Volume 23, Issue 4 (Special Issue of Flood and Soil Erosion, Winter 2019)                   JWSS 2019, 23(4): 409-419 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Talebi A, Abyari E, Parvizi S. Prioritization of Sub-Watersheds from Flooding Viewpoint Using the SWAT Model (Arazkoose Watershed, Golestan Province). JWSS. 2019; 23 (4) :409-419
URL: http://jstnar.iut.ac.ir/article-1-3860-en.html
1. Department Watershed Management Engineering, Faculty of Natural Resources, Yazd University, Yazd, Iran. , talebisf@yazd.ac.ir
Abstract:   (3118 Views)
Flood is a natural disaster making the heavy humanistic and economic damages each year in most parts of Iran. In this research, the SWAT model performance in flood prediction and sub-basin priority was investigated in terms of flooding in Araz-Kose watershed in Golestan province. To calibrate the model, SUFI2 was applied. The calibration and validation were done for the 1991-1998 period based on the data of 2001-2009. After validation, the indices (R2, bR2, and NS) were estimated. They were equal to 0.81, 0.81 and 0.73 for calibration and 081, 0.78 and 0.64 for validation, respectively. The sensitivity analysis results showed 13 effective parameters. The curve number (CN2) was determined as the most effective parameter. For studying the flooding in a watershed, the Araz-Kose watershed was divided into six parts. Based on the obtained results from the SWAT model with different CN and F indexes (with/without considering the sub-watershed), the sixth sub-basin with 22.4% decrease in discharge was chosen as the most effective region in flooding. Meanwhile, the other sub-basins including 4, 1, 3, 5 and 2 had more flood potential, respectively.
Full-Text [PDF 609 kb]   (443 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2019/03/18 | Accepted: 2019/11/13 | Published: 2019/12/31

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2021 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb