2010
DOI: 10.1016/j.jenvman.2010.03.020
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Detection and mapping of water pollution variation in the Nile Delta using multivariate clustering and GIS techniques

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Cited by 39 publications
(24 citation statements)
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“…Xu and Wunsch [29] describe foundations and current state-of-the-art of the method. The combination of network design and clustering as a data analysis technique is used for different applications in context to infrastructure such as to detect and map water pollution [30], to profile road accident hotspots [31] or to identify local wind patterns for the modelling of renewable energy systems [32]. Fazlollahi et.…”
Section: Hierarchical and Partitioning Clusteringmentioning
confidence: 99%
“…Xu and Wunsch [29] describe foundations and current state-of-the-art of the method. The combination of network design and clustering as a data analysis technique is used for different applications in context to infrastructure such as to detect and map water pollution [30], to profile road accident hotspots [31] or to identify local wind patterns for the modelling of renewable energy systems [32]. Fazlollahi et.…”
Section: Hierarchical and Partitioning Clusteringmentioning
confidence: 99%
“…279-288, doi: 10.1016/j.scitotenv.2014 8 (e.g. El-Sadek, 2010;Gohar and Ward, 2010;Shaban et al, 2010). Notably, stakeholder interviews revealed that population growth and urbanization are considered the main pressures on water resources for the next 20 years, dominant even over agricultural irrigation.…”
Section: Alexandria Areamentioning
confidence: 99%
“…DRI data were obtained on the pollutant loads entering the lake from drains during a one-year period from mid-June 2010 to mid-July 2011. The quality parameters comprise organic contamination, chemical composition, salinity and other physical properties (Shaban et al, 2010). The physical and chemical characteristics of the waters near the sea inlet, that are required to establish the open boundary of the model, are taken from periodical reports published by the Egyptian Environmental Affairs Agency (EEAA, 2011).…”
Section: Data Collection and Processing For The Coupled Modelmentioning
confidence: 99%