Ramazan Demircioğlu, Yusuf Gökhan Dursun, İlknur Demircioğlu
Abstract In this study, an area of 150 km2 with important settlements and agricultural areas within the Kızılırmak and Kuyulukışla grabens, in the north of Nevşehir province (Turkey), was investigated. This study aimed to evaluate the hydrochemical properties and water quality of the vital groundwater in the study area, determine effective utilisation methods, and make recommendations for sustainable use. From the data obtained as a result of these analyses, sodium adsorption ratio (SAR) and sodium percentage (%Na) values were calculated and compared with WHO (World Health Organization) and TS-266 (Turkish Standards) quality standards to determine the characteristics of water for human consumption and irrigation for agricultural purposes. Based on these values, Wilcox diagrams and US Salinity Laboratory diagrams were used. According to these evaluations, it was found that sample SMP1 is not suitable for use as drinking water according to the basic parameters in the reference standards, while the other samples are suitable for drinking and human consumption. Electrical conductivity, %Na, SAR values, US Salinity Laboratory, and Wilcox diagrams were used to evaluate the use of water resources for irrigation purposes. According to the results obtained, all samples except sample SMP1 were found to be suitable for use as irrigation water.
{"title":"Hydrogeologic characteristics of groundwater in the Kızılırmak graben (Nevsehir–Turkey) and its evaluation in terms of irrigation water quality","authors":"Ramazan Demircioğlu, Yusuf Gökhan Dursun, İlknur Demircioğlu","doi":"10.2166/ws.2023.260","DOIUrl":"https://doi.org/10.2166/ws.2023.260","url":null,"abstract":"Abstract In this study, an area of 150 km2 with important settlements and agricultural areas within the Kızılırmak and Kuyulukışla grabens, in the north of Nevşehir province (Turkey), was investigated. This study aimed to evaluate the hydrochemical properties and water quality of the vital groundwater in the study area, determine effective utilisation methods, and make recommendations for sustainable use. From the data obtained as a result of these analyses, sodium adsorption ratio (SAR) and sodium percentage (%Na) values were calculated and compared with WHO (World Health Organization) and TS-266 (Turkish Standards) quality standards to determine the characteristics of water for human consumption and irrigation for agricultural purposes. Based on these values, Wilcox diagrams and US Salinity Laboratory diagrams were used. According to these evaluations, it was found that sample SMP1 is not suitable for use as drinking water according to the basic parameters in the reference standards, while the other samples are suitable for drinking and human consumption. Electrical conductivity, %Na, SAR values, US Salinity Laboratory, and Wilcox diagrams were used to evaluate the use of water resources for irrigation purposes. According to the results obtained, all samples except sample SMP1 were found to be suitable for use as irrigation water.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134975669","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 With the continuous development of the sustainability concept, the status and role of scientific management of resources and healthy economic development in social construction are becoming more and more prominent, and the problems and contradictions of water management and new energy economic development are also emerging. To enhance the scientificity of water management and promote the healthy development of a new energy economy, this paper discusses the application of blockchain technology in water management and the development of a new energy economy on the basis of analyzing its current situation. To verify the effectiveness of blockchain technology, this paper took S City as the research object, applied the decision model based on blockchain technology to water management and new energy economic development optimization decisions, and made an empirical analysis from three aspects: water management effect, new energy economic development level, and overall effect. The results showed that under the blockchain decision-making model, the development level of water management, the new energy economy, and their coordinated development level in 2013 were 0.527, 0.535, and 0.602, respectively. In 2022, their development levels reached 0.556, 0.564, and 0.634, respectively.
