[an error occurred while processing this directive] 世界地质 2019, 38(4) 1142-1151 DOI:   10.3969/j.issn.1004-5589.2019.04.026  ISSN: 1004-5589 CN: 22-1111/P
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本文关键词相关文章
GRSFAI
浅层地下水
干旱区
内蒙古北部
本文作者相关文章
刘永新
姜琦刚
刘伟
谷强
PubMed
Article by Liu Y
Article by Jiang Q
Article by Liu W
Article by Gu Q
利用GRSFAI预测内蒙古北部干旱地区浅层地下水分布
刘永新1,2, 姜琦刚1, 刘伟2, 谷强3
1. 吉林大学 地球探测科学与技术学院, 长春 130026;
2. 中国地质调查局 呼和浩特自然资源综合调查中心, 呼和浩特 010010;
3. 中国地质调查局 西宁自然资源综合调查中心, 西宁 810000
摘要： 为更加快速准确地预测干旱气候环境下地下水的分布规律，利用GRSFAI对地下水富水能力进行评估，针对干旱区特殊气候环境，对GRSFAI的构建指标进行了适当的修改，使其更有利于评价干旱地区地下水分布情况，最终确定地层岩性、地貌类型、地形坡度、汇流累积量和植被覆盖度5个指标构建GRSFAI。通过GF1、Landsat8 OLI数据、地形图和其他资料对5个指标进行解译和提取，利用模糊数学和层次分析方法构建了GRSFAI，对研究区内水井出水量数据与GRSFAI进行了相关性分析，相关系数达到0.77。根据研究区GRSFAI分布特征对地下水分布情况进行了预测，预测结果与验证结果相吻合，证明GRSFAI能准确反映干旱区浅层地下水分布情况，评估结果较可靠，可在同类地区寻找地下水资源工作中推广使用。
关键词： GRSFAI   浅层地下水   干旱区   内蒙古北部  
Prediction of shallow groundwater distribution in arid region of northern Inner Mongolia using GRSFAI
LIU Yong-xin1,2, JIANG Qi-gang1, LIU Wei2, GU Qiang3
1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Hohhot Center of Natural Resources Comprehensive Survey, China Geological Survey, Hohhot 010010, China;
3. Xining Center of Natural Resources Comprehensive Survey, China Geological Survey, Xining 810000, China
Abstract: In order to quickly and accurately predict the groundwater distribution rule in arid climate, GRS-FAI was used to evaluate the groundwater enrichment capacity. According to the special climatic environment of ar-id area, the parameters of GRSFAI were modified to make it more suitable for the evaluation of the groundwater sit-uation in arid areas and finally it was determined that five indexes, including lithology, geomorphic type, slope, flow accumulation and vegetation coverage were used to construct GRSFAI. These five indexes were interpreted and extracted using GF1, Landsat8 OLI data, topographic maps and other data. GRSFAI was constructed by fuzzy mathematics and analytic hierarchy process, and the correlation between water volume produced from the water bore in the study area and GRSFAI was analyzed, and the correlation coefficient was 0.77. The distribution characteris-tics of GRSFAI in the studied area were then used to predict the distribution of groundwater, and the prediction re-sults were verified. It is proved that GRSFAI can accurately reflect the distribution of shallow groundwater in arid areas, and the evaluation results are reliable. GRSFAI is recommended in the exploration of groundwater resources in similar area.
Keywords: GRSFAI   shallow groundwater   arid region   northern Inner Mongolia  
收稿日期 2019-04-09 修回日期 2019-07-14 网络版发布日期  
DOI: 10.3969/j.issn.1004-5589.2019.04.026
基金项目:

国土资源公益性行业科研专项（201511078-04）

通讯作者: 姜琦刚(1964),男,教授,博士生导师,主要从事遥感地学研究。E-mail:jiangqigang@jlu.edu.cn
作者简介:
作者Email: jiangqigang@jlu.edu.cn
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