喀斯特流域枯水资源遥感反演
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贵州省青年基金(黔教科2006307);贵州省科技基金〔黔科合J字(2005)2085号〕


Low-water Resource Retrieval in Karst Drainage Area by Remote Sensing
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    摘要:

    喀斯特流域是由独特的地貌、水系结构及水文动态过程组成的地域综合体。影响喀斯特流域持水供水能力的因素复杂多样,除岩性、地貌、植被等因素外,喀斯特流域地貌特征也是影响喀斯特流域持水、保水和供水的重要因素。根据贵州省ASTER影像,利用RS和GIS技术,提取了DEM数据。以DEM数据、TM影像和CBERS影像为基础,选取28个喀斯特流域,分析了影响喀斯特流域持水供水的十大因素,并进行量化处理。借助MATLAB和SPSS软件进行数据处理和分析,构建了喀斯特流域枯水资源遥感反演模型,通过方差分析和样区检验,取得了很好的识别效果。

    Abstract:

    Karst drainage area is a regional synthesis which is made up of spatial drainage boundary,unique landform,and river system structure,as well as hydrologic dynamic processes.It has its own special drainage structure.Thus,there are complicated and diversified factors that influence the karst drainage abilities of holding water and supplying water.Besides rock,geomorphology,and vegetation,the karst basin feature is also a very important factor for holding water,conservancing water,and supplying water.DEM data were extracted from Guizhou ASTER images by applying RS and GIS.Based on DEM,TM,and CBERS,28 karst drainage areas were selected to analyze the ten main factors that affect water holding and water supplying.In addition,quantitative analysis was made for the factors.A remote sensing retrieval model was then constructed by applying SPSS and MATLAB software to data processing and analysis.Sound retrieval effects were achieved through ANOVA and test of sample regions.

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贺中华,梁虹,黄法苏,赵芳.喀斯特流域枯水资源遥感反演[J].水土保持通报,2008,(2):135-139

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  • 收稿日期:2007-10-17
  • 最后修改日期:2007-11-26
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  • 在线发布日期: 2014-11-26
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