Locating optimal position of artificial recharge wells in aquifer using grey wolf optimization algorithm and isogeometric numerical method

Abstract The construction of injection wells is one the direct methods artificial recharge and determining their optimal location important issues that are discussed in topics projects related to rehabilitation aquifers. In this research, a simulation–optimization model was proposed determine using Isogeometric analysis (IGA) numerical Grey wolf optimization algorithm (GWO). regard, first, groundwater based on created simulate flow hypothetical aquifer. Finally, after ensuring accuracy simulator model, 10 evaluated under two scenarios different values hydraulic conductivity specific yield. simulation computed three error criteria ME, MAE RMSE were evaluation which equaled −0.96%, 1.11%, 0.0146 m, respectively. achieved results showed has high accuracy. IGA-GWO indicated constructing location, table average rises more than 50 cm both scenarios. also due change aquifer yield regions defined boundary conditions problem, with Also, drops will increase table.