Predicting water level drawdown and assessment of land subsidence in Damghan aquifer by combining GMS and GEP models

摘要: It is over two decades that groundwater flow models are routinely implemented for better management of resources.Modeling with the help ground water modeling system (GMS) in Damghan plain aquifer northern Iran,which experiences declining levels and numerous environmental hazards, has demonstrated that, (a) worst case scenario theaquifer will face 320 cm drawdown by year 2019 (b) land subsidence observed mainly areas subjected to anaccelerated level rate, such as, southern part aquifer. Four different rainfall scenarios have beenmodeled demonstrate some slightly impacted climatic change contrast other arebeing influenced substantially. Together GMS, Genetic Expression Programming (GEP) Multiple Linear Regression (MLR)models were used forecast applying developing functional relations long-term drawdowndata. This segment study shows a 35.4 39.45 settlement occur if drops 295 and343 cm, respectively. research continues decline subsidencewill intensify. is, therefore, needed reduce pumping high-risk areas.