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Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province

Water security is not only an ecological environmental issue but also a bearing on national security and development. The study of water resources carrying capacity is the basis for future socioeconomic development and is the driving force for social progress. Therefore, it is important to investiga...

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Autores principales: Yan, Lyu, Jiao, Dong, Yongshi, Zhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439155/
https://www.ncbi.nlm.nih.gov/pubmed/37596286
http://dx.doi.org/10.1038/s41598-023-40487-w
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author Yan, Lyu
Jiao, Dong
Yongshi, Zhan
author_facet Yan, Lyu
Jiao, Dong
Yongshi, Zhan
author_sort Yan, Lyu
collection PubMed
description Water security is not only an ecological environmental issue but also a bearing on national security and development. The study of water resources carrying capacity is the basis for future socioeconomic development and is the driving force for social progress. Therefore, it is important to investigate the influence factors of regional and national water resources carrying capacity (WRCC) and predict the future trend development. In view of the regional water resources data of the past 10 years in Anhui province, China, the Driving force Pressure State Impact Response Management (DPSIRM) model framework is constructed and the entropy weight method and variable weight theory can be used to make a comprehensive evaluation of the WRCC. Based on the comprehensive evaluation value, a modified Grey-Markov combination forecast can be introduced to predict the local WRCC in the coming years. The study on account of the Anhui Statistical Yearbook, the Water Resources Bulletin, and the water resources data of the Forestry Bureau for the past 10 years shows that the WRCC of Anhui Province is weak from 2010 to 2013 and gradually strengthens from 2014 to 2019; the WRCC of Anhui Province is mainly correlated with the impact subsystem, the management subsystem, and the state subsystem. The combined projections reflect that the future WRCC of Anhui Province is in good condition. It is recommended that the Anhui provincial government should strengthen water security and management, improve water resources utilization techniques, and construct complete and effective management tools and measures to fundamentally safeguard the province's water resources security and improve the WRCC.
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spelling pubmed-104391552023-08-20 Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province Yan, Lyu Jiao, Dong Yongshi, Zhan Sci Rep Article Water security is not only an ecological environmental issue but also a bearing on national security and development. The study of water resources carrying capacity is the basis for future socioeconomic development and is the driving force for social progress. Therefore, it is important to investigate the influence factors of regional and national water resources carrying capacity (WRCC) and predict the future trend development. In view of the regional water resources data of the past 10 years in Anhui province, China, the Driving force Pressure State Impact Response Management (DPSIRM) model framework is constructed and the entropy weight method and variable weight theory can be used to make a comprehensive evaluation of the WRCC. Based on the comprehensive evaluation value, a modified Grey-Markov combination forecast can be introduced to predict the local WRCC in the coming years. The study on account of the Anhui Statistical Yearbook, the Water Resources Bulletin, and the water resources data of the Forestry Bureau for the past 10 years shows that the WRCC of Anhui Province is weak from 2010 to 2013 and gradually strengthens from 2014 to 2019; the WRCC of Anhui Province is mainly correlated with the impact subsystem, the management subsystem, and the state subsystem. The combined projections reflect that the future WRCC of Anhui Province is in good condition. It is recommended that the Anhui provincial government should strengthen water security and management, improve water resources utilization techniques, and construct complete and effective management tools and measures to fundamentally safeguard the province's water resources security and improve the WRCC. Nature Publishing Group UK 2023-08-18 /pmc/articles/PMC10439155/ /pubmed/37596286 http://dx.doi.org/10.1038/s41598-023-40487-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yan, Lyu
Jiao, Dong
Yongshi, Zhan
Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title_full Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title_fullStr Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title_full_unstemmed Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title_short Evaluation of regional water resources carrying capacity in China based on variable weight model and grey-markov model: a case study of Anhui province
title_sort evaluation of regional water resources carrying capacity in china based on variable weight model and grey-markov model: a case study of anhui province
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439155/
https://www.ncbi.nlm.nih.gov/pubmed/37596286
http://dx.doi.org/10.1038/s41598-023-40487-w
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