{"title":"Application of blockchain technology in water management and new energy economic development","authors":"Jun Zhang","doi":"10.2166/ws.2023.258","DOIUrl":"https://doi.org/10.2166/ws.2023.258","url":null,"abstract":"Abstract With the continuous development of the sustainability concept, the status and role of scientific management of resources and healthy economic development in social construction are becoming more and more prominent, and the problems and contradictions of water management and new energy economic development are also emerging. To enhance the scientificity of water management and promote the healthy development of a new energy economy, this paper discusses the application of blockchain technology in water management and the development of a new energy economy on the basis of analyzing its current situation. To verify the effectiveness of blockchain technology, this paper took S City as the research object, applied the decision model based on blockchain technology to water management and new energy economic development optimization decisions, and made an empirical analysis from three aspects: water management effect, new energy economic development level, and overall effect. The results showed that under the blockchain decision-making model, the development level of water management, the new energy economy, and their coordinated development level in 2013 were 0.527, 0.535, and 0.602, respectively. In 2022, their development levels reached 0.556, 0.564, and 0.634, respectively.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135481391","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 Development projects that are created on the basis of using surface water resources such as rivers and lakes without considering the values of the ecosystem cause irreparable damage. Water transfer is one of the options of water management, which is done to allocate water to the agricultural, domestic and industrial sectors and reduces the ecosystem's share of natural water resources. Food supply, industrial development and population growth are the phenomena of the present condition, which are opposed to the ecosystem services that the future generation needs. This study has been carried out in order to develop an optimal control model for the allocation of a natural water resource considering irreversibility. This method is inspired by the Krutilla–Fisher model, which was developed in the form of the possibility of improving agricultural water management. The results showed that by applying optimal management in 25% of agricultural water use, it is possible to provide 100 and 65% of the ecosystem's water requirements in winter and summer, respectively. It showed that the allocation of river water for different uses in the current situation does not follow an optimal policy. In fact, it exacerbates environmental irreversibility in the ecosystem.
{"title":"Irreversibility and natural resource allocation: applying Krutilla–Fisher model in water allocation","authors":"Hongyan Wu","doi":"10.2166/ws.2023.259","DOIUrl":"https://doi.org/10.2166/ws.2023.259","url":null,"abstract":"Abstract Development projects that are created on the basis of using surface water resources such as rivers and lakes without considering the values of the ecosystem cause irreparable damage. Water transfer is one of the options of water management, which is done to allocate water to the agricultural, domestic and industrial sectors and reduces the ecosystem's share of natural water resources. Food supply, industrial development and population growth are the phenomena of the present condition, which are opposed to the ecosystem services that the future generation needs. This study has been carried out in order to develop an optimal control model for the allocation of a natural water resource considering irreversibility. This method is inspired by the Krutilla–Fisher model, which was developed in the form of the possibility of improving agricultural water management. The results showed that by applying optimal management in 25% of agricultural water use, it is possible to provide 100 and 65% of the ecosystem's water requirements in winter and summer, respectively. It showed that the allocation of river water for different uses in the current situation does not follow an optimal policy. In fact, it exacerbates environmental irreversibility in the ecosystem.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135482647","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 Creating a structure for allocating water from common pool resources is a serious problem in agricultural water management. In this research, an attempt has been made based on bi-objective optimization and the non-dominated theory to create the water allocation models for the cultivation pattern. The water allocated in each irrigation event was defined as the decision variable in this structure. Two objective functions include the following: (1) maximizing and minimizing the water allocation and (2) minimizing conflicts between beneficiaries in the Hebei Plain. Conflicts between beneficiaries were formulated based on the ratio between the crop area and water allocation and were defined by an inertia weight to increase its effect on the final iterations of the process. The Whale Optimization Algorithm was included as a bi-objective algorithm in the decision-making process. The number of decision variables and feasible domains in each decision model is different and creates a crowding distance for competition between operators. The results showed that the water allocation planning structure based on the evaluation index had the best solution front.
{"title":"An uncertain structure for minimizing the conflict of exploitation policies in common pool groundwater resources","authors":"Yaning Xu, Yi Mao, Yuezhong Fan","doi":"10.2166/ws.2023.254","DOIUrl":"https://doi.org/10.2166/ws.2023.254","url":null,"abstract":"Abstract Creating a structure for allocating water from common pool resources is a serious problem in agricultural water management. In this research, an attempt has been made based on bi-objective optimization and the non-dominated theory to create the water allocation models for the cultivation pattern. The water allocated in each irrigation event was defined as the decision variable in this structure. Two objective functions include the following: (1) maximizing and minimizing the water allocation and (2) minimizing conflicts between beneficiaries in the Hebei Plain. Conflicts between beneficiaries were formulated based on the ratio between the crop area and water allocation and were defined by an inertia weight to increase its effect on the final iterations of the process. The Whale Optimization Algorithm was included as a bi-objective algorithm in the decision-making process. The number of decision variables and feasible domains in each decision model is different and creates a crowding distance for competition between operators. The results showed that the water allocation planning structure based on the evaluation index had the best solution front.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591469","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 Due to severe water pollution, gradual shortage of energy resources, and increasing demand for food, the environment related to the water,food, and energy nexus has caused serious damage and pollution and has had a significant impact on economic development.“ to ”The intensification of water pollution, the gradual shortage of energy resources, and the increasing demand for food have caused serious damage and pollution to the natural environment and also had a significant impact on economic development.
