Title of article :
Model integration for assessing future hydroclimate impacts on
water resources, agricultural production and environmental quality
in the San Joaquin Basin, California
Author/Authors :
N.W.T. Quinn a، نويسنده , , b، نويسنده , , ?، نويسنده , , L.D. Brekke b، نويسنده , , N.L. Miller a، نويسنده , , T. Heinzer c، نويسنده , , H. Hidalgo، نويسنده , , J.A. Dracup b، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2004
Abstract :
The US National Assessment of the Potential Consequences of Climate Variability and Change provides compelling arguments
for action and adaptive measures to help mitigate water resource, agricultural production and environmental quality impacts of
future climate change. National resource planning at this scale can benefit by the development of integrated impact analysis toolboxes
that allow linkage and integration of hydroclimate models, surface and groundwater hydrologic models, economic and environmental
impact models and techniques for social impact assessment. Simulation models used in an assessment of climate change impacts
on water resources, agriculture and environmental quality in the San Joaquin Basin of California are described in this paper as well
as the challenges faced in linking the component models within an impacts assessment toolbox. Results from simulations performed
with several of the tools in the impacts assessment toolbox are presented and discussed. After initially attempting model integration
with the public domain, GIS-based modeling framework Modular Modeling System/Object User Interface (MMS/OUI), frustration
with the framework’s lack of flexibility to handle monthly timestep models prompted development of a common geodatabase to
allow linkage of model input and output for the linked simulation models. A GIS-based data browser was also developed that
works with both network flow models and makes calls to a model post-processor that shows model output for each selected node
in each model network. This data and output browser system is flexible and can readily accommodate future changes in the model
network configuration and in the model database.
Keywords :
climate change , Water resources , modeling , Impact assessment
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software