Mahnoush Maleki, Genevieve Pelletier, Manuel Rodriguez
Abstract Water distribution system (WDS) characteristics can impact drinking water quality. Kinetic reaction coefficients of residual disinfectant associated with bulk water (kb) and pipe wall (kw) during water distribution can lead to water quality degradation. Determining these coefficients can be expensive and time-consuming. The main objective of this study is to determine the most relevant pipe characteristics and locations to best determine chlorine decay coefficients in a WDS. This article aims to evaluate various scenarios of kb and kw values and compare them to measured data in a full-scale WDS. The most accurate scenario is also compared with the lowest-cost scenario to identify the most effective information needed to determine these coefficients, in terms of location within the WDS and pipe characteristics (age, diameter, and material). Results showed that the scenario with the highest kw and kb values corresponds best to the field-measured data. Moreover, determining specific kinetic coefficients was shown to be more accurate for gray cast iron pipes, pipes installed in a period before 1960, and vulnerable zones for residual chlorine decay.
{"title":"Identifying key pipe attributes and locations to best determine chlorine decay coefficients within a water distribution system","authors":"Mahnoush Maleki, Genevieve Pelletier, Manuel Rodriguez","doi":"10.2166/ws.2023.251","DOIUrl":"https://doi.org/10.2166/ws.2023.251","url":null,"abstract":"Abstract Water distribution system (WDS) characteristics can impact drinking water quality. Kinetic reaction coefficients of residual disinfectant associated with bulk water (kb) and pipe wall (kw) during water distribution can lead to water quality degradation. Determining these coefficients can be expensive and time-consuming. The main objective of this study is to determine the most relevant pipe characteristics and locations to best determine chlorine decay coefficients in a WDS. This article aims to evaluate various scenarios of kb and kw values and compare them to measured data in a full-scale WDS. The most accurate scenario is also compared with the lowest-cost scenario to identify the most effective information needed to determine these coefficients, in terms of location within the WDS and pipe characteristics (age, diameter, and material). Results showed that the scenario with the highest kw and kb values corresponds best to the field-measured data. Moreover, determining specific kinetic coefficients was shown to be more accurate for gray cast iron pipes, pipes installed in a period before 1960, and vulnerable zones for residual chlorine decay.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385276","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 The economic benefits of tourism are an important indicator for evaluating the tourism economic activities and their impact. In order to maximize the tourism economic benefits, this article studied the economic benefits of tourism from the perspective of agricultural water resource transformation. This paper took the relevant data of Shandong Province from 2010 to 2022 as the object of study and established the evaluation index system of tourism economic benefits of Shandong Province. The coupling relationship between tourism economic benefits and ecological environment (EE) was studied, and the systemic evaluation index system of Shandong tourism economy and EE was constructed. The range method and entropy method were used to calculate indicator weights, thereby constructing a coupled collaborative model between the tourism economy and the EE. Based on the relationship between tourism economic benefits and EE, research has been conducted on the transformation methods of agricultural water resources in EE construction to improve tourism economic benefits. With the continuous improvement of the EE index, the coupling degree between the tourism economic index and the EE index in many cities in Shandong Province has improved, and the tourism economic benefits have greatly improved.
{"title":"Maximizing ecological environment benefits from the perspective of agricultural water resource transformation","authors":"Yuan Fang","doi":"10.2166/ws.2023.250","DOIUrl":"https://doi.org/10.2166/ws.2023.250","url":null,"abstract":"Abstract The economic benefits of tourism are an important indicator for evaluating the tourism economic activities and their impact. In order to maximize the tourism economic benefits, this article studied the economic benefits of tourism from the perspective of agricultural water resource transformation. This paper took the relevant data of Shandong Province from 2010 to 2022 as the object of study and established the evaluation index system of tourism economic benefits of Shandong Province. The coupling relationship between tourism economic benefits and ecological environment (EE) was studied, and the systemic evaluation index system of Shandong tourism economy and EE was constructed. The range method and entropy method were used to calculate indicator weights, thereby constructing a coupled collaborative model between the tourism economy and the EE. Based on the relationship between tourism economic benefits and EE, research has been conducted on the transformation methods of agricultural water resources in EE construction to improve tourism economic benefits. With the continuous improvement of the EE index, the coupling degree between the tourism economic index and the EE index in many cities in Shandong Province has improved, and the tourism economic benefits have greatly improved.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135385454","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}
Oumar Traoré, Nafissatou Ouédraogo, René Dembélé, Dissinviel Stéphane Kpoda, Courage Kosi Setsoafia Saba, Isidore Juste Ouindgueta Bonkoungou, Nicolas Barro
Abstract Urban packaged water samples of Ouagadougou were studied in order to assess their bacteriological and chemical characteristics and suitability for potable purposes. The study also investigated the sanitation of the companies producing packaged water. Packaged water from 17 different brands was purchased and analyzed for physicochemical (turbidity, pH, EC, total hardness, NH4+, NO3-, HCO3-, SO42-, and Cl−) and bacteriological (total coliforms, Escherichia coli, Pseudomonas aeruginosa, Enterococcus, and sulphite-reducing anaerobic bacteria) parameters. The production sites investigation included: (1) distance between latrines and water sources superior to 15 m, (2) hygiene of handling personnel, (3) training of handling personnel on good hygiene practice and manufacturing, (4) hygiene of premises, and (5) hygiene of toilets. All the samples met the national guidelines for the physicochemical parameters investigated. Enterococcus, sulphite-reducing anaerobic bacteria spores, and E. coli were not found. Total coliforms were found in 8 (47.1%) in February, 9 (52.9%) in March, 2 (11.7%) in April, and 5 (29.4%) in May, while 7 (41.2%) brands were always in compliance with the guidelines. Some packaged waters were contaminated with total coliforms or P. aeruginosa above acceptable limits for human consumption. Regarding bacteriological contamination, it is necessary to reinforce water treatment systems in certain packaged water companies.
