Pub Date : 2023-05-24DOI: 10.1080/1573062X.2023.2209549
Rahul Ray Biswas, Raj Sharma, Y. Gyasi‐Agyei, Anisur Rahman
ABSTRACT Understanding the knowledge of climate-change impacts on water-resources is a priority. This article goes a step further with the main objective of this study to explore water-practitioners’ viewpoints regarding the water supply-side and water demand-side management measures in coping with future climatic impacts to achieve urban water security. Interviews were conducted with water-professionals from regional urban water authorities of Queensland, Australia. From a water-practitioner’s viewpoint, surface water is perceived to remain a high-priority water resource for the region, although climate-change is projected to make this resource more vulnerable in the area. Climate-change risks have rarely been considered as a selection-criterion when long-term water solutions were investigated by water-practitioners. Although non-pricing water demand management policies were used to reduce water demand in the region, pricing-based water demand management tools are perceived by the water-professionals to be the most effective at reducing water demand in the study area, if implemented.
{"title":"Urban water security: water supply and demand management strategies in the face of climate change","authors":"Rahul Ray Biswas, Raj Sharma, Y. Gyasi‐Agyei, Anisur Rahman","doi":"10.1080/1573062X.2023.2209549","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209549","url":null,"abstract":"ABSTRACT Understanding the knowledge of climate-change impacts on water-resources is a priority. This article goes a step further with the main objective of this study to explore water-practitioners’ viewpoints regarding the water supply-side and water demand-side management measures in coping with future climatic impacts to achieve urban water security. Interviews were conducted with water-professionals from regional urban water authorities of Queensland, Australia. From a water-practitioner’s viewpoint, surface water is perceived to remain a high-priority water resource for the region, although climate-change is projected to make this resource more vulnerable in the area. Climate-change risks have rarely been considered as a selection-criterion when long-term water solutions were investigated by water-practitioners. Although non-pricing water demand management policies were used to reduce water demand in the region, pricing-based water demand management tools are perceived by the water-professionals to be the most effective at reducing water demand in the study area, if implemented.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"723 - 737"},"PeriodicalIF":2.7,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43804516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-23DOI: 10.1080/1573062X.2023.2216191
Michael Weyns, Ganjour Mazaev, G. Vaes, Filip Vancoillie, F. de Turck, Sofie Van Hoecke, F. Ongenae
ABSTRACT Water loss due to persistent leakages in water distribution networks remains a substantive problem around the world, all the more so given noticeable trends of increasing global water scarcities. In this paper, we present a data-driven leak localization approach leveraging a connected Geographical Information System together with an autoencoder to perform anomaly detection on time-variable sensor data. Data-driven approaches are able to circumvent many of the uncertainty issues associated with model-based approaches, but they usually require significant amounts of high-quality data, reflecting many different leak scenarios, to perform well. Our approach obviates this requirement by relying only on leakless data during model training. We examine the efficacy of this approach on 19 realistic leak experiments conducted in the field. Based on these evaluations, we were able to achieve average search costs as low as 2.2 kilometers, for a total network length of 215 kilometers.
{"title":"Leak localization in water distribution networks using GIS-Enhanced autoencoders","authors":"Michael Weyns, Ganjour Mazaev, G. Vaes, Filip Vancoillie, F. de Turck, Sofie Van Hoecke, F. Ongenae","doi":"10.1080/1573062X.2023.2216191","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2216191","url":null,"abstract":"ABSTRACT Water loss due to persistent leakages in water distribution networks remains a substantive problem around the world, all the more so given noticeable trends of increasing global water scarcities. In this paper, we present a data-driven leak localization approach leveraging a connected Geographical Information System together with an autoencoder to perform anomaly detection on time-variable sensor data. Data-driven approaches are able to circumvent many of the uncertainty issues associated with model-based approaches, but they usually require significant amounts of high-quality data, reflecting many different leak scenarios, to perform well. Our approach obviates this requirement by relying only on leakless data during model training. We examine the efficacy of this approach on 19 realistic leak experiments conducted in the field. Based on these evaluations, we were able to achieve average search costs as low as 2.2 kilometers, for a total network length of 215 kilometers.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"859 - 881"},"PeriodicalIF":2.7,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41460397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-19DOI: 10.1080/1573062X.2023.2209063
S. M. Jafari, M. Nikoo, O. Bozorg‐Haddad, N. Alamdari, R. Farmani, A. Gandomi
ABSTRACT Water distribution networks (WDNs) face serious management challenges due to the high investment necessity for pipe maintenance and high performance as well as the uncertainties of input variables. To address these challenges, this study aims to prepare and implement the optimal instructions for pipe replacement with maximum hydraulic performance, minimum cost, and minimum uncertainty. Herein, a robust clustering multi-objective (RCMO) approach is developed by combining five models, including hydraulic simulation, multi-objective optimization, pipe failure rate prediction, non-linear interval programming, and multi-criteria decision-making. In this procedure, a clustering method is implemented to reduce the uncertain scenarios of the multi-objective optimization. The new approach is applied to a WDN in Gorgan, Iran. Implementing the optimal instruction increases the network’s physical and hydraulic performance by 56% and 35%, respectively, and decreases the annual deficit of nodes’ demand between 69% and 93%. Also, the proposed methodology reduces the optimization run time by about 99%.
