
Optimum Groundwater use Management Models by Genetic Algorithms in Karbala Desert, Iraq
Author(s) -
Waqed H. Hassan,
Rasul M. Khalaf
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/2/022141
Subject(s) - groundwater , aquifer , groundwater flow , environmental science , arid , economic shortage , groundwater resources , computer simulation , desert (philosophy) , water resources , current (fluid) , genetic algorithm , groundwater model , resource (disambiguation) , hydrology (agriculture) , water resource management , geology , mathematical optimization , computer science , geotechnical engineering , mathematics , simulation , ecology , computer network , linguistics , oceanography , biology , paleontology , epistemology , philosophy , government (linguistics)
Shortage in resources of water in semi-arid region as in Iraq have become an increasing extent dangerous problem. This research objective to improve a new management simulation model for resources of groundwater by linked simulation-optimization (S/O) model. The numerical responses of the 3-D numerical model were Integrated with Genetic Algorithm (GA) optimization model in order to obtain the optimal use of groundwater resources in study area of Karbala desert area in Iraq. The three-dimensional numerical simulation program is used to simulate the system of groundwater flow for Al-Dammam confined aquifer under different conditions. The development management simulation model was adopted by operating the model with considered calibrated variables for current and future periods. Results of analysis the management (S/O) models indicate that the maximum value of pumping rate is reach to (450 E05) m 3 /year). Also, the pumping rates of the wells within study area could be increased to three times the present water required, with a maximum fall reach to 7.21m in the static heads of groundwater of aquifer.