{"title":"Physicochemical and bacteriological quality and safety of packaged drinking water in Ouagadougou, Burkina Faso","authors":"Oumar Traoré, Nafissatou Ouédraogo, René Dembélé, Dissinviel Stéphane Kpoda, Courage Kosi Setsoafia Saba, Isidore Juste Ouindgueta Bonkoungou, Nicolas Barro","doi":"10.2166/ws.2023.249","DOIUrl":"https://doi.org/10.2166/ws.2023.249","url":null,"abstract":"Abstract Urban packaged water samples of Ouagadougou were studied in order to assess their bacteriological and chemical characteristics and suitability for potable purposes. The study also investigated the sanitation of the companies producing packaged water. Packaged water from 17 different brands was purchased and analyzed for physicochemical (turbidity, pH, EC, total hardness, NH4+, NO3-, HCO3-, SO42-, and Cl−) and bacteriological (total coliforms, Escherichia coli, Pseudomonas aeruginosa, Enterococcus, and sulphite-reducing anaerobic bacteria) parameters. The production sites investigation included: (1) distance between latrines and water sources superior to 15 m, (2) hygiene of handling personnel, (3) training of handling personnel on good hygiene practice and manufacturing, (4) hygiene of premises, and (5) hygiene of toilets. All the samples met the national guidelines for the physicochemical parameters investigated. Enterococcus, sulphite-reducing anaerobic bacteria spores, and E. coli were not found. Total coliforms were found in 8 (47.1%) in February, 9 (52.9%) in March, 2 (11.7%) in April, and 5 (29.4%) in May, while 7 (41.2%) brands were always in compliance with the guidelines. Some packaged waters were contaminated with total coliforms or P. aeruginosa above acceptable limits for human consumption. Regarding bacteriological contamination, it is necessary to reinforce water treatment systems in certain packaged water companies.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535943","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 Ensuring the microbiological safety of drinking water is of paramount importance to protect public health. Coliform bacteria, including Escherichia coli, serve as key indicators of water contamination and the potential presence of harmful pathogens. Accurate and reliable detection and enumeration of coliforms in drinking water are essential for monitoring water quality and implementing appropriate interventions. This review article provides an overview of various traditional culture-based methods and rapid molecular methods employed for the analysis of coliforms in drinking water, highlighting their strengths, limitations, and advancements. Culture-based methods such as multiple-tube fermentation (most probable number) and membrane filtration techniques have long been used as standard methods for coliform detection. The emerging molecular-based approaches, including polymerase chain reaction (PCR), quantitative PCR, and nucleic acid sequencing offer improved sensitivity, specificity, and turnaround time. This comprehensive review provides a valuable resource for researchers, water quality professionals, and policymakers engaged in the detection and enumeration of coliform bacteria in drinking water. It offers an up-to-date understanding of different methods, their advancements, and the potential integration of novel technologies. By critically evaluating these approaches, this review aims to contribute to the ongoing efforts toward ensuring safe drinking water for all.