{"title":"A robust clustering-based multi-objective model for optimal instruction of pipes replacement in urban WDN based on machine learning approaches","authors":"S. M. Jafari, M. Nikoo, O. Bozorg‐Haddad, N. Alamdari, R. Farmani, A. Gandomi","doi":"10.1080/1573062X.2023.2209063","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209063","url":null,"abstract":"ABSTRACT Water distribution networks (WDNs) face serious management challenges due to the high investment necessity for pipe maintenance and high performance as well as the uncertainties of input variables. To address these challenges, this study aims to prepare and implement the optimal instructions for pipe replacement with maximum hydraulic performance, minimum cost, and minimum uncertainty. Herein, a robust clustering multi-objective (RCMO) approach is developed by combining five models, including hydraulic simulation, multi-objective optimization, pipe failure rate prediction, non-linear interval programming, and multi-criteria decision-making. In this procedure, a clustering method is implemented to reduce the uncertain scenarios of the multi-objective optimization. The new approach is applied to a WDN in Gorgan, Iran. Implementing the optimal instruction increases the network’s physical and hydraulic performance by 56% and 35%, respectively, and decreases the annual deficit of nodes’ demand between 69% and 93%. Also, the proposed methodology reduces the optimization run time by about 99%.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"689 - 706"},"PeriodicalIF":2.7,"publicationDate":"2023-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49219122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-17DOI: 10.1080/1573062X.2023.2209559
Arizaldo Enriquez Castro, M. C. M. Obusan
ABSTRACT Microbial and chemical qualities of drinking water and freshwater bodies in highly urbanized regions of developing countries remain as global knowledge gaps. This current scoping review addressed this issue in the case of Mega Manila, Philippines. Quantitative and qualitative analyses of literature were done to support syntheses and identify gaps in water quality monitoring and management. The microbial quality of freshwater bodies and drinking water within the region is indicated by the detected microbial communities, bacterial species, and genetic elements associated with drug resistance, through culture-dependent and -independent approaches. Heavy metals were found to contaminate freshwater bodies but were absent in the drinking water supply. Overall, our findings highlight the need for harmonizing monitoring tools and data to assess water safety. Outside Mega Manila, freshwater bodies and drinking water supply must be monitored. Research focusing on environmental and public health as impacted by drinking water and resources must also be prioritized.
{"title":"Microbial quality and emerging pollutants in freshwater systems of Mega Manila, Philippines: a scoping review","authors":"Arizaldo Enriquez Castro, M. C. M. Obusan","doi":"10.1080/1573062X.2023.2209559","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209559","url":null,"abstract":"ABSTRACT Microbial and chemical qualities of drinking water and freshwater bodies in highly urbanized regions of developing countries remain as global knowledge gaps. This current scoping review addressed this issue in the case of Mega Manila, Philippines. Quantitative and qualitative analyses of literature were done to support syntheses and identify gaps in water quality monitoring and management. The microbial quality of freshwater bodies and drinking water within the region is indicated by the detected microbial communities, bacterial species, and genetic elements associated with drug resistance, through culture-dependent and -independent approaches. Heavy metals were found to contaminate freshwater bodies but were absent in the drinking water supply. Overall, our findings highlight the need for harmonizing monitoring tools and data to assess water safety. Outside Mega Manila, freshwater bodies and drinking water supply must be monitored. Research focusing on environmental and public health as impacted by drinking water and resources must also be prioritized.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"639 - 651"},"PeriodicalIF":2.7,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60004921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-15DOI: 10.1080/1573062X.2023.2209065
Anupom Halder, N. Majed
ABSTRACT The capital city of Bangladesh, Dhaka, faces several challenges including significant rainwater congestion. With the holistic depiction of the current status, this study quantified rainfall, estimated land cover change and analyzed the drainage system in the western part of Dhaka. Statistical analysis and logarithmic graph fitting methods were used to develop a strong correlation between short-duration and daily rainfall. Land cover maps from 1990 to 2020 were generated using supervised classification in ERDAS IMAGINE, and the future land cover was predicted using the Terrset software with the CA Markov method. This research found that the build-up region increased by about 70% during the last 30 years while about 15.64 km2 of wetland was encroached during the past 15 years leading to the failure of existing drainage network. The assessment of rainfall demonstrated that the extreme events aggravated the issue. Restoration of natural canals is required for activating proper drainage system in the city.
