Detection and mapping of water pollution variation in the Nile Delta using multivariate clustering and GIS techniques
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In: Journal of Environmental Management, Vol. 91, No. 8, 01.08.2010, p. 1785-1793.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Detection and mapping of water pollution variation in the Nile Delta using multivariate clustering and GIS techniques
AU - Shaban, Mohamed
AU - Urban, Brigitte
AU - El Saadi, Aiman M.K.
AU - Faisal, Mohamed
PY - 2010/8/1
Y1 - 2010/8/1
N2 - The limited water resources of Egypt lead to widespread water-stress. Consequently, the use of marginal water sources, such as agricultural drainage waters, provides one of the national feasible solutions to the problem. However, the marginal quality of the drainage waters may restrict their use.The objective of this research is to develop a tool for planning and managing the reuse of agricultural drainage water for irrigation in the Nile Delta. This is achieved by classifying the pollution levels of drainage water into several categories using a statistical clustering approach that may ensure simple but accurate information about the pollution levels and water characteristics at any point within the drainage system.The derived clusters are then visualized by using a Geographical Information System (GIS) to draw thematic maps based on the entire Nile Delta, thus making GIS as a decision support system. The obtained maps may assist the decision makers in managing and controlling pollution in the Nile Delta regions. The clustering process also provides an effective overview of those spots in the Nile Delta where intensified monitoring activities are required. Consequently, the obtained results make a major contribution to the assessment and redesign of the Egyptian national water quality monitoring network.
AB - The limited water resources of Egypt lead to widespread water-stress. Consequently, the use of marginal water sources, such as agricultural drainage waters, provides one of the national feasible solutions to the problem. However, the marginal quality of the drainage waters may restrict their use.The objective of this research is to develop a tool for planning and managing the reuse of agricultural drainage water for irrigation in the Nile Delta. This is achieved by classifying the pollution levels of drainage water into several categories using a statistical clustering approach that may ensure simple but accurate information about the pollution levels and water characteristics at any point within the drainage system.The derived clusters are then visualized by using a Geographical Information System (GIS) to draw thematic maps based on the entire Nile Delta, thus making GIS as a decision support system. The obtained maps may assist the decision makers in managing and controlling pollution in the Nile Delta regions. The clustering process also provides an effective overview of those spots in the Nile Delta where intensified monitoring activities are required. Consequently, the obtained results make a major contribution to the assessment and redesign of the Egyptian national water quality monitoring network.
KW - Environmental planning
UR - http://www.scopus.com/inward/record.url?scp=77953289395&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2010.03.020
DO - 10.1016/j.jenvman.2010.03.020
M3 - Journal articles
C2 - 20413208
VL - 91
SP - 1785
EP - 1793
JO - Journal of Environmental Management
JF - Journal of Environmental Management
SN - 0301-4797
IS - 8
ER -