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In the last decades, the use of the sulfur dioxide (SO2) has become indispensable in the food industry. This substance is widely applied as antioxidant and antibacterial in many processed foods, being the most preservative used in the wine industry. In wines, SO2 prevents undesirable sensory properties and the spoilage of wines produced by chemical or microbiological agents. However, in recent times, it has been shown that the intake of SO2 implicates a wide range of adverse health consequences, such as allergic reactions and cumulative harmful effects [1]. Therefore, negative perceptions toward sulfites have been induced, and a significant increase on the demand of wines with low content of SO2 has been displayed by consumers in the last years [2]. For this reason, reducing the amount of SO2 in wines is a decisive strategy for the wine industry and one of the current topics on the oenological science.
In wines, SO2 is composed by total SO2, bound SO2, free SO2, and molecular SO2. Proper adjustment of the SO2 dosage is difficult because it depends on the equilibrium between its free and bound forms. The active form is molecular SO2, which depends on the concentration of free SO2 and the pH [3]. This active form has the antimicrobial and antioxidant properties. In terms of antimicrobial, an insufficient addition of SO2 will not ensure the wine protection, increasing the risk of yeast and bacteria proliferation. In terms of antioxidant, an inadequate dosage will allow an excessive oxidation of aromas and flavors, compromising the quality of wines [4]. Contrary, excessive dosages in wines may cause organoleptic alterations and also health reactions in consumers. Taking this into account, the International Organization of Vine and Wine (OIV) has progressively reduced the maximum limits of the total SO2 in wines, which is nowadays 150 mg/L for red wines and 200 mg/L for white wines, with some exceptions depending on the sugar content (Regulation (EC) No 607/2009).
Today, there is not a commercial product or recipe able to replace the widespread SO2 actions. Consequently, diverse technological strategies should be considered by winemakers in each stage of the winemaking process, according to the type of wine to be produced and the winery capabilities. From our point of view, these strategies should be addressed from three joint perspectives; microbiological strategies, physical technologies, and chemical treatments. In this sense, the Wine Technology Centre (VITEC) has been working in this research field since 2012. Our studies have been focused in red and white wines, especially regarding Tempranillo and Albariño grape varieties.
From a microbiological point of view, many factors should be taken into account to reduce the quantity of SO2 in wines. First, it should be considered that an endogenous content of SO2 is naturally produced by yeasts during alcoholic fermentation. Second, grape juice composition, yeast nutrition, and fermentation management may strongly influence the ability of yeasts to produce sulfites. Finally, microbiological stability of the SO2-free wines remains uncertain yet.
As mentioned above, the European Union regulates the levels of total sulfites in wines following the Regulation (EC) 607/2009. Therefore, wines must be labeled with the indication “contains sulfites,” when the total content of SO2 is over 10 mg/L, either exogenous or endogenous. Most organisms produce sulfites as a normal intermediate during digestion or synthesis of the sulfur-containing amino acids, such as methionine and cysteine [5]. Sulfites are minor by-products of yeast fermentation, and therefore, they are natural wine constituents. The ability of yeasts to form SO2 has been reported in different types of wines and geographical areas, and it was known long time ago and investigated intensively over the years [6, 7].
One of the most important factors to elaborate SO2-free wines is the choice of the suitable yeast strains used for the development of the alcoholic fermentation. During winemaking process, sulfur (naturally available as sulfate in grape juice) is used by yeasts in the synthesis of amino acids. In particular, Saccharomyces cerevisiae produces sulfite as an intermediate product during the assimilatory reduction of sulfate to sulfide, via adenosine-5′-phosphosulfate [6, 8]. The available sulfide (S2−) can be used in the synthesis of amino acids, as well as being excreted as hydrogen sulfide (H2S). Eventually, the sulfur amino acid biosynthesis (SAAB) pathway plays a crucial role in the active transport of sulfate (SO42−) into the cell, as well as in the reduction and production of SO2 and in the resistance of yeasts against this additive [9]. Yeast strains differ in their capacity to form SO2, estimating a total average content ranged from 0 to 115 mg/L [10, 11, 12, 13, 14]. Most strains of S. cerevisiae produce between 10 and 30 mg/L of total SO2. However, some of them may produce less than 10 mg/L, which were commonly called “low sulfite-forming strains” [6]. On the opposite side, “high sulfite-forming strains” are able to produce more than 100 mg/L. These classifications according to their ability to form SO2 during the alcoholic fermentation have been reported by several authors over the time [6, 7, 12, 14].
In the last years, the use of yeast strains with a low capacity to produce SO2 has been one of the most used strategies to reduce the amount of SO2 in wines [15]. Several studies have compared the amount of SO2 produced during alcoholic fermentation by different commercial and indigenous yeast strains. In 1985, Suzzi et al. [13] investigated the biological sulfite role in the stabilization of white wines by comparing 1700 strains of Saccharomyces isolated from spontaneous fermentations. The majority of them produced less than 10 mg/L of total SO2, around 350 produced between 10 and 20 mg/L, 52 strains produced between 20 and 40 mg/L, and just two strains produced more than 40 mg/L. More recently, an experiment carried out at industrial scale by Werner et al. [14] showed two distinguishable groups of yeasts, among 22 commercial strains. The first one produced under 10 mg/L of total SO2, and the second one produced between 10 and 20 mg/L. Significant differences among yeasts strains in production of SO2 (free and bound-SO2) were also described by Wells and Osborne [7]. In this case, values ranged from 25 to 60 mg/L of bound-SO2 were observed. In 2015, Miranda-Castilleja et al. [11] studied the production of total SO2 of 52 indigenous species of Saccharomyces from Querétaro (Mexico), and the obtained results ranged from 37 to 115 mg/L. More recently, VITEC has investigated the natural production of SO2 of 21 selected yeast strains (commercial and indigenous). Fermentations were conducted using Muscat grape juice at 18 and 25°C. These results showed a total SO2 production lesser than 10 mg/L in all cases. The results in agreement with other works which also showed diverse yeast strains are able to produce small amounts of total SO2 (<1.4 mg/L) [16, 17]. Thus, several commercial and indigenous yeast strains have proved to be able to produce SO2-free wines. However, other considerations should be taking into account, such as the organoleptic properties and microbial stability of this type of wines.
