Chapter
May 31, 2018
World Environmental and Water Resources Congress 2018

Evaluating SWAT Potential in Simulating Watersheds in Two Different Types of Climatic Conditions

Publication: World Environmental and Water Resources Congress 2018: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management

ABSTRACT

Streamflow predication is one of the important tasks in water management. It is needed in operation and optimization of water resources, flood control, preventing dam failure, and design of hydraulic structures. Accuracy of these predictions have great influence on the water resource management and decision making. Various model and tool packages have been developed for simulation and prediction of streamflow, and soil and water assessment tool (SWAT) is one of the most applicable package. Simulation results of the SWAT indicate that this tool has deficiencies in simulating peak streamflow events of the cold regions which are generated by snow melting processes. Since global temperature is projected to be increased and the phenomena will change the snow melting characteristics in the snow dominant areas, such as the time of first melt and rate of melting. The concurrence of these processes and high precipitation will cause more flooding problems in these regions. In this study, we used a method for improving the SWAT simulation results. This method is to develop the SWAT-CUP in the steps of calibration and validation. Improved simulation results showed about 50% raised in simulating results.

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REFERENCES

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Go to World Environmental and Water Resources Congress 2018
World Environmental and Water Resources Congress 2018: Watershed Management, Irrigation and Drainage, and Water Resources Planning and Management
Pages: 438 - 447
Editor: Sri Kamojjala, Las Vegas Valley Water District
ISBN (Online): 978-0-7844-8140-0

History

Published online: May 31, 2018

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Authors

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Bahareh Shoghli [email protected]
Ph.D. Candidate, Univ. of North Dakota, College of Engineering and Mines, Dept. of Civil Engineering, 243 Centennial Dr., Stop 8115, Grand Forks, ND 58202-8115. E-mail: b[email protected]
Yeo Howe Lim, Ph.D. [email protected]
Univ. of North Dakota, College of Engineering and Mines, Dept. of Civil Engineering, 243 Centennial Dr., Stop 8115, Grand Forks, ND 58202-8115. E-mail: [email protected]
Omidreza Shoghli, Ph.D. [email protected]
Univ. of North Carolina Charlotte, William State Lee College of Engineering, Engineering Technology and Construction Management, 9201 Univ. City Blvd, NC 28223-0001. E-mail: [email protected]

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