Natural groundwater recharge is inherently difficult to quantify and predict, largely because it comprises a series of processes that are spatially distributed and temporally variable. Infiltration ponds used for managed aquifer recharge (MAR) provide an opportunity to quantify recharge processes across multiple scales under semi-controlled conditions. We instrumented a 3-ha MAR infiltration po...

[1] Understanding climate, vegetation, and soil controls on recharge is essential for estimating potential impacts of climate variability and land use/land cover change on recharge. Recharge controls were evaluated by simulating drainage in 5-m-thick profiles using a one-dimensional (1-D) unsaturated flow code (UNSAT-H), climate data, and vegetation and soil coverages from online sources. Soil ...

1Infectious Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran 2Department of Modern Sciences and Technologies, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran *Corresponding author: Seyed Hossein Shahcheraghi, Infectious Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran, Tel: + 98-9132531389; E-mail...

1Department of Mathematics, Hubei University for Nationalities, Enshi, Hubei 445000, China 2Department of Mathematics, Yazd University, P.O. Box 89195-741, Yazd, Iran 3Institute of Mathematics and Computer Science, Wroclaw University of Technology, 50-370 Wroclaw, Poland 4Department of Mathematics Education, Gyeongsang National University, Jinju 660-701, Republic of Korea 5Department of Mathema...

Ground water recharge is often estimated through the calibration of ground water flow models. We examine the nature of calibration errors by considering some simple mathematical and numerical calculations. From these calculations, we conclude that calibrating a steady-state ground water flow model to water level extremes yields estimates of recharge that have the same value as the time-varying ...