The formation of SO2 by yeasts is influenced by a complex interaction of genetic, physiochemical, and metabolic factors. H2S is one of the most undesirable metabolites derived from the alcoholic fermentations due to its unpleasant smell and taste. It should be noted that the biosynthesis and the production of H2S and SO2 are linked [18, 19]. As occurs in the case of SO2, the formation of H2S varies widely depend on the yeast strains [20, 21]. The release of H2S by yeast during the fermentation is a long-standing problem that has been extensively studied in comparison to the SO2 production. There has been an ever-growing interest in wine yeasts with low production in H2S. The selection of suitable strains has so far been the principal way of limiting excessive H2S formation. Other engineering strategies have been used for limiting its production, which generally consisted of overexpression or inactivation of some genes involved in the sulfate reduction pathway [22, 23, 24].
Both sulfites and hydrogen sulfides are produced during the biosynthesis of the sulfur containing amino acids, methionine, and cysteine, starting from sulfate assimilation. Given the metabolic link between H2S and SO2, such kind of biotechnological and engineering strategies firstly applied to reduce H2S production could also be applied to decrease SO2 formation by yeasts. Nonetheless, few works have been aimed to obtain both low SO2 and low H2S production. Three strains with low SO2 production (SO2 < 10 mg/L) and with reduced H2S production were selected by De Vero et al [25]. These authors proposed a strategy that combines sexual recombination and specific selective pressure to generate nongenetically-modified S. cerevisiae with desired oenological characteristics. More recently, new insight into the regulation of sulfur metabolism in wine yeasts by the identification of variants of MET2 and SKP2 genes within SAAB has been reported to modulate the production of sulfites and sulfides [26]. These results provide novel targets for the improvement of wine yeast strains orientated to produce SO2-free wines. This knowledge on the sulfate pathway provides a chance to successfully apply engineering strategies to select “low sulfite-forming” yeast strains. However, as we previously highlighted, the production of sulfites by yeast during fermentation not only depend on metabolic factors but also on the environment, including nutrients and fermentation management, among others. Hence, grape juices composition is an imperative factor that should be considered in order to elaborate this type of wines. The insoluble solids contained in the grape juice also appeared to have an effect on the SO2 content, and wines with the higher insoluble solids obtained lower values of SO2 [27]. In contrast, results obtained in our experimental cellar showed that grapes with higher content of soluble solids produced higher content of total SO2 (Figure 1). The biplot of the principal component analysis (PCA) shows that the amount of SO2 produced during the alcoholic fermentation is mainly favored by a high amount of sugars and a low quantity of nitrogen. Furthermore, musts fermented at low temperatures (18°C), and a low titratable acidity may contribute on the production of SO2.
Biplot performed by 74 wines produced from Tempranillo and Albariño musts.
In addition, the supplementation of musts with amino acids can significantly affect SO2 and H2S production depending on the amount added, the time of addition, and the nitrogen concentration [26, 28]. Individual amino acids such as methionine, cysteine, asparagine, and arginine have been shown to influence sulfite formation [18, 28]. Higher the concentration of methionine and cysteine in the grape must, lower the formation of SO2 [6]. Under ammonia limitations, the addition of nonsulfur amino acids tended to increase the formation of SO2 (but inhibits the formation of H2S). The addition of cysteine seems to increase the H2S content but inhibits the sulfite formation, and the addition of methionine inhibits both SO2 and H2S formation [28]. More recently, it was stated that methionine repressed the cysteine-induced increase in the H2S production but had no effect on the formation of SO2. Both compounds were produced in greater quantities by yeast when grown in the presence of increasing concentrations of cysteine [18]. It has been reported that yeasts produce higher concentrations of SO2 under higher yeast assimilable nitrogen (YAN) quantities [7, 29]. The supplementation on nitrogen using ammonium salts (sulfate or phosphate) allows higher growth rates and biomass yielding and also the stimulation of the fermentative activity [30, 31]. The addition of diammonium phosphate (DAP) significantly decreases H2S production and improves the kinetics of fermentation and aroma profile of wine [32]. In the last 5 years, VITEC has been studying the effect of ammonium sulfate and DAP addition on the amount of SO2 produced by yeast along of the alcoholic fermentation. Results obtained showed that the addition of the N-sources slightly increases the total content of SO2 in wines. The addition of ammonium sulfates and DAP using low sulfite-forming strains to ferment musts showed no significant differences. In the case of musts fermented by “high sulfite-forming” strains, the addition of DAP significantly increased the total content of SO2 [33].
Other important consideration to elaborate SO2-free wines is the management of the alcoholic fermentation. In this sense, it has been stated that temperature has several effects on biochemical and physiological properties in yeast cells. Some changes in the sulfur assimilation pathway by S. cerevisiae depending on temperature may occur [34]. Our results are in agreement with other authors, who reported that at low temperature, the SO2 production increases [26]. SO2 and H2S production is also affected by pH (acidic pH facilitate SO2 uptake) and concentration of some minerals (copper and zinc) and vitamins, such as pantothenate or thiamine [9, 26, 35]. Thiamine is a vitamin used as a co-enzyme in the alcoholic fermentation pathway. It stimulates yeast growth, speeds up fermentation, and reduces production of SO2 binding compounds. Thiamine supplementation allows the transformation of pyruvic acid to acetaldehyde and limits the accumulation of ketonic compounds on wine being considered a factor to reduce the SO2 amount on wines [36]. A deficiency in thiamine may reduce yeast growth, slow fermentation, and promote the accumulation of pyruvic acid and acetaldehyde, the components responsible of wine oxidation. The effect of major SO2 binding compounds (acetaldehyde, pyruvic, and α-ketoglutarate) on the production of SO2 by different yeasts strains is still poorly understood, and more studies should be performed to better understand their role on the SO2 production [7]. In this way, the results obtained in VITEC are in agreement with the results obtained by Comuzzo and Zironi [33, 36], who showed that the addition of DAP + thiamine reduced the production of α-ketoglutarate.
