地理学报 ›› 2011, Vol. 66 ›› Issue (11): 1486-1496.doi: 10.11821/xb201111005

• 生态与环境 • 上一篇    下一篇

京津唐城市群不透水地表增长格局以及水环境效应

匡文慧1, 刘纪远1, 陆灯盛2   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. Indiana University, Indianapolis 47405, USA
  • 收稿日期:2011-01-27 修回日期:2011-03-16 出版日期:2011-11-20 发布日期:2011-11-20
  • 作者简介:匡文慧(1978-), 男, 博士, 助研。目前主要从事土地利用/覆盖变化、城市遥感应用研究工作。E-mail: kuangwh1978@sina.com
  • 基金资助:

    国家“973”计划项目(2010CB950900); 国家自然科学青年基金项目(40901224); 遥感科学国家重点实验室开放基金项目(2009KFJJ005)

Pattern of Impervious Surface Change and Its Effect on Water Environment in the Beijing-Tianjin-Tangshan Metropolitan Area

KUANG Wenhui1, LIU Jiyuan1, LU Dengsheng2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Indiana University, Indiana 47405, USA
  • Received:2011-01-27 Revised:2011-03-16 Online:2011-11-20 Published:2011-11-20
  • Supported by:

    National Basic Research Program of China, No.2010CB950900;National Nature Science Foundation of China, No.40901224; Opening Foundation of State Key Laboratory ofRemote Sensing Science, No.2009KFJJ005

摘要: 不透水地表(Impervious Surface Area,ISA) 时空格局是城市化与全球环境变化交互影响下的土地利用/覆盖变化—生态系统过程—区域气候变化相互作用机理以及导致的环境效应研究的重要内容。如何快速准确地实现区域尺度不透水地表遥感信息的获取是上述研究面临的重要瓶颈问题。本研究嵌入中国LUCC 信息改进了基于MODIS NDVI 与夜间灯光指数(DMSP-OLS) 提取不透水地表信息的方法,反演了2000 年与2008 年京津唐城市群2 期250 m不透水地表信息,进而分析其变化的时空格局,结合子流域单元与河流污染物监测数据评价其对海河流域地表水环境的影响。结论表明:受环渤海经济区,天津滨海新区开发等政策的影响,京津唐城市群在21 世纪初8 年不透水地表沿着城—乡梯度带、城市交通廊道及海岸带高速增长。城乡建设用地不透水地表增长呈现显著的时空差异特征,由于北京市受人口-资源-环境的压力,产业发展不断向周边地区转移,天津与河北唐山、廊坊、秦皇岛三市具有更快的不透水地表增长速度。京津唐城市群城市高密度的不透水地表分布对于海河流域地表水环境产生严重影响,不透水地表的增长加剧了流域河流水质的污染程度。同时也发现,子流域不透水地表面积比例与COD、NH3-N浓度均值呈现显著的线性关系。

关键词: 不透水地表, 水环境, 城市, 遥感, 京津唐城市群

Abstract: The impervious surface area (ISA) at the regional scale is one of important environmental factors for examining the interaction and mechanism of Land Use/Cover Change (LUCC) - ecosystem processes - regional climate change under the interactions of urbanization and global environment change. The timely and accurate extraction of ISA from remotely sensed data at the regional scale is becoming a bottle-neck issue. This study improved the MODIS NDVI and DMSP-OLS based ISA extraction method by incorporating LULC information of China. ISA datasets in Beijing-Tianjin-Tangshan Metropolitan Area (BTTMA) in 2000 and 2008 at a spatial resolution of 250 m were developed, their spatial-temporal changes were analyzed, and their impacts on water quality were evaluated. The results indicated that ISA in BTTMA has rapidly increased along urban fringe and urban transportation corridors and coastal belt both in intensity and extents from 2000 to 2008. The growth rates of ISA in Tianjin and three cities (Tanshan, Langfang, and Qinhuangdao) in Hebei Province were greater than that in Beijing. The ISA increase has great impacts on water quality; particularly, the water pollution in the Haihe River has deteriorated due to the increase and intensification of impervious surface areas.

Key words: impervious surface, water environment, urban area, remote sensing, Beijing-Tianjin-Tangshan Metropolitan Area