Publication | Open Access
Anthropogenic Impacts on Water Quality of River Nile and Marine Environment, Rosetta Branch Using Geospatial Analyses
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Citations
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References
2018
Year
Environmental MonitoringEngineeringRosetta BranchLand UseAnthropogenic ImpactsWater Quality ManagementSpectral Reflectance ChangeSocial SciencesEarth ScienceWater Quality ForecastingWater ProblemFresh River NileRiver Basin ManagementGeographyWater QualityHydrologyWater ResourcesWater MonitoringSurface-water HydrologyRiver NileFlood Risk Management
Present research focused on studying water quality of three ecosystems in Rosetta branch;fresh River Nile, estuary and Sea water based on Landsat data and samples analyses. Twomultispectral Landsat images dated 26th of February 2017 and 1st of March 2018 provided thenecessary spectral data to this research. Nineteen surface water samples were collected on 18thMarch 2017 and investigated for pH, EC, silicate, phosphate, nitrite, nitrate, organic matter (OM)content and Nitrogen/Phosphorus ratio. The calibrated Landsat data, synchronized with the fieldtrip, was processed to produce Land use cover map (LULC), Vegetation (NDVI), built-up (NDBI)and salinity indices (NDSI) to highlight the human activities in the adjacent areas. Statisticalanalyses were carried out to correlate the existed land uses in 2017 with water qualitycharacteristics and to monitor spectral reflectance change in 2018 responding to water qualitychange. NDVI showed positive correlations with nitrate (0.416), nitrite (0.517), silicate (0.272)and N/P ratio (0.345) which confirmed the impact of agricultural activities on water nutrients.Although urban areas occupied 4.87 %, they contributed to water OM levels (R= 0.488). Meansof nitrite, nitrate, phosphate and N/P followed the order; Estuary > River > Sea however for OMand EC, they followed the order; Sea > Estuary > River. N/P ratio ranged from 12.91 to 31.52which indicated that phosphorus is the limiting factor for bio-growth of algae in the three studiedenvironments. In this study, innovative model for calculating water phosphate was developed in2017 which indicated a similar fluctuation in phosphate levels in 2018 within different locations.It can be concluded that remote sensing facilitates the spatial identification of the potentialsources of water pollution and helps in the qualitative assessment of nutrients and organicpollutant levels in water resources.
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