Heterogeneity of glacial lake expansion and its contrasting signals with climate change in Tarim Basin, Central Asia

Wang, Xin; Liu, Qionghuan; Liu, Shiyin; Jian, Wei; Jiang, Zongli

doi:10.1007/s12665-016-5498-4

Cited by 32 publications

(20 citation statements)

References 45 publications

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“…expansion (Wang, Liu, Liu, Wei, & Jiang, 2016). In addition, substantial high-temperature permafrost developed in the glacial lake zone, which is sensitive to climate warming.…”

Section: Effects Of Regional Climate On Lake Changesmentioning

confidence: 99%

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Jing

Fei

Wang

2017

European Journal of Remote Sensing

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Lakes are important for ensuring the development of the regional economy and ecological security. Based on MODIS and Landsat TM/OLI remote sensing images captured in 2005-2015 and a Combined Water Index (CWI), this paper extracted information on changes in the temporal and spatial characteristics and driving forces for lake areas in Xinjiang during past 11 years in different seasons (April, July and September). The results showed that over this time period, the area of the lakes exhibited an increasing trend. The largest surface area usually occurred in April, and the lowest value was measured in September. The lake shrinkage area in Xinjiang occurred mainly in Northern Xinjiang and the northeastern region of Southern Xinjiang, whereas the lake expansion area was concentrated in Eastern Xinjiang. Seasonal changes in Manas, Kanas, Barkol, Arkatag, Arik and Ebinur Lakes showed higher trends. Extracted the lake area based on the MODIS and TM/OLI image were analyzed, and both had a good corresponding relationship. The minimum R 2 was 0.548, and maximum RMSE was 44.1km 2 . Therefore, it was feasible to use MODIS to extract lake area. These changes in lake area resulted from both natural factors and human activities, and coupled effects greatly accelerated local environmental changes.

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“…expansion (Wang, Liu, Liu, Wei, & Jiang, 2016). In addition, substantial high-temperature permafrost developed in the glacial lake zone, which is sensitive to climate warming.…”

Section: Effects Of Regional Climate On Lake Changesmentioning

confidence: 99%

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Jing

Fei

Wang

2017

European Journal of Remote Sensing

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“…Based on remote sensing data, both the distribution and the characteristics of change in glacial lakes in the mountains and watersheds in the high-mountain Asia (HMA) region have been widely reported (Supplement Table S1). For example, multi-source remote sensing imagery has been used to compile glacial lake inventories for regions of the Tibetan Plateau (Zhang et al, 2015), the Tien Shan (Wang et al, 2013), the Himalaya (Gardelle et al, 2011;Nie et al, 2017), the Hengduan Mountains (Wang et al, 2017), Uzbekistan (Petrov et al, 2017), Pakistan (Senese et al, 2018), and HMA, excluding the Altai and Sayan (Chen et al, 2020). These inventories have proved an important data resource both for revealing the spatio-temporal characteristics of glacial lakes and for understanding the response of glacial lakes to the effects of climate change in these regions.…”

Section: Introductionmentioning

confidence: 99%

Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images

Wang¹,

Guo²,

Yang³

et al. 2020

Earth Syst. Sci. Data

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155

202

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Abstract. There is currently no glacial lake inventory data set for the entire high-mountain Asia (HMA) area. The definition and classification of glacial lakes remain controversial, presenting certain obstacles to extensive utilization of glacial lake inventory data. This study integrated glacier inventory data and 668 Landsat TM, ETM+, and OLI images and adopted manual visual interpretation to extract glacial lake boundaries within a 10 km buffer from glacier extent using ArcGIS and ENVI software, normalized difference water index maps, and Google Earth images. The theoretical and methodological basis for all processing steps including glacial lake definition and classification, lake boundary delineation, and uncertainty assessment is discussed comprehensively in the paper. Moreover, detailed information regarding the coding, location, perimeter and area, area error, type, time phase, source image information, and subregions of the located lakes is presented. It was established that 27 205 and 30 121 glacial lakes (size 0.0054–6.46 km2) in HMA covered a combined area of 1806.47±2.11 and 2080.12±2.28 km2 in 1990 and 2018, respectively. The data set is now available from the National Special Environment and Function of Observation and Research Stations Shared Service Platform (China): https://doi.org/10.12072/casnw.064.2019.db (Wang et al., 2019a).

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“…Longbasaba Lake is a typical moraine-dammed proglacial lake in the central eastern Himalaya with a high outburst risk and it has experienced dramatic expansion over recent decades (Yao and others, 2012b; Wang and others, 2016). Due to the significant retreat of the terminus of its host glacier (1264 m, 40 m a −1 ), the lake area has increased by 223% from 1977–2009 (Wang and others, 2016), whereas the glacial lakes in the Himalaya have expanded by 14.1% on average during 1990–2015 (Nie and others, 2017). In addition, an accelerating retreat of the glacier terminus (63.8 m a −1 ) was observed for Longbasaba Lake during 2005−09, resulting in a lake area expansion rate of 0.040 km 2 a −1 (Wang and others, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Due to the significant retreat of the terminus of its host glacier (1264 m, 40 m a −1 ), the lake area has increased by 223% from 1977–2009 (Wang and others, 2016), whereas the glacial lakes in the Himalaya have expanded by 14.1% on average during 1990–2015 (Nie and others, 2017). In addition, an accelerating retreat of the glacier terminus (63.8 m a −1 ) was observed for Longbasaba Lake during 2005−09, resulting in a lake area expansion rate of 0.040 km 2 a −1 (Wang and others, 2016). The ice core in the moraine dam of this lake has been deteriorating during the last few decades, which is manifested as an increasing yearly maximum thawing depth and a decreasing yearly maximum freezing depth (Wang and others, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Longbasaba Glacier recession and contribution to its proglacial lake volume between 1988 and 2018

et al. 2021

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During the last few decades, the lake-terminating glaciers in the Himalaya have receded faster than the land-terminating glaciers as proglacial lakes have exacerbated the mass loss of their host glaciers. Monitoring the impacts of glacier recession and dynamics on lake extent and water volume provides an approach to assess the mass interplay between glaciers and proglacial lakes. We describe the recession of Longbasaba Glacier and estimate the mass wastage and its contribution to the water volume of its proglacial lake. The results show that the glacier area has decreased by 3% during 1988–2018, with a more variable recession prior to 2008 than in the last decade. Longbasaba Lake has expanded by 164% in area and 237% in water volume, primarily as a result of meltwater inflow produced from surface lowering of the glacier. Over the periods 1988–2000 and 2000–18, the mass loss contributed by glacier thinning has decreased from 81 to 61% of the total mass loss, accompanied by a nearly doubled contribution from terminus retreat. With the current rate of retreat, Longbasaba glacier is expected to terminate in its proglacial lake for another four decades. The hazard risk of this lake is expected to continue to increase in the near future because of the projected continued glacier mass loss and related lake expansion.

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Heterogeneity of glacial lake expansion and its contrasting signals with climate change in Tarim Basin, Central Asia

Cited by 32 publications

References 45 publications

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing

Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images

Longbasaba Glacier recession and contribution to its proglacial lake volume between 1988 and 2018

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