Author(s)

Zhonghua He, Xiaoxiang Chen, Hong Liang, Fasu Huang, Fang Zhao

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School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.

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.

Karst Drainage Basin; Watershed Vegetation Index; Catchment Water-Holding Ability; Catchment Water-Storing Capacity; Quantitative Model

Z. He, X. Chen, H. Liang, F. Huang and F. Zhao, "Study on Quantitative Model of Karst Drainage Basin Water-Holding Based on Principal Component Analysis: A Case Study of Guizhou, China," Advances in Remote Sensing, Vol. 2 No. 3, 2013, pp. 205-213. doi: 10.4236/ars.2013.23023.