A 3 km long glacier collapsed in the morning of 17 July 2016 (Fig. 1). The avalanche killed nine herders living in their summer pasture at Aru Village, Dongru Community, Ritu County, Ali District, Xizang Autonomous Region, the most remote region on the western Tibetan Plateau. The Aru Glacier (34.03°N; 82.25°E), ranges in elevation from 5250 to 6150 m a.s.l. (CN5Z412C011) and is one of a glacier group that covers 27 km2 (in 2015). The collapsed ice rushed down within 4–5 min (according to eyewitnesses) over the narrow tongue and swept across the gently-sloping alluvial fan, reaching the 105 km2 inland Aruco Lake (Fig. 1).
Figure 2 shows the most recent Sentinel-2 satellite image taken shortly before the collapse (Fig. 2a) and the most recent image taken after the 17 July collapse (Fig. 2b). The detached ice mass (Fig. 2b) is 2.4 km wide, 5.7 km long and now covers 9.4 km2. The lower part of the glacier disappeared after the passage of the rapidly descending ice from higher elevation. A survey by differential GPS along the margin of the collapsed ice on 13 August showed an increasing depth from 3 m at the glacier snout to 13 m at the distal end of the deposit. The average depth of the deposits was estimated to be 7.5 m. This indicates a total volume of fallen ice of at least 70 million m3, or equivalent to an average glacier thickness loss of ~21 m.
The Aru Glacier has been rather stable in the past decades. Landsat imagery confirms that the glacier area has been decreasing from 3.51 km2 in 1970 to 3.49 km2 in 1990, 3.41 km2 in 2000 and 3.36 km2 in 2010, which gives a decrease of 0.15 km2 (4.3%) over the past 4 decades. Gaofen-1 satellite data indicate that the Aru Glacier area increased slightly from 3.35 km2 on 19 September 2015 to 3.44 km2 on 1 February 2016 and its length increased 75 m at a rate equivalent to ~200 m a–1.
Glaciers in this region are not temperate but cold-based and frozen to the bed (Shi and Liu, Reference Shi and Liu2000). Recent research reveals that over recent decades the glaciers in this region have experienced less retreat than those in the Himalayas (Bolch and others, Reference Bolch2012; Yao and others, Reference Yao2012). Examples include glaciers in the western Kunlun Mountains (Shangguan and others, Reference Shangguan2007), the Depuchangdake region just west of the Aru Glacier (Li and others, Reference Li2016) and to a lesser extent the glacier retreat in Banggong Co with the smallest retreat in the interior area of the Tibetan Plateau (Wei and others, Reference Wei2014).
A similar glacier event was reported for the Kolka glacier, Northern Ossetia, Russian Caucasus, on 20 September 2002. An enormous rock and ice slide and subsequent mudflow swept through the downstream valley killing over 140 people and causing massive destruction (Huggel and others, Reference Huggel2005). But the Kolka glacier is a hanging glacier experiencing repeated surging (Haeberli and others, Reference Haeberli2004). Another very recent glacier surge was on the mountain Tobe Feng, Pamir in western China during the spring of 2015. This glacier advanced ~1.2 km within 10 months and also caused damage downstream (Lü and others, Reference Lü2016). It remains to be determined whether the Aru Glacier collapse represents a new type of geo-hazard or a new size of an avalanche glacier similar to those described by Faillettaz and others (Reference Faillettaz, Sornette and Funk2011).
The spontaneous glacier collapse of the Aru Glacier, is, however, not consistent with glacier surging, which exhibits cyclic behavior between quiescent and active phases. Surging glaciers are reported in the Karakoram Mountains (Gardelle and others, Reference Gardelle, Berthier and Arnaud2012), and a few have been reported in the Western Kunlun Mountains (Yasuda and Furuya, Reference Yasuda and Furuya2015), Pamirs (Lü and others, Reference Lü2016) and in the Tien Shan Mountains (Häusler and others, Reference Häusler, Ng, Kopecny and Leber2016). However, most surge-type glaciers are characteristically long and wide (Barrand and Murray, Reference Barrand and Murray2006), while the Aru Glacier is a relatively small glacier with low annual accumulation and slow velocity. To date, no glacier surging has been reported or observed nearby.
