Developing empirical monthly groundwater recharge equations based on modeling and remote sensing data – Modeling future groundwater recharge to predict potential climate change impacts

摘要: Abstract Groundwater recharge is one of main components the water budget that difficult to quantify due complexity processes and limited observations. In present work a simple regression equation for monthly groundwater estimation developed by relating simulated from calibrated Soil Water Assessment tool (SWAT) model effective precipitation. Monthly actual evapotranspiration (AET) were computed applying ten year period (2005–2015) in Vosvozis river basin NE Greece. SWAT results compared remotely sensed AET values MODerate Resolution Imaging Spectroradiometer (MODIS), indicating integrity modeling process. isotopes 2H 18O, originally presented herein, used infer resources provided additional evidence applicability formula. Results showed method can be effectively applied using MODIS data, without having adhere numerical which many times constrained lack available data especially poorly gauged basins. Future trends up 2100 an ensemble five downscaled climate change projections indicated annual will increase middle century gradually decrease thereafter. However, predicted magnitude highly variable depending on Global Climate Model (GCM) used. While winter likely future, summer expected as result temperature rise future.