JOURNAL OF NATURAL RESOURCES ›› 2015, Vol. 30 ›› Issue (11): 1943-1955.

• Resource Research Method •

### Comparison of Assessment Methods for Regional Water Resources Sustainable Utilization

WANG Ren1, 2, CHEN Xing-wei1, 2, 3, CHEN Ying1, 2, 3

1. 1. College of Geographical Science, Fujian Normal University, Fuzhou 350007, China;
2. Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology, Fuzhou 350007, China;
.Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fuzhou 350007, China
• Received:2014-11-20 Revised:2015-04-20 Online:2015-11-14 Published:2015-11-14

Abstract:

The assessment method of regional water resources sustainable utilization is one of the core issues for water resources sustainable utilization evaluation. In order to reveal several typical evaluation methods of regional water resources sustainable utilization and its application effect, in this paper, seven evaluation methods or models which can be grouped into two categories have been selected. The first category is consist of principal component analysis (PCA), analytic hierarchy process (AHP), gray correlation method and improved rank correlation analysis. And fuzzy comprehensive evaluation method, BP neural network and support vector machine (SVM) composite the other category. Above seven methods were selected to evaluate indicator system for sustainability assessment of water resources use (ISSAWRU) which has been built in Fujian Province. Then nine districts of Fujian Province were taken as the example. Firstly, the initial ISSAWRU of Fujian Province is constructed from 24 indicators based on the content of Driving -Pressure-State-Impact-Response conceptual model which is abbreviated as DPSIR. The related evaluation results and characteristics of those seven methods or models were compared subsequently. Final analysis of results shows that: 1) The evaluation results of PCA and improved rank correlation analysis method have the highest consistency, and the latter is AHP and improved rank correlation analysis method. Furthermore, improved rank correlation analysis has the most reliable among the comprehensive index type methods. While gray correlation method has some shortages that it may obtain smaller range of evaluation value and higher assessment value of some regions, which actually has lower level of regional water resources sustainable utilization. In addition, the evaluation results of fuzzy comprehensive evaluation, BP neural network and SVM are quite different without obvious regularity. 2) In general, traditional methods including PCA, AHP, gray correlation degree and fuzzy comprehensive evaluation method are relatively simple and stable. Although BP neural network and SVM can reduce subjective intervention, they show poor stability because of the impacts of index ranking standard, training sample, parameter settings and other factors. 3) Compared with BP neural network, evaluation stability of SVM is better, but the reliability of SVM is greatly affected by division of sample space. This research can provide scientific reference for selecting or analyzing assessment method of water resources sustainable utilization.

CLC Number:

• TV213.4