The steep terrain of the surface might predispose the glacier to such an event. With 900 m of elevation change over a 3.3 km distance, the glacier has an average slope of 15°. But it is not the only glacier at that elevation with a steep slope in this region. Satellite images show bare bedrock over most of the detached area, indicating rapid basal sliding. This is puzzling as such continental glaciers are usually assumed to be frozen to the bedrock (Shi and Liu, Reference Shi and Liu2000). Thus, the evidence of glacier sliding might suggest that these glaciers are now in transition from cold base to polythermal due to warming conditions in the region, which thus may threaten the stability of this type of glacier. Such glaciers are widely distributed over the interior of the Tibetan Plateau.
Recent research reveals that most glaciers on the southeastern Tibetan Plateau are retreating at an accelerating rate while those on the western Tibetan Plateau are either stable or advancing (Bolch and others, Reference Bolch2012; Yao and others, Reference Yao2012). This makes the recent collapse of the Aru Glacier in western Tibet even more extraordinary. It is probable that the recent and rapid warming in this region (Li and others, Reference Li2010) increased the internal temperature of the ice, which, coupled with increased precipitation, created very unstable conditions. If true, then other glaciers in the region may be experiencing similar conditions, therefore making this region extremely dangerous.
The recent climate warming has been shown to facilitate glacier surging in the Karakoram Mountains (Quincey and others, Reference Quincey2011). But it is unclear whether a local climate change triggered the Aru Glacier collapse as there are no direct weather observations near the glacier. However, it is clear that this region has warmed. Air temperature at Shiquanhe (32.50°N, 80.10°E, 4260 m a.s.l.), 290 km southwest of the Aru Glacier, the nearest state-run meteorological station (Fig. 3a), has increased by ~1.5°C over the past five decades. Meteorological data (2010–16) from Nagri Meteorological Station (33.39°N, 79.70°E, 4260 m a.s.l.), 240 km west of the Aru glacier, show no unusual fluctuations in 2016 and daily air temperatures fluctuate within the long-term range (Fig. 3b). The available climate data do not exclude the occurrence of a very local extreme event. However, the total precipitation at Nagri in 2016 prior to the accident is the highest in the 2010–16 record (Fig. 3c), exceeding the average value by 88%. Moreover, ~90% of the 2016 precipitation fell within the previous 40 d. Although speculative, if the precipitation pattern at Nagri was widespread, then the overabundance of precipitation (snow) in the spring and earlier summer on Aru Glacier may have strongly contributed to the glacier's collapse.
This is the first known occurrence of an unexpected, instantaneous collapse of a cold-based glacier in a nonvolcanic region. It raises concerns that future events are possible and may pose risks for inhabitants of this region. If the climate warming in the region is the primary cause of the Aru Glacier collapse, then it will not be the last one (the neighboring glacier collapsed on 21 September 2016, with a detached ice area of 6.3 km2 and fallen ice volume of ~100 million m3, comparable with the first one). Therefore, to implement a continuous monitoring program for these types of glaciers and to design an early warning system is critical. A continuous surveying of the rebuilding of this collapsed glacier may shed new light on our understanding of the processes of glacier formation and collapse. Currently, Tandong Yao and Lide Tian are leading a field investigation into this region, which hopefully will better define the mechanisms driving these two recent glacier collapses.
SUPPLEMENTARY MATERIAL
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Acknowledgements
We thank editor Graham Cogley, Martin Funk and another anonymous reviewer for comments and suggestions which improved the quality of the manuscript. We are grateful to NASA and USGS for providing Landsat data, and ESA (European Space Agency) for Sentinel-2 data. This research was supported by the National Natural Science Foundation of China (Grant No. 41530748, 41671072), the ‘Strategic Priority Research Program (B)’ of the Chinese Academy of Sciences (Grant No. XDB03030000) and Major Special Project-the China High-Resolution Earth Observation System (30-Y30B13-9003-14/16-01).