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黄河流域水资源利用时空演变特征及驱动要素
引用本文:孙思奥,汤秋鸿.黄河流域水资源利用时空演变特征及驱动要素[J].资源科学,2020,42(12):2261-2273.
作者姓名:孙思奥  汤秋鸿
作者单位:1.中国科学院地理科学与资源研究所 区域可持续发展与模拟重点实验室,北京100101
2.中国科学院大学,北京100049
3.中国科学院地理科学与资源研究所 陆地水循环及地表过程重点实验室,北京100101
基金项目:国家自然科学基金重点项目(41730645);国家自然科学基金重大项目(41790424);国家杰出青年科学基金项目(41425002)
摘    要:黄河流域水资源供需矛盾突出,在有限的水资源条件下,亟需开展水资源需求管理,以保障社会经济可持续发展。本文以二级流域为基本单元,采用对数均值迪氏指数方法分析2003—2015年黄河流域用水量的时空演变特征,揭示流域用水时空变化的主要影响因素。结果显示:①黄河流域用水量占比全国用水量8.0%~9.3%,年用水总量呈现上升趋势,而人均用水量则呈下降趋势。②各二级流域用水量随时间变化的主导因素不一致,人口与人均GDP增长为用水量增加的主导因素,用水强度降低与产业结构升级能起到抑制用水量增长的作用。黄河二级流域人均用水量空间差异显著,用水强度对人均用水量空间差异的影响最显著,各因素对二级流域人均用水量空间差异的影响逐年减小。研究结果可为黄河流域水资源需求管理提供科学依据。

关 键 词:水资源管理  黄河流域  对数均值迪氏指数  用水量  社会经济要素  
收稿时间:2020-02-10
修稿时间:2020-05-27

Spatiotemporal patterns and driving factors of water resources use in the Yellow River Basin
SUN Siao,TANG Qiuhong.Spatiotemporal patterns and driving factors of water resources use in the Yellow River Basin[J].Resources Science,2020,42(12):2261-2273.
Authors:SUN Siao  TANG Qiuhong
Institution:1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Abstract:Along with the rapid population growth and socioeconomic development, the Yellow River Basin (YRB) in China is facing water scarcity. Given limited water resources availability in the YRB in the semi-arid and arid regions, water resources management on the demand side is essential for sustainable development in the region. Previous studies on driving forces of water use were mostly based on administrative units. In this study, we analyzed the spatiotemporal patterns and change of water use in the YRB in 2003-2015 at the second-order basin scale. In addition, we examined the main influencing factors that drive the temporal and spatial changes of water use using the logarithmic mean divisia index (LMDI) method. The results indicated that the total water use in the YRB represented 8.0%~9.3% of the total water use in China. The total water use in the YRB exhibited an increasing trend, while water use per capita showed a decreasing trend. The main driving factors for the spatial evolution of water use in different second-order basins were different. The increasing water uses in the second-order YRBs were mainly attributed to population growth and per capita GDP increase, whereas water use efficiency improvement and industrial structure upgrading contributed to offsetting increasing water use. Per capita water uses in the second-order basins showed large spatial heterogeneity. The spatial LMDI results showd that water use intensity was the largest contributor to the spatial difference of per capita water uses. The effects of all the contributing factors to the spatial differences of per capita water use tended to decrease with time. The results are useful in informing relevant policies towards sustainable water use and management in the YRB.
Keywords:water resources management  Yellow River Basin  logarithmic mean divisia index (LMDI)  water use  socioeconomic factors  
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