Kiana Modaresahmadi, Amid Khodadoust, James Wescott
Abstract An aluminum–magnesium–calcium-coated sand (AMCCS) sorbent was evaluated as a low-cost ternary metal oxide adsorbent for adsorption and removal of fluoride from water with potential application in flow-through water filtration systems. The AMCCS sorbent coating contained mostly amorphous oxides of aluminum, magnesium, and calcium. The adsorption of fluoride occurred in less than an hour, while fluoride adsorption followed pseudo-second-order kinetics. The favorable adsorption of fluoride onto the AMCCS sorbent occurred according to the Langmuir and Freundlich adsorption equations, whereas the physical adsorption of fluoride onto the AMCCS sorbent occurred based on the Dubinin–Radushkevich adsorption equation. The adsorption of fluoride occurred over a broad pH range from 2 to 10.5 with a decrease in adsorption at pH above 10.5, indicative of the adsorption of fluoride onto the positively charged surface of AMCCS sorbent at pH below the AMCCS sorbent pHPZC of 10.4. The AMCCS sorbent was able to remove fluoride from natural waters with appreciable alkalinity, total hardness and total dissolved solids, indicative of AMCCS sorbent selectivity for fluoride adsorption. The AMCCS sorbent was re-coated and reused after several adsorption cycles, rendering the AMCCS sorbent a recyclable and sustainable adsorbent for effective and rapid removal of fluoride from water.
{"title":"Adsorption of fluoride from water using Al–Mg–Ca ternary metal oxide-coated sand","authors":"Kiana Modaresahmadi, Amid Khodadoust, James Wescott","doi":"10.2166/ws.2023.269","DOIUrl":"https://doi.org/10.2166/ws.2023.269","url":null,"abstract":"Abstract An aluminum–magnesium–calcium-coated sand (AMCCS) sorbent was evaluated as a low-cost ternary metal oxide adsorbent for adsorption and removal of fluoride from water with potential application in flow-through water filtration systems. The AMCCS sorbent coating contained mostly amorphous oxides of aluminum, magnesium, and calcium. The adsorption of fluoride occurred in less than an hour, while fluoride adsorption followed pseudo-second-order kinetics. The favorable adsorption of fluoride onto the AMCCS sorbent occurred according to the Langmuir and Freundlich adsorption equations, whereas the physical adsorption of fluoride onto the AMCCS sorbent occurred based on the Dubinin–Radushkevich adsorption equation. The adsorption of fluoride occurred over a broad pH range from 2 to 10.5 with a decrease in adsorption at pH above 10.5, indicative of the adsorption of fluoride onto the positively charged surface of AMCCS sorbent at pH below the AMCCS sorbent pHPZC of 10.4. The AMCCS sorbent was able to remove fluoride from natural waters with appreciable alkalinity, total hardness and total dissolved solids, indicative of AMCCS sorbent selectivity for fluoride adsorption. The AMCCS sorbent was re-coated and reused after several adsorption cycles, rendering the AMCCS sorbent a recyclable and sustainable adsorbent for effective and rapid removal of fluoride from water.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135805651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Many operators of water distribution networks (WDNs) are unable to meet the increasing demand for water. Utility operators in such situations resort to rationing the supply as a partial solution to this problem; this, in turn, may lead to disproportionate allocation of water or inequity in supply. In this study, we propose a mixed integer non-linear program formulation and an efficient solution approach to minimize the inequity in supply, subject to hydraulic constraints and additional constraints on hours of supply and valve operation. Further, we show that the schedule can be obtained using a data-driven approach based on flow and level measurements, which eliminates the modelling effort and uncertainty associated with the use of hydraulic models. We demonstrate the proposed approaches through simulations of a real WDN, and experiments conducted on a topologically similar laboratory-scale network.
