Optimum site selection for groundwater wells using integration between GIS and hydrogeophysical data
Joint Authors
Aziz, Nadiyah Ahmad
Abd al-Razzaq, Zaydun Taha
Hasan, Raghad Hadi
Source
Engineering and Technology Journal
Issue
Vol. 36, Issue 6A (30 Jun. 2018), pp.596-602, 7 p.
Publisher
Publication Date
2018-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
This paper aim to select the best site to drill a groundwater wells by using of Geographic Information System (GIS) as a tool for decision-making.
The study conducted in Fadak farm in Bahr Al-Najaf which is located west and southwest of Najaf city, and extends more than (40 km) away from it, to drill a new wells for irrigations usages.
The optimal location selected depending on the available hydrogeophysical data includes resistivity, depth, thickness and transmissivity of aquifer.
The weighted factor maps generated for the evidence layers were given weights depending on the significance of each parameter, these parameters were integrated in GIS to precisely to find the preferable sites.
Finally, region was divided in to three classes; good medium, and bad according to the importance of each input factors using an overly combing method.
American Psychological Association (APA)
Aziz, Nadiyah Ahmad& Hasan, Raghad Hadi& Abd al-Razzaq, Zaydun Taha. 2018. Optimum site selection for groundwater wells using integration between GIS and hydrogeophysical data. Engineering and Technology Journal،Vol. 36, no. 6A, pp.596-602.
https://search.emarefa.net/detail/BIM-832022
Modern Language Association (MLA)
Aziz, Nadiyah Ahmad…[et al.]. Optimum site selection for groundwater wells using integration between GIS and hydrogeophysical data. Engineering and Technology Journal Vol. 36, no. 6A (2018), pp.596-602.
https://search.emarefa.net/detail/BIM-832022
American Medical Association (AMA)
Aziz, Nadiyah Ahmad& Hasan, Raghad Hadi& Abd al-Razzaq, Zaydun Taha. Optimum site selection for groundwater wells using integration between GIS and hydrogeophysical data. Engineering and Technology Journal. 2018. Vol. 36, no. 6A, pp.596-602.
https://search.emarefa.net/detail/BIM-832022
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 601-602
Record ID
BIM-832022