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中国沙漠 ›› 2017, Vol. 37 ›› Issue (3): 562-570.DOI: 10.7522/j.issn.1000-694X.2016.00077

• 水文与水资源 • 上一篇    下一篇

1999-2013年民勤绿洲地下水埋深年际变化动态及影响因素

杨怀德1,2, 冯起1, 郭小燕1   

  1. 1. 中国科学院西北生态环境资源研究院 内陆河流域生态水文重点实验室, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2016-03-17 修回日期:2016-06-07 出版日期:2017-05-20 发布日期:2017-05-20
  • 通讯作者: 冯起(E-mail:qifeng@lzb.ac.cn)
  • 作者简介:杨怀德(1985-),男,甘肃定西人,博士研究生,主要从事生态经济研究。E-mail:huaideyang@lzb.ac.cn
  • 基金资助:
    中国科学院创新国际团队项目(Y42AC71001)

Variation of Groundwater Depth and Its Influence Factors in the Minqin Oasis in 1999-2013

Yang Huaide1,2, Feng Qi1, Guo Xiaoyan1   

  1. 1. Key Laboratory of Eco-hydrology of Inland river Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-03-17 Revised:2016-06-07 Online:2017-05-20 Published:2017-05-20

摘要: 为探究内陆河下游绿洲地下水动态变化规律,以民勤绿洲1999-2013年实测数据,在对绿洲地下水年际尺度埋深动态及潜在影响因素进行描述性统计分析的基础上,运用主成分分析法提取12个影响地下水埋深的主要因素,并采用灰色关联度方法分析了地下水埋深对各影响因子的敏感程度。结果表明:(1)绿洲地下水埋深总体呈逐年增加趋势,且不同区域、不同时期有明显差异;(2)民勤绿洲地下水埋深动态对12个因子的敏感程度依次为化肥使用量 >农膜覆盖面积 >年平均气温 >年末耕地总面积 >人口规模 >经济作物种植面积 >有效灌溉面积 >森林面积 >降水量 >蒸发量 >生产用电度数 >大牲畜年存栏量。

关键词: 地下水埋深, 影响因子, 主成分分析, 灰色关联度分析, 民勤绿洲

Abstract: To further understand the groundwater dynamics in the oasis of the lower reaches of the inland river basin, taking the Minqin Oasis as an example. Firstly, statistics description of the groundwater depth inter-annual scale changes was based on the field survey data from 1999 to 2013; Then 12 potential influence factors of groundwater depth was extracted by the principal component analysis (PCA) method, and the grey correlation analysis (GCA) method was utilized to analyze the sensitivity degree between each influenced factor and groundwater depth. The result showed that: (1)The groundwater depth of the whole oasis showed a rising tendency year by year, whereas there were obvious differences in different regions and periods; (2)The sensitive degree of these correlated factors to the groundwater depth from high to lower in turn as the amount of chemical fertilizer consumption, area of the agricultural plastic mulch films covered, annual mean temperature, total area of cultivated land, population size, planted area of cash crops, effective irrigation area, area of forests, annual precipitation, evaporation, power consumption in agricultural production, amount of large livestock.

Key words: groundwater depth, influence factors, PCA, GCA, Minqin Oasis

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