{"title":"Equitable supply in intermittently operated rural water networks in emerging economies","authors":"Varghese Kurian, Prasanna Mohandoss, Srinesh Chandrakesa, Saravanan Chinnusamy, Shankar Narasimhan, Sridharakumar Narasimhan","doi":"10.2166/ws.2023.268","DOIUrl":"https://doi.org/10.2166/ws.2023.268","url":null,"abstract":"Abstract Many operators of water distribution networks (WDNs) are unable to meet the increasing demand for water. Utility operators in such situations resort to rationing the supply as a partial solution to this problem; this, in turn, may lead to disproportionate allocation of water or inequity in supply. In this study, we propose a mixed integer non-linear program formulation and an efficient solution approach to minimize the inequity in supply, subject to hydraulic constraints and additional constraints on hours of supply and valve operation. Further, we show that the schedule can be obtained using a data-driven approach based on flow and level measurements, which eliminates the modelling effort and uncertainty associated with the use of hydraulic models. We demonstrate the proposed approaches through simulations of a real WDN, and experiments conducted on a topologically similar laboratory-scale network.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Forest resources are an important foundation for human survival and development, and their utilization and management are of great significance for sustainable development. Forests are important ecosystems that provide essential ecological services for human survival and development. Based on the Gaussian model, this article evaluates the grain and water resources in forest areas to explore the efficiency of forest resource utilization. By collecting and processing sample data from the forest areas of the Yangtze River Basin from October to December 2021, the food and water resources of the forest areas under different vegetation types and soil moisture content were obtained. The results indicate that the total amount of grain resources varies among different sample areas. The maximum weight is 6,000 kg and the minimum weight is 3,500 kg. The total amount of water resources varies among different sample areas, ranging from 600 to 2,000 m3.
{"title":"Assessment of forest food–water resources nexus and its utilization efficiency based on the Gaussian model","authors":"Weiguang Xie, Huaquan Ma","doi":"10.2166/ws.2023.267","DOIUrl":"https://doi.org/10.2166/ws.2023.267","url":null,"abstract":"Abstract Forest resources are an important foundation for human survival and development, and their utilization and management are of great significance for sustainable development. Forests are important ecosystems that provide essential ecological services for human survival and development. Based on the Gaussian model, this article evaluates the grain and water resources in forest areas to explore the efficiency of forest resource utilization. By collecting and processing sample data from the forest areas of the Yangtze River Basin from October to December 2021, the food and water resources of the forest areas under different vegetation types and soil moisture content were obtained. The results indicate that the total amount of grain resources varies among different sample areas. The maximum weight is 6,000 kg and the minimum weight is 3,500 kg. The total amount of water resources varies among different sample areas, ranging from 600 to 2,000 m3.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hunter Adams, Susheera Pochiraju, Keisuke Ikehata, Mark Southard, Sam Reeder, Emily Appleton, Daniel Nix
Abstract The City of Wichita Falls’ Cypress Environmental Laboratory developed a comprehensive taste and odor (T&O) monitoring program to identify T&O compounds, their point of origin, and how to mitigate each T&O event to lessen its impact and maintain consumer confidence. In January 2023, a T&O compound was detected in the water system using sensory analysis with a threshold odor number (TON) of 3, guiding further analytical testing to identify for musty compounds. The unknown was confirmed to be 2,4,6-tribromoanisole (2,4,6-TBA) at a maximum of 9.86 ng/L. Its point of origin for production was tracked to a raw water line using chlorine dioxide as a primary disinfectant. Jar tests were performed to confirm that the mode of production was excess-free chlorine from the generation of chlorine dioxide in the presence of bromide in raw water. The event was mitigated using powdered activated carbon in clarifiers to adsorb and settle out the compound, resulting in a non-detectable level (a TON of 1 and <5.00 ng/L for 2,4,6-TBA). This paper discusses the unique generation pathway within a full-scale treatment plant and how a monitoring and response program can be used to help detect a T&O event at an early stage and aid the mitigation process.
