HR: 11:50h
AN: H21G-07    [PDF]
TI: Application of a Distributed Hydrological Model to Detect Hydrological Effect on Gravity
AU: * Hasan, S
EM: Shaakeel.Hasan@wur.nl
AF: Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Nieuwe Kanaal 11, Wageningen, 6709 PA Netherlands
AU: Boll, J
EM: jboll@uidaho.edu
AF: Department of Biological and Agricultural Engineering, University of Idaho, P.O. Box 442060, Moscow, ID 83844-2060 United States
AU: Troch, P A
EM: Peter.Troch@wur.nl
AF: Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Nieuwe Kanaal 11, Wageningen, 6709 PA Netherlands
AB: A major problem in many hydrological studies is that almost all of the stocks and fluxes in the hydrologic cycle are difficult to measure, and if measured or estimated, the accuracy often is questionable. A new generation of in-situ gravimeters and NASA's Gravity Recovery and Climate Experiment promise the possibility of tracking the movement of the water on and beneath the earth surface. A research programme was started to investigate the possibility of detecting the variations in river basin water storage from measurements of the time dependent gravity field, and to assess the accuracy of these estimations using models. In this paper we study the hydrological effect on in-situ gravity measurements by means of water balance modeling. The relatively simple GIS-based Soil Moisture Routing (SMR) model is used to compute time varying storage change of spatially distributed pixels within the observation domain of a superconducting gravity observation station near Moxa (Germany). The so-derived mass changes in the vicinity of the gravimeter are then converted into a time varying gravity signal and is compared to the observed gravity residual. It is anticipated that this approach will yield valuable insights into the interaction of hydrologically driven mass changes and the in-situ gravity measurements, allowing for a more accurate correction and/or interpretation of the data.
DE: 1829 Groundwater hydrology
DE: 1836 Hydrologic budget (1655)
DE: 1854 Precipitation (3354)
DE: 1866 Soil moisture
DE: 1875 Unsaturated zone
SC: Hydrology [H]
MN: 2003 Fall Meeting