基于ESDA的中国省际水足迹强度的空间关联格局分析

doi:10.11849/zrzyxb.2013.04.004

摘要/Abstract

摘要：

水足迹强度是一个反映水的利用效率的指标,论文在对1995-2009年中国31个省(市、区)水足迹计算的基础上(因资料所限,未考虑香港、澳门和台湾地区),利用探索性空间数据分析(ESDA)对15 a来各地区水足迹强度空间分布格局以及演变态势进行了分析和探讨。结果表明:①中国水足迹强度整体呈现明显的下降趋势,说明水资源的利用效率明显提高,但是区域发展并不平衡;②从全局空间分异来看,中国各地区水足迹强度呈现出正的空间相关性特征,存在着空间集聚特征,即水足迹强度高的地区相互邻接,强度低的地区相互邻接;③从局部空间分异来看,空间正相关模式(LL集聚和HH集聚)所占比例很大,且在研究年份内逐渐增加,反映出水足迹强度的LL集聚和HH集聚变得越来越显著。LL集聚主要分布在东部沿海一带,在空间上有明显的向周边扩散的趋势;HH集聚主要分布在西部地区,在空间分布上较稳定。

关键词: 水足迹, 水足迹强度, 探索性空间数据分析, LISA集聚, 中国

Abstract:

Water footprint intensity is an index that can comprehensively reflect the water use efficiency, this paper firstly estimated the water footprint of 31 provinces, municipalities and autonomous regions in China (excluding Hong Kong, Macao and Taiwan due to no data) from 1995 to 2009, and the water footprint intensity was then calculated, the ESDA (Exploratory Spatial Data Analysis) model was applied to study the spatial correlation pattern and changing tendency of water footprint intensity, the results show that: 1) the water footprint intensity has a decreasing tendency in general which means that the water use efficience are increasing in the 15 years, but the decreasing amounts of water footprint intensity are imbalance among the 31 provinces (regions), the regions located in the west China have a larger decreasing amount than the regions located in the east China in general. 2)From the aspect of global spatial difference, the water footprint intensity has a positive correlation characteristics, which means that there exists a spatial cluster feature, in other words, the regions with high water footprint intensity are apt to be adjacent to the regions with high water footprint intensity, and the regions with low water footprint intensity are apt to be adjacent to the regions with low water footprint intensity. 3) From the aspect of local spatial difference, the regions with LL (low-low) or HH (high-high) correlation pattern have a large percentage in the 31 provinces (regions), and the number of this kind of regions are steadily increasing in the 15 years, which reflects the fact that the special cluster becomes more and more obvious, and a spillover effect of water footprint intensity may exist. Among these regions, the regions with LL (low-low) correlation pattern are mainly located in the eastern coast regions of China, and water footprint intensity in these regions has an obvious diffusing tendency. The regions with HH (high-high) correlation pattern are mainly located in the west China, which are steady in spatial distribution in these years.

Key words: water footprint, water footprint intensity, Exploratory Spatial Data Analysis model, LISA, China

中图分类号:

TV213.4

孙才志, 陈栓, 赵良仕. 基于ESDA的中国省际水足迹强度的空间关联格局分析[J]. 自然资源学报, 2013, 28(4): 571-582.

SUN Cai-zhi, CHEN Shuan, ZHAO Liang-shi. Spatial Correlation Pattern Analysis of Water Footprint Intensity Based on ESDA Model at Provincial Scale in China[J]. JOURNAL OF NATURAL RESOURCES, 2013, 28(4): 571-582.

参考文献

[1] 李世祥, 成金华, 吴巧生. 中国水资源利用效率区域差异分析[J]. 中国人口·资源与环境, 2008, 18(3): 215-220. [LI Shi-xiang, CHENG Jin-hua, WU Qiao-sheng. Regional difference of the efficiency of water usage in China. China Population, Resources and Environment, 2008, 18(3): 215-220.]

[2] Hoekstra A Y. The concept of "virtual water" and its applicability in Lebanon[C]//Virtual Water Trade: Proceedings of the International Expert Meeting on Virtual Water Trade. The Netherlands: IHE DELFT, 2003: 171-182.