{"title":"New production pathway of musty 2,4,6-tribromoanisole during raw water disinfection processes at a surface water treatment plant","authors":"Hunter Adams, Susheera Pochiraju, Keisuke Ikehata, Mark Southard, Sam Reeder, Emily Appleton, Daniel Nix","doi":"10.2166/ws.2023.264","DOIUrl":"https://doi.org/10.2166/ws.2023.264","url":null,"abstract":"Abstract The City of Wichita Falls’ Cypress Environmental Laboratory developed a comprehensive taste and odor (T&O) monitoring program to identify T&O compounds, their point of origin, and how to mitigate each T&O event to lessen its impact and maintain consumer confidence. In January 2023, a T&O compound was detected in the water system using sensory analysis with a threshold odor number (TON) of 3, guiding further analytical testing to identify for musty compounds. The unknown was confirmed to be 2,4,6-tribromoanisole (2,4,6-TBA) at a maximum of 9.86 ng/L. Its point of origin for production was tracked to a raw water line using chlorine dioxide as a primary disinfectant. Jar tests were performed to confirm that the mode of production was excess-free chlorine from the generation of chlorine dioxide in the presence of bromide in raw water. The event was mitigated using powdered activated carbon in clarifiers to adsorb and settle out the compound, resulting in a non-detectable level (a TON of 1 and &lt;5.00 ng/L for 2,4,6-TBA). This paper discusses the unique generation pathway within a full-scale treatment plant and how a monitoring and response program can be used to help detect a T&O event at an early stage and aid the mitigation process.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Recent investigations have noted that using a hybrid arrangement of Soil and Water Assessment Tool (SWAT) and multi-layer perceptron (MLP) has high efficiency in runoff prediction. In this research, in addition to using the SWAT and MLP models, an optimized algorithm called Mutated SunFlower Optimization (MSFO) algorithm has been proposed to predict better runoff, which improves the results of prediction runoff by decreasing the error percentage in the MLP model. For this purpose, first, runoff modeling is used to assess the efficiency of the SWAT system. The model's verification and calibration have been performed using data from the previous 30 years of statistics. Then, the flow stream simulated by the SWAT method is evaluated with the observational data and applied as the inputs to the MLP model, and finally, runoff is predicted through the MLP model, and MSFO is used in the MLP model to obtain better results for runoff prediction. The results show that the values of statistical indices R2, RMSE, NSE, and RE give satisfying agreement for runoff forecast in the SWAT–MLP/MSFO model with values of 0.83, 1.68, 0.51, and −0.1.
{"title":"Projection of monthly surface flows by an optimized SWAT–MLP: a case study","authors":"Gao Furong, Sarmistha Hossain","doi":"10.2166/ws.2023.265","DOIUrl":"https://doi.org/10.2166/ws.2023.265","url":null,"abstract":"Abstract Recent investigations have noted that using a hybrid arrangement of Soil and Water Assessment Tool (SWAT) and multi-layer perceptron (MLP) has high efficiency in runoff prediction. In this research, in addition to using the SWAT and MLP models, an optimized algorithm called Mutated SunFlower Optimization (MSFO) algorithm has been proposed to predict better runoff, which improves the results of prediction runoff by decreasing the error percentage in the MLP model. For this purpose, first, runoff modeling is used to assess the efficiency of the SWAT system. The model's verification and calibration have been performed using data from the previous 30 years of statistics. Then, the flow stream simulated by the SWAT method is evaluated with the observational data and applied as the inputs to the MLP model, and finally, runoff is predicted through the MLP model, and MSFO is used in the MLP model to obtain better results for runoff prediction. The results show that the values of statistical indices R2, RMSE, NSE, and RE give satisfying agreement for runoff forecast in the SWAT–MLP/MSFO model with values of 0.83, 1.68, 0.51, and −0.1.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135856489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Promoting the supply of energy from biomass to reduce the emission of greenhouse gases has resulted in focusing on the production of important products from the perspective of energy and ultimately, increasing water consumption. Therefore, in the present study, an index called water footprint was used to investigate the link between water and bioenergy. For this purpose, information related to grain maize crops was collected in the study plains of Fujian province in eastern China. Based on the calculations, it was found that the water footprint of maize products in the province was equal to 3,728 m3/ton on average, and the water footprint of its biomass was estimated to be 219.6 m3/ton. Moreover, the investigation of the water footprint of maize biomass energy showed that the highest and lowest water footprints per unit of energy are found in Ningde and Zhangzhou, respectively. It was also found that the plains of Zhangzhou, Ningde and Xiamen have little priority for biomass production because the water footprint of their biomass energy is less than 900 MJ/m3. On the other hand, Nanping and Putian plains with bioenergy water footprints between 1,500 and 1,800 MJ/m3 have high priority for using maize biomass for energy production.
