Optimal Location of well drilling using PSO and AHP Algorithms (Case Study: Mashhad Plain)

摘要: Determination of the optimal number of wells, their flowrate and their location are important issues for management of Groundwater in arid and semi-arid aquifers In this research, Particle Swarm Optimization algorithm and Analytical Hierarchical Analysis process were used to optimize the location and pumping rate of the drinking wells. The results showed that changing the location of wells due to the different thickness and water quality of the aquifers, will affect the cost of extraction and water treatment. on the other hand, the distance between the consumption area and the final destination will increase the cost of transmission, and it will Change the energy consumption of the pump in the process of water extraction and transfer. Based on the results, the cost of the optimal design has been reduced by about 10% compared to the existing design. The results also revealed that Groundwater drawdown and its quality had the highest weight coefficient. Also, the areas that had the largest drawdown, the best water quality, the shortest distance and the lowest height, had the highest weight coefficient and the areas that had the lowest drawdown, the worst water quality, the longest distance and the highest height to the place of consumption, had the lowest weight. The best location of well for drilling with respect to the priority 1 was determined. The average annual drawdown in Groundwater level in this area varies from 1. 13 to 0. 3 meters. There are 422 deep wells in this area. almost 60 of these wells had discharge rate of more than 20 liters per second and they were good option for replacing the city's drinking water supply wells.