[3] 龙爱华, 徐中民, 王新华, 等. 人口、富裕及技术对2000 年中国水足迹的影响[J]. 生态学报, 2006, 26(10): 3358-3365. [LONG Ai-hua, XU Zhong-min, WANG Xin-hua, et al. Impacts of population, affluence and technology on water footprint in China. Acta Ecologica Sinica, 2006, 26(10): 3358-3365.]

[4] Van Oel P R, Mekonnen M M, Hoekstra A Y. The external water footprint of Netherlands: Geographically-explicit quantification and impact assessment [J]. Ecological Economics, 2009, 69: 82-92.

[5] Yang Yu, Klaus Hubacek, Feng Kuishuang, et al. Assessing regional and global water footprints for the UK [J]. Ecological Economics, 2010, 69: 1140-1147.

[6] Hoekstra A K, Chapagain A K. Water footprints of nations: Water use by people as a function of their consumption pattern [J]. Water Resources Management, 2007, 21: 35-48.

[7] Zhao Naizhuo, Tilottama Ghosh, Nathan Allen Currit, et al. Relationships between satellite observed lit area and water footprints [J]. Water Resources Management, 2011, 25: 2241-2250.

[8] Chapagain A K, Orr S. An improved water footprint methodology linking global consumption to local water resources: A Case of Spanish tomatoes [J]. Journal of Environmental Management, 2009, 90: 1219-1228.

[9] Chapagain A K, Hoekstra A Y, Savenije H H G, et al. The water footprint of cotton consumption: An assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries [J]. Ecological Economics, 2006: 186-203.

[10] Gerbens-Leenes Winnie, Hoekstra Arjen Y. The water footprint of sweeteners and bio-ethanol [J]. Environment International, 2011, 70: 749-758.

[11] Ertug Ercin A, Maite Martinez Aldaya, Hoekstra Arjen Y. Corporate water footprint accounting and Impact assessment: the case of the water footprint of a sugar-containing carbonated Beverage [J]. Water Resources Management, 2011 25: 721-741.

[12] Maite M, Aldaya·Pedro Martínez-Santos, Ramón Llamas M. Incorporating the water footprint and virtual water into policy: Reflections from the Mancha Occidental Region, Spain [J]. Water Resources Management, 2010 24: 941-958.

[13] 王新华, 徐中民, 龙爱华. 中国2000年水足迹的初步计算分析[J]. 冰川冻土, 2005, 27(5): 774-780. [WANG Xin-hua, XU Zhong-min, LONG Ai-hua. Estimation of water footprint of China in 2000. Journal of Glaciology and Geocryology, 2005, 27(5): 774-780.]

[14] 龙爱华, 徐中民, 张志强. 西北四省(区)2000年的水资源足迹[J]. 冰川冻土, 2003, 25(6): 692-700. [LONG Ai-hua, XU Zhong-min, ZHANG Zhi-qiang. Estimate and analysis of water footprint in Northwest China, 2000. Journal of Glaciology and Geocryology, 2003, 25(6): 692-700.]

[15] 陈俊旭, 张士锋, 华东, 等. 基于水足迹核算的北京市水资源保障研究[J]. 资源科学, 2010, 32(3): 528-534. [CHEN Jun-xu, ZHANG Shi-feng, HUA Dong, et al. A study on water resources guarantee in Beijing City based on water footprint evaluation. Resource Science, 2010, 32(3): 528-534.]

[16] 孙才志, 刘玉玉, 陈丽新, 等. 基于基尼系数和锡尔指数的中国水足迹强度时空差异变化格局[J]. 生态学报, 2010, 30(5): 1312-1321. [SUN Cai-zhi, LIU Yu-yu, CHEN Li-xin, et al. The spatial-temporal disparities of water footprints intensity based on Gini coefficient and Theil index in China. Acta Ecologica Sinica, 2010, 30(5): 1312-1321.]