{"title":"Water footprint approach in measuring the potential of bioenergy production from agricultural products","authors":"Fangfang Zeng","doi":"10.2166/ws.2023.263","DOIUrl":"https://doi.org/10.2166/ws.2023.263","url":null,"abstract":"Abstract Promoting the supply of energy from biomass to reduce the emission of greenhouse gases has resulted in focusing on the production of important products from the perspective of energy and ultimately, increasing water consumption. Therefore, in the present study, an index called water footprint was used to investigate the link between water and bioenergy. For this purpose, information related to grain maize crops was collected in the study plains of Fujian province in eastern China. Based on the calculations, it was found that the water footprint of maize products in the province was equal to 3,728 m3/ton on average, and the water footprint of its biomass was estimated to be 219.6 m3/ton. Moreover, the investigation of the water footprint of maize biomass energy showed that the highest and lowest water footprints per unit of energy are found in Ningde and Zhangzhou, respectively. It was also found that the plains of Zhangzhou, Ningde and Xiamen have little priority for biomass production because the water footprint of their biomass energy is less than 900 MJ/m3. On the other hand, Nanping and Putian plains with bioenergy water footprints between 1,500 and 1,800 MJ/m3 have high priority for using maize biomass for energy production.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135968168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Groundwater with high concentrations of iron and manganese is harmful to the human body and modern industries. Conventional methods of treating iron and manganese have the disadvantage of high costs and complex control processes. A dielectric barrier discharge (DBD) water treatment system was built to remove iron and manganese from groundwater in this paper. Single-factor experiments were used to analyze the effect of discharge power, initial iron and manganese concentrations, gas flow rate, liquid flow rate, initial pH, flocculant and capture agent process parameters on iron and manganese removal rates. It was found that Fe2+ removal rates can reach 97.31% and Mn2+ removal rates can reach 81.42% when the initial concentrations of Fe2+ and Mn2+ are 6 and 3 mg/L, respectively. The use of 10 mg/L NaHCO3 or 5 mg/L Ca(OH)2 increased the removal rate of Fe2+ to 99% but had no effect on the removal rate of Mn2+. It was found that the optimum treatment time for Mn2+ was different for different process parameters, mainly in the range of 9–15 min, which needs to be noted in future production applications. This work shows that DBD can effectively remove iron and manganese ions from groundwater and analyzes the removal mechanism.
{"title":"Experimental study on the performance of the dielectric barrier discharge technique in the treatment of simulated groundwater with high iron and manganese content","authors":"Yixin Jin, Xuezhi Li, Lida Ma, Wenjie Tian, Linlin Zhang, Aonan Liu","doi":"10.2166/ws.2023.270","DOIUrl":"https://doi.org/10.2166/ws.2023.270","url":null,"abstract":"Abstract Groundwater with high concentrations of iron and manganese is harmful to the human body and modern industries. Conventional methods of treating iron and manganese have the disadvantage of high costs and complex control processes. A dielectric barrier discharge (DBD) water treatment system was built to remove iron and manganese from groundwater in this paper. Single-factor experiments were used to analyze the effect of discharge power, initial iron and manganese concentrations, gas flow rate, liquid flow rate, initial pH, flocculant and capture agent process parameters on iron and manganese removal rates. It was found that Fe2+ removal rates can reach 97.31% and Mn2+ removal rates can reach 81.42% when the initial concentrations of Fe2+ and Mn2+ are 6 and 3 mg/L, respectively. The use of 10 mg/L NaHCO3 or 5 mg/L Ca(OH)2 increased the removal rate of Fe2+ to 99% but had no effect on the removal rate of Mn2+. It was found that the optimum treatment time for Mn2+ was different for different process parameters, mainly in the range of 9–15 min, which needs to be noted in future production applications. This work shows that DBD can effectively remove iron and manganese ions from groundwater and analyzes the removal mechanism.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maozheng Fu, Zhenrong Luo, Liying Feng, Xiaoping Que
Abstract Water supply from a common pool resource based on productivity indicators for different uses is one of the goals of planning in dry areas. Productivity indicators are defined based on time, geographical location and hydrological conditions in the form of food security, economic benefits and ecosystem restoration. This study was conducted in order to evaluate the contrast between economic criteria and food security in the exploitation of water resources in Lu'an city in Anhui province of China. Probabilistic modeling based on the prediction of uncertain values using the Latin hypercube technique was used for hydrological variables and water resources. The method of data mining and trend analysis of dependent variables was also simulated to estimate economic values in the water cycle. Statistical information of 32 years from 1991 to 2022 has been collected and used as an annual average per population. The results showed that the economic value of water consumption in the tourism industry has increased compared to agriculture. The total water provided for food security is equal to 6.5 m3 per person, the excess of which can be allocated to other uses through weighting indicators based on ecosystem and quality.
