Abstract
Glaciers in the Qilian Mountains, China, play an important role in supplying freshwater to downstream populations, maintaining ecological balance, and supporting economic development on the Tibetan Plateau. Glacier snowline altitude (SLA) at the end of the melt season is an indicator of the Equilibrium line altitude (ELA), and can be used to estimate the mass balance and climate reconstruction. Here, we employ the height zone-area method to determine the SLA at the end of the melt season during the 1989–2018 period using Landsat, MODIS (Moderate Resolution Imaging Spectroradiometer) SLA and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data. The accuracy of glacier SLA obtained in 1989–2018 after adding MODIS SLA data to the years without Landsat data increased by about 78 m. The difference between the remote-sensing-derived SLA and measured equilibrium line altitude (ELA) is mostly within 50 m, suggesting that the SLA can serve as a proxy for the ELA at the end of the melt season. The SLA of Qiyi Glacier in the Qilian Mountains rose from 4690 ± 25 m to 5030 ± 25 m, with an average of 4900 ± 103 m during the 30 year study period. The western, central, eastern sections and the whole range of the Qilian Mountains exhibited an upward trend in SLA during the 30 year study period. The mean glacier SLAs were 4923 ± 137 m, 4864 ± 135 m, 4550 ± 149 m and 4779 ± 149 m for the western, central, eastern sections and the whole range, respectively. From the perspective of spatial distribution, regardless of the different orientation, grid scale and basin scale, the glacier SLA of Qilian Mountains showed an upward trend from 1989 to 2018, and the glacier SLA is in general located at a comparably higher altitude in the southern and western parts of the Qilian Mountains while it is located at a comparably lower altitude in its northern and eastern parts. In an ideal condition, climate sensitivity studies of ELA in Qilian Mountains show that if the summer mean temperature increases (decreases) by 1 °C, then ELA will increase (decrease) by about 102 m. If the annual total solid precipitation increases (decreases) by 10%, then the glacier ELA will decrease (rise) by about 6 m. The summer mean temperature is the main factor affecting the temporal trend of SLA, whereas both summer mean temperature and annual total precipitation influence the spatial change of SLA.
Highlights
The objectives of our research were to (1) Evaluate the accuracy of snowline altitude (SLA) obtained by remote sensing; (2) Construct a more complete and accurate SLA time series; (3) Reveal the temporal and spatial variation of SLA and its sensitivity to climate in Qilian Mountains glaciers; (4) Restore and reconstruct equilibrium line altitude (ELA) in the non-data and data-deficient areas to estimate glacier mass balance
The uncertainty of SLA obtained by Landsat was controlled in the range of ±25 m by using the height zone-area method after the digital elevation model (DEM) data were divided into 50 m intervals
We primarily selected images from the late July to early September timeframe because the glacier SLA at the end of the ablation season should be the highest SLA for a given year, which means that this SLA can represent the ELA
Summary
The Qilian Mountains in China are an important component of the Qinghai–Tibet. Plateau, forming the northeastern rim of the plateau. This mountain range plays a crucial role in regulating human activity, the ecological balance, runoff replenishment, and economic development in the Qinghai-Tibet Plateau [1]. Qilian Mountain is a natural water tower for water resources supply in oasis areas of northwestern China [2,3], the large number of glaciers bred by it play an important role in water supply and drought mitigation in downstream areas [4]. Glacier change in Qilian Mountains directly affects the Remote Sens.
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