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Study on Quantitative Model of Karst Drainage Basin Water-Holding Based on Principal Component Analysis: A Case Study of Guizhou, China

机译:基于主成分分析的岩溶排水盆地水控量的定量模型研究 - 以贵州,中国的案例研究

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In Karst drainage basins, there are the ground water and underground water exchanging frequently, and the shortage of water resources due to having the special double aquifer mediums and unique surface and subsurface river systematic structure. This paper is to select 20 research sampling areas coming fromGuizhouProvince, and according to the spectral characteristics of the catchment water-holding mediums and vegetations, and using the remote sensing technique, extract the watershed vegetation index. According to the principle of principal component analysis, using the software of Spss and Matlab is to analyze the impacts of watershed vegetation type on the catchment water-holding ability, and establish the principal component analysis function. Studies have shown that: 1) the watershed vegetation coverage rate plays an important role in Karst basin water-holding ability; 2) the catchment water-holding ability is the comprehensive reflection and manifestation of the Catchment Water-storing Capacity (CWC); 3) it is much better effects and higher accuracy to monitor/forecast the catchment water-holding volume by using the vegetation indices.
机译:在喀斯特排水盆地中,由于具有特殊的双含水层和独特的表面和地下河流系统结构,经常交换地下水和地下水,以及水资源的短缺。本文是选择20个研究采样区域,来自郭灌人驾游,并根据集水控水介质和植被的光谱特性,并采用遥感技术,提取流域植被指数。根据主成分分析的原理,使用SPSS和MATLAB的软件是分析流域植被类型对集水持有能力的影响,并建立主成分分析功能。研究表明:1)流域植被覆盖率在喀斯特盆地水控能力中起着重要作用; 2)集水持有能力是集水储存能力(CWC)的全面反思和表现; 3)通过使用植被指数监测/预测集水控液量的更好的效果和更高的准确性。

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