Next Article in Journal
Validation of a Multilag Estimator on NJU-CPOL and a Hybrid Approach for Improving Polarimetric Radar Data Quality
Next Article in Special Issue
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Previous Article in Journal
DEM Extraction from ALS Point Clouds in Forest Areas via Graph Convolution Network
Previous Article in Special Issue
Monitoring of Urban Black-Odor Water Based on Nemerow Index and Gradient Boosting Decision Tree Regression Using UAV-Borne Hyperspectral Imagery
Open AccessArticle

Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China

by 1,2,3,4,5,6, 1,2,3,5,*, 7, 1,2,3, 7, 1,2,3, 3, 1,2,3 and 4,5,6
1
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
2
Key Laboratory of GIS & RS Application Xinjiang Uygur Autonomous Region, Urumqi 830011, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
Department of Geography, Ghent University, 9000 Ghent, Belgium
5
Sino-Belgian Joint Laboratory of Geo-information, Urumqi 830011, China
6
Sino-Belgian Joint Laboratory of Geo-information, 9000 Gent, Belgium
7
Inner Mongolia Normal University, Hohhot 010022, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 179; https://doi.org/10.3390/rs12010179
Received: 14 November 2019 / Revised: 25 December 2019 / Accepted: 31 December 2019 / Published: 3 January 2020
While mountain runoff provides great potential for the development and life quality of downstream populations, it also frequently causes seasonal disasters. The accurate modeling of hydrological processes in mountainous areas, as well as the amount of meltwater from ice and snow, is of great significance for the local sustainable development, hydropower regulations, and disaster prevention. In this study, an improved model, the Soil Water Assessment Tool with added ice-melt module (SWATAI) was developed based on the Soil Water Assessment Tool (SWAT), a semi-distributed hydrological model, to simulate ice and snow runoff. A temperature condition used to determine precipitation types has been added in the SWATAI model, along with an elevation threshold and an accumulative daily temperature threshold for ice melt, making it more consistent with the runoff process of ice and snow. As a supplementary reference, the comparison between the normalized difference vegetation index (NDVI) and the quantity of meltwater were conducted to verify the simulation results and assess the impact of meltwater on the ecology. Through these modifications, the accuracy of the daily flow simulation results has been considerably improved, and the contribution rate of ice and snow melt to the river discharge calculated by the model increased by 18.73%. The simulation comparison of the flooding process revealed that the accuracy of the simulated peak flood value by the SWATAI was 77.65% higher than that of the SWAT, and the temporal accuracy was 82.93% higher. The correlation between the meltwater calculated by the SWATAI and the NDVI has also improved significantly. This improved model could simulate the flooding processes with high temporal resolution in alpine regions. The simulation results could provide technical support for economic benefits and reasonable reference for flood prevention. View Full-Text
Keywords: SWAT; ice-melt; flood processes; accumulated temperature; NDVI; Tizinafu River Basin (TRB) SWAT; ice-melt; flood processes; accumulated temperature; NDVI; Tizinafu River Basin (TRB)
Show Figures

Graphical abstract

MDPI and ACS Style

Duan, Y.; Liu, T.; Meng, F.; Yuan, Y.; Luo, M.; Huang, Y.; Xing, W.; Nzabarinda, V.; De Maeyer, P. Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China. Remote Sens. 2020, 12, 179. https://doi.org/10.3390/rs12010179

AMA Style

Duan Y, Liu T, Meng F, Yuan Y, Luo M, Huang Y, Xing W, Nzabarinda V, De Maeyer P. Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China. Remote Sensing. 2020; 12(1):179. https://doi.org/10.3390/rs12010179

Chicago/Turabian Style

Duan, Yongchao; Liu, Tie; Meng, Fanhao; Yuan, Ye; Luo, Min; Huang, Yue; Xing, Wei; Nzabarinda, Vincent; De Maeyer, Philippe. 2020. "Accurate Simulation of Ice and Snow Runoff for the Mountainous Terrain of the Kunlun Mountains, China" Remote Sens. 12, no. 1: 179. https://doi.org/10.3390/rs12010179

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop