中国灰水足迹时空格局演变及其脱钩关系研究
|
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4 055. 99×10~8m~3下降至2016年3 361. 57×10~8m~3,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 from 1998 to 2016,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 m~3 in 1998 to 3 361. 57 × 10~8 m~3 in 2016. 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"; ③From 1998 to 2016,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% in 2016. 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.
Based on grey water footprint theory and method,we calculated the grey water footprint of 31 provinces in China from 1998 to 2016,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 m~3 in 1998 to 3 361. 57 × 10~8 m~3 in 2016. 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"; ③From 1998 to 2016,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% in 2016. 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.
引文
[1]党丽娟,徐勇.水资源承载力研究进展及启示[J].水土保持研究,2015,22(3):341-348.
[2]王维,纪枚,苏亚楠.水质评价研究进展及水质评价方法综述[J].科技情报开发与经济,2012,22(13):129-131.
[3]黄万霞,闫滨,姬建梅.关于国内外灰水足迹的研究综述[J].环境工程,2017,35(12):149-153.
[4] HOEKSTRA A Y,CHAPAGAIN A K. Globalization of Water:Sharing the Planet’s Freshwater Resources[M]. Oxford:Black-well Publishing,2008.
[5] HOEKSTRA A Y,CHAPAGAIN A K,Al DAYA M M.水足迹评价手册[K].北京:科学出版社,2012.
[6]孙才志,韩琴,郑德凤.中国省际灰水足迹测度及荷载系数的空间关联分析[J].生态学报,2016,36(1):86-97.
[7]白天娇,孙才志.中国人均灰水足迹区域差异及因素分解[J].生态学报,2018,38(17):6314-6325.
[8]曾昭,刘俊国.北京市灰水足迹评价[J].自然资源学报,2013,28(7):1169-1178.
[9]周申蓓,周倩.新疆地区水资源退化趋势及其产业原因研究:基于灰水足迹和脱钩指数[J].资源与产业,2017,19(3):76-81.
[10]张楠,李春晖,杨志峰,等.基于灰水足迹理论的河北省水资源评价[J].北京师范大学学报(自然科学版),2017,53(1):75-79.
[11]王丹阳,李景保,叶亚亚,等.基于不同受纳水体的湖南省农业灰水足迹分析[J].水资源保护,2016,32(4):49-54.
[12]周民良.经济重心、区域差距与协调发展[J].中国社会科学,2000(2):42-53,206.
[13]梁中,徐蓓.中国省域碳压力空间分布及其重心迁移[J].经济地理,2017,37(2):179-186.
[14]孙睿. Tapio脱钩指数测算方法的改进及其应用[J].技术经济与管理研究,2014(8):7-11.
[15]韩文艳,陈兴鹏,张子龙.基于脱钩理论的城市水资源利用与经济增长关系研究[J].水土保持通报,2017,37(5):140-145.
[16]李宁,张建清,王磊.基于水足迹法的长江中游城市群水资源利用与经济协调发展脱钩分析[J].中国人口·资源与环境,2017,27(11):202-208.
[17]洪思扬,王红瑞,程涛.我国人口、经济和水足迹的空间关系测度及其脱钩关系分析[J].水电能源科学,2017,35(11):136-140.
[18]朱兆良.农田中氮肥的损失与对策[J].土壤与环境,2000,9(1):1-6.
[2]王维,纪枚,苏亚楠.水质评价研究进展及水质评价方法综述[J].科技情报开发与经济,2012,22(13):129-131.
[3]黄万霞,闫滨,姬建梅.关于国内外灰水足迹的研究综述[J].环境工程,2017,35(12):149-153.
[4] HOEKSTRA A Y,CHAPAGAIN A K. Globalization of Water:Sharing the Planet’s Freshwater Resources[M]. Oxford:Black-well Publishing,2008.
[5] HOEKSTRA A Y,CHAPAGAIN A K,Al DAYA M M.水足迹评价手册[K].北京:科学出版社,2012.
[6]孙才志,韩琴,郑德凤.中国省际灰水足迹测度及荷载系数的空间关联分析[J].生态学报,2016,36(1):86-97.
[7]白天娇,孙才志.中国人均灰水足迹区域差异及因素分解[J].生态学报,2018,38(17):6314-6325.
[8]曾昭,刘俊国.北京市灰水足迹评价[J].自然资源学报,2013,28(7):1169-1178.
[9]周申蓓,周倩.新疆地区水资源退化趋势及其产业原因研究:基于灰水足迹和脱钩指数[J].资源与产业,2017,19(3):76-81.
[10]张楠,李春晖,杨志峰,等.基于灰水足迹理论的河北省水资源评价[J].北京师范大学学报(自然科学版),2017,53(1):75-79.
[11]王丹阳,李景保,叶亚亚,等.基于不同受纳水体的湖南省农业灰水足迹分析[J].水资源保护,2016,32(4):49-54.
[12]周民良.经济重心、区域差距与协调发展[J].中国社会科学,2000(2):42-53,206.
[13]梁中,徐蓓.中国省域碳压力空间分布及其重心迁移[J].经济地理,2017,37(2):179-186.
[14]孙睿. Tapio脱钩指数测算方法的改进及其应用[J].技术经济与管理研究,2014(8):7-11.
[15]韩文艳,陈兴鹏,张子龙.基于脱钩理论的城市水资源利用与经济增长关系研究[J].水土保持通报,2017,37(5):140-145.
[16]李宁,张建清,王磊.基于水足迹法的长江中游城市群水资源利用与经济协调发展脱钩分析[J].中国人口·资源与环境,2017,27(11):202-208.
[17]洪思扬,王红瑞,程涛.我国人口、经济和水足迹的空间关系测度及其脱钩关系分析[J].水电能源科学,2017,35(11):136-140.
[18]朱兆良.农田中氮肥的损失与对策[J].土壤与环境,2000,9(1):1-6.