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GSSHA (Gridded Surface/Subsurface Hydrologic Analysis) [1] is a two-dimensional, physically based watershed model developed by the Engineer Research and Development Center of the United States Army Corps of Engineers. It simulates surface water and groundwater hydrology, erosion and sediment transport.
Version 9.2 introduced the use of XMDF (eXtensible Model Data Format), which is a compatible extension of HDF5. XMDF files are smaller and allow faster access times than ASCII files. The Watershed Modeling System (WMS) is a proprietary water modeling software application used to develop watershed computer simulations.
The program is a generalized modeling system capable of representing many different watersheds. A model of the watershed is constructed by separating the water cycle into manageable pieces and constructing boundaries around the watershed of interest. Any mass or energy flux in the cycle can then be represented with a mathematical model. In most ...
Vflo output is in the form of hydrographs at selected drainage network grids, as well as distributed runoff maps covering the watershed. Model applications include civil infrastructure operations and maintenance, stormwater prediction and emergency management, continuous and short-term surface water runoff, recharge estimation, soil moisture ...
A time series can be applied to a polygon, or a series of polygons. Alternatively a rainfall grid can be applied. This is particularly useful for applying RADAR rainfall. ANUGA can model culverts and bridges with code from the open source Watershed Bounded Network Model (WBNM){Boyd, Rigby, VanDrie}, having a pipe, box and trapezoid routine.
Watershed delineation is the process of identifying the boundary of a watershed, also referred to as a catchment, drainage basin, or river basin. It is an important step in many areas of environmental science, engineering, and management, for example to study flooding, aquatic habitat, or water pollution.
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3D structural geological modeling CGRE Institute, RWTH Aachen - Miguel de la Varga LGPL v3: Cross-platform: Python: Open-source implicit geological modeling that allows for automation of model construction and is aimed to enable the implementation of probabilistic machine-learning methods, e.g. for uncertainty analysis.