Essential Site Maintenance: Authorea-powered sites will be updated circa 15:00-17:00 Eastern on Tuesday 5 November.
There should be no interruption to normal services, but please contact us at [email protected] in case you face any issues.

loading page

Glacier hydrological process modeling based on improved SWAT+: A case study in the Upper Yarkant River Basin
  • +2
  • Chengde Yang,
  • Min Xu,
  • Congsheng Fu,
  • Shichang Kang,
  • Yi Luo
Chengde Yang
Northwest Institute of Eco-Environment and Resources

Corresponding Author:[email protected]

Author Profile
Min Xu
Northwest Institute of Eco-Environment and Resources
Author Profile
Congsheng Fu
Nanjing Institute of Geography and Limnology Chinese Academy of Sciences
Author Profile
Shichang Kang
Northwest Institute of Eco-Environment and Resources
Author Profile
Yi Luo
Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences
Author Profile

Abstract

Glaciers have proven to be a particularly sensitive indicator of climate change, and the impact of glacier melting on downstream water supplies is becoming increasingly important as the world’s population expands and global warming continues. Data scarcity in mountainous catchments, on the other hand, has been a substantial impediment to hydrological process simulation. Therefore, an integrated glacier hydrological process module was introduced for the Soil and Water Assessment Tool Plus model (SWAT+), in which an enhanced temperature-index glacier melt algorithm considering solar radiation was employed to maintain model clarity and favorable performance in this study. Furthermore, SWATplusR was introduced for sensitivity analysis using the Sobol approach, and Integrated Parameter Estimation and Uncertainty Analysis Tool Plus (IPEAT+) was coupled with this enhanced model (SWAT+Glacier) to perform calibration and validation in the Upper Yarkant River (UYR) basin. The result indicated that (i) including glacial-hydrological processes considerably improved simulation precision, with an NSE promotion of 2.6 times and R 2 of 1.7 times greater than the original model; (ii) it is an efficient and feasible way to simulate glacial-hydrological processes with SWAT+Glacier and calibrate it using observed discharge data in data-scarce and glacier melt dominated catchments; and (iii) we discovered that glacier runoff is intensively distributed throughout the summer season, accounts for about 78.5% of the annual glacier runoff, and glacier meltwater provides approximately 52.5% (4.4×10 9m 3) of total runoff in the study area.