{"title":"预测印度金奈土地利用/覆盖变化及其对地下水补给的影响:可持续城市发展的建议","authors":"Puthan Veettil Razi Sadath, Lakshmanan Elango, Mariappan Rinisha Kartheeshwari, Lingaiah Keerthan","doi":"10.1080/1573062x.2023.2258858","DOIUrl":null,"url":null,"abstract":"ABSTRACTLand use/cover (LULC) changes significantly impact various environmental and social factors. In this study, we used a hybrid model that integrates Multi-Layer Perceptron-Markov Chain Analysis to forecast changes in LULC of Chennai city and its surrounding area until the year 2101. We also evaluated the impact of these changes on groundwater recharge potential zones (RPZ) and suggested policy recommendations for better urban planning. Our results indicate a rapid increase in built-up areas (238 km2/decade) and a corresponding decrease in agricultural lands (167 km2/decade), with a continuous reduction in the area occupied by the waterbodies (15 km2/decade). Furthermore, the estimated changes in RPZ demonstrate a decline in high recharge potential areas, emphasizing the need for effective policies to enhance groundwater recharge. The study provides insights into sustainable urban development. We recommended policies for promoting green urban spaces to mitigate LULC impacts on groundwater recharge.KEYWORDS: LULCurbanizationweighed overlay analysisrecharge potentialANNMLP-MCA AcknowledgementsWe thank the Department of Science and Technology, Government of India (Grand No: DST/TM/WTI/WIC/2K17/82(G)) for financial support. We also thank WRIS, India for providing LULC data.Disclosure statementNo potential conflict of interest was reported by the author(s).Author’s contributionLE: conceptualized the idea of this study. PVRS: collected, analyzed and interpreted the data. MRK: interpreted LULC changes. LK: interpreted RPZ changes. All authors were involved in writing and approval of the final manuscript.Availability of data and materialsAll data collected, generated, and analyzed in this study are available upon request per ethical guidelines and permission of the funding agency.Additional informationFundingThe authors thank the Department of Science and Technology, Government of India [Grand No: DST/TM/WTI/WIC/2K17/82(G)] for financial support.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"46 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting land use/cover changes and their influence on groundwater recharge in Chennai, India: Recommendations for sustainable urban development\",\"authors\":\"Puthan Veettil Razi Sadath, Lakshmanan Elango, Mariappan Rinisha Kartheeshwari, Lingaiah Keerthan\",\"doi\":\"10.1080/1573062x.2023.2258858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTLand use/cover (LULC) changes significantly impact various environmental and social factors. In this study, we used a hybrid model that integrates Multi-Layer Perceptron-Markov Chain Analysis to forecast changes in LULC of Chennai city and its surrounding area until the year 2101. We also evaluated the impact of these changes on groundwater recharge potential zones (RPZ) and suggested policy recommendations for better urban planning. Our results indicate a rapid increase in built-up areas (238 km2/decade) and a corresponding decrease in agricultural lands (167 km2/decade), with a continuous reduction in the area occupied by the waterbodies (15 km2/decade). Furthermore, the estimated changes in RPZ demonstrate a decline in high recharge potential areas, emphasizing the need for effective policies to enhance groundwater recharge. The study provides insights into sustainable urban development. We recommended policies for promoting green urban spaces to mitigate LULC impacts on groundwater recharge.KEYWORDS: LULCurbanizationweighed overlay analysisrecharge potentialANNMLP-MCA AcknowledgementsWe thank the Department of Science and Technology, Government of India (Grand No: DST/TM/WTI/WIC/2K17/82(G)) for financial support. We also thank WRIS, India for providing LULC data.Disclosure statementNo potential conflict of interest was reported by the author(s).Author’s contributionLE: conceptualized the idea of this study. PVRS: collected, analyzed and interpreted the data. MRK: interpreted LULC changes. LK: interpreted RPZ changes. 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Forecasting land use/cover changes and their influence on groundwater recharge in Chennai, India: Recommendations for sustainable urban development
ABSTRACTLand use/cover (LULC) changes significantly impact various environmental and social factors. In this study, we used a hybrid model that integrates Multi-Layer Perceptron-Markov Chain Analysis to forecast changes in LULC of Chennai city and its surrounding area until the year 2101. We also evaluated the impact of these changes on groundwater recharge potential zones (RPZ) and suggested policy recommendations for better urban planning. Our results indicate a rapid increase in built-up areas (238 km2/decade) and a corresponding decrease in agricultural lands (167 km2/decade), with a continuous reduction in the area occupied by the waterbodies (15 km2/decade). Furthermore, the estimated changes in RPZ demonstrate a decline in high recharge potential areas, emphasizing the need for effective policies to enhance groundwater recharge. The study provides insights into sustainable urban development. We recommended policies for promoting green urban spaces to mitigate LULC impacts on groundwater recharge.KEYWORDS: LULCurbanizationweighed overlay analysisrecharge potentialANNMLP-MCA AcknowledgementsWe thank the Department of Science and Technology, Government of India (Grand No: DST/TM/WTI/WIC/2K17/82(G)) for financial support. We also thank WRIS, India for providing LULC data.Disclosure statementNo potential conflict of interest was reported by the author(s).Author’s contributionLE: conceptualized the idea of this study. PVRS: collected, analyzed and interpreted the data. MRK: interpreted LULC changes. LK: interpreted RPZ changes. All authors were involved in writing and approval of the final manuscript.Availability of data and materialsAll data collected, generated, and analyzed in this study are available upon request per ethical guidelines and permission of the funding agency.Additional informationFundingThe authors thank the Department of Science and Technology, Government of India [Grand No: DST/TM/WTI/WIC/2K17/82(G)] for financial support.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...