serotonergic system in the CNS is strongly involved in male aggressive and sexual behavior. In particular, 5-HT1A and 5-HT1B receptors seem to play a critical role in the modulation of these behaviors. The present chapter focuses on the effects of 5-HT1A- and 5-HT1B-receptor ligands in male rodent aggression and sexual behavior. Results indicate that 5-HT1B-heteroreceptors play a critical role in the modulation of male offensive behavior, although a definite role of 5-HT1A-auto- or heteroreceptors cannot be ruled out. 5-HT1A receptors are clearly involved in male sexual behavior, although it has to be yet unraveled whether 5-HT1A-auto- or heteroreceptors are important. Although several key nodes in the complex circuitry of aggression and sexual behavior are known, in particular in the medial hypothalamus, a clear link or connection to these critical structures and the serotonergic key receptors is yet to be determined. This information is urgently needed to detect and develop new selective anti-aggressive (serenic) and pro-sexual drugs for human applications.",book:{id:"10195",title:"Serotonin and the CNS - New Developments in Pharmacology and Therapeutics",coverURL:"https://cdn.intechopen.com/books/images_new/10195.jpg"},signatures:"Berend Olivier and Jocelien D.A. Olivier"},{id:"81093",title:"Prehospital and Emergency Room Airway Management in Traumatic Brain Injury",slug:"prehospital-and-emergency-room-airway-management-in-traumatic-brain-injury",totalDownloads:49,totalDimensionsCites:0,doi:"10.5772/intechopen.104173",abstract:"Airway management in trauma is critical and may impact patient outcomes. Particularly in traumatic brain injury (TBI), depressed level of consciousness may be associated with compromised protective airway reflexes or apnea, which can increase the risk of aspiration or result in hypoxemia and worsen the secondary brain damage. Therefore, patients with TBI and Glasgow Coma Scale (GCS) ≤ 8 have been traditionally managed by prehospital or emergency room (ER) endotracheal intubation. However, recent evidence challenged this practice and even suggested that routine intubation may be harmful. This chapter will address the indications and optimal method of securing the airway, prehospital and in the ER, in patients with traumatic brain injury.",book:{id:"11367",title:"Traumatic Brain Injury",coverURL:"https://cdn.intechopen.com/books/images_new/11367.jpg"},signatures:"Dominik A. Jakob, Jean-Cyrille Pitteloud and Demetrios Demetriades"},{id:"81011",title:"Amino Acids as Neurotransmitters. The Balance between Excitation and Inhibition as a Background for Future Clinical Applications",slug:"amino-acids-as-neurotransmitters-the-balance-between-excitation-and-inhibition-as-a-background-for-f",totalDownloads:19,totalDimensionsCites:0,doi:"10.5772/intechopen.103760",abstract:"For more than 30 years, amino acids have been well-known (and essential) participants in neurotransmission. They act as both neuromediators and metabolites in nervous tissue. Glycine and glutamic acid (glutamate) are prominent examples. These amino acids are agonists of inhibitory and excitatory membrane receptors, respectively. Moreover, they play essential roles in metabolic pathways and energy transformation in neurons and astrocytes. Despite their obvious effects on the brain, their potential role in therapeutic methods remains uncertain in clinical practice. In the current chapter, a comparison of the crosstalk between these two systems, which are responsible for excitation and inhibition in neurons, is presented. The interactions are discussed at the metabolic, receptor, and transport levels. Reaction-diffusion and a convectional flow into the interstitial fluid create a balanced distribution of glycine and glutamate. Indeed, the neurons’ final physiological state is a result of a balance between the excitatory and inhibitory influences. However, changes to the glycine and/or glutamate pools under pathological conditions can alter the state of nervous tissue. Thus, new therapies for various diseases may be developed on the basis of amino acid medication.",book:{id:"10890",title:"Recent Advances in Neurochemistry",coverURL:"https://cdn.intechopen.com/books/images_new/10890.jpg"},signatures:"Yaroslav R. Nartsissov"},{id:"80821",title:"Neuroimmunology and Neurological Manifestations of COVID-19",slug:"neuroimmunology-and-neurological-manifestations-of-covid-19",totalDownloads:41,totalDimensionsCites:0,doi:"10.5772/intechopen.103026",abstract:"Infection with SARS-CoV-2 is causing coronavirus disease in 2019 (COVID-19). Besides respiratory symptoms due to an attack on the broncho-alveolar system, COVID-19, among others, can be accompanied by neurological symptoms because of the affection of the nervous system. These can be caused by intrusion by SARS-CoV-2 of the central nervous system (CNS) and peripheral nervous system (PNS) and direct infection of local cells. In addition, neurological deterioration mediated by molecular mimicry to virus antigens or bystander activation in the context of immunological anti-virus defense can lead to tissue damage in the CNS and PNS. In addition, cytokine storm caused by SARS-CoV-2 infection in COVID-19 can lead to nervous system related symptoms. Endotheliitis of CNS vessels can lead to vessel occlusion and stroke. COVID-19 can also result in cerebral hemorrhage and sinus thrombosis possibly related to changes in clotting behavior. Vaccination is most important to prevent COVID-19 in the nervous system. There are symptomatic or/and curative therapeutic approaches to combat COVID-19 related nervous system damage that are partly still under study.",book:{id:"10890",title:"Recent Advances in Neurochemistry",coverURL:"https://cdn.intechopen.com/books/images_new/10890.jpg"},signatures:"Robert Weissert"}],onlineFirstChaptersTotal:17},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[],lsSeriesList:[],hsSeriesList:[],sshSeriesList:[],testimonialsList:[]},series:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems.
