Monitoring of water quality for agriculture purposes using high resolution images (ASTER) : a case study from Egypt
Other Title(s)
رصد جودة المياه للأغراض الزراعية باستخدام صور عالية الدقة (ASTER) : دراسة حالة من مصر
Author
Source
Alexandria Science Exchange Journal
Issue
Vol. 39, Issue 3 (30 Sep. 2018), pp.465-477, 13 p.
Publisher
Publication Date
2018-09-30
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Life of Egypt is substantially linked to the Nile River.
The Nile River is the principal source of water in Egypt which is used for purposes such as agriculture, drinking, electricity generation and industry.
The Water Quality Index (WQI) is a valuable and simple tool for announcing and explaining massive dataobtained from any body of water.
Remote sensing can be a useful tool in the water quality monitoring.
WQI is applied, in thispaper, to evaluate suitability of Nile water for irrigation usage, in Rosetta River Nile branch, El-Beheira governorate, Egypt.
Water samples were collected from six various sites about 65 km stretch along Rosetta River Nile branch at almost equal distances, starting from Kafr El-Zayat city to Idfina Barrage.
Polyethylene plastic bottles (1 Liter capacity) were used to collect water samples.
Samples were assessed for eight (8) Chemical parameters, namely pH, electrical conductivity, Sodium, Potassium, Calcium, Magnesium, Bicarbonate and Chlorides.
The regression analysis is used to investigate the correlation between WQI and remote sensing data (ASTER images).
The results showed that the water quality index were mostly good for irrigation purposes according to FAO guidelines (WQI values between 50-100), except for site 1 which had a poor class (WQI values between 100-200) because of the artificial pollution at it.
The electrical conductivity and sodium concentration were the most important characteristics affecting the calculated water quality index of the study area.
Band 1 of ASTER images showed the highest correlation coefficient with WQI (R2 = 0.86) according to logarithmic regression analysis.
American Psychological Association (APA)
Abd al-Ati, Imad Fawzi. 2018. Monitoring of water quality for agriculture purposes using high resolution images (ASTER) : a case study from Egypt. Alexandria Science Exchange Journal،Vol. 39, no. 3, pp.465-477.
https://search.emarefa.net/detail/BIM-952659
Modern Language Association (MLA)
Abd al-Ati, Imad Fawzi. Monitoring of water quality for agriculture purposes using high resolution images (ASTER) : a case study from Egypt. Alexandria Science Exchange Journal Vol. 39, no. 3 (Jul. / Sep. 2018), pp.465-477.
https://search.emarefa.net/detail/BIM-952659
American Medical Association (AMA)
Abd al-Ati, Imad Fawzi. Monitoring of water quality for agriculture purposes using high resolution images (ASTER) : a case study from Egypt. Alexandria Science Exchange Journal. 2018. Vol. 39, no. 3, pp.465-477.
https://search.emarefa.net/detail/BIM-952659
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-952659