Identification of most susceptible soil parameters for Latosol under simulated acid rain stress using principal component analysis |
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| Authors: | Da-Jiong Ling Qian-Chun Huang Ying Ouyang |
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| Institution: | (1) Department of Resources and Environment, Agriculture College of Guangdong Ocean University, Zhangjiang City, Guangdong, People’s Republic of China;(2) Department of Water Resources, St. Johns River Water Management District, 4049 Reid Street/Hwy. 100 West, Palatka, FL 32178-1429, USA |
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| Abstract: | Purpose Acid rain is a problem of increasing agricultural, environmental, and ecological concerns worldwide. In recent years, coupled
studies have been conducted to evaluate impacts of simulated acid rain (SAR) on Latosol in China. However, no efforts have
been devoted to investigating which soil parameters are most sensitive to the influences of SAR. In this study, we addressed
the issue using the principal component analysis (PCA) and principal factor analysis (PFA) techniques. |
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