Assessment of water resources carrying capacity in typical counties of Shaanxi Province based on fuzzy recognition theory (FRT)
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DOI:10.7606/j.issn.1000-7601.2013.06.040
Key Words: water resources carrying capacity(WRCC)  fuzzy recognition theory (FRT)  membership function  County level  Shaanxi Province
Author NameAffiliation
ZHANG Xi1, WANG Wu-wei2, QI Yang-zhou3, ZHAO Peng-xia3, KOU Li-juan3 (1.长江勘测规划设计研究院, 湖北 武汉 430010 2.陕西省渭南市东雷二期抽黄工程管理局, 陕西 渭南 714000
3.陕西省周至县水务局水土保持工作站
陕西 周至 710400) 
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Abstract:
      In this paper, 7 elevation indexes include per capita availability quantity of the water resources, water resources ownership per capita, water consumption per unit GDP, utilization rate of water resources, water resources quantity per capita arable land, water resources quantity per unit area, irrigation rate are selected. The fuzzy recognition theory (FRT) model is adopted for calculating the contribution ration and relative membership of selected impact factors of regional water resources carrying capacity (WRCC). Subsequently, based on the complementary binary comparison method, the subjective weights are obtained. Whilst, the WRCC characteristic value level of sample counties in Shaanxi province are deducted. The result shows that: water resources in Southern Shaanxi such as Shiquan, Shangnan, Nanzheng and Zhenping county are adequate relatively, which means a more coordinated relationship between social economic development and WRCC; water resources in Guanzhong region such as Wugong, Jingyang and Qishan county have been severely overloaded, measures should be taken to carry out human intervention; and water resources in Northern Shaanxi such as Jingbian and Ansai county are still not rich. FRT-based WRCC fuzzy assessment method reflects the water resources conditions of sample counties of Shaanxi Province.