From a physical point of view, different technologies have been used to ensure the wine microbiological stability and to prevent oxidations [37]. The main advantage of using physical methods is the nonaddition of chemical substances that may affect human health. By these technologies, the preservation of the organoleptic properties of wines and the antimicrobial effect should be produced at the same time. Pulsed electric fields (PEF), ultraviolet radiation (UV), high hydrostatic pressure (HHP), and flash-pasteurization lead an antimicrobial result, while the use of ultrasounds (US) or inert gases does not share this property [38, 39, 40, 41]. The PEF consists in the application of short electric pulses of high intensity between two electrodes, producing electroporation of the cell membranes increasing their permeability. It has been shown that this technique is effective to inactivate both bacteria and yeasts [42]. Thus, PEF may be applied to eliminate undesirable microorganisms at different winemaking stages, for example, before bottling. It has been stated that the treatments with PEF also reduces the activity of enzymes, such as polyphenol oxidases and peroxidases, increases the extraction of phenolic compounds and affects the aromas of white wines [42, 43]. VITEC has evaluated the antimicrobial effect of PEF, HHP, US, and EMR (electromagnetic radiation). Figure 2 shows the obtained results after the quantification of viable yeasts and acetic acid bacteria (AAB) in Petri dishes culture. The PEF conditions were electric field 35 kV/cm, voltage 23 kV, pulse rate 0.65 kHz, pulse duration 2.5 μS, initial conductivity 5.04 mS/cm, flow 25 l/h, and initial temperature 20.8°C. The PEF 1 and PEF 2 differed on the final temperature of the treatment which was 23 and 31°C, respectively. Worthy results of PEF as antimicrobial technique were obtained, although high colony-forming units of yeast were observed in the case of PEF 1.
Evaluation of different physical treatments in Tempranillo and Albariño wines (at the end of the alcoholic fermentation) by the quantification of viable yeasts and acetic acid bacteria in Petri dishes culture (cfu, colony forming units).
The use of high hydrostatic pressures (HHP) was evaluated in our studies at different pressures (from 400 to 600 MPa) and times (1, 3, 5, and 10 min). HHP results showed that the inhibition of microorganism by this methodology depends not only on the time and pressure applied but also on the variety and the type of microorganisms (Figure 2). Tempranillo and Albariño yeast growth were inhibited by all pressures and times applied. However, in the case of acetic acid bacteria, the HHP treatment was very efficient for Tempranillo but not for Albariño wines. Even so, low levels of viable AAB (102 cfu/100 mL) were found. According to Bartowsky et al. [44], AAB populations from either spoiled or unspoiled wines ranged between 102 and 103 cfu/mL. According to the literature, pressures above 700 MPa may inhibit the polyphenol oxidase, although lower values of pressure are enough to inactivate yeasts and bacteria [45]. In our experiments, HHP results as a very effective technique against yeast and lactic acid bacteria and a lesser extent against AAB. At the studied conditions, HPP and PEF showed a noteworthy preservation of the organoleptic properties of wines (data not shown), according to other authors [45, 46, 47].
Other techniques, such as ultrasounds (US) and EMR, were also evaluated. The EMR is one of the most recent physical technologies evaluated in wines, which has shown a good potential in food processing, such as fruits, vegetables, and juices. This technique allows increasing the wine temperature for a short time period without any external heating source. EMR allows achieving the reduction of microorganisms with low effect on the organoleptic properties of wines, when compared with other heating techniques, such as flash pasteurization. However, recently studies have shown that the application of lower power microwave exposures may increase the growth of Bretttanomyces cells [48]. In agreement, Figure 2 shows an increase on AAB after the treatment with EMR in both cases. The application of US at different conditions considering time of application (from 1 to 3 min) and wavelengths (12, 43 and 75 μm) inhibited the yeasts growth but not the bacteria population (Figure 2). The effectiveness of US resulted lower than HHP, at least at the experimental conditions studied. As occurred with EMR treatment, an increase on the colony-forming units was observed after the treatment with US. Ultraviolet radiation reduces the population of wine microorganisms, but different resistances to the radiation have been stated depending on species. It appears to be an effective method against Brettanomyces, Saccharomyces, Acetobacter, Lactobacillus, and Pediococcus [46]. Furthermore, it has been described that phenolic compounds can absorb UV radiation and is therefore less effective in red wines. This technique seems to be more effective in white wines at the end of fermentation, when wines present low turbidity. In order to increase the total polyphenol, it could be also applied at maceration stage [38, 49].
In general, all the physical treatments assessed clearly affect the viability of lactic acid bacteria in Tempranillo and Albariño varieties. In both cases, only viable lactic acid bacteria were detected in the control (data not shown). The employed treatments reduced the viability of yeasts and lactic and acetic acid bacteria. However, in this study, both US and EMR were not effective enough to reduce the population of viable acetic acid bacteria. According to the results, AAB were more resistant to the treatments than lactic acid bacteria (LAB). Regarding techniques, a higher antimicrobial effect of HHP and EMR was observed in comparison to the other methodologies employed. Besides, some wines produced by US and EMR showed oxidation characteristics. As occurred in the antimicrobial assays, the optimization of methods and experimental conditions is an imperative action to avoid adverse effects on the sensory quality of wines. It should be noted that some of these physical techniques are commonly used in food industry, but their implementation on the wine sector is so far to be available for a daily work routine, mainly due to economic and technique questions.
The oxidation is one of the main processes that affect SO2-free wines. Apart from the mentioned technologies and despite of its antimicrobial effect is limited, the use of inert gases is more and more applied throughout the winemaking process. The oxygen control by the management of the inert gases during the winemaking process must be considered because they have an important impact on the organoleptic properties. Caps are the ultimate physical barrier to preserve wines during storage, and so their oxygen permeability should be considered. The long-term protection is one of the most concerns for wineries in bottled wines with reduced SO2 content [50]. The assays carried out in VITEC using argon and carbon dioxide showed valuable sensory results (Figure 3). The SO2-free red wines produced by the use of Ar and CO2 showed higher significant color intensity, tannic intensity, and dryness. Greater aroma intensity and mouthfeel were also found, although values did not show significant differences. In general, Tempranillo-bottled SO2-free wines obtained higher global punctuations than wines with SO2 addition.
Comparison of the sensory evaluation of Tempranillo wines elaborated using argon (Ar), carbon dioxide (CO2) and sulfur dioxide (SO2). * Significant differences by HSD Tukey test (p < 0.05).
