Title of article
SYSTEM-ANALYTICAL MODELLING: 1. DEVELOPMENT OF REGIONAL MODELS FOR MOUNTAIN RIVER RUNOFF
Author/Authors
Kirsta, Yu.B. Institute for Water and Environmental Problems - Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), Russian Federation , Puzanov, A.V. Institute for Water and Environmental Problems - Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), Russian Federation
Pages
17
From page
69
To page
85
Abstract
The method of system-analytical modeling of complex natural systems is pro-
posed to construct the regional simulation models of mountain river runoff. Using 34 mid-size
and small rivers of the Altai-Sayan mountain country as a regional case study, a universal
model of seasonal and long-term dynamics of the runoff was developed with good perfor-
mance. To calculate the seasonal runoff, four hydrological periods were specified: winter low
water, spring-summer flood, summer low water, and autumn low water. In the model, the
hydrological regime of river basins is divided into 13 standard types that correspond to the
selected groups of geosystems (landscapes). Each type of regime depends on six input fac-
tors (precipitation and air temperature for the previous and current seasons, the area and
elevation of landscapes) and is characterized by three parameters at the most for each sea-
son. The proposed hydrological model deals with spatially generalized monthly dynamics of
air temperature and precipitation expressed in percent of specified long-term mean values.
Therefore, it can be applied for any river basin of the country even under the lack of meteo-
rological information. It also uses GIS information on the relief and landscape structures of
river basins. A well-behaved version of RMSE-Standard deviation Ratio (RSR) is applied to
assess the model adequacy.
Keywords
runoff , mountain rivers , system-analytical modeling , GIS , flood , low water , Altai-Sayan
Journal title
Eurasian Journal of Mathematical and Computer Applications
Serial Year
2020
Record number
2602968
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