{"title":"Methods for detection and enumeration of coliforms in drinking water: a review","authors":"Ashish Tambi, Urmila Brighu, A. B. Gupta","doi":"10.2166/ws.2023.247","DOIUrl":"https://doi.org/10.2166/ws.2023.247","url":null,"abstract":"Abstract Ensuring the microbiological safety of drinking water is of paramount importance to protect public health. Coliform bacteria, including Escherichia coli, serve as key indicators of water contamination and the potential presence of harmful pathogens. Accurate and reliable detection and enumeration of coliforms in drinking water are essential for monitoring water quality and implementing appropriate interventions. This review article provides an overview of various traditional culture-based methods and rapid molecular methods employed for the analysis of coliforms in drinking water, highlighting their strengths, limitations, and advancements. Culture-based methods such as multiple-tube fermentation (most probable number) and membrane filtration techniques have long been used as standard methods for coliform detection. The emerging molecular-based approaches, including polymerase chain reaction (PCR), quantitative PCR, and nucleic acid sequencing offer improved sensitivity, specificity, and turnaround time. This comprehensive review provides a valuable resource for researchers, water quality professionals, and policymakers engaged in the detection and enumeration of coliform bacteria in drinking water. It offers an up-to-date understanding of different methods, their advancements, and the potential integration of novel technologies. By critically evaluating these approaches, this review aims to contribute to the ongoing efforts toward ensuring safe drinking water for all.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135535961","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 Considering the importance of agriculture in food security in arid and semiarid areas, it is absolutely necessary to apply the planning model based on different objectives. This study has been conducted to simulate the trading and non-trading policies in the Particle Swarm Optimization framework for estimating the optimal economic values of agricultural water in Jilin province, northeastern China. Fuzzy solutions have been also calculated by definition of the feasible domain for water availability and permits. A generalized extreme value function was incorporated into the problem to predict the rainfall amounts with a 25-year return period. The results showed that determining the agricultural pattern using a trading policy with the aim of benefiting from the water will reduce the water demand in the study area. The trading policy can lead to a more efficient allocation of released water and reduce water scarcity, but it can eliminate some plants from the cropping pattern by reducing the water level. As a result, trading policy can be effective in the short term, especially in drought conditions due to insufficient water supply.
{"title":"The use of water allocation efficiency in optimizing crop production in drylands using a fuzzy trading model","authors":"Yuan Liang, Wentai Bi","doi":"10.2166/ws.2023.246","DOIUrl":"https://doi.org/10.2166/ws.2023.246","url":null,"abstract":"Abstract Considering the importance of agriculture in food security in arid and semiarid areas, it is absolutely necessary to apply the planning model based on different objectives. This study has been conducted to simulate the trading and non-trading policies in the Particle Swarm Optimization framework for estimating the optimal economic values of agricultural water in Jilin province, northeastern China. Fuzzy solutions have been also calculated by definition of the feasible domain for water availability and permits. A generalized extreme value function was incorporated into the problem to predict the rainfall amounts with a 25-year return period. The results showed that determining the agricultural pattern using a trading policy with the aim of benefiting from the water will reduce the water demand in the study area. The trading policy can lead to a more efficient allocation of released water and reduce water scarcity, but it can eliminate some plants from the cropping pattern by reducing the water level. As a result, trading policy can be effective in the short term, especially in drought conditions due to insufficient water supply.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135719545","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 Water is an important component of agricultural wetlands, and human activities have disrupted the water cycle and its related functions, leading to problems such as water scarcity, water pollution, and wetland degradation. As an important water source conservation area and ecosystem, agricultural wetlands not only help maintain the sustainable use of water resources but also help improve the efficiency and quality of agricultural production. This article first introduces the water-centered utilization of agricultural wetlands, and then proposes the challenges and problems faced by agricultural wetland water resources management, focusing on the utilization and protection of water resources. Through research and analysis, the utilization efficiency of Xixi Wetland water resources was analyzed, and the importance of water resource protection and landscape design was analyzed using the Hangzhou Xixi Wetland as an example. This article proposed corresponding landscape design strategies for different utilization methods and analyzed the water resource utilization efficiency of the Xixi Wetland in the past decade through research. Under scientific management, the water resource utilization efficiency increased by 21% compared to 10 years ago. This article focused on ‘water’ and explored the utilization and landscape design of agricultural wetlands.
