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Evaluation of natural support capacity of water resources using principal component analysis method: a case study of Fuyang district, China
Applied Water Science ( IF 5.7 ) Pub Date : 2020-07-13 , DOI: 10.1007/s13201-020-1174-7 Feifeng Cao , Yi Lu , Shaojun Dong , Xiaolong Li
Applied Water Science ( IF 5.7 ) Pub Date : 2020-07-13 , DOI: 10.1007/s13201-020-1174-7 Feifeng Cao , Yi Lu , Shaojun Dong , Xiaolong Li
The natural support capacity (NSC) of water resources is a key aspect of the regional carrying capacity of water resources, and it can reflect the quality and quantity of water resources in a region. This paper aims to evaluate the NSC of water resources using a model based on the principal component analysis (PCA) to benefit the development and utilization of regional water resources. A case study in the Fuyang district, Zhejiang Province, China, was carried out. First, water resources, as dependent variables, were assumed to be linearly influenced by the indicators affecting the NSC of water resources. These indicators were regarded as independent variables for multivariate analysis in this study. Then, the available water resources data for the Fuyang district between 1995 and 2003 were inputted to the model to analyze NSC levels of water resources. The results indicated that the most important parameters influencing the NSC of water resources could be shortlisted to water resources availability, surface water resources, groundwater resources, allowable withdrawal of water resources, and emission intensity of chemical oxygen demanding. Our findings revealed that the NSC of water resources in the Fuyang district fluctuated between 1995 and 1999 and generally declined after 2000, indicating that the issue of water pollution has worsened since 2000. These results are consistent with the field observations and thus shall provide new potential applications of a PCA-based model in evaluating the NSC of water resources and the relevant water resource carrying capacity for similar areas.
更新日期：2020-07-13
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