Quantifying driving forces of urban wetlands change in Beijing City

作     者：JIANG Weiguo WANG Wenjie CHEN Yunhao LIU Jing TANG Hong HOU Peng 

作者机构：State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Change and Natural DisasterBeijing Normal UniversityBeijing 100875China Chinese Academy of Environmental SciencesBeijing 100012China Qinghua Urban Plan and Design Institute of BeijingBeijing 100084China Satellite Environment CenterMinistry of Environmental ProectionBeijing 100029China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2012年第22卷第2期

页      面：301-314页

核心收录：

学科分类：0709[理学-地质学] 0907[农学-林学] 090705[农学-野生动植物保护与利用] 09[农学] 0903[农学-农业资源与环境] 0704[理学-天文学] 

基　　金：National Natural Science Foundation of China, No.41171318 No.41001160 The Fundamental Research Funds for the Central Universities, the Beijing Plan Program of Science and Technology, No.D08040600580801 International Program for Cooperation in Science and Technology, No.2009DFA 91710 Beijing Forestry Survey and Design Institute provided the data and report of the wetland inventory. We would like to express our sincere appreciation for their suggestions, support and help. They are Prof. Ji Wei of University of Missouri-Kansas City Xue Li, Jianrui Zheng and Lingmei Huang of the Beijing Normal University Shiwu Gao, Gongying Yuan, Zhihua Yang and Zailan Yang of the Beijing Landscape Administration Liyuan Cui of the Chinese Academy of Forestry Jinzeng Wang of the Beijing Forestry Survey and Design Institute and Wenji Zhao, Lin Zhn and Zhaoning Gong of the Capital Normal University 

主　　题：urban wetlands change remote sensing driving forces correlation analysis Beijing 

摘      要：The decision tree and the threshold methods have been adopted to delineate boundaries and features of water bodies from LANDSAT images. After a spatial overlay analysis and using a remote sensing technique and the wetland inventory data in Beijing, the water bodies were visually classified into different types of urban wetlands, and data on the urban wetlands of Beijing in 1986, 1991, 1996, 2000, 2002, 2004 and 2007 were obtained. Thirteen driving factors that affect wetland change were selected, and gray correlation analysis was employed to calculate the correlation between each driving factor and the total area of urban wetlands. Then, six major driving factors were selected based on the correlation coefficient, and the contribution rates of these six driving factors to the area change of various urban wetlands were calculated based on canonical correlation analysis. After that, this research analyzed the relationship and mechanism between the main driving factors and various types of wetlands. Five conclusions can be drawn. （1） The total area of surface water bodies in Beijing increased from 1986 to 1996, and gradually decreased from 1996 to 2007. （2） The areas of the river wetlands, water storage areas and pool and culture areas gradually decreased, and its variation tendency is consistent with that of the total area of wetlands. The area of the mining water areas and wastewater treatment plants slightly increased. （3） The six factors of driving forces are the annual rainfall, the evaporation, the quantity of inflow water, the volume of groundwater available, the urbanization rate and the daily average discharge of wastewater are the main factors affecting changes in the wetland areas, and they correlate well with the total area of wetlands. （4） The hydrologic indicators of water resources such as the quantity of inflow water and the volume of groundwater are the most important and direct driving forces that affect the change of the wetland area. These factors h