R. K. Pongiannan, R. Brindha, A. Geetha, K. Ganesan, M. JayeKumar, Telugu Maddileti, K. Preethivarshni
{"title":"Implementation of an intelligence drinking water supply system using GIS mapping and smart metering for reliable water supply management","authors":"R. K. Pongiannan, R. Brindha, A. Geetha, K. Ganesan, M. JayeKumar, Telugu Maddileti, K. Preethivarshni","doi":"10.2166/aqua.2024.179","DOIUrl":null,"url":null,"abstract":"\n \n The demand for water resources has increased due to population growth and the effects of cyclical droughts on irrigated agriculture. Due to these current circumstances, there is an imbalance between the limited supply of water and the rising demand for water. According to this perspective, accurate data on the spatial and temporal patterns of stockholder water demand can only be obtained through effective water planning and management. Geographic information system (GIS) mapping and smart metering are being used to implement intelligent water supply systems for dependable water supply management. In water supply systems, GIS models aid in data comprehension, analysis, and querying using advanced technologies that can significantly enhance work in the field of urban planning. They can be utilised as analytical tools and significantly improve the skills of researchers and professionals who are tasked with looking into different water management options.","PeriodicalId":513288,"journal":{"name":"AQUA — Water Infrastructure, Ecosystems and Society","volume":"33 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AQUA — Water Infrastructure, Ecosystems and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/aqua.2024.179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The demand for water resources has increased due to population growth and the effects of cyclical droughts on irrigated agriculture. Due to these current circumstances, there is an imbalance between the limited supply of water and the rising demand for water. According to this perspective, accurate data on the spatial and temporal patterns of stockholder water demand can only be obtained through effective water planning and management. Geographic information system (GIS) mapping and smart metering are being used to implement intelligent water supply systems for dependable water supply management. In water supply systems, GIS models aid in data comprehension, analysis, and querying using advanced technologies that can significantly enhance work in the field of urban planning. They can be utilised as analytical tools and significantly improve the skills of researchers and professionals who are tasked with looking into different water management options.