Research Article| November 01, 2008 Remote Sensing and GIS Approach for Water-Well Site Selection, Southwest Iran KAZEM RANGZAN; KAZEM RANGZAN 1Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran Search for other works by this author on: GSW Google Scholar ABASS CHARCHI; ABASS CHARCHI 2Department of Geology, Shahid Chamran University, Ahvaz, Iran Search for other works by this author on: GSW Google Scholar EHSAN ABSHIRINI; EHSAN ABSHIRINI 3Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran Search for other works by this author on: GSW Google Scholar JAMES DINGER JAMES DINGER 4Kentucky Geological Survey and Department of Earth and Environmental Sciences, University of Kentucky, Lexington, KY, 40506-0107 Search for other works by this author on: GSW Google Scholar Author and Article Information KAZEM RANGZAN 1Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran ABASS CHARCHI 2Department of Geology, Shahid Chamran University, Ahvaz, Iran EHSAN ABSHIRINI 3Department of Remote Sensing and GIS, Shahid Chamran University, Ahvaz, Iran JAMES DINGER 4Kentucky Geological Survey and Department of Earth and Environmental Sciences, University of Kentucky, Lexington, KY, 40506-0107 Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online ISSN: 1558-9161 Print ISSN: 1078-7275 © 2008 Association of Engineering Geologists Environmental & Engineering Geoscience (2008) 14 (4): 315–326. https://doi.org/10.2113/gseegeosci.14.4.315 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation KAZEM RANGZAN, ABASS CHARCHI, EHSAN ABSHIRINI, JAMES DINGER; Remote Sensing and GIS Approach for Water-Well Site Selection, Southwest Iran. Environmental & Engineering Geoscience 2008;; 14 (4): 315–326. doi: https://doi.org/10.2113/gseegeosci.14.4.315 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract The Pabdeh-Lali Anticline of northern Khuzestan province is located in southwestern Iran and occupies 790 km2. This structure is situated in the Zagros folded belt. As a result of well-developed karst systems in the anticlinal axis, the water supply potential is high and is drained by many peripheral springs. However, there is a scarcity of water for agriculture and population centers on the anticlinal flanks, which imposes a severe problem in terms of area development. This study combines remotely sensed (RS) data and a geographical information system (GIS) into a RSGIS technique to delineate new areas for groundwater development and specific sites for drilling productive water wells. Toward these goals, RS data were used to develop GIS layers for lithology, structural geology, topographic slope, elevation, and drainage density. Field measurements were made to create spring-location and groundwater-quality GIS layers. Subsequently, expert choice and relational methods were used in a GIS environment to conjunctively analyze all layers to delineate preferable regions and 43 individual sites in which to drill water wells. Results indicate that the most preferred areas are, in preferential order, within recent alluvial deposits, the Bakhtiyari Conglomerates, and the Aghajari Sandstone. The Asmari Limestone and other units have much lower potential for groundwater supplies. Potential usefulness of the RSGIS method was indicated when six out of nine producing wells recently drilled by the Khozestan Water and Power Authority (which had no knowledge of this study) were located in areas preferentially selected by this technique. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.