{"title":"The effects of unplanned land use and heavy seasonal rainfall on the storm-water drainage in Dhaka metropolitan city of Bangladesh","authors":"Anupom Halder, N. Majed","doi":"10.1080/1573062X.2023.2209065","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209065","url":null,"abstract":"ABSTRACT The capital city of Bangladesh, Dhaka, faces several challenges including significant rainwater congestion. With the holistic depiction of the current status, this study quantified rainfall, estimated land cover change and analyzed the drainage system in the western part of Dhaka. Statistical analysis and logarithmic graph fitting methods were used to develop a strong correlation between short-duration and daily rainfall. Land cover maps from 1990 to 2020 were generated using supervised classification in ERDAS IMAGINE, and the future land cover was predicted using the Terrset software with the CA Markov method. This research found that the build-up region increased by about 70% during the last 30 years while about 15.64 km2 of wetland was encroached during the past 15 years leading to the failure of existing drainage network. The assessment of rainfall demonstrated that the extreme events aggravated the issue. Restoration of natural canals is required for activating proper drainage system in the city.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"707 - 722"},"PeriodicalIF":2.7,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46252882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-11DOI: 10.1080/1573062X.2023.2205388
C. R. Fonseca, L.C. Tiria Sandoval, F.I Gordillo-Bartolo, D. Delgado-Hernández, F. A. González
ABSTRACT Reliability analysis is usually required as input for feasibility assessments of rainwater harvesting (RWH) systems. This study introduces the concept of elasticity between the volumetric reliability and a cost function to optimize the storage capacity. The elasticity was estimated for three tanks at a campus of the Universidad de Santander, Colombia; by means of a daily water balance under specific conditions of demand (non-potable uses), infrastructure (area and coverage of surface), and climatic variability. This method showed that, the average expected efficiency ranges from 29% to 58% with tanks of 60 m3. These values are 7–10% lower than those expected just from the water balance, but the size of tanks decreases by up to 53%. Therefore, the present method allows not only a comparison between expected efficiencies from average estimations with the optimization from daily water balance, but also with that estimated in conjunction with costs.
{"title":"Design of rainwater harvesting storage through efficiency and cost elasticity: case study Santander University","authors":"C. R. Fonseca, L.C. Tiria Sandoval, F.I Gordillo-Bartolo, D. Delgado-Hernández, F. A. González","doi":"10.1080/1573062X.2023.2205388","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2205388","url":null,"abstract":"ABSTRACT Reliability analysis is usually required as input for feasibility assessments of rainwater harvesting (RWH) systems. This study introduces the concept of elasticity between the volumetric reliability and a cost function to optimize the storage capacity. The elasticity was estimated for three tanks at a campus of the Universidad de Santander, Colombia; by means of a daily water balance under specific conditions of demand (non-potable uses), infrastructure (area and coverage of surface), and climatic variability. This method showed that, the average expected efficiency ranges from 29% to 58% with tanks of 60 m3. These values are 7–10% lower than those expected just from the water balance, but the size of tanks decreases by up to 53%. Therefore, the present method allows not only a comparison between expected efficiencies from average estimations with the optimization from daily water balance, but also with that estimated in conjunction with costs.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"592 - 603"},"PeriodicalIF":2.7,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45482423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-10DOI: 10.1080/1573062X.2023.2209561
M. Mohammadi, M. Salarijazi, K. Ghorbani, A. Dehghani
ABSTRACT This study investigates the accuracy of the experimental models in two standard and optimized cases using data from meteorological stations located on the northern and southern coasts of Iran. The results show that the spatial distribution / different hydrometeorological conditions are quite effective in the accuracy of the models. However, KNF and Papadakis lead to the most accurate estimation among the standard models. The optimization significantly increases all models' accuracy except Papadakis, indicating its remarkable robustness in coastal cities. Comparison between all models demonstrates that the Linacre-1994 optimal model has the best accuracy. Findings reveal that wind speed is the second variable affecting pan evaporation in coastal cities after the vapor pressure deficit. In addition, the form of wind speed inclusion in the Trabert model significantly affects its inaccuracy. Elevation and latitude variables do not affect estimating pan evaporation in coastal cities considering optimization findings.
