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

HE Zhong-hua; LIANG Hong; HUANG Fa-su; ZHAO Fang

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

- Low-water Resource Retrieval in Karst Drainage Area by Remote Sensing
- Bulletin of Soiland Water Conservation Vol. 27, Issue 2, Pages: 135-139(2008)
- 作者机构：
  
  1. 贵州师范大学地理与生物科学学院,贵州,贵阳,550001
  2. 贵州省水文水资源局,贵州,贵阳,550001
  3. 白云区第三中学,贵州,贵阳,550003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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HE Zhong-hua, LIANG Hong, HUANG Fa-su, et al. Low-water Resource Retrieval in Karst Drainage Area by Remote Sensing[J]. Bulletin of Soiland Water Conservation, 2008, 27(2): 135-139.
DOI：

HE Zhong-hua, LIANG Hong, HUANG Fa-su, et al. Low-water Resource Retrieval in Karst Drainage Area by Remote Sensing[J]. Bulletin of Soiland Water Conservation, 2008, 27(2): 135-139. DOI：

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

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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