SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Inclusion of modified snow melting and flood processes in the SWAT model 
Authors:Duan, Y., T. Liu, F. Meng, M. Luo, A. Frankl, P. De Maeyer, A. Bao, A. Kurban and X. Feng 
Year:2018 
Journal:Water 
Volume (Issue):10(12) 
Pages: 
Article ID:1715 
DOI:10.3390/w10121715 
URL (non-DOI journals): 
Model:SWAT (modified) & SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:snowmelt, frozen soil and/or glacier melt processes 
Secondary Application Category:model and/or data comparison 
Watershed Description:5,600 km^2 Tizinafu River, located in the southwest part of Xinjiang Province in northwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Flooding, one of the most serious natural disasters, poses a significant threat to people’s lives and property. At present, the forecasting method uses simple snowmelt accumulation and has certain regional restrictions that limit the accuracy and timeliness of flood simulation and prediction. In this paper, the influence of accumulated temperature (AT) and maximum temperature (MT) on snow melting was considered in order to (1) reclassify the precipitation categories of the watershed using a separation algorithm of rain and snow that incorporates AT and MT, and (2) develop a new snow-melting process utilizing the algorithm in the Soil and Water Assessment Tool Model (SWAT) by considering the effects of AT and MT. The SWAT model was used to simulate snowmelt and flooding in the Tizinafu River Basin (TRB).We found that the modified SWAT model increased the value of the average flood peak flow by 43%, the snowmelt amounts increased by 45%, and the contribution of snowmelt to runoff increased from 44.7% to 54.07%. In comparison, we concluded the snowmelt contribution to runoff, flood peak performance, flood process simulation, model accuracy, and time accuracy. The new method provides a more accurate simulation technique for snowmelt floods and flood simulation. 
Language:English 
Keywords:snowmelt process; degree-day; accumulated temperature (AT); flood process; SWAT