{"title":"Innovative integration of environmental and economic development related to water–food–energy relations","authors":"Qianhe Xiang","doi":"10.2166/ws.2023.253","DOIUrl":"https://doi.org/10.2166/ws.2023.253","url":null,"abstract":"Abstract Due to severe water pollution, gradual shortage of energy resources, and increasing demand for food, the environment related to the water,food, and energy nexus has caused serious damage and pollution and has had a significant impact on economic development.“ to ”The intensification of water pollution, the gradual shortage of energy resources, and the increasing demand for food have caused serious damage and pollution to the natural environment and also had a significant impact on economic development.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135592439","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}
Amir Mohammad Rezayati, Abdolmajid Liaghat, Majid Sharifipour, Arezoo N. Ghameshlou
Abstract The assessment of sprinkler system performance is crucial in ensuring the efficient use of water resources. The commonly used indicators of the uniformity of water distribution in sprinkler systems are Christiansen's uniformity (CU) and distribution uniformity (DU) coefficients. A more comprehensive analysis of water distribution is essential in situations where the reliability of these coefficients as indicators of water distribution patterns is limited. In the present research, distribution maps of water depth were prepared from water application profiles using catch cans experiments that were carried out in the research farm of the Agriculture and Natural Resources Faculty of the University of Tehran, which is located in Alborz province. In this way, water application profile data were obtained at different operating pressures (200, 250, 300, 350, and 400 kPa). By using this data, 2D and 3D distribution maps of water depth were created due to the overlapping of sprinklers in different arrangements, spacing, and pressures. In addition, CU and DU coefficients in square, rectangular, and triangular arrangements with different spacing and pressures from 200 to 400 kPa. A total of 11,250 different simulations were calculated and analyzed. Distribution maps of water depth contribute to advancing the understanding of sprinkler irrigation system performance and aid in the optimization of water management practices.
{"title":"The importance of water depth distribution maps in the sprinkler irrigation system performance assessment","authors":"Amir Mohammad Rezayati, Abdolmajid Liaghat, Majid Sharifipour, Arezoo N. Ghameshlou","doi":"10.2166/ws.2023.256","DOIUrl":"https://doi.org/10.2166/ws.2023.256","url":null,"abstract":"Abstract The assessment of sprinkler system performance is crucial in ensuring the efficient use of water resources. The commonly used indicators of the uniformity of water distribution in sprinkler systems are Christiansen's uniformity (CU) and distribution uniformity (DU) coefficients. A more comprehensive analysis of water distribution is essential in situations where the reliability of these coefficients as indicators of water distribution patterns is limited. In the present research, distribution maps of water depth were prepared from water application profiles using catch cans experiments that were carried out in the research farm of the Agriculture and Natural Resources Faculty of the University of Tehran, which is located in Alborz province. In this way, water application profile data were obtained at different operating pressures (200, 250, 300, 350, and 400 kPa). By using this data, 2D and 3D distribution maps of water depth were created due to the overlapping of sprinklers in different arrangements, spacing, and pressures. In addition, CU and DU coefficients in square, rectangular, and triangular arrangements with different spacing and pressures from 200 to 400 kPa. A total of 11,250 different simulations were calculated and analyzed. Distribution maps of water depth contribute to advancing the understanding of sprinkler irrigation system performance and aid in the optimization of water management practices.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135645197","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 This research endeavors to develop a decision support tool aimed at ascertaining the optimal site selection for water harvesting structures in semi-arid regions, employing a geographic information system-based multiple criteria decision analysis approach. Water scarcity poses a formidable challenge in various countries, particularly in arid and semi-arid areas. Among the potential solutions, the adoption of water harvesting technologies stands out for capturing and storing rainwater to address water shortages. However, the effectiveness and efficiency of these structures hinge significantly on their precise placement. To address this issue, this paper introduces a comprehensive framework that integrates multiple criteria, encompassing rainfall intensity, land slope, soil type, and land use, to discern the most suitable locations for water harvesting structures. A practical application of the proposed methodology is demonstrated through a case study conducted in the Sabarmati river basin. The results demonstrate the effectiveness of the approach in identifying highly suitable locations for water harvesting structures, ultimately contributing to the enhancement of water security in the region.
