| 基于可变模糊识别模型的武汉市水资源承载能力评价 |
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| 引用本文： | 王晓晓,梁忠民,黄振平,戴昌军.基于可变模糊识别模型的武汉市水资源承载能力评价[J].水电能源科学,2012,30(12):20-23. |
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| 作者姓名： | 王晓晓 梁忠民 黄振平 戴昌军 |
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| 作者单位： | 河海大学 水文水资源学院， 江苏 南京 210098;河海大学 水文水资源学院， 江苏 南京 210098;河海大学 水文水资源学院， 江苏 南京 210098;长江水利委员会 长江勘测规划设计研究院， 湖北 武汉 430010 |
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| 基金项目： | 水利部公益性行业科研专项基金资助项目（201001003） |
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| 摘 要： | 通过分析水资源承载能力的主要影响因素，以武汉市为例，提出了武汉市水资源承载能力评价指标体系，合理确定指标标准值，并建立了基于可变模糊识别的水资源承载能力评价模型，采用可变模糊集理论计算样本指标对各级别指标标准值区间的相对隶属度，指标权重通过主客观相结合途径确定，即准则层指标权重采用层次分析法确定，指标层指标采用熵值法确定。结果表明，武汉市水资源承载能力属于中等水平。
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| 关 键 词： | 水资源承载能力 可变模糊识别模型 指标体系 武汉市 |
Evaluation of Water Resources Carrying Capacity in Wuhan City Based on Variable Fuzzy Recognition Model |
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| WANG Xiaoxiao,LIANG Zhongmin,HUANG Zhenping and DAI Changjun.Evaluation of Water Resources Carrying Capacity in Wuhan City Based on Variable Fuzzy Recognition Model[J].International Journal Hydroelectric Energy,2012,30(12):20-23. |
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| Authors: | WANG Xiaoxiao LIANG Zhongmin HUANG Zhenping and DAI Changjun |
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| Affiliation: | College of Hydrology and Water Resources,Hohai University, Nanjing 210098, China;College of Hydrology and Water Resources,Hohai University, Nanjing 210098, China;College of Hydrology and Water Resources,Hohai University, Nanjing 210098, China;Changjiang Institute of Survey, Planning, Design and Research, Changjiang Water Resources Commission, Wuhan 430010, China |
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| Abstract: | By analyzing the main influencing factors of water resources carrying capacity (WRCC), the evaluation indictors system is put forward by taking Wuhan city as an example. Standard values of indictors for WRCC are determined reasonably and the evaluation model of WRCC is established based on variable fuzzy recognition. The variable fuzzy sets theory is used to calculate the relative membership degree between sample indictor and standard value interval of each level indictor. The weights of indictors are determined by combining the subjective and objective way, which means the weights of rule layer indicators determined by analytic hierarchy process and the weights of indicator layer indicators determined by entropy value method. The results show that WRCC of Wuhan city belongs to medium level. |
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| Keywords: | water resources carrying capacity variable fuzzy recognition model indicators system Wuhan city |
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