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Analysis of the Influencing Factors on Southwest Drought in China Based on Partial Least-squares Regression Method

机译:基于偏最小二乘回归方法的中国西南干旱影响因素分析

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The middle and the northern parts of Yunnan province, most of Guizhou province and the north of Sichuan province have seen a severely drought since the autumn of 2009. According to the five indicators involving artificial forestation areas, regional GDP, population density, per capita arable land and land area, 13 major cities such as Kunming are selected for samples to do statistic analysis on precipitation anomaly and mean temperature anomaly based on the method of partial least-squares regression in this paper. The result shows that land area, population density are the most important factors in the southwest drought. In addition, regional GDP and artificial forestation can not be ignored as more important factors. And accordingly make recommendations.
机译:自2009年秋季以来,云南省中北部,贵州省大部分和四川北部遭受了严重干旱。根据涉及人工造林面积,区域GDP,人口密度,人均耕地的五个指标利用偏最小二乘回归方法,选取昆明市等13个主要城市的土地和土地样本进行降水异常和平均气温异常的统计分析。结果表明,土地面积,人口密度是西南干旱的最重要因素。此外,区域国内生产总值和人工造林作为更重要的因素也不容忽视。并据此提出建议。

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