{"title":"Development of a fuzzy-based approach for assessing water quality","authors":"Sumita Gulati, Anshul Bansal, Ashok Pal","doi":"10.2166/ws.2023.279","DOIUrl":"https://doi.org/10.2166/ws.2023.279","url":null,"abstract":"Abstract Fresh water is vital for the survival of life. Rivers are the primary source of freshwater supply. However, over the past few decades, challenges concerning the sustainability of rivers and maintaining their water quality have become countless. Due to rapid and unrestrained advancements, the river's ecosystem gets imbalanced. To assess and predict the water quality from the real data collected, it becomes necessary to devise ways to interpret and analyze the data efficiently. The present work deals with the development of a water quality index based on a fuzzy approach for predicting the water quality of the river Yamuna. The utmost contaminated stretch of the river through Delhi has been taken up for this study. The proposed methodology is elementary, simple, effective, and flexible in assimilating uncertainties involved in complex water management problems. The suggested index involves the most dominant parameters and can act as a practical tool for routine water quality assessment. The outcomes of the study give pronounced facts to water authorities about the awful condition of the river Yamuna in Delhi.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"49 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111716","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}
Nazanin Yousefian, Naser Shahnoushi, Ali Firoozzare, Saleh Taghvaeian
{"title":"The prioritization of volunteering revival measures of the Qanat","authors":"Nazanin Yousefian, Naser Shahnoushi, Ali Firoozzare, Saleh Taghvaeian","doi":"10.2166/ws.2023.277","DOIUrl":"https://doi.org/10.2166/ws.2023.277","url":null,"abstract":"The Fariman-Torbat Jam Plain has been under high pressure due to the imbalance of groundwater caused by excessive water extraction. Current conditions necessitate the preservation of appropriate extraction methods. Although the revival of the Qanat is known to be a highly compatible method, its high cost poses a challenge. Identifying and prioritizing measures to revive the Qanat can be a critical factor in managing this challenge. This study identified and prioritized the measures of the revival of the Qanat by using questionnaires, interviews with experts, and the entropy–VIKOR method. The results showed that among the 10 measures identified, reducing the extraction of water and changing the cultivation pattern were the top two priorities, and other measures were placed next. By implementing these measures, it is possible to partially respond to the demands of the natives while preventing further deterioration of the consequences that endanger the plain. Furthermore, considering the fact that the implementation of any measure can be beneficial, they should be determined based on region characteristics and then implemented in order of priority to obtain more favorable results.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135169349","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}
{"title":"Sustainable ecosystem management based on optimal water allocation and equity measures","authors":"Guo Li","doi":"10.2166/ws.2023.276","DOIUrl":"https://doi.org/10.2166/ws.2023.276","url":null,"abstract":"Abstract Allocation of water resources is an interesting research topic and one of the main challenges of arid regions. From the point of view of agriculture, this issue is closely related to ecological balance, economic development and social stability. Therefore, fair, efficient and sustainable allocation of water resources for users and decision-making is essential. This paper presents a dynamic stochastic programming model that predicts soil moisture content in a growing season based on data collected from an experimental farm. The model included three types of loam soil, silt loam and clay loam with three treatments of irrigation intervals of 3, 7, 10 and 14 days and three amounts of water allocation with three replications. The proposed framework was evaluated with two criteria of spatial and temporal equity, and the optimal water allocation was analyzed based on this criterion. The results showed that the criterion of temporal equity for loam soil with 7-day irrigation intervals is more than twice that of 14-day irrigation intervals. In addition, the depth of irrigation has had the greatest impact on the fluctuations of the criterion of equity in water allocation in the growing season.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"25 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315602","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}
{"title":"A method for setting the term of water rights trading based on loss–benefit function","authors":"Hao Xu, Liuxin Chen, Qiongfang Li","doi":"10.2166/ws.2023.278","DOIUrl":"https://doi.org/10.2166/ws.2023.278","url":null,"abstract":"Abstract At present, water rights trading is used by many countries around the world to solve the problems of water resource shortage and uneven spatial and temporal distribution. However, there is no scientific method for setting the term of water rights trading, which is generally determined through negotiation between the trading parties. In order to find a more objective method for determining the term of water rights trading, we constructed a loss–benefit model about the term of water rights trading and solved it based on the principle of comprehensive benefits greater than zero to determine the optimal term of water rights trading. First, we analyzed the benefits and losses brought by water rights trading, then constructed a loss–benefit function with trading term as the independent variable. Second, based on the graphical analysis method, we analyzed the benefits and losses of water rights trading. Finally, the optimal term for water rights trading is determined based on the loss–benefit function and combined with a graphical analysis method. In addition, this study can also help us determine the longest or shortest water rights trading term based on actual situations.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135316273","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}
