2011
DOI: 10.13031/2013.36265
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of SWAT for Sediment Prediction in a Mountainous Snowmelt-Dominated Catchment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…Mountainous areas with complex terrain are widely distributed in the Xinjiang region [18][19][20]. During the spring, temperatures warm significantly, with a corresponding increase in the frequency of flooding [21].…”
Section: Introductionmentioning
confidence: 99%
“…Mountainous areas with complex terrain are widely distributed in the Xinjiang region [18][19][20]. During the spring, temperatures warm significantly, with a corresponding increase in the frequency of flooding [21].…”
Section: Introductionmentioning
confidence: 99%
“…According to previous research, mountain torrents account for 70% of the casualties and more than 50% of the economic losses caused by floods [57,58,59,60]. The region’s many mountainous areas and the complex terrain in Xinjiang [61,62,63] also contribute to the distinctive climatic conditions and hydrological events. In high-altitude mountainous areas with scarce vegetation, snow falls more in the winter and precipitation is reduced in the spring [64].…”
Section: Study Area and Datamentioning
confidence: 99%
“…In addition to the methods proposed in Meng et al [18], there are recent publications that use models developed to implement the snow-runoff process. The well-known SWAT model has also been widely used in recent publications [1,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Xie et al [15] develops a progressive segmented optimization algorithm to calibrate the temporal variation parameters of the snowmelt-runoff model.…”
Section: Introductionmentioning
confidence: 99%