Groundwater Data Collection and Analysis in Baharia Oasis
Mohamed El-Barad1, Heba Ahmed Mosalam2, Ahmed A.Hassan3, Peter Riad4
1Mohamed El-Barad *, Construction Dept., Faculty of Engineering, Egyptian Russian University, Badr City, Cairo, Egypt.
2Heba Ahmed Mosalam, 3Energy Dept., Faculty of Engineering, Heliopolis University for Sustainable Development, Belbeis Desert Road, Cairo, Egypt.
3Ahmed A.Hassan, Irrigation and Hydraulics Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt.
4Peter Riad, Irrigation and Hydraulics Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Manuscript received on August 07, 2020. | Revised Manuscript received on August 15, 2020. | Manuscript published on August 30, 2020. | PP: 552-554 | Volume-9 Issue-6, August 2020. | Retrieval Number: F1642089620/2020©BEIESP | DOI: 10.35940/ijeat.F1642.089620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Groundwater is considered as one of the main resources especially in remote area. The ground water samples are taken from different areas in the study area (Baharia Oasis). Groundwater samples have been analyzed in specialized water quality lab. It was noticed that the iron concentration percentage is higher than the standard limit in most of areas. Using Geographic Information System, the percentage of iron concentration in different unknown areas could be predicted. The results showed that min iron concentration is 0.07 mg/l and the max is 10.5 mg/l. It is recommended to apply an oxidation process in different wells and predict the others using the same process to provide people with safe and sustain drinking water.
Keywords: Groundwater, GIS, Data Analysis, Baharia Oasis, Groundwater Sample.