Ismail et al., N. (2023). Impacts of Climate Change on Water Quality using GIS Technique in Water Courses at Egyptian Delta Governorates. Egyptian Journal of Aquatic Biology and Fisheries, 27(6), 387-409. doi: 10.21608/ejabf.2023.329203
Nahed M.M. Ismail et al.. "Impacts of Climate Change on Water Quality using GIS Technique in Water Courses at Egyptian Delta Governorates". Egyptian Journal of Aquatic Biology and Fisheries, 27, 6, 2023, 387-409. doi: 10.21608/ejabf.2023.329203
Ismail et al., N. (2023). 'Impacts of Climate Change on Water Quality using GIS Technique in Water Courses at Egyptian Delta Governorates', Egyptian Journal of Aquatic Biology and Fisheries, 27(6), pp. 387-409. doi: 10.21608/ejabf.2023.329203
Ismail et al., N. Impacts of Climate Change on Water Quality using GIS Technique in Water Courses at Egyptian Delta Governorates. Egyptian Journal of Aquatic Biology and Fisheries, 2023; 27(6): 387-409. doi: 10.21608/ejabf.2023.329203
Impacts of Climate Change on Water Quality using GIS Technique in Water Courses at Egyptian Delta Governorates
The present work aimed to study the water quality of six Delta Egyptian governorates using ArcGIS maps. Compared to winter, water temperature was higher during summer in all selected governorates. Dissolved oxygen (D.O.) was higher than in summer during winter in all selected governorates. The maximum atmospheric temperature (Tmax) was higher in current work than that recorded throughout the past ten years in Damietta and Beheria governorates during spring, while it was high at Kafr El-Sheikh in autumn and summer. Tmax was directly proportional to the observed water temperature and inversely proportional to D.O. Water temperature showed negative correlations with all physicochemical parameters. Cd levels were relatively high in winter in all examined governorates. Pb level raised at Gharbia, Dakahila, and Monfia in winter and spring. Cu and Fe levels were moderately high during all seasons, while Zn levels were high and moderate in Kafr El-Seikh and Damietta in spring. The spatial distribution gave a visual picture of the main parameters affecting the water quality in the examined governorates.
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