The oxygen control during all the production process of this type of wines is an imperative engagement. It is important to take into account that wines without sulfite addition are exposed to physicochemical and microbiological alterations. Considering the techniques available in any winery, to avoid microbiological alterations, sterilizing filtration may be an alternative. However, this technique could reduce the sensorial quality of the wine because it is a very oxidative process. To ensure a correct conservation of the SO2-free wines, the amount of oxygen incorporated into wine should be controlled, especially at bottling, where concentrations from 0.2 to 4 mg/L may be incorporated, depending on conditions [51]. The amount of oxygen incorporated at bottling is the sum of the dissolved oxygen and the headspace oxygen, which is called TPO (total packaged oxygen). By our experience, between 0.5 and 1.5 mg/L of dissolved O2 is usually incorporated at this process. Moreover, the oxygen in the headspace changes depending on the type of closure. In submerged caps, the headspace height is commonly 1–2 cm, and the normal values of dissolved oxygen ranged from 0.5 mg/L (with the use of inert gases) to 2 mg/L (without inertization). In the case of screw caps, the headspace height is higher, about 4 to 6 cm, and the oxygen values ranged from 2 to 6 mg/L. In summary, in submerged caps, values of TPO around 1 or 2 mg/L could be optimum, but values over 3 mg/L are not suitable. In screw caps, TPO values around 2.5 mg/L are optimum, but values over 7 mg/L are not suitable. The type of caps employed not only changes the amount of oxygen incorporated at bottling but also is the ultimate barrier physic to protect wines during the storage period. Thus, a correct cap should be selected depending on the type of wine, and also its permeability to oxygen should be measured to estimate the optimum storage period. The measure of the oxygen transmission rate (OTR) helps to carried out these purposes. Figure 4 shows “high” and “low” oxygen permeability of different types of caps measured in VITEC by the MOCON® equipment. The OTR measurement corresponds to two natural corks stoppers. As can be seen in the figure, the cork stopper represented in green reached the stability of the oxygen permeability at 24 h, while the stopper represented in red did not reach this stability until the third day. Moreover, once reached the stability, the values of OTR were 4 times higher for “red” stopper than for “green”. It can be also observed a great decrease in the case of the “red” stopper, likely due to higher content of oxygen inside of the cork and therefore higher porosity.
Representative oxygen transmission rate (OTR) of caps with different oxygen permeability.
The addition of chemical substances to wines is the most used alternative to reduce the SO2 addition in wines. Over the years, the addition of several chemical substances has been allowed by the OIV with different purposes. Accordingly, new antioxidant and antimicrobial additives have been evaluated as possible alternatives to the use of the SO2 [37, 52]. Particularly, the addition of dry yeasts enriched in glutathione, chitosan, and dimethyl dicarbonate, and different hydrolyzed and condensed tannins were evaluated by our research group. The most relevant results and some considerations related to these practices are summarized below.
In the last years, the potential application of glutathione (GSH) has increased the attention of many winemakers and researchers. The addition of reduced glutathione to grape juices or wines is allowed by OIV up to 20 mg/L (OIV OENO 445/2015). The use of GSH in the wine production was reviewed in 2013 by several authors [36, 53]. Following studies also demonstrated that the combination of SO2 and GSH involves a notable protective effect in wines [54]. Recent studies have shown that the addition of glutathione-rich dry inactivated yeast to grape juices modifies the white wine aroma influencing the concentrations of some volatile compounds and precursors with some benefits on its preservation [55, 56, 57]. The GSH amount of wine changes depending on the winemaking period. Hence, this compound decreases after wine aging and storage; at pressing could increase its content up to 20 times [58].
Chitosan is a natural polymer formed by deacetylation of chitin, which has a wide range of applications in different field research, such as agriculture, food, and pharmaceutical industry, among others [59]. The use of this polysaccharide in oenology was approved in 2009 by the OIV to fining musts (OIV-OENO 336A-2009). Moreover, it also used as antimicrobial and antioxidant. Chitosan allows the growth of Saccharomyces strains but is an antimicrobial against Brettanomyces, acetic, and lactic acid bacteria [60, 61, 62, 63]. Commonly, it is used to preserve wine from oxidation and also as fining agent for white wine protein stabilization [64, 65]. Figure 5 shows the potential of chitosan as antimicrobial. In this case, a significant decrease on yeasts, LAB, and AAB after the addition of 10 g/hL of chitosan to Tempranillo wines (after alcoholic fermentation) was observed. This effectiveness was greater for yeasts, decreasing up to 1 × 104 cfu/100 mL.
Viable yeasts, lactic acid bacteria (LAB), and acetic acid bacteria (AAB) quantified in Petri dishes culture (cfu; colony-forming units) from Tempranillo wines before and after a treatment with chitosan (10 g/hL). *Significant differences by HSD Tukey test (p < 0.05).
Dimethyl dicarbonate (DMDC) was also accepted by European Union to be used in wine with a maximum limit amount of 200 mg/L (Regulation (EC) No 643/2006). DMDC is an organic chemical compound, which acts inhibiting the growth of microorganisms [9, 66]. When it is added to wines, it is quickly transformed to methanol and produces certain content on methyl and alkyl carbonates as products reaction by polyphenols or organic acids. These products are usually found at a low concentration, and so the quality of wine, flavors and aromas, should not be affected [67]. DMDC seems to be more effective against yeasts than against bacteria, although its activity depends on several factors, such as the pH [66, 67, 68]. In this sense, Figure 6 shows the results obtained by the addition of DMDC to Albariño musts. The above-mentioned antimicrobial effect can be observed in yeast, LAB, and AAB. However and as occurred with chitosan, DMDC treatment was clearly more effective in yeasts than in bacteria.
Viable yeasts, lactic acid bacteria (LAB), and acetic acid bacteria (AAB) quantified in Petri dishes culture (cfu, colony-forming units) from Albariño musts treated with dimethyl dicarbonate (DMDC = 20 g/hL). *Significant differences by HSD Tukey test (p < 0.05).
The addition of oenological tannins to wine is an accepted practice by the OIV (OENO 12/2002 and revisions OENO 5/2008, OENO 6/2008, OENO 352/2009, and OENO 554/2015), which mainly aims the color stabilization and the improvement of the wine mouthfeel and flavor. Quite a few studies have evaluated the influence of the tannin addition on the chemical and sensory properties of wines. However, the results obtained are not as promising as expected. In 2005, Bautista-Ortiz et al. [69] did not observe any improvement on the chromatic and sensory properties of wines treated with different oenological tannins. Harbertson and co-workers [70] observed that some additions may be unjustified and have limited or negative impacts on the wine quality. A wide range of commercial tannins exists on the market; nonetheless, a lack of information about the composition and origin of the product is a common pattern. This fact could lead to technological problems according to the expected final wine [71]. The antioxidant properties of tannins, with related health beneficial effects, and their benefits when added to wines are also well known [72]. Both characteristics make tannins a very attractive alternative to the use of SO2 in wine. Some studies showed hopeful results when mixed with antimicrobials, such as lysozyme [17, 73]. The studies carried out in VITEC have recently shown that the addition of tannins mixed with glutathione may be an effective alternative to the use of SO2 [74]. Figure 7 shows the sensory analysis of Tempranillo wines with addition of grape seed tannins (ST), grape skin tannins (SKT), oak tannins (OAK), and tara tannins (GAL). In general, the sensory profiles of wines produced with the addition of different tannins were similar (and even better) than wines elaborated by addition of SO2. Significant higher color intensity was observed between control and treated wines. Treated wines also obtained significant dryness and tannic intensity. Astringency and mouthfeel reached higher values but not significant. Lower persistence and higher aroma intensity can also be observed. Low differences between treatments were found, which may be due not only to the different quantity of tannins added but also to their qualitative profile. Recent studies performed by other authors have confirmed the importance of the anthocyanin/tannin ratio on the wine oxidation process and especially on the acetaldehyde formation. Wines with higher tannin addition showed lower production of acetaldehyde [75].
