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Water Security Assessment of Chenzhou City, Hunan Province Based on Combined Weight and Cloud Model
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Dong SHENG1, Xing-yi XU1, Lei ZHAO2, Lei XU2, Yuan-kun WANG2
Water Resources and Power | 2026, 44(1) : 42 - 47
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Water Resources and Power | 2026, 44(1): 42-47
Water Security Assessment of Chenzhou City, Hunan Province Based on Combined Weight and Cloud Model
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Dong SHENG1, Xing-yi XU1, Lei ZHAO2, Lei XU2, Yuan-kun WANG2
Affiliations
  • 1.Hunan Institute of Water Resources and Hydropower Research, Changsha 410007, China
  • 2.School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
Published: 2026-01-25 doi: 10.20040/j.cnki.1000-7709.2026.20250380
Outline
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To address the shortcomings of existing water safety evaluation methods in terms of scientific indicator selection and accurate weight allocation, this study focuses on the optimal selection of indicators and optimization of weight assignment, starting from five aspects of flood control, drinking water, water use, river and lake ecology, and socio-economic security. The key indicators are selected through correlation analysis, principal component analysis, and information sensitivity analysis. The combined weight method, integrating entropy weight method, analytic hierarchy process, projection pursuit model, and cloud model, is used to solve the indicator weights, which are then optimized by simulated annealing. Finally, the cloud model is employed for comprehensive evaluation, with an application case in Chenzhou City, Hunan Province. The results show that the indicator optimization identified 22 key indicators, including industrial recycled water rate and per capita water resource availability; The correlation between the weights obtained by the simulated annealing algorithm and indicator information sensitivity is the highest (R2=0.744 2), indicating a more reasonable weight distribution; The water safety status of Chenzhou City from 2016 to 2022 was generally basically safe, with a continuous improvement trend. The results validate the effectiveness and applicability of the proposed model, which provides new methodological support and practical guidance for urban water safety evaluation.

water security  /  indicator optimization  /  simulated annealing algorithm  /  combined weight  /  cloud model  /  Chenzhou City
盛东, 徐幸仪, 赵磊, 徐蕾, 王远坤. 基于组合权重—云模型的湖南省郴州市水安全评价. 水电能源科学, 2026 , 44 (1) : 42 -47 . DOI: 10.20040/j.cnki.1000-7709.2026.20250380
Dong SHENG, Xing-yi XU, Lei ZHAO, Lei XU, Yuan-kun WANG. Water Security Assessment of Chenzhou City, Hunan Province Based on Combined Weight and Cloud Model[J]. Water Resources and Power, 2026 , 44 (1) : 42 -47 . DOI: 10.20040/j.cnki.1000-7709.2026.20250380
Year 2026 volume 44 Issue 1
94
11
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Article Info
doi: 10.20040/j.cnki.1000-7709.2026.20250380
  • Receive Date:2025-03-03
  • Online Date:2026-09-28
  • Published:2026-01-25
Article Data
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History
  • Received:2025-03-03
  • Revised:2025-04-15
  • Accepted:2025-04-19
Funding
Affiliations
    1.Hunan Institute of Water Resources and Hydropower Research, Changsha 410007, China
    2.School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing 102206, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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