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Open AccessArticle

Inclusion of Modified Snow Melting and Flood Processes in the SWAT Model

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
Department of Geography, Ghent University, 9000 Ghent, Belgium
College of Resources and Environment, University of Chinese Academy of Science, Beijing 100049, China
Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China
Sino-Belgian Joint Laboratory of Geo-information, 9000 Ghent, Belgium
Research Fund Flanders (FWO), 1000 Brussels, Belgium
Author to whom correspondence should be addressed.
Water 2018, 10(12), 1715;
Received: 8 November 2018 / Revised: 19 November 2018 / Accepted: 20 November 2018 / Published: 23 November 2018
(This article belongs to the Special Issue Flood Modelling: Regional Flood Estimation and GIS Based Techniques)
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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. View Full-Text
Keywords: snowmelt process; degree-day; accumulated temperature (AT); flood process; SWAT snowmelt process; degree-day; accumulated temperature (AT); flood process; SWAT

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Duan, Y.; Liu, T.; Meng, F.; Luo, M.; Frankl, A.; De Maeyer, P.; Bao, A.; Kurban, A.; Feng, X. Inclusion of Modified Snow Melting and Flood Processes in the SWAT Model. Water 2018, 10, 1715.

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