Sensory profile of Tempranillo wines elaborated by different enological tannin additions to grape juices. SO2: Wine control. ST: Grape seed tannins (40 g/hL), SKT: Grape skin tannins (30 g/hL), GAL: Tara tannin (20 g/hL), OAK: oak tannins (30 g/hL). *Significant differences by HSD Tukey test (p < 0.05).
Other chemical substances, such as ascorbic acid and lysozyme, may also be able alternatives to SO2. Ascorbic acid has the ability to scavenge molecular oxygen before the oxidation of phenolic compounds occurs. It is a highly efficient antioxidant in combination with sulfur dioxide; nonetheless, a pro-oxidation effect may occur when the content of SO2 and ascorbic acid is low [76]. The reaction between ascorbic acid and oxygen results in dehydroascorbic acid and hydrogen peroxide, which would be removed by sulfites. Under certain conditions, ascorbic acid both accelerates oxygen removal and reduces the O2:SO2 molar reaction ratio [4]. In wines, it is generally employed in winemaking stages with high oxygen dissolution, such as grape crushing, after racking or just before bottling. The addition of ascorbic acid in white wines improves color and flavor retention during bottling aging [77]. Certain carbonyl compounds, such as furfural, acetaldehyde, glyoxal, and diacetyl, formed from the oxidation of ascorbic acid may involve the formation of brown pigments by reacting with phenolic compounds. Higher browning was observed in catechin model solutions containing ascorbic acid than in model solutions containing sulfite [78]. These oxidation products of ascorbic acid bind to SO2 reducing in some extent the ratio between free and total SO2 content [76]. The mixture of ascorbic acid together with SO2 seems to be a better antioxidant combination than the use of SO2 alone, avoiding the oxidation of wine and preserving the aroma profile. In white wines, ascorbic acid provides considerable protection against oxidation under conditions of low oxygen [79]. However, it should be highlighted that the impact of the addition of ascorbic acid to wine composition and sensory characters is far to be clarified [36, 77].
Lysozyme belongs to glycoside hydrolases, which is a type of enzyme that catalyzes the hydrolysis of bonds between N-acetyl muramic acid and N-acetyl-D-glucosamine residues in peptidoglycans, and it is found in the cell walls of bacteria, especially in Gram-positive bacteria. These enzymes are therefore destructive to many bacteria like lactic acid bacteria (LAB). In winemaking, indigenous LAB, such as Lactobacillus brevis, Oenococcus oeni, Lactobacillus kunkeei, Pediococcus parvulus and Pediococcus damnosus, can be completely inhibited by lysozyme, being this efficacy strongly affected by winemaking and dosage [80, 81]. The addition of lysozyme did not have any negative effect on yeast growth and sugar reduction and may prevent the increase of volatile acidity during the stuck/sluggish of the alcoholic fermentation [17, 81]. This substance had little or no effect on the content of alcohol, titratable acidity, and pH value and did not cause important changes on the sensory characteristics of wines. Nonetheless, it may produce esters in certain wines, contributing to their complexity [73, 82]. Lysozyme may involve changes on yeast nitrogen consumption and the amino nitrogen metabolism, although it does not appear to have an effect on the formation of biogenic amines [16]. The addition of lysozyme may produce a color loss associate with the formation of precipitates in red wines and may induce protein haze in white wines [82]. Lysozyme does not possess an antioxidant activity and therefore does not prevent the wine oxidation. Hence, it becomes necessary the addition of antioxidants, such as proanthocyanidins, in combination with lysozyme to replace the SO2 actions [16, 73]. A critical point of lysozyme is the safety of wines treated with this additive, since it is an egg allergen (allergen Gal d 4 according to the International Allergen Code) that remains in bottled wine. The OIV issued limitation of 500 mg/L [83], and this quantity is removed by an efficient fining treatment using, for example, bentonite or metatartaric acid [84].
The use of yeast strains with a low capacity to produce SO2, during the alcoholic fermentation is essential to reduce the final amount of SO2 in wines. Both commercial and indigenous yeasts strains can be used with this purpose. However, factors as grape juice composition, the management of the fermentation, and musts supplementation will be decisive. Different physical technologies and methodologies can be used to elaborate this type of wines. The replacement of the antioxidant and antimicrobial action of the SO2 is a complex mission. However, the combination of different physical techniques together with a good management of inert gases to control oxygen appears to be a suitable practice to achieve this purpose. In addition, some chemical treatments will help to complete the effects caused by these practices. In general, chemical treatments should be combined at different wine production stages to complete their respective actions. The combination of chemical additions even with SO2 may help to reduce its use during the winemaking. It should be noted that still today, there is a lack on the knowledge of the microbiological stability of SO2-free wines during the aging period. Therefore, more research is needed to better understand the effect of the low concentration of SO2 in wines as well as the use of new additives, especially regarding the wine stability after storage and the effects on the human health.
In summary, multidisciplinary approaches should be considered to elaborate high-quality SO2-free wines. The combination of microbiological strategies, physical methods, and chemical treatments becomes indispensable to achieve this ambitious purpose. Several yeast strains are able to generate low quantities of SO2 during alcoholic fermentations (<10 mg/L), and several physical and chemical treatments have shown their antioxidant and antimicrobial effect. Therefore, reducing the SO2 amount in wine production may be achieved. Nonetheless, more research should be done to adapt winemaking procedures according to the particular working conditions and the desired product of each winery.
Thanks are due to the Spanish MICINN for their financial support of VINNO_SO2 Project (Ref. IPT-2012-0967-060000). The authors also thank AGROVIN S.A. for supplying the yeast strains, Bodegas RODA S.A. (Haro, La Rioja, Spain) and Adegas Valmiñor S.L. (O Rosal, Pontevedra) for supplying the grape samples. We also thank Programa de Desenvolupament Rural de Catalunya 2014–2020 (N° expdte. 56 30032 2017 2A).
