الفهرس 
introductionOnly 14 pages are availabe for public view
 |  | from | 219 |  |  |
| | | from | 219 | | |
Abstract
Drainage water reuse is considered one of the most economic alternatives to provide water for agriculture. Two techniques are available for mixing drainage water with fresh water: the first is the central reuse technique and the second is the intermediate reuse one. At present time, about 5.29 (bcmly) of drainage water are reused officially, with an average salinity of about 1000 ppm, about 2.80 (bcmly) are reused unofficially in Delta region. There are 23 locations of drainage water reuse existed in Delta region. However, due to increase of pollutions in drainage water, five major mixing reuse stations are shutdown (DRI, 2002 and Naser El-Din, 1999).
The present thesis focuses on achieving the optimum intermediate drainage water reuse scheme for a drainage network. This goal is materialized through three steps:1. Suggesting suitable reuse locations on the drainage network.
2. Simulating these drainage network quality parameters using the developed program (SWQM-1).
3. Estimating the optimum reuse discharges and mixed water quality at these locations using Genetic Algorithm (GA) as an optimization tool.
The second and the third steps are incorporated in Simulation-Optimization process.Two optimization scenarios are suggested:
1- The objective of the first scenario is to maximize the sum of reuse discharges from the drains at the mixing points.
2- The other one gives a reuse scenario with a good irrigation water quality and valuable reuse quantities at the mixing points.Two objective functions sensitivity to model parameters are obtained. The (GA) is found to be a useful tool, capable of providing three keys elements: the objective function, the constraints and the decision variables. Calibration of water quality parameters is formulated as an optimization problem and is successfully done using (GA) as an optimization tool. Constraints are included successfully in the (GA) using penalty function.
Synthetic example is used initially to investigate the potential of the (GA) for such water quality parameters. A comparison between (GA) and a conventional search method is carried out. A case study is then carried out for El-Khairy drain command area to confirm Simulation-Optimization process with field data.
Results of this research demonstrate the capability of the developed water quality program (SWQM-l) in simulating the water quality properties along any network, and the capability of (GA) as an optimization tool for water quality calibration process as well as obtaining optimum reuse discharges in reuse scenarios.
Results also show that, the difference between reuse discharges of the first and second scenarios are small. The water quality properties for mixing water obtained from the second scenario is better and less salinity than that obtained from first scenario. So, the reuse discharges obtained from second scenario is recommended.