An index reduction method for water resources carrying capacity

An index reduction method was proposed to eliminate unnecessary indexes and to establish a simple and practical water resources carrying capacity (WRCC) model,based on sensitivity analysis and dynamic cluster analysis.It overcame the shortcomings of the traditional WRCC model,such as,many quantities,fine classifications,rich data requirements and not independence or indirect correlations.Firstly,the sensitivity analysis was used to screen the indexes initially.Secondly,the correlation coefficient was used to cluster the indexes dynamically.According to the clustering results,the number of index was further reduced,and the effective reduction of indexes was achieved.This model was then used in Huzhou City to calculate its WRCC from 2011 to 2016.The results showed that the WRCC states of Huzhou has been developed well from 2011 to 2016,which was basically consistent with the actual conditions,which verified the rationality and effectiveness of the model.Meanwhile,the proposed method provided some new aspects of the WRCC evaluation and can be used in other regions of the country to estimate WRCC.

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