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中国水足迹强度区域差异的空间分析
Spatial Analysis of the Regional Differences of Water Footprint Intensity in China

作  者: ; ;

机构地区: 华南理工大学经济与贸易学院

出  处: 《生态经济》 2016年第8期29-35,共7页

摘  要: 水资源是人类生产生活不可或缺的基础性资源。水足迹是在虚拟水的基础上应运而生的,是当前水资源领域的研究热点之一。水足迹强度是一个反映水资源利用效率的指标,它为水资源的利用评价提供了一个全新的思路。通过构建水足迹模型和水足迹强度模型,测算出2004~2013年我国主要省份的水足迹及水足迹强度,其中水足迹包括农畜产品水足迹、工业产品水足迹、水污染足迹、生活和生态水足迹,并在此基础上对我国各区域的水足迹强度进行对比分析。研究结果表明,我国区域的水足迹呈现出波动上升的趋势,水足迹强度整体上呈现出下降趋势,但区域差异较为明显,其中中南地区的水足迹强度最大,西北地区的水足迹强度最小。我国各省份的水足迹强度在时空条件下不是呈现出平均地分布,其也受到邻近区域的影响。此外还基于探索性数据分析(ESDA)的方法,使用Moran’s I系数和局部空间自相关指数(LISA)来进行我国区域水足迹强度的全局及局部空间自相关分析。全局Moran’s I指数表明,我国各省份的水足迹强度在研究期间内都呈现出正的相关性。通过局部空间自相关分析辨别出了我国水足迹强度的"热点"区域和"冷点"区域。 Water is absolutely necessary basic resource to human production and living. Water footprint is produced on the basis of the virtual water, it is also one of the current research hotspots in the field of water resources. Water footprint intensity is a reflection index of water resource utilization efficiency, it provides a new train of thought for water resource evaluation. By constructing water footprint model and water footprint intensity model, the paper measured the water footprint and water footprint intensity of China's major provinces and cities in 2004-2013, including livestock products water footprint, industrial product water footprint, water pollution footprint, life and ecological water footprint. Besides, the paper also did the contrast analysis of regional water footprint intensity in China. The results show that regional water footprints have a upward trend but the whole water footprint intensity present a downward trend. However, regional differences are obvious, the central south region has the maximum water footprint intensity, while the northwest has the minimum. The regional water footprint intensity in China is not distributed evenly over space and time, it also affected by the adjacent area. Based on the method of Exploratory Spatial Data Analysis(ESDA), this paper used Moran's I coefficient and local spatial autocorrelation index(LISA) to do global autocorrelation analysis and local spatial autocorrelation analysis for China's regional water footprint intensity. Global Moran's I index showed that the water footprint intensity of provinces and cities in our country had a positive correlation in the study period. Through the local spatial autocorrelation analysis, the paper identified the 'hot spots' and 'cold spots' area of water footprint intensity in China.

关 键 词: 水足迹 水足迹强度 空间自相关

领  域: [水利工程]

相关作者

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相关机构对象

机构 暨南大学
机构 华南师范大学地理科学学院
机构 华南理工大学经济与贸易学院
机构 广州大学地理科学学院
机构 华南师范大学经济与管理学院

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