title: Groundwater recharge at five representative sites in the Hebei Plain, China.
abstract: Accurate estimates of groundwater recharge are essential for effective management of groundwater, especially when supplies are limited such as in many arid and semiarid areas. In the Hebei Plain, China, water shortage is increasingly restricting socioeconomic development, especially for agriculture, which heavily relies on groundwater. Human activities have greatly changed groundwater recharge there during the past several decades. To obtain better estimates of recharge in the plain, five representative sites were selected to investigate the effects of irrigation and water table depth on groundwater recharge. At each site, a one-dimensional unsaturated flow model (Hydrus-1D) was calibrated using field data of climate, soil moisture, and groundwater levels. A sensitivity analysis of evapotranspirative fluxes and various soil hydraulic parameters confirmed that fine-textured surface soils generally generate less recharge. Model calculations showed that recharge on average is about 175 mm/year in the piedmont plain to the west, and 133 mm/year in both the central alluvial and lacustrine plains and the coastal plain to the east. Temporal and spatial variations in the recharge processes were significant in response to rainfall and irrigation. Peak time-lags between infiltration (rainfall plus irrigation) and recharge were 18 to 35 days in the piedmont plain and 3 to 5 days in the central alluvial and lacustrine plains, but only 1 or 2 days in the coastal plain. This implies that different time-lags corresponding to different water table depths must be considered when estimating or modeling groundwater recharge.
authors.affiliation: MOE Key Laboratory of BGEG, Institute of Water Resources and School of Environmental Studies, China University of Geosciences, Wuhan, Hubei 430074, China.
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Lu
authors.forename: Menggui
authors.initials: M
authors.lastname: Jin
authors.forename: Martinus Th
authors.initials: MT
authors.lastname: van Genuchten
authors.forename: Bingguo
authors.initials: B
authors.lastname: Wang
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D008962:Models, Theoretical; D014872:Water Movements