{"title":"Water productivity maximization and ecosystem monitoring to estimate tourism economic value","authors":"Maozheng Fu, Zhenrong Luo, Liying Feng, Xiaoping Que","doi":"10.2166/ws.2023.262","DOIUrl":"https://doi.org/10.2166/ws.2023.262","url":null,"abstract":"Abstract Water supply from a common pool resource based on productivity indicators for different uses is one of the goals of planning in dry areas. Productivity indicators are defined based on time, geographical location and hydrological conditions in the form of food security, economic benefits and ecosystem restoration. This study was conducted in order to evaluate the contrast between economic criteria and food security in the exploitation of water resources in Lu'an city in Anhui province of China. Probabilistic modeling based on the prediction of uncertain values using the Latin hypercube technique was used for hydrological variables and water resources. The method of data mining and trend analysis of dependent variables was also simulated to estimate economic values in the water cycle. Statistical information of 32 years from 1991 to 2022 has been collected and used as an annual average per population. The results showed that the economic value of water consumption in the tourism industry has increased compared to agriculture. The total water provided for food security is equal to 6.5 m3 per person, the excess of which can be allocated to other uses through weighting indicators based on ecosystem and quality.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135094330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Dry and humid climates have different potentials for providing soil moisture. Agricultural drought is a confirmed criterion for evaluating production potential in agriculture, which is discussed in this research. Therefore, this research aims to investigate drought using meteorological and agricultural drought indicator data in four climatic regions of China (humid, semi-humid, semi-arid and dry). For this purpose, climatic information was collected in the last 20 years, and the values of the standard precipitation index (SPI) and reconnaissance drought index (RDI) were determined. Examining the indicators indicates that the indicators are high in all the years under review in dry areas. In the semi-arid region, there was a significant decrease in the average value of the indices in July and August in the years 2017–2022. Drought indicators did not show a critical situation in humid and semi-humid areas, and there was sufficient moisture for plants throughout the year. The results showed that there was a high correlation between the SPI and the RDI in all the identified areas. In addition to rainfall, the RDI also includes transpiration and is more sensitive, especially in dry areas where transpiration is higher than rainfall.
{"title":"Evaluation energy flow and analysis of energy economy for agricultural yield production in different geographical regions of China","authors":"Kai Li","doi":"10.2166/ws.2023.261","DOIUrl":"https://doi.org/10.2166/ws.2023.261","url":null,"abstract":"Abstract Dry and humid climates have different potentials for providing soil moisture. Agricultural drought is a confirmed criterion for evaluating production potential in agriculture, which is discussed in this research. Therefore, this research aims to investigate drought using meteorological and agricultural drought indicator data in four climatic regions of China (humid, semi-humid, semi-arid and dry). For this purpose, climatic information was collected in the last 20 years, and the values of the standard precipitation index (SPI) and reconnaissance drought index (RDI) were determined. Examining the indicators indicates that the indicators are high in all the years under review in dry areas. In the semi-arid region, there was a significant decrease in the average value of the indices in July and August in the years 2017–2022. Drought indicators did not show a critical situation in humid and semi-humid areas, and there was sufficient moisture for plants throughout the year. The results showed that there was a high correlation between the SPI and the RDI in all the identified areas. In addition to rainfall, the RDI also includes transpiration and is more sensitive, especially in dry areas where transpiration is higher than rainfall.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135149375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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