{"title":"Evaluation of agricultural wetland utilization and landscape design","authors":"Wanli Gu, Yang Jiang","doi":"10.2166/ws.2023.234","DOIUrl":"https://doi.org/10.2166/ws.2023.234","url":null,"abstract":"Abstract Water is an important component of agricultural wetlands, and human activities have disrupted the water cycle and its related functions, leading to problems such as water scarcity, water pollution, and wetland degradation. As an important water source conservation area and ecosystem, agricultural wetlands not only help maintain the sustainable use of water resources but also help improve the efficiency and quality of agricultural production. This article first introduces the water-centered utilization of agricultural wetlands, and then proposes the challenges and problems faced by agricultural wetland water resources management, focusing on the utilization and protection of water resources. Through research and analysis, the utilization efficiency of Xixi Wetland water resources was analyzed, and the importance of water resource protection and landscape design was analyzed using the Hangzhou Xixi Wetland as an example. This article proposed corresponding landscape design strategies for different utilization methods and analyzed the water resource utilization efficiency of the Xixi Wetland in the past decade through research. Under scientific management, the water resource utilization efficiency increased by 21% compared to 10 years ago. This article focused on ‘water’ and explored the utilization and landscape design of agricultural wetlands.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135719546","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 How to use geospatial technology to plan the ecological economy reasonably and promote the sustainable development of regional ecotourism has become an important issue faced by the current society. On the basis of the relationship between water and energy, this article took tourist areas as an example to analyze the geographical and spatial distribution characteristics of ecotourism attractions. A comparative analysis was conducted between the experimental group's tourist areas planned using GIS (geographic information system) and the control group's tourist areas planned using traditional planning. It was found that the average ecological and economic income of the experimental group within 1 year was about 1.2661 million yuan, which was higher than the average ecological and economic income of the control group within 1 year. This indicated that using GIS geospatial technology for reasonable planning of tourist areas is important for improving the overall ecological and economic income of tourist areas. This article used this research to explore the importance of rational planning of the ecological economy. Building a good ecological economic structure in tourism development plays an important role in reducing water and energy consumption to promote sustainable development of the tourism industry.
{"title":"Geospatial ecological economic planning based on water-energy-agritourism nexus, a case study of Jilin Province, China","authors":"Yongjia Guo","doi":"10.2166/ws.2023.245","DOIUrl":"https://doi.org/10.2166/ws.2023.245","url":null,"abstract":"Abstract How to use geospatial technology to plan the ecological economy reasonably and promote the sustainable development of regional ecotourism has become an important issue faced by the current society. On the basis of the relationship between water and energy, this article took tourist areas as an example to analyze the geographical and spatial distribution characteristics of ecotourism attractions. A comparative analysis was conducted between the experimental group's tourist areas planned using GIS (geographic information system) and the control group's tourist areas planned using traditional planning. It was found that the average ecological and economic income of the experimental group within 1 year was about 1.2661 million yuan, which was higher than the average ecological and economic income of the control group within 1 year. This indicated that using GIS geospatial technology for reasonable planning of tourist areas is important for improving the overall ecological and economic income of tourist areas. This article used this research to explore the importance of rational planning of the ecological economy. Building a good ecological economic structure in tourism development plays an important role in reducing water and energy consumption to promote sustainable development of the tourism industry.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135718559","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 The scaling problem exists universally in circulating water systems. Efficient and accurate assessment of scaling tendency is a prerequisite for solving the problem. In this work, it proposes electrolysis to induce hardness variation, which connects with the water stability evaluation index for quantitatively assessing the scaling tendency of water. The quantitative assessment is further realized on the basis of qualitative assessment. Then, the dynamic simulation experiments of circulating water are carried out to provide support for the electrolysis-induced hardness variation which clarifies the criteria that can meet the actual water requirements. This work can achieve an efficient and accurate quantitative assessment of the scaling tendency, which is of great significance for solving the scaling problem of circulating water systems.
{"title":"Electrolysis-induced hardness variation for quantitatively assessing the scaling tendency of circulating water","authors":"Guopeng Zheng, Lida Wang, Wen Sun, Zhengqing Yang, Xuewei Bao, Anfeng Hao, Haitao Deng, Hejin Li, Guichang Liu","doi":"10.2166/ws.2023.243","DOIUrl":"https://doi.org/10.2166/ws.2023.243","url":null,"abstract":"Abstract The scaling problem exists universally in circulating water systems. Efficient and accurate assessment of scaling tendency is a prerequisite for solving the problem. In this work, it proposes electrolysis to induce hardness variation, which connects with the water stability evaluation index for quantitatively assessing the scaling tendency of water. The quantitative assessment is further realized on the basis of qualitative assessment. Then, the dynamic simulation experiments of circulating water are carried out to provide support for the electrolysis-induced hardness variation which clarifies the criteria that can meet the actual water requirements. This work can achieve an efficient and accurate quantitative assessment of the scaling tendency, which is of great significance for solving the scaling problem of circulating water systems.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135814781","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}
Gong Chen, Lei Wang, Haoming Yang, Peifeng Wang, Jun Wei, Jianguo Bao
Abstract With the development of IoT monitoring equipment, an increasing number of monitoring indicators are employed to monitor the operational status of water pumps, thereby resulting in the challenge of data redundancy. This paper proposes an algorithm for predicting the health status of pumps that integrates multiple monitoring variables. Initially, the original dataset is classified using the maximum relevance minimum redundancy method. Next, principal component dimensionality reduction is used to reduce the dimensionality of the classified dataset. Finally, a long and short term memory neural network is employed to construct the association model between monitoring data and equipment health. The proposed algorithm takes into account the correlation between variables and the negative impacts of long-term dependence on the prediction results. It is capable of predicting abnormal working conditions, which has been experimentally verified in the Xiasha Pumping Station located in Hangzhou. The algorithm was compared with LR, SVM, and RNN algorithms, and it was found that the proposed algorithm achieved the highest prediction accuracy.
