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 -