[17] 张燕, 徐建华, 吕光辉. 西北干旱区新疆水资源足迹及利用效率动态评估[J]. 中国沙漠, 2008, 28(4): 775-780. [ZHANG Yan, XU Jian-hua, Lü Guang-hui. Dynamic analysis of water footprint and resources utility efficiency of Xinjiang in Northwest China arid areas. Journal of Desert Research, 2008, 28(4): 775-780.]

[18] Anselin L. Local indicators of spatial association-LISA [J]. Geographical Analysis, 1995, 27(2): 93-116.

[19] Messner S F, Anselin L, Baller R D, et al. The spatial patterning of county homicide rates: An application of exploratory spatial data analysis [J]. Journal of Quantitative Criminology, 1999, 15(4): 423-450.

[20] 马晓冬, 马荣华, 徐建刚. 基于ESDA-GIS的城镇群体空间结构[J]. 地理学报, 2004, 59(6): 1048-1057. [MA Xiao-dong, MA Rong-hua, XU Jian-gang. Spatial structure of cities and towns with ESDA-GIS framework. Acta of Geographical Sonica, 2004, 59(6): 1048-1057.]

[21] 连健, 李小娟, 宫辉力, 等. 基于ESDA的北京市乡镇农业经济空间特性分析[J]. 地域研究与开发, 2010, 29(1): 130-135. [LIAN Jian, LI Xiao-juan, GONG Hui-li, et al. Analysis of agricultural economy spatial characteristics of Beijing townships based on ESDA. Areal Research and Development, 2010, 29(1): 130-135.]

[22] 马静, 汪党献, Hoekstra A Y, 等. 虚拟水贸易在我国粮食安全问题中的应用[J]. 水科学进展, 2006, 17(1): 102-107. [MA Jing, WANG Dang-xian, HoekstraA Y, et al. Application of the virtual water trade to China’s grain security. Advance in Water Science, 2006, 17(1): 102-107.]

[23] 龙爱华, 张志强, 徐中民, 等. 甘肃省水资源足迹与消费模式分析[J]. 水科学进展, 2005, 16(3): 418-425. [LONG Ai-hua, ZHANG Zhi-qiang, XU Zhong-min, et al. A analysis of water footprint and consumption pattern in Gansu Province. Advance in Water Science, 2005, 16(3): 418-425.]

[24] 王新华, 徐中民, 李应海. 甘肃2003 年的水足迹评价[J]. 自然资源学报, 2005, 20(6): 909-915. [WANG Xin-hua, XU Zhong-min, LI Ying-hai. A rough estimate of water footprint of Gansu Province in 2003. Journal of Natural Resources, 2005, 20(6): 909-915.]

[25] Hoekstra A Y, Hung P Q. Virtual Water Trade: A Quantification of Virtual Water Flows Between Nations in Relation to Internation Corp Trade, Value of Water Research Series No.11[M]. Delft, The Netherlands: IHE. 2002: 15-17.

[26] 孙才志, 张蕾. 中国农产品虚拟水-耕地资源区域时空差异演变[J]. 资源科学, 2009, 31(1): 84-93. [SUN Cai-zhi, ZHANG Lei. Changes in spatial and temporal differences of agricultural product virtual Water versus cultivated land in China. Resources Science, 2009, 31(1): 84-93.]

[27] 徐中民, 龙爱华, 张志强. 虚拟水的理论方法及在甘肃省的应用[J]. 地理学报, 2003, 58(6): 861-869. [XU Zhong-min, LONG Ai-hua, ZHANG Zhi-qiang. Virtual water consumption calculation and analysis of Gansu Province in 2000. Acta of Geographical Sinica, 2003, 58(6): 861-869.]

[28] 马静, 汪党献, 来海亮, 等. 中国区域水足迹的估算[J]. 资源科学, 2005, 27(5): 96-100. [MA Jing, WANG Dang-xian, LAI Hai-liang, et al. Water footprint-an application in water resources research. Resources Science, 2005, 27(5): 96-99.]

[29] 余华义. 中国省际能耗强度的影响因素及其空间关联性研究[J]. 资源科学, 2011, 33(7): 1353-1365. [YU Hua-yi. Impact factors and spatial correlation of China’s provincial energy intensity. Resources Science, 2011, 33(7): 1353-1365.]