In China, flash floods are defined as floods which break out in mountain environments where villagers intensively inhabit, especially occurred in small watershed under 100 km2 [1, 2]. Flash floods usually rise up and down sharply, with high velocity and cause great losses [3]. As China is located in East Asian monsoon region, severe rainfall occurs frequently here. That often causes flash flood disasters, threatening villagers’ life and restricting economic development of mountain areas [4]. Over the past years, the increase of extreme rainfall in China is generally attributed to the global climate change [5]. The increase of heavy rain leads to the increase of flash floods. The casualties of flash flood disasters are continually mounting those years. Thus, flash flood disasters become one of the most life-threatening water disasters in China [6].
\nAs flash floods are distributed extensively and its influence sphere highly concentrated, it is unreasonable and uneconomical to prevent flash flood disasters mainly via engineering measures. To cope with this, the government of China draws up a guidance, prevention in the first place and integrating prevention with control, non-engineering measure as the main and combining it with engineering measures [7, 8]. Since then flash flood early warning draws wide attention of China scholars. Against this background, it is essential to get an overall review of China research about flash flood early warning in the past years. Drawing lessons from the past, which is the main objective of this chapter, would provide effective references for engineering practice and outline the future prospects.
\nIn the first place, temporal forecasting, spatial forecasting and developing of early warning system are considered as the three portions of the research system of flash flood early warning [9]. But in fact, early warning should give forecasting information as much as possible, better including both spot and time. So it is unreasonable to separate temporal forecasting with spatial forecasting. They should work together to tell people where and when disaster outbreak in advance. After synthetical consideration, we divide flash flood early warning research into two categories: long-term warning and real-time warning.
\nBased on the statistical regularity and disaster-causing mechanism, flash flood long-term warning is intended to forecast the occurrence possibility of flash floods in one mountain village or a zone in a relatively long period of time. This aspect of research can give decision maker an overall perspective of flash flood disasters to assist them with making out flash flood prevention and control plan. Also, this risk assessment can improve the government’s ability of flash flood risk management and advertise to the public. The research framework of flash flood long-term warning is shown in Figure 1. In this framework, Chinese scholars mainly forecast flash floods based on statistical regularity rather than disaster-causing mechanism.
\nThe research framework of flash flood long-term warning.
Different from the long-term warning, the flash flood real-time warning tries to tell us whether one mountain village will be in danger of flash flood in advent days, even in advent hours. Based on the long-term warning achievement and the flash flood disasters prevention and control situation, real-time warning indicators would be calculated by integrating multi-sources data to provide scientific basis for drawing up contingency plan and improving mass prediction and disaster prevention and so on.
\nAlthough the entire research framework of flash flood real-term warning is shown in Figure 2, but some sectors, such as indicator system and simulation of disaster, draw little attention of scholars. Besides this, increasing researchers turn their attention to multi-sources data acquiring and applying in calculation of flash flood real-time warning indicators to struggle with data deficient. Furthermore, some experts in software engineering start taking part in the construction of flash flood early warning system platforms, including data management system, information transmission system and application visualization system.
\nThe research framework of flash flood real-time warning.
In this section, an assumption is believed to be correct that the probability of flash flood disasters is a constant. Then, the recurrence cycle of historical disasters could be used for predicting the occurrence trend of future disasters [10]. Specifically, scholars collect historical disaster information of the target area to get one value via subtract one from the times of disasters and then divide the recording interval of disasters by this value. Then, the result reflects the activity degree of disaster and can be used for speculating the long-term probability of disaster. Using this method, the key is getting reliable, precise and adequate data of historical disasters [9].
\nThis method used to analyse the risk of debris flow initially. For example, according to recurrence cycle of debris flow disaster, the developed phase of debris flow is divided into developing stage, active stage and decline stage [11]. As debris flows tend to occur along with flash flood, this probability analysis method was subsequently introduced into flash flood prediction. Applied to the flash flood research in Beijing, its mountain areas are divided into several zones of different level of debris flow and flash flood risk [12]. Afterwards, by this probability analysis method, plenty of works has been done in China to divide mountainous areas into several zones of risk for debris flows and flash flood.
\nRisk analysis based on disaster-causing mechanism focuses on spatial forecast without exact time prediction. In this long-term warning method, identification of flash floods and debris flow gully, risk assessment and risk zoning are main contents for estimating the location and danger level of flash floods and debris flow. Different in spatial scale of analysis, there are three types of conventional methods [13]. The first, researchers determine whether a gully is in danger of flash flood or not, then assess its potential degree of danger by a comprehensive index. The second, the scope broadens into a larger area, and the risk zones are delineated according to the distribution and risk assessment of flash floods. The third, the scope of attention focuses on the detail in one gully, and the hazardous part can be separated from safe spaces by using an appropriate model which is selected by the type of the gully. Many scholars work in studying of flash floods and debris flow risk zoning in China since 1985 with significant achievement, such as 1991 version of China debris flow disaster distribution and risk zoning map, discussion about debris flow disaster zoning in China, research on debris flow disaster zoning in the upper Yangtze river, etc. [14, 15, 16, 17, 18].
\nAlong with rapid development of geographic information system (GIS) and remote sensing (RS) technologies, a new class of flash flood long-term warning methods based on GIS and RS have been tried by some scholars [19]. And by using GIS and RS data, flash flood disaster long-term warning prediction, or called risk assessment at that time, was calculated basing on conceptual formula (Eq. (1)). In this equation, the implication of long-term warning prediction covers the losses caused by disasters, the outburst probability of disasters and other consequence. The hazard comes from disaster danger zoning and represents the natural property of disasters. The vulnerability represents the social property influenced by disasters and is a financial analysis for measuring the disasters’ destruction to human beings. Based on the positive correlation with the hazard and the vulnerability, the disaster risk can be calculated through mathematical operation of the hazard and the vulnerability.
\nZhao assessed the risk of flash flood disasters on the upper reach area of Minjiang river by strength and frequency analysis [20]. Furthermore, Tang and Shi put forward an integrated technical route and method system, which covers data collection by GIS, spatial database construction, chosen of evaluation index system, forecast, risk assessment and zoning [21]. According to this technical route and method system, Guan and Chen drew up flash flood disasters risk assessment map of Jiangxi province, which based on geographical map and analysis of climate, rainfall, topography, gradient and river network and then overlaid this map with vulnerability assessment map for flash flood disaster risk zoning [22]. During analysing flash flood vulnerability in Wenshan city, range and depth of flash flood are considered as important indicators to improve accuracy of assessment [23, 24]. Lin et al. established a flash flood hazard zoning index system based on the micro-landforms, topography and slope position, flow accumulation and vegetation coverage and applied it to flash flood risk zoning in Tiaoshi town [25]. Latterly, by introducing land utilization as a new indicator into flash flood risk assessment, a more reasonable and reliable result of flash flood risk zoning in Jiangxi province is obtained [26].