{"title":"Coastal cities-wide estimation of daily class A pan evaporation from few hydrometeorological variables","authors":"M. Mohammadi, M. Salarijazi, K. Ghorbani, A. Dehghani","doi":"10.1080/1573062X.2023.2209561","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209561","url":null,"abstract":"ABSTRACT This study investigates the accuracy of the experimental models in two standard and optimized cases using data from meteorological stations located on the northern and southern coasts of Iran. The results show that the spatial distribution / different hydrometeorological conditions are quite effective in the accuracy of the models. However, KNF and Papadakis lead to the most accurate estimation among the standard models. The optimization significantly increases all models' accuracy except Papadakis, indicating its remarkable robustness in coastal cities. Comparison between all models demonstrates that the Linacre-1994 optimal model has the best accuracy. Findings reveal that wind speed is the second variable affecting pan evaporation in coastal cities after the vapor pressure deficit. In addition, the form of wind speed inclusion in the Trabert model significantly affects its inaccuracy. Elevation and latitude variables do not affect estimating pan evaporation in coastal cities considering optimization findings.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"782 - 800"},"PeriodicalIF":2.7,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42103053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-09DOI: 10.1080/1573062X.2023.2208107
Afshin Sadeghikhah, Ehtesham Ahmed, S. Chakraborty, Stefan Trülzsch, Peter Krebs
ABSTRACT A decentralized, and sustainable sewer inspection plan at the city scale demands multiple inspection methods with different areas of impact. While sewer deterioration models offer great areas of impact, spatial mapping can assess the vulnerability of the system without prior knowledge of the pipe’s structural health condition. In this study, we assess and prioritize sewer deterioration factors such as pipe age, material, sewer type, node degree, flow velocity, and surface vegetation for vulnerability hotspot mapping of a sewer system in Dresden, Germany. The validation and sensitivity analyses revealed that flow velocity, pipe age, and surface vegetation are the most sensible factors to model, respectively. The linear model resulted in 76% efficiency and a mean squared error of 0.918 while it was improved with a random forest algorithm which points out vulnerability mapping potential as an early sewer inspection method at the city scale.
{"title":"Vulnerability hotspot mapping (VHM) of sewer pipes based on deterioration factors","authors":"Afshin Sadeghikhah, Ehtesham Ahmed, S. Chakraborty, Stefan Trülzsch, Peter Krebs","doi":"10.1080/1573062X.2023.2208107","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2208107","url":null,"abstract":"ABSTRACT A decentralized, and sustainable sewer inspection plan at the city scale demands multiple inspection methods with different areas of impact. While sewer deterioration models offer great areas of impact, spatial mapping can assess the vulnerability of the system without prior knowledge of the pipe’s structural health condition. In this study, we assess and prioritize sewer deterioration factors such as pipe age, material, sewer type, node degree, flow velocity, and surface vegetation for vulnerability hotspot mapping of a sewer system in Dresden, Germany. The validation and sensitivity analyses revealed that flow velocity, pipe age, and surface vegetation are the most sensible factors to model, respectively. The linear model resulted in 76% efficiency and a mean squared error of 0.918 while it was improved with a random forest algorithm which points out vulnerability mapping potential as an early sewer inspection method at the city scale.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"677 - 688"},"PeriodicalIF":2.7,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42466198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-09DOI: 10.1080/1573062X.2023.2211053
Duban A. Paternina-Verona, Luis C. Flórez-Acero, Ó. E. Coronado-Hernández, Héctor G. Espinoza-Román, V. S. Fuertes-Miquel, H. Ramos
ABSTRACT This study examines the impact of sub-atmospheric pressures in water pipelines during emptying manoeuvres with air admitted. Previous research has looked at this issue but has not studied it in detail. This research presents a two-dimensional model using the OpenFOAM software to analyse different emptying manoeuvres in a single pipeline with entrapped air. The results show the sensitivity of the ball valve opening percentage, which show that absolute pressure drop can reduce to 23% for each 5% of ball valve opening percentage. The influence of the size of the entrapped air pocket and different air-admission orifices was also analysed. The numerical model showed that the selection of the percentage and times of opening drainage valves in pipelines with air-admission orifices is crucial in controlling sub-atmospheric pressure conditions. Finally, this study demonstrates the ability of the two-dimensional model to show the sensitivity of hydraulic drainage parameters in pipelines with entrapped air.
