Assessing the Sensitivity of a Model of Runoff Formation in the Ussuri River Basin


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

A physically based model of runoff formation with daily resolution has been developed for the upper part of the Ussuri basin with an area of 24400 km2 based on ECOMAG hydrological modeling platform. Two versions of the hydrological model have been studied: (1) a crude version with the spatial schematization of the drainage area and river network based on DEM 1 × 1 km with the use of soil and landscape maps at a scale of 1: 2500000 and (2) a detailed version with DEM 80 × 80 m and soil and landscape maps of the scale of 1: 100000. Each version of the model has been tested for two variants of meteorological inputs: (1) meteorological forcing data (temperature, air humidity, precipitation) at eight weather stations and (2) with the involvement of additional data on precipitation collected at 15 gages in the basin. The model has been calibrated and validated over a 34-year period (1979–2012) with the use of runoff data for the Ussuri R. and its tributaries. The results of numerical experiments for assessing the sensitivity of model hydrological response to the spatial resolution of land surface characteristics and the density of precipitation gaging stations are discussed.

About the authors

Yu. G. Motovilov

Water Problems Institute

Author for correspondence.
Email: motol49@yandex.ru
Russian Federation, Moscow, 119333

A. N. Bugaets

Pacific Institute of Geography, Far East Branch; Far Eastern Regional Hydrometeorological Institute

Email: motol49@yandex.ru
Russian Federation, Vladivostok, 690041; Vladivostok, 690091

B. I. Gartsman

Water Problems Institute; Far Eastern Regional Hydrometeorological Institute

Email: motol49@yandex.ru
Russian Federation, Moscow, 119333; Vladivostok, 690091

L. V. Gonchukov

Far Eastern Regional Hydrometeorological Institute

Email: motol49@yandex.ru
Russian Federation, Vladivostok, 690091

A. S. Kalugin

Water Problems Institute

Email: motol49@yandex.ru
Russian Federation, Moscow, 119333

V. M. Moreido

Water Problems Institute

Email: motol49@yandex.ru
Russian Federation, Moscow, 119333

Z. A. Suchilina

Water Problems Institute

Email: motol49@yandex.ru
Russian Federation, Moscow, 119333

E. A. Fingert

Water Problems Institute; Faculty of Geography

Email: motol49@yandex.ru
Russian Federation, Moscow, 119333; Moscow, 119991

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2018 Pleiades Publishing, Ltd.