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Background:
Today, the most significant mission of
the decision makers on integrated water management issues is to carry out
sustainable management for sharing the resources between a variety of users
and the environment under conditions of considerable uncertainty (such as
climate/land use/population/etc. change) conditions. In light of this
increasing water management complexity, we consider that the most pressing
needs is to develop and implement up-to-date
Spatial Decision Support Systems (SDSS) for
aiding decision-making processes to improve water management. One of the
most important parts of such an SDSS is a distributed hydrologic model-based
integrated hydroinformatics system to analyze the different scenarios.
The less successful statistical and/or empirical model-experiments of
earlier decades have highlighted the importance of paradigm shift in
hydrological modelling |
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approach towards the physically based distributed models, to
better describe the
complex
hydrological processes even on catchments of more ten thousands of square
km.
Answers to questions like what are the effects of human actions in the
catchment area (e. g. forestation or deforestation) or the changing of
climate/land use on the flood, drought, or water scarcity, or what is the
optimal strategy for planning and/or operating reservoirs, have become
increasingly important. Nowadays the answers to this kind of questions can
be provided more easily than before. The progress of mathematical methods,
the advanced state of computer technology as well as the development of
remote sensing and meteorological radar technology have accelerated the
research capable of answering these questions using well-designed integrated
hydroinformatics systems. |
