Abstract

Improvement of the operational HEC-HMS hydrological model embedded in the Flood Forecasting and Warning System of the Sava River Basin

Highlights

  • IntroductionSava FFWS integrates the Hydrological Informational System for Sava River Basin (Sava HIS) – data hub for the collection of real-time observed hydrological and meteorological data (precipitation, air temperature, snow, water levels, discharges); various Numerical Weather Prediction (NWP) models; available weather radar and satellite imagery; outputs of existing national forecasting systems and different hydrological and hydraulic models (Fig. 1), including the Sava HEC-HMS model as the backbone of system

  • The Sava River is the third longest and the largest by discharge tributary of the Danube River

  • Sava FFWS currently has ten users, i.e. national organizations responsible for the flood forecasting and it is hosted at five locations: primary and three backup server modules that are installed in the four Sava countries, while archive and web server in International Sava River Basin Commission (ISRBC)

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Summary

Introduction

Sava FFWS integrates the Hydrological Informational System for Sava River Basin (Sava HIS) – data hub for the collection of real-time observed hydrological and meteorological data (precipitation, air temperature, snow, water levels, discharges); various Numerical Weather Prediction (NWP) models; available weather radar and satellite imagery; outputs of existing national forecasting systems and different hydrological and hydraulic models (Fig. 1), including the Sava HEC-HMS model as the backbone of system. SRTM DEM and the GIS module of the HEC-HMS were used to generate the physical parameters of the Sava River basin such as drainage area, stream lengths, basin slopes, etc From these physical parameters, initial estimates of unit hydrograph parameters, time of concentration and storage coefficient were developed for each subbasin. Number of stations with the hourly (real-time) data exchange available in the Sava HIS / Sava FFWS

Modeling Method
Results and discussion
Conclusions and recommendations
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