Evaluation on Water Resources Carrying Capacity Based on Variable-Weight and Entropy-Weight Methods with Improved TOPSIS-A Case Study of Prefecture Cities in Shaanxi Province

LIU Xiaojun; FU Hanliang

doi:10.13961/j.cnki.stbctb.2015.06.034

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Evaluation on Water Resources Carrying Capacity Based on Variable-Weight and Entropy-Weight Methods with Improved TOPSIS-A Case Study of Prefecture Cities in Shaanxi Province

- Evaluation on Water Resources Carrying Capacity Based on Variable-Weight and Entropy-Weight Methods with Improved TOPSIS-A Case Study of Prefecture Cities in Shaanxi Province
- Bulletin of Soiland Water Conservation Vol. 35, Issue 6, Pages: 187-191(2015)
- 作者机构：
  
  西安建筑科技大学管理学院,陕西,西安,710055
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2015.06.034
  CLC：
- Published：2015
- 稿件说明：
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LIU Xiaojun, FU Hanliang. Evaluation on Water Resources Carrying Capacity Based on Variable-Weight and Entropy-Weight Methods with Improved TOPSIS-A Case Study of Prefecture Cities in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 187-191.
DOI：

LIU Xiaojun, FU Hanliang. Evaluation on Water Resources Carrying Capacity Based on Variable-Weight and Entropy-Weight Methods with Improved TOPSIS-A Case Study of Prefecture Cities in Shaanxi Province[J]. Bulletin of Soiland Water Conservation, 2015, 35(6): 187-191. DOI： 10.13961/j.cnki.stbctb.2015.06.034.

摘要

[目的] 对陕西省各地市水资源承载力(WRCC)状况进行评价

为区域水资源的合理利用和分配提供科学依据。[方法] 在引入信息熵进行指标权重计算的基础之上

采用变权法对权重指标反常现象进行修正。依据计算所得权重

采用改进TOPSIS法建立模型。并结合2012年陕西省各地市涉及水资源承载力的相关数据

对陕西省各地市的水资源承载力综合状况评价中进行了应用。[结果] 得出了陕西省各地级市的水资源承载力情况排序为:安康市 >宝鸡市 >商洛市 >延安市 >汉中市 >渭南市 >榆林市 >铜川市 >咸阳市 >西安市。发现西安市水资源承载力不足情况最为突出。[结论] 利用变权信息熵改进TOPSIS模型计算水资源承载力

操作简便、实用性强

在该领域应用前景广泛。

Abstract

[Objectives] The objective of the study is to evaluate the water resources carrying capacity(WRCC) of all prefecture cities in Shaanxi Province

and to provide scientific basis for the reasonable utilization and allocation of water resources in this region.[Methods] Based on the introduction of entropy-weight method and the calculation of index weight

variable-weight method was used to improve the weight index. We then established a model with the improved TOPSIS according to the calculated weight

and used this model to evaluate the comprehensive WRCC in all prefecture cities in Shaanxi Province.[Results] We ranked WRCC in all prefecture cities in Shaanxi Province in the order as follows:Ankang >Baoji >Shangluo >Yanan >Hanzhong >Weinan >Yulin >Tongchuan >Xianyang >Xi'an

and found that the WRCC is extremely lower in Xi'an City.[Conclusion] Based on variable-weight and entropy-weight methods

the evaluation of WRCC with improved TOPSIS is easy and practical

so it will have great implication in this field.

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Keywords

references

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