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中国灰水足迹时空格局演变及其脱钩关系研究 被引量:4

Study on Spatial and Temporal Pattern of Grey Water Footprint and Its Decoupling Relationship in China
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摘要 基于灰水足迹理论和方法,计算1998-2016年中国31个省区灰水足迹,对其时空分布特征及重心变化趋势进行分析,并利用脱钩模型进一步研究中国经济发展和灰水足迹的脱钩关系。结果表明:①中国灰水足迹整体呈下降趋势,由1998年的4055.99×108m3下降至2016年3361.57×108m3,东中部地区的灰水足迹高于西部地区的灰水足迹;②中国灰水足迹重心均位于河南省境内,并主要呈“东北-西南”向的移动趋势;③1998-2016年,中国大部分省区的经济发展与灰水足迹呈强脱钩关系,由1998年的35.5%上升至2016年的87.1%。通过中国灰水足迹时空格局分析,为日后制定差别化的区域水污染治理对策提供参考。 Based on grey water footprint theory and method, we calculated the grey water footprint of 31 provinces in China from1998 to2016, and analyzed their spatial and temporal distribution characteristics and trends of gravity center. Then, the decoupling model was used to further study on the decoupling relationship between economic development and grey water footprint in China. The results showed that:①The grey water footprint has a decreasing trendency in general, diminished from 4 055.99 ×10 8 m3in1998 to3361.57 ×10 8 m3in2016. The grey water footprint in the eastern and central regions is higher than that in the western region;②The gravity center of grey water footprint is located in Henan Province, and it is mainly in the trend of “Northeast- Southwest”;③From1998 to2016, between the economic development of economic and the grey water footprint,most provinces in China are in a strong state of decoupling, increased from 35.5% in1998 to 87.1% in2016. Through the analysis of the spatial and temporal pattern of grey water footprint in China, it will provide the reference for differentiated regional water pollution control measures making in the future.
作者 林靖雯 翁翎燕 戴毅豪 LIN Jing-wen;WENG Ling-yan;DAI Yi-hao(Department of Urban and Civil Engineering,Jinling College,Nanjing University,Nanjing 210089,China;College of Public Administration, Nanjing Agricultural University,Nanjing 210095, China)
出处 《水利科技与经济》 2019年第9期14-21,共8页 Water Conservancy Science and Technology and Economy
关键词 灰水足迹 时空格局 重心迁移 脱钩指数 中国 grey water footprint spatial and temporal pattern migration of gravity center decoupling index China
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