Open access peer-reviewed Edited Volume



Groundwater GIS Climate Change Rainfall Machine Learning Conditioning Factors Geospatial Spatial Prediction Statistical Methods Groundwater Discharge Remote Sensing Static Water Level

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About the book

Groundwater is a very crucial natural resource, especially in countries whose conditions are arid or semi-arid. Groundwater has notable advantages over the surface where it can be efficiently exploited when necessary and is less prone to disastrous events such as pollution. Therefore, understanding the methods for groundwater accessibility is crucial to plan and execute practical water resources strategies. Recently, the population of the world is facing shortages of freshwater supply. One way to overcome supply shortages is the identification of possible zones containing groundwater, which is commonly referred to as Groundwater Potential Mapping (GPM). In recent years, Remote Sensing (RS) technologies and Geographic Information System (GIS) have helped us to manage huge various spatial data. Therefore, the aim of this book is to evaluate the application of remote sensing technologies and GIS to GPM using machine learning algorithms as well as statistical methods. The finding of this study could be adapted for groundwater exploitation plans and decision-making process to support water resource management for reducing the costs and time in a similar environmental setting.

Publishing process

Book initiated and editor appointed

Date completed: May 26th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: August 15th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: November 3rd 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: January 2nd 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Bahareh Kalantar


Bahareh Kalantar is currently working at the RIKEN Center for the Advanced Intelligence Project (Tokyo, Japan) as a Postdoctoral Researcher on a full-time basis from April 2018 to the present. She was a visiting scholar at the University of Technology Sydney, Australia in April 2019. Dr. Kalantar was a recipient of the Australian Endeavor Research Fellowship Award in 2018. She holds a Ph.D. degree (2018) in Remote Sensing from the Universiti Putra Malaysia, Malaysia with a CGPA of 4.00/4.00. She received the best paper award at 2019 ISPRS Geospatial Week in Enschede, the Netherlands. She participated in many international conferences and has published several ISI journal papers. Her research interests are in the area of machine learning, GIS-based modeling, object detection, and tracking.

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Introducing your Author Service Manager

Mrs. Mia Vulovic

r. Hülya Şenol graduated from the Biology Department, Atatürk Education Faculty at Marmara University, Turkey in 1991. She has completed two master degrees, one in the field of Educational Sciences, Eastern Mediterranean University, Cyprus and one in Molecular Medicine, Near East University, Cyprus. Dr. Şenol holds a Ph.D. degree in Educational Administration, Management, Inspection, and Economy. She is a multidisciplinary researcher and has 28 years of teaching experience. From 1991 to 2011, she worked at many colleges in Turkey and in North Cyprus as an instructor, ISO 9001 committee member, and deputy principal. Dr. Şenol is a senior instructor in the Faculty of Arts and Sciences at Eastern Mediterranean University. She has earned many certificates about the education of trainers in Montessori education, educational sciences, and molecular medicine. Her current research interest areas are Educational Leadership, School Culture, Total Quality Management in Education, Service Quality in Education.

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