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{"id":37,"date":"2007-12-06T12:16:02","date_gmt":"2007-12-06T17:16:02","guid":{"rendered":"http:\/\/hydrogeology.glg.msu.edu\/wordpress\/2007\/12\/06\/modeling-and-monitoring-hydrologic-processes-in-large-watersheds"},"modified":"2017-10-19T11:21:26","modified_gmt":"2017-10-19T16:21:26","slug":"modeling-and-monitoring-hydrologic-processes-in-large-watersheds","status":"publish","type":"post","link":"https:\/\/hydrogeology.msu.edu\/research\/completed\/modeling-and-monitoring-hydrologic-processes-in-large-watersheds","title":{"rendered":"Modeling and Monitoring Hydrologic Processes in Large Watersheds"},"content":{"rendered":"

\"\"<\/a><\/p>\n

We have developed a novel hydrologic process model called the Integrated Landscape Hydrology Model (ILHM), which is a framework of existing and novel codes to simulate the entire hydrologic cycle at large watershed scales. ILHM is capable of modeling all the major surface and near-surface hydrologic processes including evapotranspiration, groundwater recharge, and stream discharge. In the first published application of the model, the ILHM-modeled stream flows compared favorably with measured data with a minimum of parameter calibration. It was tested for a small watershed (~130 square kilometers) in Michigan, and is currently being applied to much larger domains.<\/p>\n

\"Muskegon<\/a><\/p>\n

The figure on the left shows average simulated groundwater recharge over a 27 year period (1980-2006) for the Muskegon River Watershed in central lower Michigan. Calculated groundwater recharge values vary as much as 50% across the watershed within similar land use classes. Recharge also varies significantly between land use types.<\/p>\n

The primary ILHM code is written in the MATLAB computing environment with some routines coded in C and FORTRAN. GIS inputs in a variety of formats can be used. Time-series inputs and parameter values are stored in MySQL, and model outputs are written to disk in HDF5 format.<\/p>\n

Understanding dynamic watershed processes requires high spatial and temporal resolution simulations coupled to extensive databases of groundwater levels and stream flows. Our groundwater flow simulations are being integrated into a suite of tools to better understand the influence of land use and climate changes on water flows, nutrient fluxes to streams, and the health of aquatic ecosystems.<\/p>\n

Related Publications:<\/h3>\n