Research on quantitative evaluation technique to the shallow pore water based on the remote sensing information: a case in western Liaoning

PreviousNext No AccessNear-Surface Asia Pacific Conference, Waikoloa, Hawaii, 7-10 July 2015Research on quantitative evaluation technique to the shallow pore water based on the remote sensing information: a case in western LiaoningAuthors: Wang DaQing*Deng ZhengDongDuan HuaJieXu ChunHuaYe XinWang DaQing*College of Defense Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, ChinaSearch for more papers by this author, Deng ZhengDongCollege of Defense Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, ChinaSearch for more papers by this author, Duan HuaJieCollege of Defense Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, ChinaSearch for more papers by this author, Xu ChunHuaCollege of Defense Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, ChinaSearch for more papers by this author, and Ye XinCollege of Defense Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, China and Xichang Satellite Launch Center, Xichang 615000 ChinaSearch for more papers by this authorhttps://doi.org/10.1190/nsapc2015-042 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In order to quantitatively evaluate the shallow pore water enrichment with the remote sensing technology, the seven indexes, lithology, topography, landform type, flow accumulation, surface temperature, surface humidity and vegetation coverage through the extraction of remote sensing information, are determined as the indicators. The fuzzy evaluation index SPRFAI is established, with the fuzzy membership function according to these indicators' influence to the groundwater enrichment, and with AHP to calculate the weight of each indicator. The survey data show that the determination coefficient of the index to the well yield is 0.82. The study area is quantitatively classified according to the index and region hydrological data and the on-the-spot verification suggests that the classification accuracy rate is 83.6%. Conclusion: SPRFAI and the classification system can quantitatively reflect the enrichment of shallow pore water. Keywords: remote sensing, groundwaterPermalink: https://doi.org/10.1190/nsapc2015-042FiguresReferencesRelatedDetails Near-Surface Asia Pacific Conference, Waikoloa, Hawaii, 7-10 July 2015ISSN (online):2159-6832Copyright: 2015 Pages: 501 publication data© 2015 Published in electronic format with permission by the Society of Exploration Geophysicists, Australian Society of Exploration Geophysicists, Chinese Geophysical Society, Korean Society of Earth and Exploration Geophysicists, and Society of Exploration Geophysicists of JapanPublisher:Society of Exploration Geophysicists HistoryPublished Online: 10 Jul 2015 CITATION INFORMATION Wang DaQing*, Deng ZhengDong, Duan HuaJie, Xu ChunHua, and Ye Xin, (2015), "Research on quantitative evaluation technique to the shallow pore water based on the remote sensing information: a case in western Liaoning," SEG Global Meeting Abstracts : 158-161. https://doi.org/10.1190/nsapc2015-042 Plain-Language Summary Keywordsremote sensinggroundwaterPDF DownloadLoading ...