Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)

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Study on grading system of water resources carrying capacity base on grey entropy weight clustering method in Henan

Authors
Dongfan Wang1, 2, Dengming Yan1, 2, Peiying Tan1, 2, *, Han Li1, 2
1Yellow River Engineering Consulting Co., Ltd, Zhengzhou, Henan, 450003, China
2Key Laboratory of Water Management and Water Security for Yellow River Basin, Ministry of Water Resources, Zhengzhou, Henan, 450003, China
*Corresponding author. Email: tanpy1991@163.com
Corresponding Author
Peiying Tan
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-336-8_73How to use a DOI?
Keywords
Water resources carrying capacity; grey entropy weight clustering; influencing factors; Henan province
Abstract

Water resources carrying capacity is an important indicator for evaluating the sustainable use of regional water resource. It is very important to evaluate regional water resources carrying capacity from systemic perspective which was a benefit for scientific management of water resources and protection of regional ecological environment. A water resources carrying capacity grading system was established based on water resource-water ecology-economy and society system. Using grey entropy weight clustering method which could make full use of data information to quantitatively calculate the water resources carrying capacity of Henan Province from 2001 to 2020. The results showed that water resources carrying capacity in Henan was upward trend with the carrying capacity grade rising from class IV to Class I from 2001~2020, which indicates that the water resources carrying capacity had been improved significantly. There were some indicators including total industrial wastewater discharge, urban sewage treatment rate, irrigation water consumption per hectare of farmland and water consumption of ten-thousand-yuan GDP identified as the main influencing factors limiting the improvement of water resources carrying capacity in Henan Province by using obstacle degree function analysis.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)
Series
Advances in Engineering Research
Publication Date
30 December 2023
ISBN
978-94-6463-336-8
ISSN
2352-5401
DOI
10.2991/978-94-6463-336-8_73How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Dongfan Wang
AU  - Dengming Yan
AU  - Peiying Tan
AU  - Han Li
PY  - 2023
DA  - 2023/12/30
TI  - Study on grading system of water resources carrying capacity base on grey entropy weight clustering method in Henan
BT  - Proceedings of the 2023 9th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2023)
PB  - Atlantis Press
SP  - 632
EP  - 640
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-336-8_73
DO  - 10.2991/978-94-6463-336-8_73
ID  - Wang2023
ER  -