{"title":"Enhancing water security through site selection of water harvesting structures in semi-arid regions: a GIS-based multiple criteria decision analysis","authors":"Anant Patel, Nirali Chaudhari","doi":"10.2166/ws.2023.257","DOIUrl":"https://doi.org/10.2166/ws.2023.257","url":null,"abstract":"Abstract This research endeavors to develop a decision support tool aimed at ascertaining the optimal site selection for water harvesting structures in semi-arid regions, employing a geographic information system-based multiple criteria decision analysis approach. Water scarcity poses a formidable challenge in various countries, particularly in arid and semi-arid areas. Among the potential solutions, the adoption of water harvesting technologies stands out for capturing and storing rainwater to address water shortages. However, the effectiveness and efficiency of these structures hinge significantly on their precise placement. To address this issue, this paper introduces a comprehensive framework that integrates multiple criteria, encompassing rainfall intensity, land slope, soil type, and land use, to discern the most suitable locations for water harvesting structures. A practical application of the proposed methodology is demonstrated through a case study conducted in the Sabarmati river basin. The results demonstrate the effectiveness of the approach in identifying highly suitable locations for water harvesting structures, ultimately contributing to the enhancement of water security in the region.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695896","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 Due to the continuous development and application of blockchain technology, more and more industries are exploring its application in project management. In the management of water transportation engineering projects, blockchain technology also has certain application potential. This article will start with the characteristics of blockchain technology, and the current situation and needs of water transportation project management, analyze the application mode of blockchain technology in water transportation project management, and explore its advantages, limitations, and practical applications. The experimental results of this article showed that when blockchain technology was applied to the management of water transportation engineering projects, its information sharing score was 93; its data storage and management score was 96.1; its smart contract score was 97.4; its fund management score was 97.1; its Internet of Things technology score was 96.5, which was far higher than the score of applying traditional technologies. It was shown that using blockchain technology for water transportation engineering project management can improve the efficiency and quality of project management, reduce costs, and extend to a wider range of water transportation lines and project fields in the future.
{"title":"Evaluation on the application mode of blockchain technology in water transportation engineering project management","authors":"Liyu Lu","doi":"10.2166/ws.2023.255","DOIUrl":"https://doi.org/10.2166/ws.2023.255","url":null,"abstract":"Abstract Due to the continuous development and application of blockchain technology, more and more industries are exploring its application in project management. In the management of water transportation engineering projects, blockchain technology also has certain application potential. This article will start with the characteristics of blockchain technology, and the current situation and needs of water transportation project management, analyze the application mode of blockchain technology in water transportation project management, and explore its advantages, limitations, and practical applications. The experimental results of this article showed that when blockchain technology was applied to the management of water transportation engineering projects, its information sharing score was 93; its data storage and management score was 96.1; its smart contract score was 97.4; its fund management score was 97.1; its Internet of Things technology score was 96.5, which was far higher than the score of applying traditional technologies. It was shown that using blockchain technology for water transportation engineering project management can improve the efficiency and quality of project management, reduce costs, and extend to a wider range of water transportation lines and project fields in the future.