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dc.contributor.authorAli, Tarig
dc.contributor.authorMortula, Maruf
dc.contributor.authorAtabay, Serter
dc.date.accessioned2018-11-04T07:56:00Z
dc.date.available2018-11-04T07:56:00Z
dc.date.issued2017-01
dc.identifier.citationAli, Tarig, Maruf Mortula, and Serter Atabay. "Monitoring and Assessment of Water Quality of a Coastal Lake using High Resolution Imagery and GIS." Pollution Research (2016):36. 8-17. [Comment: INDEXED IN SCOPUS]en_US
dc.identifier.issn0257–8050
dc.identifier.urihttp://hdl.handle.net/11073/16301
dc.description.abstractDubai has been an example of rapid development in recent years, adversely affecting water quality in the surrounding areas. One such effect is the reoccurring algal bloom (high chlorophyll-a concentration) in Dubai Creek, a coastal lake in Dubai. The objectives of this study were to retrieve chlorophyll-a from Dubai Sat-1 imagery and to further investigate its relationship to different nutrients in the creek. Spectral models of chlorophyll-a were developed from two DubaiSat-1 images acquired in 2010 and 2011. The models showed high correlation (R-squared values of 87.7%and 89.1%, respectively) with field water quality data collected at the monitoring stations operated by Dubai Municipality. Exploratory Regression (ER) analysis was then performed in GIS to study the relationship between spectral-based chlorophyll-a and nutrients. Although the ER nalysis showed low overall correlation, relatively high R-squared values were obtained at the Sewage Treatment Plant outfall location.en_US
dc.language.isoen_USen_US
dc.publisherResearchGateen_US
dc.relation.ispartofseriesPollution Researchen_US
dc.relation.urihttps://www.researchgate.net/publication/318594635_Monitoring_and_assessment_of_water_quality_of_a_coastal_lake_using_high_resolution_imagery_and_GISen_US
dc.subjectDubai creeken_US
dc.subjectDubai sat-1en_US
dc.subjectExploratory regressionen_US
dc.subjectSpatial autocorrelationen_US
dc.titleMonitoring and Assessment of Water Quality in Coastal Lake using High Resolution Imagery and GISen_US
dc.typeArticleen_US


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