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Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting

A safe rural domestic water supply project has been initiated based on different consumption uses. Long-term computation method and the water balance principle are used to analyze the yearly water demand. Water supply and demand balance is achieved through regulated planning of the rainwater collect...

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Detalles Bibliográficos
Autores principales: Jin, Yan-Zhao, Zhou, Lu-Wen, Lo, Kwong Fai Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314005/
https://www.ncbi.nlm.nih.gov/pubmed/30558179
http://dx.doi.org/10.3390/ijerph15122864
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author Jin, Yan-Zhao
Zhou, Lu-Wen
Lo, Kwong Fai Andrew
author_facet Jin, Yan-Zhao
Zhou, Lu-Wen
Lo, Kwong Fai Andrew
author_sort Jin, Yan-Zhao
collection PubMed
description A safe rural domestic water supply project has been initiated based on different consumption uses. Long-term computation method and the water balance principle are used to analyze the yearly water demand. Water supply and demand balance is achieved through regulated planning of the rainwater collection surface area and water storage capacity. The best combination of collection area and storage capacity is then determined for various rainfall zones in order to satisfy safe domestic water needs. Ultimately, an optimum matching model is developed to utilize rainwater harvesting for providing safe domestic water in rural areas.
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spelling pubmed-63140052019-06-17 Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting Jin, Yan-Zhao Zhou, Lu-Wen Lo, Kwong Fai Andrew Int J Environ Res Public Health Article A safe rural domestic water supply project has been initiated based on different consumption uses. Long-term computation method and the water balance principle are used to analyze the yearly water demand. Water supply and demand balance is achieved through regulated planning of the rainwater collection surface area and water storage capacity. The best combination of collection area and storage capacity is then determined for various rainfall zones in order to satisfy safe domestic water needs. Ultimately, an optimum matching model is developed to utilize rainwater harvesting for providing safe domestic water in rural areas. MDPI 2018-12-14 2018-12 /pmc/articles/PMC6314005/ /pubmed/30558179 http://dx.doi.org/10.3390/ijerph15122864 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jin, Yan-Zhao
Zhou, Lu-Wen
Lo, Kwong Fai Andrew
Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title_full Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title_fullStr Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title_full_unstemmed Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title_short Optimum Matching Model Using Long-Term Computing on Safer Rural Domestic Water Supply Based on Rainwater Harvesting
title_sort optimum matching model using long-term computing on safer rural domestic water supply based on rainwater harvesting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6314005/
https://www.ncbi.nlm.nih.gov/pubmed/30558179
http://dx.doi.org/10.3390/ijerph15122864
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