Mapping of groundwater prospective zones integrating remote sensing, geographic information systems and geophysical techniques in El-Qaà Plain area, Egypt
The geospatial mapping of groundwater prospective zones is essential to support the needs of local inhabitants and agricultural activities in arid regions such as El-Qaà area, Sinai Peninsula, Egypt. The study aims to locate new wells that can serve to cope with water scarcity. The integration of re...
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| Veröffentlicht in: | Hydrogeology journal 2017-11, Vol.25 (7), p.2067-2088 |
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| description | The geospatial mapping of groundwater prospective zones is essential to support the needs of local inhabitants and agricultural activities in arid regions such as El-Qaà area, Sinai Peninsula, Egypt. The study aims to locate new wells that can serve to cope with water scarcity. The integration of remote sensing, geographic information systems (GIS) and geophysical techniques is a breakthrough for groundwater prospecting. Based on these techniques, several factors contributing to groundwater potential in El-Qaà Plain were determined. Geophysical data were supported by information derived from a digital elevation model, and from geologic, geomorphologic and hydrologic data, to reveal the promising sites. All the spatial data that represent the contributing factors were integrated and analyzed in a GIS framework to develop a groundwater prospective model. An appropriate weightage was specified to each factor based on its relative contribution towards groundwater potential, and the resulting map delineates the study area into five classes, from very poor to very good potential. The very good potential zones are located in the Quaternary deposits, with flat to gentle topography, dense lineaments and structurally controlled drainage channels. The groundwater potential map was tested against the distribution of groundwater wells and cultivated land. The integrated methodology provides a powerful tool to design a suitable groundwater management plan in arid regions. |
| doi_str_mv | 10.1007/s10040-017-1603-3 |
| format | Article |
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The study aims to locate new wells that can serve to cope with water scarcity. The integration of remote sensing, geographic information systems (GIS) and geophysical techniques is a breakthrough for groundwater prospecting. Based on these techniques, several factors contributing to groundwater potential in El-Qaà Plain were determined. Geophysical data were supported by information derived from a digital elevation model, and from geologic, geomorphologic and hydrologic data, to reveal the promising sites. All the spatial data that represent the contributing factors were integrated and analyzed in a GIS framework to develop a groundwater prospective model. An appropriate weightage was specified to each factor based on its relative contribution towards groundwater potential, and the resulting map delineates the study area into five classes, from very poor to very good potential. The very good potential zones are located in the Quaternary deposits, with flat to gentle topography, dense lineaments and structurally controlled drainage channels. The groundwater potential map was tested against the distribution of groundwater wells and cultivated land. The integrated methodology provides a powerful tool to design a suitable groundwater management plan in arid regions.</description><identifier>ISSN: 1431-2174</identifier><identifier>EISSN: 1435-0157</identifier><identifier>DOI: 10.1007/s10040-017-1603-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural management ; Agriculture ; Aquatic Pollution ; Area ; Arid regions ; Arid zones ; Banks (topography) ; Cartography ; Controlled drainage ; Cultivated lands ; Digital Elevation Models ; Distribution ; Drainage ; Drainage channels ; Drainage control ; Earth and Environmental Science ; Earth Sciences ; Environmental management ; Exploration ; Frameworks ; Geographic information systems ; Geographical information systems ; Geology ; Geomorphology ; Geophysical data ; Geophysics ; Geophysics/Geodesy ; Groundwater ; Groundwater management ; Groundwater potential ; Hydrogeology ; Hydrologic data ; Hydrology ; Hydrology/Water Resources ; Information systems ; Inhabitants ; Mapping ; Plates (structural members) ; Quaternary ; Quaternary deposits ; Remote sensing ; Satellite navigation systems ; Slope ; Spatial analysis ; Spatial data ; Topography ; Topography (geology) ; Waste Water Technology ; Water Management ; Water Pollution Control ; Water Quality/Water Pollution ; Water scarcity ; Water wells</subject><ispartof>Hydrogeology journal, 2017-11, Vol.25 (7), p.2067-2088</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Hydrogeology Journal is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a339t-40452c607a56c998cf48ac36816b19d560f4775c25e0c7b65484f0555a7310ba3</citedby><cites>FETCH-LOGICAL-a339t-40452c607a56c998cf48ac36816b19d560f4775c25e0c7b65484f0555a7310ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10040-017-1603-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10040-017-1603-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Abuzied, Sara M.</creatorcontrib><creatorcontrib>Alrefaee, Hamed A.</creatorcontrib><title>Mapping of groundwater prospective zones integrating remote sensing, geographic information systems and geophysical techniques in El-Qaà Plain area, Egypt</title><title>Hydrogeology journal</title><addtitle>Hydrogeol J</addtitle><description>The geospatial mapping of groundwater prospective zones is essential to support the needs of local inhabitants and agricultural activities in arid regions such as El-Qaà area, Sinai Peninsula, Egypt. The study aims to locate new wells that can serve to cope with water scarcity. The integration of remote sensing, geographic information systems (GIS) and geophysical techniques is a breakthrough for groundwater prospecting. Based on these techniques, several factors contributing to groundwater potential in El-Qaà Plain were determined. Geophysical data were supported by information derived from a digital elevation model, and from geologic, geomorphologic and hydrologic data, to reveal the promising sites. All the spatial data that represent the contributing factors were integrated and analyzed in a GIS framework to develop a groundwater prospective model. An appropriate weightage was specified to each factor based on its relative contribution towards groundwater potential, and the resulting map delineates the study area into five classes, from very poor to very good potential. The very good potential zones are located in the Quaternary deposits, with flat to gentle topography, dense lineaments and structurally controlled drainage channels. The groundwater potential map was tested against the distribution of groundwater wells and cultivated land. The integrated methodology provides a powerful tool to design a suitable groundwater management plan in arid regions.