Shaolei Guo, Shifeng Sun, Xianqi Zhang, Haiyang Chen, Haiyang Li
{"title":"Monthly precipitation prediction based on the EMD–VMD–LSTM coupled model","authors":"Shaolei Guo, Shifeng Sun, Xianqi Zhang, Haiyang Chen, Haiyang Li","doi":"10.2166/ws.2023.275","DOIUrl":"https://doi.org/10.2166/ws.2023.275","url":null,"abstract":"Abstract Precipitation prediction is one of the important issues in meteorology and hydrology, and it is of great significance for water resources management, flood control, and disaster reduction. In this paper, a precipitation prediction model based on the empirical mode decomposition–variational mode decomposition–long short-term memory (EMD–VMD–LSTM) is proposed. This model is coupled with EMD, VMD, and LSTM to improve the accuracy and reliability of precipitation prediction by using the characteristics of EMD for noise removal, VMD for trend extraction, and LSTM for long-term memory. The monthly precipitation data from 2000 to 2019 in Luoyang City, Henan Province, China, are selected as the research object. This model is compared with the standalone LSTM model, EMD–LSTM coupled model, and VMD–LSTM coupled model. The research results show that the maximum relative error and minimum relative error of the precipitation prediction using the EMD–VMD–LSTM neural network coupled model are 9.64 and −7.52%, respectively, with a 100% prediction accuracy. This coupled model has better accuracy than the other three models in predicting precipitation in Luoyang City. In summary, the proposed EMD–VMD–LSTM precipitation prediction model combines the advantages of multiple methods and provides an effective way to predict precipitation.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"60 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135315732","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}
{"title":"Improving the reservoir inflow prediction using TIGGE ensemble data and hydrological model for Dharoi Dam, India","authors":"Anant Patel, S. M. Yadav","doi":"10.2166/ws.2023.274","DOIUrl":"https://doi.org/10.2166/ws.2023.274","url":null,"abstract":"Abstract Flooding occurs frequently compared to other natural disasters. Less developed countries are severely affected by floods. This research provides an integrated hydrometeorological system that forecasts hourly reservoir inflows using a full physically based rainfall–runoff and numerical weather models. This study develops a 5-day lead time reservoir inflow prediction using TIGGE ensemble datasets from ECMWF, UKMO, and NCEP for the Dharoi Dam in Gujarat, India. The ensemble data were post-processed using censored non-homogeneous Linear Regression and Bayesian model averaging approach. These post-processed data were used in a hydrological model to simulate hydrological processes and predict Dharoi Dam reservoir inflows. Results show that ECMWF with a BMA approach and HEC-HMS hydrological model can predict reservoir inflows in the Sabarmati River basin. The correlation result of an observed reservoir inflow is 0.91. This research can help regional water resource managers and government officials to plan and manage water resources.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135884927","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}
{"title":"Developing a primal-dual algorithm for optimal planning of groundwater resources","authors":"Bohong Zheng, Yuanyuan Huang","doi":"10.2166/ws.2023.273","DOIUrl":"https://doi.org/10.2166/ws.2023.273","url":null,"abstract":"Abstract The exploitation of water resources to provide water for agriculture follows methods that increase the efficiency of adopted policies. One of the effective ways to improve the efficiency of these systems is to evaluate the role of flow estimation in improving performance indicators such as reliability and vulnerability. In the correlation of water, energy and food, the purpose of decision-making is to achieve a balance between water extraction and energy consumption, which will lead to a reduction in the risk of supplying the water needed by the plant during periods of drought stress. In this article, a decision-making method using discrete wavelet transform and primal-dual algorithm is introduced to estimate the amount of monthly groundwater extraction. The proposed model has been evaluated by the Nash–Sutcliffe method and the mean squared error and optimized to increase the reliability of agricultural water supply. The results indicate the strong role of the accuracy of the proposed method in the efficiency of the aforementioned policies, as it has shown an 8% increase in reliability.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136033073","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}
Kiana Modaresahmadi, Amid Khodadoust, James Wescott
{"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":"45 1","pages":"0"},"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}
{"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":"26 1","pages":"0"},"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}
{"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":"70 1","pages":"0"},"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}