• 责任者：Deng Zhengdong (PLA University of Science and Technology ; Nanjing 210007 ; China) ; Ye Xin
• 刊名：Chinese Journal of Geophysics
• 出版年：2013
• 卷期：56(11)
• 关键词：遥感 ; remote sensing ; 找水 ; water research ; 辽东半岛 ; Liaodong Peninsula
• 页码：p.3908-3916
• 图表：5 illus., 1 table, 31 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

     In order to improve the precision of assessment sensing, perfect the evaluation content and expand the appl storage space, supply condition and surface indication of  in groundwater quantitative remote ication scope, this paper studied the groundwater through hydrogeology analysis, and selected lithology, fault density, slope, relief, flow accumulation, land temperature, and soil humility as 7 factors to evaluate groundwater potential. Took Dandong as representative and typical research area, the 7 factors 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 the R^2 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.