\nUp to now, there still do not have a comprehensive indicator system that could take broader factors into account, such as wind direction and speed, velocity and quantity of flow, water level, rainfall intensity and quantity, etc. Instead, most scholars have been attracted to rainfall indicator, while a few other scholars focused on water-level warning indicator. The methods of calculating early warning rainfall can be divided into two classes: data driven and mechanism driven, as shown in Figure 3.
\nThe methods of calculating early warning rainfall.
The data-driven method is the most primary way to calculate early warning rainfall amounts in practice. On the premise that flash floods must have certain correlation with rainfall amount, this sort of method calculates early warning precipitation by analysing historical disaster data without considering disaster mechanism. Chen and Yuan found an overall review of those methods and classified them into case survey method, single station critical rainfall, regional critical rainfall, frequency analysis of rain and disaster, correlation analysis, analogy method and interpolation method [27].
\nThe case survey method is to get critical rainfall amounts via statistic of rainfall amounts in the historical disasters. To be specific by taking the minimum rainfall amounts of each time interval as the initial value of early warning rainfall and comparing it with the value of adjacent areas to determine the final rainfall amounts for flash flood early warning. If sufficient historical data are available from existing hydrological observation network or meteorological observation network, then critical rainfall for each station and region would be calculated (Eq. (2)).
\nIn Eq. (2), t is the time period; i is the order number of precipitation station; j is the order number of historical flash flood disaster; Rti refers to the critical rainfall amount and Rtij is the maximal precipitation amount of station ’i‘ during time period ’t‘ in flash flood disaster ’j’.
\nIf the number of precipitation station in analysis is 1, the Rti means the single station critical rainfall. When the number of precipitation station increased, the regional critical rainfall can be analysed. With sufficient historical disaster data, Wang et al. calculated the single station critical rainfall and the regional critical rainfall for flash flood early warning in Chengde city [28].
\nBased on the assumption that rainfall and flash flood disasters have the same frequency, Bin and Dou calculated the frequency of flash flood disasters in Urumqi city and then inferred the early warning rainfall amounts in the same frequency [29].
\nDuan analysed the flash flood rainfall values of typical small watershed in the Yellow river by multiple methods, such as single station critical rainfall method, regional critical rainfall method, frequency analysis of rain and disaster method, etc., and the difference of computed results is contrasted and analysed [30].
\nWang et al. proposed a compositive computational method about mountain mud rock flow critical rainfall, which successively corrects the intermediate result assisted by single station critical rainfall and frequency analysis of rain and disaster and applied this method to make the rainfall zoning of Hubei province [31]. Follow this, Zhao et al. calculated early warning rainfall in Linqu county by the determination method which combines the single station critical rainfall method and P-III frequency analysis method [32]. Yan et al. utilized 24 h precipitation and former 10 days rainfall as a factor for predicting, and combined differentiating and analytic approach to predict flash flood real-time warning in Jiangxi province [33].
\nWith considerable correlation between precipitation and basin parameters, Fan et al. built a statistical model concerned critical precipitation, basin areas, main river length and main river slope (Eq. (3)) and by using this model, the early warning rainfall amounts for 1045 small basins in Jiangxi province has been calculated [34]. What’s more, by analysing 1101 cases of mountain torrent and geological hazard data in Yunnan province, Hu et al. calculated the critical rainfall on which five grades for early warning of mountain torrent and geological hazard are based [35].
\nIn Eq. (3), a, b, c and d are constants calibrated by using pre-existing critical rainfall values; F is the drainage area; J is the gradient of main stream; L is the length of main stream and R is the critical rainfall to be calculated.
\nLiu et al. and Ye et al. proposed a flash flood early warning method based on dynamic critical precipitation, which closely correlated with soil moisture saturation [36, 37]. This approach was applied in Suichuanjiang river basin and Pihe river basin for flash flood forecasting and early warning.
\nBesides these methods, there are two special methods, analogy method and interpolation method, which could be used to infer objective critical rainfall from nearby ones calculated by other methods [38]. Based on pre-existing early warning rainfall values of flash flood disasters in Yunnan province, Zhang et al. carried out the research to the variety regulation of the critical rainfall by the application of the Kriging of special gridding method, the inverse distance to a power method, the radial basis function method and then drew up each isoline maps [39].
\nThe kernel of the mechanism-driven methods is searching critical rainfall responding to the water level at which flash flood disasters will be caused. A technical route of these methods is ’based on the correlation between water level and discharge, and the correlation between rainfall and discharge, calculating disaster-causing discharge according to disaster-causing water level, then calculating disaster-causing rainfall according to disaster-causing discharge’. Follow this path, Ye et al. came up with the anti-water method for calculating critical rainfall in Zhejiang province [40].
\nFurthermore, these mechanism-driven methods can be classified into empirical method and numerical model method. But for the lacking of data, even these methods are driven by the disaster mechanism, the major solution for measuring the correlation between water level and discharge is still rely on experiences in practice.
\nThe empirical method also called the black box method, which could be subdivided into frequency analysis of rain and flood, empirical formula method and rational formula method. Based on the assumption that rainfall and flash flood disasters have the same frequency, Liu et al. and Zhang et al. calculated the critical frequency corresponding to the critical flow rate, analysed the cumulative distribution interval points of probability and determined the method for calculating the critical rainfall in the data-deficient region [41, 42]. Empirical formula and rational formula are similar in calculating design rain and floods with different principle. Based on the correlation analysis, empirical formula is concluded from practical experience and embodies the regional characteristics. This kind of method concludes china institute of water resources and hydropower research (IWHR) hydrology empirical formula, research institute of highway ministry of transport (RIOH) empirical formula, regional unit hydrographs and empirical unit hydrographs summarized by each hydrographic office of provinces or cities. By simplifying and generalizing the processes of runoff formation, the rational formula is derived for calculating the discharge of specific river cross-section (Eq. (4)). The research of flash flood early warning precipitation in Jiangxi province showed that the rational formula method usually has more stable results with smaller error than data-driven methods [43]. In order to raise the accuracy of early warning precipitation, a method for calculating the geographic distribution rules of flow concentration parameters and the spatial distributing rules of rainstorm parameters is put forward [44].
