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A novel objective for improving the sustainability of water supply system regarding hydrological response
In general, the sustainability of the water supply system is indicative of an adaptive operational approach, wherein the decision-maker adjusts the system’s performance based on the availability of water resources in a given time frame. In light of this, a novel framework is proposed in this study t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688848/ https://www.ncbi.nlm.nih.gov/pubmed/38033101 http://dx.doi.org/10.1371/journal.pone.0294578 |
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author | Moudi, Mahdi Gai, Qiuyan Yuan, He Guiqing, Li Basirialmahjough, Mahdi Motamedi, Artemis Galoie, Majid |
author_facet | Moudi, Mahdi Gai, Qiuyan Yuan, He Guiqing, Li Basirialmahjough, Mahdi Motamedi, Artemis Galoie, Majid |
author_sort | Moudi, Mahdi |
collection | PubMed |
description | In general, the sustainability of the water supply system is indicative of an adaptive operational approach, wherein the decision-maker adjusts the system’s performance based on the availability of water resources in a given time frame. In light of this, a novel framework is proposed in this study to evaluate sustainability, including three key indicators: resilience, reliability, and vulnerability. To address stressors that may lead to system failure, a multisectoral water allocation optimization is undertaken. In order to account for the future implications of climate change on the hydrological cycle, a simulation step, is incorporated, utilizing the Soil and Water Assessment Tool (SWAT) under various emission scenarios (RCP4.5 and RCP8.5), prior to integrating the streamflow data into our proposed optimal framework. To calibrate and validate historical data (2014–2019) and simulate future streamflow patterns (2025–2085), the Sistan Basin, located in an arid region of Iran, is analyzed as a case study. In light of the anticipated adverse impacts on the water supply system, certain adaptation measures, such as demand shrinkage scenarios, are considered to further appraise the proposed framework. Based on the final output, it is evident that the agricultural and industrial sectors, being the primary water consumers, are more susceptible to negative impacts resulting from the reduction in system sustainability. This susceptibility is primarily attributed to their highest vulnerability and comparatively lower reliability. |
format | Online Article Text |
id | pubmed-10688848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106888482023-12-01 A novel objective for improving the sustainability of water supply system regarding hydrological response Moudi, Mahdi Gai, Qiuyan Yuan, He Guiqing, Li Basirialmahjough, Mahdi Motamedi, Artemis Galoie, Majid PLoS One Research Article In general, the sustainability of the water supply system is indicative of an adaptive operational approach, wherein the decision-maker adjusts the system’s performance based on the availability of water resources in a given time frame. In light of this, a novel framework is proposed in this study to evaluate sustainability, including three key indicators: resilience, reliability, and vulnerability. To address stressors that may lead to system failure, a multisectoral water allocation optimization is undertaken. In order to account for the future implications of climate change on the hydrological cycle, a simulation step, is incorporated, utilizing the Soil and Water Assessment Tool (SWAT) under various emission scenarios (RCP4.5 and RCP8.5), prior to integrating the streamflow data into our proposed optimal framework. To calibrate and validate historical data (2014–2019) and simulate future streamflow patterns (2025–2085), the Sistan Basin, located in an arid region of Iran, is analyzed as a case study. In light of the anticipated adverse impacts on the water supply system, certain adaptation measures, such as demand shrinkage scenarios, are considered to further appraise the proposed framework. Based on the final output, it is evident that the agricultural and industrial sectors, being the primary water consumers, are more susceptible to negative impacts resulting from the reduction in system sustainability. This susceptibility is primarily attributed to their highest vulnerability and comparatively lower reliability. Public Library of Science 2023-11-30 /pmc/articles/PMC10688848/ /pubmed/38033101 http://dx.doi.org/10.1371/journal.pone.0294578 Text en © 2023 Moudi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Moudi, Mahdi Gai, Qiuyan Yuan, He Guiqing, Li Basirialmahjough, Mahdi Motamedi, Artemis Galoie, Majid A novel objective for improving the sustainability of water supply system regarding hydrological response |
title | A novel objective for improving the sustainability of water supply system regarding hydrological response |
title_full | A novel objective for improving the sustainability of water supply system regarding hydrological response |
title_fullStr | A novel objective for improving the sustainability of water supply system regarding hydrological response |
title_full_unstemmed | A novel objective for improving the sustainability of water supply system regarding hydrological response |
title_short | A novel objective for improving the sustainability of water supply system regarding hydrological response |
title_sort | novel objective for improving the sustainability of water supply system regarding hydrological response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10688848/ https://www.ncbi.nlm.nih.gov/pubmed/38033101 http://dx.doi.org/10.1371/journal.pone.0294578 |
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