considered as one of the most important natural resources in social
especially for supporting domestic, agricultural and industrial uses.
the last decade, due to the increase of human activities, such as
and industrialization, the social impacts on the natural environment
more and more intensive. Therefore, recently, water problems compared
become more complicated. To deal with the complex problem, since 1970s,
from the companies, people recognized that the Decision Support System
has obvious advantages Moreover, with the development of computer
web techniques, the DSS are commonly applied for supporting the local
makers to manage the region natural resources especially the water
modelling in charge of representing the catchment characteristics plays
significant role in the Environment Decision Support System (EDSS).
different kinds of models, the deterministic distributed hydrological
able to describe the real condition of the study area in more detail
accurate way. However, the only obstacle to limit the applications of
of model is pointed to the large data requirement requested by its
In this study of hydrological modelling
assessment in AquaVar project, one deterministic distributed model
is built for the whole Var catchment with less field information
the area. Through one reasonable modelling strategy, several
conceived to solve the missing data problems within daily and hourly
intervals. The simulation is calibrated in both daily and hourly time
from 2008 to 2011, which contains one extreme flood event at 2011. Due
impacts of missing data on both model inputs and observations, the
of modelling calibration is not only based on the statistic
as Nash coefficient, but also effected by some physical factors (e.g.
values and total discharge). The calibrated model is able to describe
condition of Var hydrological system, and also represent the unusual
in the catchment such as flood and drought event. The validation
implemented from 2011 to 2014 within both daily and hourly time
further proves the good performance of the simulation in Var.
The MIKE SHE simulation in Var is one of the main
parts of the deterministic distributed modelling system in the EDSS of
After the calibration and validation, the model could be able to use
forecasting the impacts of coming meteorological events (e.g. extreme
this region and producing the boundary conditions for other
distributed models in the system. The design of the EDSS architecture,
modelling strategy and modelling evaluation process presented in this
could be applied as one standard working process for solving the
problems in other region.