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Published on: September 16, 2022
Assessment model of ecoenvironmental vulnerability based on improved entropy weight method
Xianqi Zhang1, Chenbo Wang1, Enkuan Li2
1College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
This study introduces an improved entropy weight model to assess eco-environmental vulnerability in China's cold and arid regions. The novel approach offers a more accurate and insightful evaluation for regional planning and ecological protection.
Area of Science:
- Environmental Science
- Ecology
- Regional Planning
Background:
- Eco-environmental vulnerability assessment is crucial for regional planning and ecological protection.
- Cold and arid regions present unique challenges for environmental assessment.
- Existing methods may have limitations in accuracy and insight.
Purpose of the Study:
- To propose a novel evaluation index system for eco-environmental vulnerability.
- To develop an improved entropy weight assessment model.
- To apply and validate the model in western Jilin Province, China.
Main Methods:
- Development of a new index system based on driving mechanisms and evolution characteristics.
- Improvement of the conventional entropy weight method to address its disadvantages.
- Application of the improved model to evaluate eco-environmental vulnerability in a specific region.
Main Results:
- The developed model is suitable for eco-environmental vulnerability assessment.
- The model provides more reasonable evaluation criteria and distinct insights.
- Satisfactory results were achieved when combined with practical conditions.
Conclusions:
- The improved entropy weight model offers a new and effective method for regional eco-environmental vulnerability evaluation.
- This approach enhances the guidance for regional planning and ecological protection in vulnerable areas.
- The study contributes a more refined tool for understanding and managing eco-environmental risks.
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