Groundwater Development from Remotely Sensed Soil Moisture

摘要

To extract soil hydraulic characteristics from remotely sensed (RS) soil moisture footprints, several inversion modelling-based techniques have been developed /used. Based on the collected soil parameters, hydrological models with shallow ground water (SGW) table depths in soils predict daily root zone soil moisture dynamics. The presence of SGW table depths in soils has a major impact on model performance;yet, SGW table depths are frequently unknown in the field, resulting in model output uncertainties. To circumvent these limitations, we devised a dynamic ground water (DGW) data assimilation approach that considers SGW table depths over time for estimating effective unsaturated zone soil hydraulic characteristics. Numerical studies, including synthetic and field validation trials, were conducted to verify the DGW data assimilation scheme. The Little Washita (LW) watershed in Oklahoma and the Olney (OLN)/Bondville (BOND) sites in Illinois were chosen as separate hydro climatic zones for the numerical investigations.