Determinants of per capita water supply in Indian cities with low surface water availability

Rapid urbanization is putting stress on urban water resources. Cities with inadequate surface water resources import water to meet the needs of a rapidly growing population. Water supply in urban areas is frequently held accountable by local administrative bodies across the world. In India, several...

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Autores principales:	Adithya Bandari, Shubhajit Sadhukhan
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Performance indicator (PI) Performance measurement system (PMS) Service level benchmarks (SLB) Surface water availability Multiple linear regression Correlation matrix Environmental effects of industries and plants TD194-195
Acceso en línea:	https://doaj.org/article/14ff7467aebc41c385da68a24867b814
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spelling	oai:doaj.org-article:14ff7467aebc41c385da68a24867b8142021-11-04T04:42:59ZDeterminants of per capita water supply in Indian cities with low surface water availability2666-789410.1016/j.cesys.2021.100062https://doaj.org/article/14ff7467aebc41c385da68a24867b8142021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666789421000544https://doaj.org/toc/2666-7894Rapid urbanization is putting stress on urban water resources. Cities with inadequate surface water resources import water to meet the needs of a rapidly growing population. Water supply in urban areas is frequently held accountable by local administrative bodies across the world. In India, several Urban Local Bodies (ULBs) import water from long distances. Ministry of Urban Development, Government of India, has devised nine Service Level Benchmarks (SLB) indicators to evaluate the performance of ULBs in water supply management. The present study considered 30 million-plus Indian cities with low surface water availability. The data pertaining to the population, surface water availability, and SLB performance were collected for the selected cities. The data were then used to find the effect of eight SLB performance indicators on the per capita water supply (PCS) indicator using correlation matrices and multiple regression, where PCS is considered as the only dependent variable. The findings indicate that coverage of water supply connections (COV), extent of metering of connections (MTR), extent of non-revenue water (NRW), and continuity of water supply (CNT) have considerable effects on the PCS. The study is helpful for the ULBs and Policymakers to understand the association between PCS and other indicators and make the intervention for an effective urban water supply management.Adithya BandariShubhajit SadhukhanElsevierarticlePerformance indicator (PI)Performance measurement system (PMS)Service level benchmarks (SLB)Surface water availabilityMultiple linear regressionCorrelation matrixEnvironmental effects of industries and plantsTD194-195ENCleaner Environmental Systems, Vol 3, Iss , Pp 100062- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Performance indicator (PI) Performance measurement system (PMS) Service level benchmarks (SLB) Surface water availability Multiple linear regression Correlation matrix Environmental effects of industries and plants TD194-195
spellingShingle	Performance indicator (PI) Performance measurement system (PMS) Service level benchmarks (SLB) Surface water availability Multiple linear regression Correlation matrix Environmental effects of industries and plants TD194-195 Adithya Bandari Shubhajit Sadhukhan Determinants of per capita water supply in Indian cities with low surface water availability
description	Rapid urbanization is putting stress on urban water resources. Cities with inadequate surface water resources import water to meet the needs of a rapidly growing population. Water supply in urban areas is frequently held accountable by local administrative bodies across the world. In India, several Urban Local Bodies (ULBs) import water from long distances. Ministry of Urban Development, Government of India, has devised nine Service Level Benchmarks (SLB) indicators to evaluate the performance of ULBs in water supply management. The present study considered 30 million-plus Indian cities with low surface water availability. The data pertaining to the population, surface water availability, and SLB performance were collected for the selected cities. The data were then used to find the effect of eight SLB performance indicators on the per capita water supply (PCS) indicator using correlation matrices and multiple regression, where PCS is considered as the only dependent variable. The findings indicate that coverage of water supply connections (COV), extent of metering of connections (MTR), extent of non-revenue water (NRW), and continuity of water supply (CNT) have considerable effects on the PCS. The study is helpful for the ULBs and Policymakers to understand the association between PCS and other indicators and make the intervention for an effective urban water supply management.
format	article
author	Adithya Bandari Shubhajit Sadhukhan
author_facet	Adithya Bandari Shubhajit Sadhukhan
author_sort	Adithya Bandari
title	Determinants of per capita water supply in Indian cities with low surface water availability
title_short	Determinants of per capita water supply in Indian cities with low surface water availability
title_full	Determinants of per capita water supply in Indian cities with low surface water availability
title_fullStr	Determinants of per capita water supply in Indian cities with low surface water availability
title_full_unstemmed	Determinants of per capita water supply in Indian cities with low surface water availability
title_sort	determinants of per capita water supply in indian cities with low surface water availability
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/14ff7467aebc41c385da68a24867b814
work_keys_str_mv	AT adithyabandari determinantsofpercapitawatersupplyinindiancitieswithlowsurfacewateravailability AT shubhajitsadhukhan determinantsofpercapitawatersupplyinindiancitieswithlowsurfacewateravailability
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Determinants of per capita water supply in Indian cities with low surface water availability

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