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塔里木河下游环境退化的因子分析
引用本文:孙永强,王德忠,尹林克,徐海量.塔里木河下游环境退化的因子分析[J].中国水土保持科学,2005,3(3):22-26.
作者姓名:孙永强  王德忠  尹林克  徐海量
作者单位:中国科学院新疆生态与地理研究所,830011,乌鲁木齐
基金项目:中国科学院知识创新项目“塔里木河下游荒漠化防治与绿洲生态系统管理试验示范”(KZCX1-08-02)
摘    要: 为了研究土地荒漠化及其影响因子,对塔里木河下游沿河道布设的39个样地,进行环境退化因子分析。通过数学变换,8个观测指标被转换为3个综合指标(水分指标、沙化指标、盐化指标)。根据本地区的实际,对3个综合指标进行环境解释。依据这3个主分量的贡献率,计算塔里木河下游39个样地的因子得分,并据此进行环境退化程度(荒漠化)的分类。从因子得分结果看,塔里木河下游地区呈明显的随距大西海子水库距离的增加荒漠化程度加重的特点,引起这一结果的主要原因,是水、盐条件逐渐恶化带来的植被衰败。从分类的结果看,与该地区的实际基本相符合。这说明因子分析的方法综合了多指标的综合影响,划分的结果更加客观。

关 键 词:塔里木河下游  环境退化  因子分析
收稿时间:2004-07-12
修稿时间:2005-04-08

Factor analysis in environmental degradation at the lower reaches of Tarim river
Sun Yongqiang,Wang Dezhong,Yin Linke,Xu Hailiang.Factor analysis in environmental degradation at the lower reaches of Tarim river[J].Science of Soil and Water Conservation,2005,3(3):22-26.
Authors:Sun Yongqiang  Wang Dezhong  Yin Linke  Xu Hailiang
Institution:Xinjiang Institute of Ecology and Geography, Chinese Academic of Science, Urumqi, 830011, Urumqi, China
Abstract:The environmental degraded degree of 39 monitoring sites built along the Tarim river in the lower reaches were analyzed by using the factor analysis method, which is provided by the software of Statistical Package for the Social Science(SPSS). Through mathematic transform, the 8 observed indexes are transformed into 3 synthetic indexes. According to the fact and data invested in this area, environmental context of these synthetic indexes was given. Based on the contribution rate, the factor scores of the 39 sites are calculated, and the desertification degree is classified by its factor scores. Viewing from the consequence, the more distant from the Daxihaizi Reservoir the worse the desertification degree in the lower reaches of Tarim river. Analysis results showed that the vegetation is deteriorated with the water deficit and salt accumulated. Due to the result is suit for the fact, the method is accurate, scientific and practical for reason that it synthesizes the affect of every index.
Keywords:lower reaches of Tarim river  environmental degradation  factor analysis
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