Research Article Open Access

Investigation of Climatological Components on Runoff Modeling using SWAT

Hamid-Reza Rabiefar1, Sayed-Reza Alvankar2 and Kaveh Ostad-Ali-Askari3
  • 1 Islamic Azad University, Iran
  • 2 Hydro-Technical Engineering Consultant Company, Canada
  • 3 Isfahan University of Technology, Iran

Abstract

It was planned most hydraulic projects, for instance barriers, it was defined the overflow of the rivers. If the river absences any position to measure the yield, the hydraulic models can be utilized to estimate it. SWAT is widely-used computerized mockups. It was required to feed such influential climatological information as precipitation, temperature, wind speed, solar radiation and relative humidity, in addition to, watershed information with the curve number and roughness constant to compute the watershed runoff. Watershed contain few climate positions and it was dangerous that the registered data in a position was not characterized the entire watershed. Consequently, the amount of the runoff estimation fault wants to be defined. This research considers the sensitivity of the runoff estimation for rivers, Using the SWAT prototypical, based on differences in such climatological components as precipitation, solar radiation, wind, humidity and temperature. The obtained consequences specify that with a 30.46% decline in the average monthly precipitation, sunshine, relative humidity, wind and temperature, it was set ermined 64.73% decline, 115.14% rise, 45.99% reduce, 126.58% rise and 40.15% rise in modeled runoff, individually. The wind speed and the solar radiation are the most sensitive and temperature is the least sensitive parameters in the runoff estimation.

American Journal of Engineering and Applied Sciences
Volume 13 No. 4, 2020, 846-857

DOI: https://doi.org/10.3844/ajeassp.2020.846.857

Submitted On: 18 July 2020 Published On: 30 December 2020

How to Cite: Rabiefar, H., Alvankar, S. & Ostad-Ali-Askari, K. (2020). Investigation of Climatological Components on Runoff Modeling using SWAT. American Journal of Engineering and Applied Sciences, 13(4), 846-857. https://doi.org/10.3844/ajeassp.2020.846.857

  • 2,170 Views
  • 740 Downloads
  • 0 Citations

Download

Keywords

  • Meteorological Parameters
  • Rainfall Runoff
  • Sensitivity Analysis
  • SWAT
  • Watershed Yield