基于水足迹理论的中国水资源压力评价
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TV213.4

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国家自然科学基金(51609063);中央高校基本科研业务费专项(2018B10614);国家重点研发计划(2018YFF0215702);水文水资源与水利工程科学国家重点实验室专项(20145027312)


Water resources pressure assessment in China based on water footprint theory
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    摘要:

    为实现水资源可持续利用,在明晰中国蓝水足迹和灰水足迹空间分布规律的基础上,提出了涵盖水量和水质的水资源压力指数计算方法,并对中国各省级行政区水资源压力状况进行了评价。结果表明:各省级行政区蓝水足迹差异显著,大部分省级行政区农业部门蓝水足迹大于其他部门;灰水足迹排名前3的是河南、江苏和山东;宁夏、河北、山东和天津的水资源压力指数显著大于其他省级行政区,水资源压力指数分布与等级分布存在一定差异。节水技术应用、作物布局优化以及节水意识提高均有助于减小蓝水足迹;控制氮肥施用量,提高氮肥利用率有助于减小灰水足迹;实体及虚拟水资源进口有助于缓解区域水资源压力。

    Abstract:

    In order to realize the sustainable utilization of water resources, a calculation method of water resources pressure index covering water quantity and water quality was put forward based on the clear spatial distribution law of Chinas blue water footprint and grey water footprint, and the water resources pressure situation of provincial administrative regions in China was evaluated. The results show that there are significant differences in blue water footprint among provincial administrative regions. The blue water footprint of agricultural departments in most provincial administrative regions is larger than that of other departments. Henan, Jiangsu and Shandong rank the top three in the grey water footprint. The pressure index of water resources in Ningxia, Hebei, Shandong and Tianjin is significantly higher than that in other provincial administrative regions. There are some differences between water resources pressure index distribution and grade distribution. The application of water-saving technology, the optimization of crop layout and the improvement of water-saving consciousness all contribute to the reduction of blue water footprint. Controlling the application rate of nitrogen fertilizer and increasing the utilization rate of nitrogen fertilizer are helpful to reduce the grey water footprint. Entity and fictitious water resources import helps to alleviate regional water resources pressure.

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刘静,余钟波.基于水足迹理论的中国水资源压力评价[J].水资源保护,2019,35(5):35-39.(LIU Jing, YU Zhongbo. Water resources pressure assessment in China based on water footprint theory[J]. Water Resources Protection,2019,35(5):35-39.(in Chinese))

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  • 收稿日期:2018-09-12
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  • 在线发布日期: 2019-09-24
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