State of Colorado's StateMod
StateMod, the State of Colorado's Water Resource Planning Model, is a water
allocation and accounting model that uses the Prior Appropriation Doctrine for
comparative analyses of historic and future river basin water management policies.
Suitable for water rights and water allocation modeling, especially in the Western
United Sates, StateMod has been applied successfully to the Colorado, Gunnison,
Yampa, White, San Juan and Rio Grande River Basins for endangered species and
interstate compact evaluations. The model's operations are defined by hydrology,
water rights, and associated structures and operating rules. The model recognizes,
ranks, and locates in the basin system five types of water rights: direct flow,
instream flow, reservoir storage, well, and operational rights, and then simulates
operation of the water rights using the Prior Appropriation Doctrine (first in
time, first in right).
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StateMod Interface Displaying Gunnison Basin Data
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RTi developed the standard tools used and distributed by the State for
automating the preparation of StateMod model files from the State's HydroBase
database and other data sources. RTi also developed the StateMod graphical
user interface (GUI). As part of the Colorado River Decision Support System
(CRDSS), RTi developed StateMod data sets for the Colorado, Gunnison, San Juan,
Yampa, and White River Basins. For accurate basin system representations in the
model data sets, RTi's CRDSS work involved extensive research into the operations
of the water projects in each basin. Each basin model was calibrated for
historical conditions and then extended to develop a baseline for analysis of
current conditions and potential alternative scenarios. RTi implements StateMod
as well as other solutions for water supply and allocation modeling, and also
provides as-needed services, including review of model data sets, training,
and tool development to streamline data set preparation and the evaluation of
results.
StateMod Diversion Graph Illustrating Monthly and Daily Data
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