{"title":"Health assessment of water pumps using high-dimensional monitoring data","authors":"Gong Chen, Lei Wang, Haoming Yang, Peifeng Wang, Jun Wei, Jianguo Bao","doi":"10.2166/ws.2023.244","DOIUrl":"https://doi.org/10.2166/ws.2023.244","url":null,"abstract":"Abstract With the development of IoT monitoring equipment, an increasing number of monitoring indicators are employed to monitor the operational status of water pumps, thereby resulting in the challenge of data redundancy. This paper proposes an algorithm for predicting the health status of pumps that integrates multiple monitoring variables. Initially, the original dataset is classified using the maximum relevance minimum redundancy method. Next, principal component dimensionality reduction is used to reduce the dimensionality of the classified dataset. Finally, a long and short term memory neural network is employed to construct the association model between monitoring data and equipment health. The proposed algorithm takes into account the correlation between variables and the negative impacts of long-term dependence on the prediction results. It is capable of predicting abnormal working conditions, which has been experimentally verified in the Xiasha Pumping Station located in Hangzhou. The algorithm was compared with LR, SVM, and RNN algorithms, and it was found that the proposed algorithm achieved the highest prediction accuracy.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135966235","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 Water level prediction is an essential factor for the safe operation of pumping stations. However, due to the complex nonlinear relationship between the water level of the front pool of the pumping station and the influencing factors, the prediction of the water level is still inaccurate and untimely. Backpropagation (BP) neural network, improved particle swarm optimization-BP neural network (PSO-BP), support vector machine regression (SVR), and improved PSO-SVR were used to construct 4-h and 8-h ahead prediction models for pumping station prestation water levels. Mean absolute error, mean squared error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R correlation coefficient were used as prediction evaluation metrics. This method is applied in the Baliwan Pumping Station, the highest pumping station in the South-to-North Water Diversion Eastern Route Project (SNWDERP). The results showed that the MSE, RMSE, and MAPE of the improved PSO-BP model were smaller than other models, whereas the R correlation coefficient was larger, confirming its high prediction accuracy. All models had higher prediction accuracy 4 h ahead than 8 h ahead. Combining the time-phased water level prediction method and hybrid machine learning can enhance the water level prediction accuracy of a pumping station pre-station.
{"title":"Water level prediction of pumping station pre-station based on machine learning methods","authors":"Weilin Wang, Gouqing Sang, Qiang Zhao, Longbin Lu","doi":"10.2166/ws.2023.242","DOIUrl":"https://doi.org/10.2166/ws.2023.242","url":null,"abstract":"Abstract Water level prediction is an essential factor for the safe operation of pumping stations. However, due to the complex nonlinear relationship between the water level of the front pool of the pumping station and the influencing factors, the prediction of the water level is still inaccurate and untimely. Backpropagation (BP) neural network, improved particle swarm optimization-BP neural network (PSO-BP), support vector machine regression (SVR), and improved PSO-SVR were used to construct 4-h and 8-h ahead prediction models for pumping station prestation water levels. Mean absolute error, mean squared error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R correlation coefficient were used as prediction evaluation metrics. This method is applied in the Baliwan Pumping Station, the highest pumping station in the South-to-North Water Diversion Eastern Route Project (SNWDERP). The results showed that the MSE, RMSE, and MAPE of the improved PSO-BP model were smaller than other models, whereas the R correlation coefficient was larger, confirming its high prediction accuracy. All models had higher prediction accuracy 4 h ahead than 8 h ahead. Combining the time-phased water level prediction method and hybrid machine learning can enhance the water level prediction accuracy of a pumping station pre-station.","PeriodicalId":23573,"journal":{"name":"Water Science & Technology: Water Supply","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136235514","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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