地下水
水文地质学
地形湿度指数
水文学(农业)
环境科学
模糊逻辑
地下水流
遥感
排水密度
含水层
地质学
土壤科学
计算机科学
岩土工程
数字高程模型
人工智能
出处
期刊:Chinese Journal of Geophysics
[Wiley]
日期:2013-01-01
被引量:5
摘要
In order to improve the precision of assessment in groundwater quantitative remote sensing,perfect the evaluation content and expand the application scope,this paper studied the storage space,supply condition and surface indication of groundwater through hydrogeology analysis,and selected lithology,fault density,slope,relief,flow accumulation,land temperature,and soil humility as 7factors to evaluate groundwater potential.Took Dandong as representative and typical research area,the 7factors were extracted and interpreted from ALOS,SPOT,TM and DEM data.Fuzzy membership functions were established for the first time through analyzing each factor′s impact on groundwater enrichment,and factor weights were calculated by analytic hierarchy process(AHP)for pore water and fissure water respectively.The groundwater remote sensing fuzzy assessment index(GRSFAI)was constructed using weighted synthesis algorithm and tested by field investigation data of drilling and spring.The results showed that theR2 between GRSFAI and well/fountain quantity is 0.82/0.57. According to distribution characteristic of GRSFAI,the groundwater potential of study area was graded.It came out to be well consistent with field validation and the law of groundwater distribution.In a word,GRSFAI can well reflect groundwater enrichment,its evaluation is accurate and reliable,and has good applicability.
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