A master's thesis at the University of Basrah discussing (the optimal management of groundwater pumping rate and optimal well locations using genetic algorithm technology and the TAPU research method)

I discussed a master's thesis at the College of Engineering at the University of Basrah

The thesis entitled (Optimum management of groundwater pumping rate and optimal well locations using genetic algorithm technology and the TAPU search method) included

For the student (Samar Abdel-Karim Karim)

The thesis aims to create a two-dimensional mathematical model to represent the movement of groundwater for the upper cradle to form the bears. He proposed a specific conceptual model for one layer, i.e. neglecting the impact of the lower aquifers. The calibration process of the model was conducted using the trial and error method according to the calibration process.

In this research, the thesis discussed the optimal management of groundwater flow, which was found through a simulation-optimization correlation model. The program MODFLOW was used to simulate groundwater flow, and then combined this model with the optimization model based on the genetic algorithm technology and the TAPU search technique. The moving well) through the implementation of the model using calibration coefficients, the target function was equal to (3.35E + 5m3/day) using GA, while the value of the target function in this case was equal to (4.00E + 5m3/day) using TS. The target function in the second case approached to The maximum value is (7.64E+05m3/day) and (8.25E+05m3/day) when using GA and TS respectively.

The results of the first and second cases showed that the total value of the pumping rate from all pumping wells using TS is better than the total value of the pumping rate using GA