青藏高原冰川演化与原冰期湖泊的长期记录(1976-2020)

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Big Earth Data Pub Date : 2022-10-02 DOI:10.1080/20964471.2022.2131956
Drolma Lhakpa, Y. Qiu, Pa Lhak, Lijuan Shi, Maoce Cheng, B. Cheng
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引用次数: 3

摘要

青藏高原冰川是原冰期湖泊和下游河流的重要水源。为了更好地了解冰川的演变及其对前冰期湖泊的影响,选取了受西风带和印度夏季风影响的continenṅtal、次大陆和海洋气候类型对应的7个冰川进行研究。基于Landsat TM/ETM+/OLI影像的视觉解译,确定了这些冰川及其伴生的前冰期湖泊的边缘演变。然后创建了一个涵盖1976-2020年期间的数据集,其中包括冰川和前冰川湖泊边缘向量。单个冰川区域的相对误差小于3%,前冰期湖泊的相对误差在0% ~ 7%之间。该数据集被用来有效地比较过去40年来冰川和原冰川湖泊的变化。最显著的变化是冰川的退缩和小的前冰期湖泊的形成。该数据集还可以用作支持山地冰川变化研究的代理,特别是它们对气候变化和水资源的响应。这种响应具有重要的科学意义,在许多应用中都很重要,包括评估冰川融化造成的生态问题。数据集可从http://doi.org/10.57760/sciencedb.j00076.00131下载。
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Long-term records of glacier evolution and associated proglacial lakes on the Tibetan Plateau (1976‒2020)
ABSTRACT The glaciers on the Tibetan Plateau (TP) constitute critical sources of water for the proglacial lakes and many rivers found downstream. To better understand the evolution of glaciers and the impact of this on proglacial lakes, seven glaciers corresponding to continenṅtal, subcontinental, and marine climate types that are influenced by westerlies and the Indian summer monsoon were selected for study. The evolution of the edges of these glaciers and their associated proglacial lakes were identified based on the visual interpretation of Landsat TM/ETM+/OLI images. A dataset covering the period 1976–2020 that included the glacier and proglacial lake edge vectors was then created. The relative errors in the areas of the individual glaciers were less than 3%, and for the proglacial lakes these errors were in the range 0%–7%. The dataset was used to effectively compare the changes in glaciers and proglacial lakes that have occurred over the past four decades. The most striking changes that were found were the retreat of glaciers and the formation of small proglacial lakes. This dataset could also be used as a proxy to support research on changes in mountain glaciers, particularly their response to climate change and water resources. This response is of great scientific significance and is important in many applications, including assessments of the ecological problems caused by melting glaciers. The dataset can be downloaded from http://doi.org/10.57760/sciencedb.j00076.00131.
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
期刊最新文献
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