Raeisi, A., Talebi, A., Abdollahi, Kh., Torabi Haghighi, A. (2020). Effective Factors on Runoff Generation and Hydrologic Sensitivity in a Mountainous Watersheds (A Case Study: Farsan Watershed, Upstream of Karoun River). , 8(1), 15-21.
A. Raeisi; A. Talebi; Kh. Abdollahi; A. Torabi Haghighi. "Effective Factors on Runoff Generation and Hydrologic Sensitivity in a Mountainous Watersheds (A Case Study: Farsan Watershed, Upstream of Karoun River)". , 8, 1, 2020, 15-21.
Raeisi, A., Talebi, A., Abdollahi, Kh., Torabi Haghighi, A. (2020). 'Effective Factors on Runoff Generation and Hydrologic Sensitivity in a Mountainous Watersheds (A Case Study: Farsan Watershed, Upstream of Karoun River)', , 8(1), pp. 15-21.
Raeisi, A., Talebi, A., Abdollahi, Kh., Torabi Haghighi, A. Effective Factors on Runoff Generation and Hydrologic Sensitivity in a Mountainous Watersheds (A Case Study: Farsan Watershed, Upstream of Karoun River). , 2020; 8(1): 15-21.

Effective Factors on Runoff Generation and Hydrologic Sensitivity in a Mountainous Watersheds (A Case Study: Farsan Watershed, Upstream of Karoun River)

ECOPERSIA
Article 2, Volume 8, Issue 1 - Serial Number 31, 2020, Pages 15-21    PDF (1022.25 K)
Document Type: Original Research
Authors
A. Raeisi1; A. Talebi* 1; Kh. Abdollahi2; A. Torabi Haghighi3
1Watershed Management Department, Natural Resources Faculty, Yazd University, Yazd, Iran
2Watershed Management Department, Natural Resources Faculty, Shahrekord University, Shahrekord, Iran
3Water Resources & Environmental Engineering Research Department, University of Oulu, Oulu, Finland
Abstract
Aims: Affecting factors on runoff generation in mountainous areas, where the hydrological processes are complex, play an important role in the recognition of hydrological phenomena. The aim of the present study was to simulate the water balance of Farsan Basin using the SWAT model.

Materials & Methods: In this semi-distributed research, SWAT model was used to simulate the monthly runoff the basin of interest. The study area was Farsan watershed, it is the part of Beheshtabad Basin. Basin's curve number was estimated using a remotely sensed NDVI. The calibration and validation of the model were carried out by using the SUFI2 Algorithm (sequential uncertainty fitting) for two periods, one from 2001 to 2011 and another from 2012 to 2015.

Findings: The threshold depth of water in the shallow aquifer to start evaporation (REVAPMN) had the least sensitivity, while the soil evapotranspiration (ESCO), the time delay of the transferring water from the last soil profile to the groundwater level (GW_DELAY), and curve numbers in normal condition (CN2) were the most sensitive factors, respectively. To evaluate the simulation, R2 (coefficient of determination), bR2 (weight correlation coefficient), and NS (Nash Sutcliffe model efficiency) at the calibration stage were 0.63, 0.33, and 0.57, respectively. Whereas at the validation phase, these coefficients were found to be 0.69, 0.68, and 0.52, respectively.

Conclusion: A proper specification of these sensitive parameters may be the key factor for runoff simulations. The impact of change in surface parameters may have a great influence in both generating runoff and mountain hydrology.
Keywords
Hydrological Modeling; SWAT; SUFI2 Algorithm
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