</description><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Aquatic Pollution</subject><subject>Area</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Banks (topography)</subject><subject>Cartography</subject><subject>Controlled drainage</subject><subject>Cultivated lands</subject><subject>Digital Elevation Models</subject><subject>Distribution</subject><subject>Drainage</subject><subject>Drainage channels</subject><subject>Drainage control</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental management</subject><subject>Exploration</subject><subject>Frameworks</subject><subject>Geographic information systems</subject><subject>Geographical information systems</subject><subject>Geology</subject><subject>Geomorphology</subject><subject>Geophysical data</subject><subject>Geophysics</subject><subject>Geophysics/Geodesy</subject><subject>Groundwater</subject><subject>Groundwater management</subject><subject>Groundwater potential</subject><subject>Hydrogeology</subject><subject>Hydrologic data</subject><subject>Hydrology</subject><subject>Hydrology/Water Resources</subject><subject>Information systems</subject><subject>Inhabitants</subject><subject>Mapping</subject><subject>Plates (structural members)</subject><subject>Quaternary</subject><subject>Quaternary deposits</subject><subject>Remote sensing</subject><subject>Satellite navigation systems</subject><subject>Slope</subject><subject>Spatial analysis</subject><subject>Spatial data</subject><subject>Topography</subject><subject>Topography (geology)</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water Quality/Water Pollution</subject><subject>Water scarcity</subject><subject>Water 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Pollution Control</topic><topic>Water Quality/Water Pollution</topic><topic>Water scarcity</topic><topic>Water wells</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abuzied, Sara M.</creatorcontrib><creatorcontrib>Alrefaee, Hamed A.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering 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journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abuzied, Sara M.</au><au>Alrefaee, Hamed A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping of groundwater prospective zones integrating remote sensing, geographic information systems and geophysical techniques in El-Qaà Plain area, Egypt</atitle><jtitle>Hydrogeology journal</jtitle><stitle>Hydrogeol J</stitle><date>2017-11-01</date><risdate>2017</risdate><volume>25</volume><issue>7</issue><spage>2067</spage><epage>2088</epage><pages>2067-2088</pages><issn>1431-2174</issn><eissn>1435-0157</eissn><abstract>The geospatial mapping of groundwater prospective zones is essential to support the needs of local inhabitants and agricultural activities in arid regions such as El-Qaà area, Sinai Peninsula, Egypt. The study aims to locate new wells that can serve to cope with water scarcity. The integration of remote sensing, geographic information systems (GIS) and geophysical techniques is a breakthrough for groundwater prospecting. Based on these techniques, several factors contributing to groundwater potential in El-Qaà Plain were determined. Geophysical data were supported by information derived from a digital elevation model, and from geologic, geomorphologic and hydrologic data, to reveal the promising sites. All the spatial data that represent the contributing factors were integrated and analyzed in a GIS framework to develop a groundwater prospective model. An appropriate weightage was specified to each factor based on its relative contribution towards groundwater potential, and the resulting map delineates the study area into five classes, from very poor to very good potential. The very good potential zones are located in the Quaternary deposits, with flat to gentle topography, dense lineaments and structurally controlled drainage channels. The groundwater potential map was tested against the distribution of groundwater wells and cultivated land. The integrated methodology provides a powerful tool to design a suitable groundwater management plan in arid regions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10040-017-1603-3</doi><tpages>22</tpages></addata></record> |
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| subjects | Agricultural management Agriculture Aquatic Pollution Area Arid regions Arid zones Banks (topography) Cartography Controlled drainage Cultivated lands Digital Elevation Models Distribution Drainage Drainage channels Drainage control Earth and Environmental Science Earth Sciences Environmental management Exploration Frameworks Geographic information systems Geographical information systems Geology Geomorphology Geophysical data Geophysics Geophysics/Geodesy Groundwater Groundwater management Groundwater potential Hydrogeology Hydrologic data Hydrology Hydrology/Water Resources Information systems Inhabitants Mapping Plates (structural members) Quaternary Quaternary deposits Remote sensing Satellite navigation systems Slope Spatial analysis Spatial data Topography Topography (geology) Waste Water Technology Water Management Water Pollution Control Water Quality/Water Pollution Water scarcity Water wells |
| title | Mapping of groundwater prospective zones integrating remote sensing, geographic information systems and geophysical techniques in El-Qaà Plain area, Egypt |
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