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695761","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":"Corrigendum: <i>Water Supply</i> 1 June 2023; 23 (6): 2404–2425. Spatio-temporal evaluation of water-energy-food nexus system risk from the provincial perspective: A case study of China. Tonghui Ding, Junfei Chen","authors":"","doi":"10.2166/ws.2023.272","DOIUrl":"https://doi.org/10.2166/ws.2023.272","url":null,"abstract":"","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135705853","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 level dynamic monitoring data have the characteristics of spatio-temporal non-smoothness and strong spatio-temporal correlation. However, the current groundwater level prediction model is insufficient to consider the spatio-temporal factors of the groundwater level and the autocorrelation of spatio-temporal series, particularly the lack of consideration of hydrogeological conditions in the actual study area. Thus, this study constructed a model based on the hydrogeological conditions and the spatio-temporal characteristics of the dynamic monitoring data of groundwater in the porous confined aquifer III in Nantong, the northern wing of the Yangtze River Delta, China. The spatial autocorrelation coefficient of the hydrogeology important parameter, permeability coefficient K, is used to optimize the distance weighting coefficient of monitoring wells obtained by the K-nearest neighbor (KNN) algorithm and then reconstruct the spatio-temporal dataset and long short-term memory (LSTM) network. A spatio-temporal groundwater level prediction model LSTM-K-KNN that introduces the spatial autocorrelation of hydrogeological parameters was constructed. The reliability and accuracy of LSTM-K-KNN, LSTM, autoregressive integrated moving average (ARIMA) model, and support vector machine (SVM) were evaluated by a cross-validation algorithm. Results showed that the prediction accuracy of LSTM-K-KNN is 19.86, 43.64, and 52.38% higher than that of the other single prediction models (LSTM, ARIMA, and SVM).
摘要地下水位动态监测数据具有时空非平滑性和强时空相关性的特点。然而，现有的地下水位预测模型在考虑地下水位的时空因素和时空序列的自相关性方面存在不足，特别是缺乏对实际研究区的水文地质条件的考虑。为此，本研究基于长江三角洲北翼南通市多孔承压含水层III期地下水动态监测数据的水文地质条件和时空特征，构建了模型。利用水文地质重要参数渗透率系数K的空间自相关系数，对K-最近邻(KNN)算法得到的监测井距离加权系数进行优化，重构时空数据集和长短期记忆(LSTM)网络。建立了引入水文地质参数空间自相关的时空地下水位预测模型LSTM-K-KNN。通过交叉验证算法对LSTM- k - knn、LSTM、自回归综合移动平均(ARIMA)模型和支持向量机(SVM)模型的可靠性和准确性进行了评价。结果表明，LSTM- k - knn的预测准确率分别比LSTM、ARIMA和SVM的预测准确率分别高出19.86、43.64和52.38%。
{"title":"A hybrid coupling model of groundwater level simulation considering hydrogeological parameter: a case study of Nantong City in Eastern China","authors":"Liang He, Jia Liu, Shaohua Lei, Ling Chen","doi":"10.2166/ws.2023.248","DOIUrl":"https://doi.org/10.2166/ws.2023.248","url":null,"abstract":"Abstract Groundwater level dynamic monitoring data have the characteristics of spatio-temporal non-smoothness and strong spatio-temporal correlation. However, the current groundwater level prediction model is insufficient to consider the spatio-temporal factors of the groundwater level and the autocorrelation of spatio-temporal series, particularly the lack of consideration of hydrogeological conditions in the actual study area. Thus, this study constructed a model based on the hydrogeological conditions and the spatio-temporal characteristics of the dynamic monitoring data of groundwater in the porous confined aquifer III in Nantong, the northern wing of the Yangtze River Delta, China. The spatial autocorrelation coefficient of the hydrogeology important parameter, permeability coefficient K, is used to optimize the distance weighting coefficient of monitoring wells obtained by the K-nearest neighbor (KNN) algorithm and then reconstruct the spatio-temporal dataset and long short-term memory (LSTM) network. A spatio-temporal groundwater level prediction model LSTM-K-KNN that introduces the spatial autocorrelation of hydrogeological parameters was constructed. The reliability and accuracy of LSTM-K-KNN, LSTM, autoregressive integrated moving average (ARIMA) model, and support vector machine (SVM) were evaluated by a cross-validation algorithm. Results showed that the prediction accuracy of LSTM-K-KNN is 19.86, 43.64, and 52.38% higher than that of the other single prediction models (LSTM, ARIMA, and SVM).","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136344978","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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