FLOOD FORECASTING FOR THE GAREH AGHAJ BASIN USING THE WATERSHED MODELING SYSTEM

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GHASVARI M.; BOUSTANI FARDIN; ROSTAMI AMIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Water Resources Engineering Year:2011 | Volume:3 | Issue:5-6-7 Page(s): 25-43

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Title

FLOOD FORECASTING FOR THE GAREH AGHAJ BASIN USING THE WATERSHED MODELING SYSTEM

Author(s)

GHASVARI M. | BOUSTANI FARDIN | ROSTAMI AMIN | Issue Writer Certificate

Keywords

WMS MODELQ3

HEC-HMS MODELQ3

FLOODQ3

GAREH AGHAJ WATERSHEDQ3

SENSITIVITYQ2

Abstract

Flood is ranked the most disastrous natural phenomenon as it causes the highest financial damage and the largest number of casualties on the annual basis the world over. However, as it is the most important water resource in arid, semi-arid and sub-humid climates, it must be treated with respect. As the Ghareh Aghaj River is the backbone of agriculture in the southern half of the Province of Fars, acquiring reliable information on its characteristics during catastrophic events is of utmost importance. The Watershed Modeling System (WMS) is a newly developed powerful tool, which by benefiting from the geographic information system (GIS), the digital elevation model (DEM), and a few other hydrologic and hydraulic models, it can predict vital parameters urgently needed during major FLOODing. The objectives of this study were to predict, in rare events, i) the peak flow rate, ii) the time of peak flow occurrence, and iii) the runoff volume. Using the 1:25,000 scale topographic maps, the DEM, and the Topaz model, the physiographic features of the sub-basins, rivers and tributaries of the Ghareh Aghaj Basin (GAB) were delineated. Employing the HEC-HMS, unit hydrographs were constructed for all sub-basins using the rainfall-runoff data for 5 major events. It was observed that the generated results contained 11.0, 19.0, and 12.5% error for the peak flow rate, FLOODwater volume, and the time of peak flow occurrence, respectively. SENSITIVITY analysis revealed that both the peak flow rate and FLOODwater volume were more sensitive to the curve number (CN) than the delay time. This was mainly due to the effect of initial soil water content on infiltration rate and runoff generation. Furthermore, it was concluded that the Simakan sub-basin ranked first in the entire GAB in the water supplying potential rating.

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APA: Copy

GHASVARI, M., BOUSTANI, FARDIN, & ROSTAMI, AMIN. (2011). FLOOD FORECASTING FOR THE GAREH AGHAJ BASIN USING THE WATERSHED MODELING SYSTEM. WATER ENGINEERING, 3(5-6-7), 25-43. SID. https://sid.ir/paper/169490/en

Vancouver: Copy

GHASVARI M., BOUSTANI FARDIN, ROSTAMI AMIN. FLOOD FORECASTING FOR THE GAREH AGHAJ BASIN USING THE WATERSHED MODELING SYSTEM. WATER ENGINEERING[Internet]. 2011;3(5-6-7):25-43. Available from: https://sid.ir/paper/169490/en

IEEE: Copy

M. GHASVARI, FARDIN BOUSTANI, and AMIN ROSTAMI, “FLOOD FORECASTING FOR THE GAREH AGHAJ BASIN USING THE WATERSHED MODELING SYSTEM,” WATER ENGINEERING, vol. 3, no. 5-6-7, pp. 25–43, 2011, [Online]. Available: https://sid.ir/paper/169490/en

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