辽宁省水资源承载力评价的时空分异研究

Pub Date : 2023-11-24 DOI:10.1134/s0097807822602023
Liu Maohua, Liu Le
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引用次数: 0

摘要

摘要为了研究辽宁省水资源承载力的时空变化特征,以辽宁省14个城市为研究单元,采用TOPSIS模型(order Preference Technique by Similarity to a Ideal Solution)进行研究。首先构建评价指标体系,采用层次分析法和熵值法相结合的主客观赋值方法对评价指标进行权重赋值。同样,TOPSIS模型与GIS(地理信息系统)相结合来呈现结果。最后,通过对研究结果的分析,提出相应的对策和建议。发现大连和营口的TOPSIS模型贴近度T值最接近0.2,表明承载力质量较高。阜新的平均T值仅为0.0949。辽宁省优质水资源承载面积由8281 km2扩大到12650 km2。低空面积从31 743 km2扩大到57 453 km2。报警区域略有扩大。中间面积和良好面积有一定的缩小。研究结果可为水资源研究提供参考,为辽宁省经济发展和环境保护工作奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study on Spatial-Temporal Differentiation of Water Resources Carrying Capacity Evaluation in Liaoning Province

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Study on Spatial-Temporal Differentiation of Water Resources Carrying Capacity Evaluation in Liaoning Province

Abstract

In order to study the spatial-temporal variation in the carrying capacity of water resources in Liaoning Province, 14 cities in Liaoning are used as research units based on the TOPSIS model (Technique for Order Preference by Similarity to an Ideal Solution). Firstly, the evaluation index system is constructed, and the subjective and objective assignment method combining the AHP method (Analytic Hierarchy Process) and entropy method are adopted to assign weights to the evaluation indexes. Again, the TOPSIS model is combined with GIS (Geographic Information System) to present the results. Finally, through the analysis of the research results, the corresponding countermeasures and suggestions are put forward. It is found that the T value of TOPSIS model closeness in Dalian and Yingkou is the closest to 0.2, which indicates that the carrying capacity is of high quality. The average T value of Fuxin is only 0.0949. The area of high-quality water resources carrying capacity in Liaoning has expanded from 8281 to 12 650 km2. The area of low level has expanded from 31 743 to 57 453 km2. The alarm area has expanded slightly. Intermediate area and good area has a certain reduction. The research results can provide a reference for the study of water resource, and lay a foundation for the work of economic development and environmental protection in Liaoning Province.

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