phys.org /news/2022-06-explore-method-glacial-reduction.html
<https://phys.org/news/2022-06-explore-method-glacial-reduction.html>
Researchers
explore new method for glacial melt reduction
------------------------------
<https://phys.org/archive/17-06-2022/>

June 17, 2022

by Chinese Academy of Sciences <https://english.cas.cn/>
Ortho-mosaic on 28 August 2021 (left panel), hillshade generated from the
DEM on 28 August 2021 (middle panel), and changes in elevation between 24
June and 28 August 2021 (right panel). Glacier ablation was monitored using
ablation stakes (S1–S3). Credit: Wang Feiteng

Glaciers are experiencing fast and significant changes under global
warming. Glacier shrinkage significantly impacts global sea level, regional
water cycles, ecosystems, and natural hazards.

Many studies have considered glacier changes and the mechanisms driving
such changes. However, few studies have focused on mitigating glacier
ablation.

Recently, a research team from the Northwest Institute of Eco-Environment
and Resources of the Chinese Academy of Sciences conducted the evaluation
of glacier cover efficiency for melt reduction on the Urumqi Glacier No. 1,
Tien Shan, China.

Their results were published in *Remote Sensing*.

By combining two high-resolution digital elevation models derived from
terrestrial laser scanning and unmanned aerial vehicles, albedo, and
meteorological
data <https://phys.org/tags/meteorological+data/>, the researchers
quantified the glacier ablation mitigation under three different cover
materials.

The results showed that material-covered areas could slow down glacier
melting by approximately 29–56% compared with uncovered areas. The
researchers also found that the nanofiber material showed higher efficiency
(56%) than the geotextiles used in the experiment.

The method of artificial reduction of glacial ice melt provides a
scientific and practical basis for decision-making on mitigating and
adapting to climate change.
------------------------------
*More information:* Shuangshuang Liu et al, Quantifying the Artificial
Reduction of Glacial Ice Melt in a Mountain Glacier (Urumqi Glacier No. 1,
Tien Shan, China), *Remote Sensing* (2022). DOI: 10.3390/rs14122802
<https://dx.doi.org/10.3390/rs14122802>
Provided by Chinese Academy of Sciences
<https://phys.org/partners/chinese-academy-of-sciences/>
<https://english.cas.cn/>
<https://english.cas.cn/>

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