| Evaluation of water resource load balance based on four dimensional index system (quantity-quality-watershed-flow) |
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| DOI：10.7606/j.issn.1000-7601.2019.03.28 |
| Key Words: water resource load balance four-dimensional index system normal cloud model load index carrying capacity index Hei River basin |
| Author Name | Affiliation | | ZHOU Yun-zhe | College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China | | SU Xiao-ling | College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China | | ZHOU Zheng-hong | College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| With increasing water consumption for social and economic activities, the challenges between supply and demand of water resources have become severe. The loading state of water resources system has become unbalanced, which could restrain regional development and endanger the virtuous cycle of ecological environment. Based on a four dimensional indexes including quantity, quality, watershed, and flow, an evaluation index system of water resources loading state from both aspects of loading and carrying capacity was constructed. A normal cloud model of the normalized indicators was used to evaluate the loading state of water resources allocation schemes in three cities of Zhangye, Jiuquan, and Alxa in Hei River basin in 2015. According to the two-dimensional coordinates of loading score and carrying capacity score, the loading state was divided into four quadrants：low loading-high carrying capacity, low loading-low carrying capacity, high loading-high carrying capacity, and high loading-low carrying capacity. The result indicated that overall water resources loading states of three cities were classified as class Ⅳ, high loading-low carrying capacity, based on the comprehensive scores, Zhangye was 3.697, Jiuquan was 3.657, Alxa was 3.901. The quality loading state of three cities was in low loading-high carrying capacity quadrant, class Ⅱ. The water quality score of Jiuquan was superior to that of Zhangye. The water quality score of Zhangye was superior to that of Alxa. In the aspects of quantity, watershed and flow, the loading states fell into high loading-low carrying capacity quadrant. The quantity loading state of three cities were class Ⅳ. The water quality score of Zhangye was superior to that of Jiuquan, The water quality score of Jiuquan was superior to that of Alxa. The watershed loading states of Zhangye and Alxa were classⅤ, Jiuquan was class Ⅳ. The flow loading state of three cities were class Ⅴ. The control measures of “enhancing capacity” and “decreasing load” need to be executed in the aspects of quantity, watershed, and flow. |
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