\nEq. (4) is the fundamental form of rational formula, Q is the design flood, a is a constant reflecting the losses of flood peak, S is the maximum of hourly rainfall, t is the basin flow concentration time, n is decline exponent of rainstorm and F is the drainage area.
\nSince the data of flash flood disasters are continuously increasing, more and more scholars start taking part in researching numerical model for calculating flash flood real-time warning indicators. These numerical models are usually built that rely on water balance, principles of hydrology or hydrodynamics. Based on the water balance equation, Jiang and Shao put forward a concept and proposed a calculation method of minimum critical rainfall with awareness that criteria warning standard should take both rainfall amount and intensity into account [45]. For warning in ungauged basins, Ye et al. proposed an approach that using an antecedent precipitation index method and a Nash model for runoff forecasting [46]. Furthermore, considering the soil moisture and observed antecedent rainfall, Chen et al. established the calculation functions for dynamic critical precipitation under different soil moisture content levels by using the fitted function relation between antecedent rainfall and critical rainfall by the least square method [47]. Guo et al. designed a flash flood warning system based on a distributed hydrological model and evaluated its practical application in Henan province [48]. Li et al. introduced the basic concepts and methods of using a distribution hydrological model technique with detailed sub-basin delineation to analyse indicators for flash flood early warning [49]. Based on the full hydrodynamic model, Wang et al. proposed a new approach to calculate the distributed threshold rainfall for flash flooding, which constitutes the basis for effective flash flood warning [50]. Wen and Zhang et al. used a 2-D dynamic flood evolution model ’FloodArea‘ to simulate flash flood inundation caused by different rainfall amount for refined flash flood early warning in mountain area with small watershed and no hydrological data [51, 52, 53].
\nThe main restriction to flash flood real-time early warning is the lack of real-time rainfall data, discharge data and water level data. The direct and efficient approach to solve this problem is to increase monitoring network for weather, rainfall and river situation. For guiding hydro-meteorological monitoring network layout in mountain flood prevention areas, Chen et al. and Yuan et al. put forward a technical principle and index for the layout of hydro-meteorological stations according to the needs of mountain flood prevention in China [54, 55]. In addition, Shu and Han also analysed the density of rainfall monitoring network in Suichuanjiang river basin by using the method of extracting stations and watershed model method [56].
\nAlong with the construction of traditional hydro-meteorological monitoring network, scholars also explored the application of remote sensing technology in obtaining data and tried to extend forecast period via introducing advanced weather forecast technology. According to the needs of flash flood disaster survey and valuation, Liu et al. used the data of laser point cloud to automatically measure the elevation of households along the river and vertical and horizontal sections of river channel and proved that could save time and cost with more abundant data [57]. Liao tried to use the data from radar with high time-space resolution and the data from automatic rainfall station to monitor the real-time strong rainfall, which is significant for the early warning of flash flood disaster [58]. Furthermore, Liu et al. showed that how forecaster use the monitoring data of TWR01A weather radar to warn about flash flood disaster [59]. But it is still difficult to forecast flash flood just rely on real-time monitoring data. Facing this, Li et al. tried to use the ensemble forecast approach, which constructed by various physical processes of a mesoscale model, to extend forecast period for flash flood early warning [60]. Qiu and Zi and Zi et al. also studied the application of quantified precipitation forecast technology in mountain areas and proved its applicability in flash flood early warning [61, 62]. Furthermore, Chen and Li simulated the historic flash flood occurred in Yangtze river basin on the basis of the weather research and forecasting (WRF) model to explore the optimal combination of physical schemes for the flash flood early warning [63].
\nInformatization is quite necessary for shortening the delay time of each step for flash flood real-time warning. Flash flood early warning information construction, covering data acquisition, transmission, early warning analysis, disaster simulation and warning broadcasting could greatly enhance the capability of flash flood real-time warning. Considering particularity of environment in mountain areas, Meng designed a data acquisition unit with low power consumption, stable performance and high precision [64]. Zhong developed a river water level remote monitoring and early warning instruments by using the water level data collection which is based on static pressure sensor of input style and the general packet radio service (GPRS) and short messaging service (SMS) technology [65]. With the aid of code division multiple access (CDMA)/GPRS communication product, Fei and Huang designed an intelligence transmission system, which could provide unimpededly, fast, reliable and stable communication channel for transmission of flash flood real-time warning signals [66]. Zhang et al. and Hao et al. designed a flash flood geological disaster early warning system based on the Internet of Things (ToH) which combine the information sensor subsystem with data acquisition subsystem [67, 68]. Based on the distributed hydrological model and dynamic critical precipitation method, Hu and Liu developed a prototype medium and small river flash floods forecasting and warning systems and did a case study in Suichuan river basin [69]. To improve operational capacity of county flood control department in monitoring and early warning of flash floods, Zhang put forward an event-driven county-level flash flood monitoring and early warning system and applied it in Luanchuan country [70]. Moreover, Zhang designed a flash flood early warning information system based on the technology of GIS, spatial database and computer networking [71]. Jin and Wang summarized the implementation methods of the WebGIS and rich Internet application (RIA) technology solutions and developed the country-level flash flood early warning system separately by Silverlight technology or Flex technology [72, 73]. Furthermore, Li, Xiu, Lu and Lin designed their own flash flood disaster early warning system separately in Shandong province, Xinjiang province, Dinghu city or Yueyang city [74, 75, 76, 77].
\nChinese scholars have done a lot of studies about flash flood early warning, containing long-term warning and real-time warning. Overall, the research of flash flood early warning in China is still in a preliminary stage and there are still numerous issues need to be solved:
\nAfter long time practices, the research about flash flood disaster has been developed from qualitative analysis to quantitative estimation. But the restrictive relation and influence relation between flash flood disasters causing factors, pregnant environments and bearing body are still need to be quantitatively analysed into depth.
The flash flood long-term warning and real-time warning are quite separated with each other in the present research. It has practical implication to consider the long-term warning achievement in real-time warning analysis in the future study.
The flash flood early warning indicator system need to be completed as soon as possible. And the type and the form of indicators need to be expanded for more comprehensive consideration. For example, trying to take flow change rate, water level change rate, flow velocity, flow velocity change rate, etc. into an early warning indicator system.
More types of multi-sources data could be utilized in flash flood early warning and more data usages should be explored. Such as obtaining soil water content via remote sensing retrieval for improving flash flood mechanism-driven model results. Or doing ensemble early warning of flash flood according to the ensemble weather forecast data, etc.
The authors are grateful to the National Key Research and Development Project of China (no. 2016YFC0401903) for financial support for this research.
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