395179 - Methods for enhancing SWAT operation in simulating peak streamflow in cold regions

Tuesday, June 5
8:30 AM - 10:00 AM
Location: Greenway IJ
Co-Authors: Yeo Howe Lim, Grand Forks – University of North Dakota; Omidreza Shoghli, Charlotte – University of North Carolina at Charlotte

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 deficiency in simulating peak streamflow of the cold regions which is generated by snow melting process. 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. This trend along with more precipitation will cause more flooding problems in these regions. In this study, we used two methods for improving the SWAT simulation results. The first method is to couple artificial neural networks model with the calibrated and validated simulated data by SWAT-CUP, a utility for identifying the sensitive parameters. The second method is to develop the SWAT-CUP in the steps of calibration and validation. The results obtained from these applications will be compared and the best method for predicting peak stream flow will be identified.

Bahareh Shoghli, PhD

PhD Candidate
University of North Dakota

I attended the University of Khaje Nasir Toosi for my undergraduate study majoring in civil engineering with water engineering concentration. My interest in water resource engineering grew when I participated in the undergraduate courses in hydrology, hydraulics, sediment engineering, and climatology. Being one of the best students, I was accepted for continuing my master study on hydraulic structure engineering in Tehran University. My thesis title was “Evaluation of Earth Pressure Measurements in Three Iranian Embankment Dams”. In my thesis, I focused on the studying the behaviors and performances of embankment dams. The project, funded by the Ministry of Water, Iran Water Resources Management Organization, had an aim for finding the solutions for keeping embankment dams safe.
I commenced my Ph.D. study at the University of North Dakota in January 2014. As a Graduate Research Assistant, I have studied the causes and impacts of climate change. In summer 2014, I was accepted to work in the Department of EESP (Earth System Science & Policy), UND as a Research Assistant to investigate the subject of measuring carbon dioxide (CO2) gas by remote sensing technique in the Bakken area in North Dakota. I have gained a good experience working on this research work especially on using remote sensing satellite data for supplementing ground data in the study. I have become very interested in finding out the potential impacts of CO2 gas emissions on water resources engineering issues. I have decided to continue my research on the effects of climate change, and in particular, on what will arise from the increased CO2 on the hydrologic systems and infrastructures such as embankment dams.


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Yeo Howe Lim, PhD

Associate Professor, Department of Civil Engineering
University of North Dakota

DR. Yeo Howe Lim is an Associate Professor of Civil Engineering at University of North Dakota. He teaches fluid mechanics and courses in water resources engineeirng. He is currently conducting research in areas of open channel flows, water quality of storm runoffs, and impacts of climate change on water infrastructures.


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Omidreza Shoghli, PhD

Assistant Professor
University of North Carolina at Charlotte


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395179 - Methods for enhancing SWAT operation in simulating peak streamflow in cold regions

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