\r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems.
\r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.
\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",annualVolume:11966,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorThree:null,editorialBoard:[{id:"252368",title:"Dr.",name:"Meng-Chuan",middleName:null,surname:"Ong",fullName:"Meng-Chuan Ong",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRVotQAG/Profile_Picture_2022-05-20T12:04:28.jpg",institutionString:null,institution:{name:"Universiti Malaysia Terengganu",institutionURL:null,country:{name:"Malaysia"}}},{id:"63465",title:"Prof.",name:"Mohamed Nageeb",middleName:null,surname:"Rashed",fullName:"Mohamed Nageeb Rashed",profilePictureURL:"https://mts.intechopen.com/storage/users/63465/images/system/63465.gif",institutionString:null,institution:{name:"Aswan University",institutionURL:null,country:{name:"Egypt"}}},{id:"187907",title:"Dr.",name:"Olga",middleName:null,surname:"Anne",fullName:"Olga Anne",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSBE5QAO/Profile_Picture_2022-04-07T09:42:13.png",institutionString:null,institution:{name:"Klaipeda State University of Applied Sciences",institutionURL:null,country:{name:"Lithuania"}}}]},{id:"39",title:"Environmental Resilience and Management",keywords:"Anthropic effects, Overexploitation, Biodiversity loss, Degradation, Inadequate Management, SDGs adequate practices",scope:"\r\n\tThe environment is subject to severe anthropic effects. Among them are those associated with pollution, resource extraction and overexploitation, loss of biodiversity, soil degradation, disorderly land occupation and planning, and many others. These anthropic effects could potentially be caused by any inadequate management of the environment. However, ecosystems have a resilience that makes them react to disturbances which mitigate the negative effects. It is critical to understand how ecosystems, natural and anthropized, including urban environments, respond to actions that have a negative influence and how they are managed. It is also important to establish when the limits marked by the resilience and the breaking point are achieved and when no return is possible. The main focus for the chapters is to cover the subjects such as understanding how the environment resilience works, the mechanisms involved, and how to manage them in order to improve our interactions with the environment and promote the use of adequate management practices such as those outlined in the United Nations’ Sustainable Development Goals.
",annualVolume:11967,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/39.jpg",editor:{id:"137040",title:"Prof.",name:"Jose",middleName:null,surname:"Navarro-Pedreño",fullName:"Jose Navarro-Pedreño",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRAXrQAO/Profile_Picture_2022-03-09T15:50:19.jpg",institutionString:"Miguel Hernández University of Elche, Spain",institution:null},editorTwo:null,editorThree:null,editorialBoard:[{id:"177015",title:"Prof.",name:"Elke Jurandy",middleName:null,surname:"Bran Nogueira Cardoso",fullName:"Elke Jurandy Bran Nogueira Cardoso",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGxzQAG/Profile_Picture_2022-03-25T08:32:33.jpg",institutionString:"Universidade de São Paulo, Brazil",institution:null},{id:"211260",title:"Dr.",name:"Sandra",middleName:null,surname:"Ricart",fullName:"Sandra Ricart",profilePictureURL:"https://mts.intechopen.com/storage/users/211260/images/system/211260.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}}]},{id:"40",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"