الفهرس 
Water Quality Index
Considerations behind Modeling Study AreaOnly 14 pages are availabe for public view
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Abstract
Cairo, sits on the River Nile south of the Mediterranean Sea, has an average reach length along the river about 50 km (from Km 900 to km 950 referenced to Aswan High Dam). This area is a particular importance in the study of surface water quality because of industrial, municipal and agricultural wastes were mixing with river flow and surrounding water body thereby deteriorating the water quality. However, Cairo Drinking Water Plants (CDWPs) that takes their raw water source from Nile river need a particular attention and continuous control for their water source quality to prevent health hazards.
This study mainly aims to develop Water Quality Management Information System (WQMIS) capable of proposing the required management scenarios to improve water quality upstream CDWPs and control the pollution sources. The work tasks can be divided into three phases. In the first phase water quality index (WQI) was calculated using Canadian Water Quality Index (CWQI) in order to evaluate the water quality upstream Cairo drinking water plants. In the second phase, the mathematical model (MIKE11) was formulated to simulate various water quality parameters. In the second phase, different scenarios were proposed to predict water quality improvement. An integrated evaluation framework is developed using analytical hierarchy process of Multi Criteria Analysis (MCA) that takes four indicators into account; technical, environmental, economical and socio-community for evaluation and ranking various water quality management scenarios. MCA for different scenarios showed that the water quality management scenario focusing on treatment of CDWPs sludge instead of discharging it to Nile River is the most convenient scenario. In the third phase, WQMIS was constructed by using Microsoft Visual C programming applications to store required data for assessing and predicting the situation of the water quality status under current and future conditions.
Based on the results of this study, the developed WQMIS can be used as an effective tool to facilitate assessing, predicting water pollution and can provide easier decision making process for achieving designated water quality objectives.