{"title":"Two-dimensional simulation of emptying manoeuvres in water pipelines with admitted air","authors":"Duban A. Paternina-Verona, Luis C. Flórez-Acero, Ó. E. Coronado-Hernández, Héctor G. Espinoza-Román, V. S. Fuertes-Miquel, H. Ramos","doi":"10.1080/1573062X.2023.2211053","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2211053","url":null,"abstract":"ABSTRACT This study examines the impact of sub-atmospheric pressures in water pipelines during emptying manoeuvres with air admitted. Previous research has looked at this issue but has not studied it in detail. This research presents a two-dimensional model using the OpenFOAM software to analyse different emptying manoeuvres in a single pipeline with entrapped air. The results show the sensitivity of the ball valve opening percentage, which show that absolute pressure drop can reduce to 23% for each 5% of ball valve opening percentage. The influence of the size of the entrapped air pocket and different air-admission orifices was also analysed. The numerical model showed that the selection of the percentage and times of opening drainage valves in pipelines with air-admission orifices is crucial in controlling sub-atmospheric pressure conditions. Finally, this study demonstrates the ability of the two-dimensional model to show the sensitivity of hydraulic drainage parameters in pipelines with entrapped air.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"801 - 812"},"PeriodicalIF":2.7,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42847849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-08DOI: 10.1080/1573062X.2023.2209558
Kalaivanan K, Vellingiri J
ABSTRACT Recently, water contamination has become a major problem in developing countries due to urbanization and population growth, leading to an increase in morbidity and mortality rates.Therefore, accurate water quality prediction is crucial in the urban water supply system. In this work, we developed a prediction model based on Extreme Gradient Boosting (XGB) using a hybrid feature selection approach combining Lion Swarm Optimization (LSO) and Bald Eagle Search (BES). The proposed method LSO-BES-XGB consists of three steps: preprocessing, feature selection, and classification.Z-score normalization helps fill in missing data values by scaling to indicate the number of standard deviations from the mean. LSO-BES Feature selection identifies relevant features, and the XGB classifier determines whether the water is normal or contaminated. The LSO-BES-XGB model was applied to the Cauvery River data set and achieved 94.22% accuracy, 93.12% precision, 94.23% recall, and 92.45%.
{"title":"A meta heuristic optimization algorithm (Lion-BES-XGB) for water quality prediction","authors":"Kalaivanan K, Vellingiri J","doi":"10.1080/1573062X.2023.2209558","DOIUrl":"https://doi.org/10.1080/1573062X.2023.2209558","url":null,"abstract":"ABSTRACT Recently, water contamination has become a major problem in developing countries due to urbanization and population growth, leading to an increase in morbidity and mortality rates.Therefore, accurate water quality prediction is crucial in the urban water supply system. In this work, we developed a prediction model based on Extreme Gradient Boosting (XGB) using a hybrid feature selection approach combining Lion Swarm Optimization (LSO) and Bald Eagle Search (BES). The proposed method LSO-BES-XGB consists of three steps: preprocessing, feature selection, and classification.Z-score normalization helps fill in missing data values by scaling to indicate the number of standard deviations from the mean. LSO-BES Feature selection identifies relevant features, and the XGB classifier determines whether the water is normal or contaminated. The LSO-BES-XGB model was applied to the Cauvery River data set and achieved 94.22% accuracy, 93.12% precision, 94.23% recall, and 92.45%.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"751 - 762"},"PeriodicalIF":2.7,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41399314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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