2018
DOI: 10.3390/w10121715
|View full text |Cite
|
Sign up to set email alerts
|

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

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 algorith… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
31
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 33 publications
(34 citation statements)
references
References 68 publications
3
31
0
Order By: Relevance
“…Hunza basin has an area Snow cover is one of the most significant variables that can be accustomed to water resource management [13,14]. Snow cover areas need to be measured properly in order to estimate and forecast the runoff from regions [15] such as UIB, but there is a paucity of comprehensive and in-detail study of ice and snow processes and their relationship with the hydrological regime in this region. In-situ data is limited to lower and accessible altitudes and may not truly represent the snow and glacier changes [4] at higher altitudes like those of UIB.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Hunza basin has an area Snow cover is one of the most significant variables that can be accustomed to water resource management [13,14]. Snow cover areas need to be measured properly in order to estimate and forecast the runoff from regions [15] such as UIB, but there is a paucity of comprehensive and in-detail study of ice and snow processes and their relationship with the hydrological regime in this region. In-situ data is limited to lower and accessible altitudes and may not truly represent the snow and glacier changes [4] at higher altitudes like those of UIB.…”
Section: Introductionmentioning
confidence: 99%
“…The remotely sensed snow cover data (such as MODIS) may be used as a key input to simulate the current and future snowmelt runoff from mountainous regions like UIB. Change in glaciers-and snowmelt-runoff under future climate change may adversely affect the water supplies of downstream dependent populations [15]. It is, therefore, necessary to model the influence of climate variability on the snow and glacier melt runoff.…”
Section: Introductionmentioning
confidence: 99%
“…where T day is the temperature at any time of the day, T is the daily accumulated temperature, T mx and T mn represent the maximum and minimum daily temperatures, respectively, t is the radian at any time of the day, and sin −1 ( −T mn T mx −T mn ), π − sin −1 ( −T mn T mx −T mn ) are the radians corresponding to 0 • C. When the minimum daily temperature was > 0 • C, the first formula in Equation (2) was used to calculate the accumulated temperature; when the minimum temperature was < 0 • C but the maximum temperature was > 0 • C, the second formula in Equation (2) was used [49,50].…”
Section: Calculation Of Accumulated Temperaturementioning
confidence: 99%
“…Snowmelt is one of the processes intervening in the hydrological cycle and interacting with many other processes. This article focuses on the phenomenon of melt-induced flooding and the changes it causes in the runoff regime, but this issue and its consequences have already been widely studied using a multitude of approaches [1,2].…”
Section: Introductionmentioning
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%