A deadly cascade
A catastrophic landslide in Uttarakhand state in India on February 2021 damaged two hydropower plants, and more than 200 people were killed or are missing. Shugar et al. describe the cascade of events that led to this disaster. A massive rock and ice avalanche roared down a Himalayan valley, turning into a deadly debris flow upstream from the first of the two hydropower plants. The sequence of events highlights the increasing risk in the Himalayas caused by increased warming and development.
Science, abh4455, this issue p. 300
Abstract
On 7 February 2021, a catastrophic mass flow descended the Ronti Gad, Rishiganga, and Dhauliganga valleys in Chamoli, Uttarakhand, India, causing widespread devastation and severely damaging two hydropower projects. More than 200 people were killed or are missing. Our analysis of satellite imagery, seismic records, numerical model results, and eyewitness videos reveals that ~27 ├Ч 106 cubic meters of rock and glacier ice collapsed from the steep north face of Ronti Peak. The rock and ice avalanche rapidly transformed into an extraordinarily large and mobile debris flow that transported boulders greater than 20 meters in diameter and scoured the valley walls up to 220 meters above the valley floor. The intersection of the hazard cascade with downvalley infrastructure resulted in a disaster, which highlights key questions about adequate monitoring and sustainable development in the Himalaya as well as other remote, high-mountain environments.
Steep slopes, high topographic relief, and seismic activity make mountain regions prone to extremely destructive mass movements [for example, (1)]. The sensitivity of glaciers and permafrost to climate changes is exacerbating these hazards [for example, (2тАУ7)]. Hazard cascades, in which an initial event causes a downstream chain reaction [for example, (8)], can be particularly far-reaching, especially when they involve large amounts of water (7, 9, 10). An example is the 1970 Huascar├бn avalanche in Peru, which was one of the largest, farthest-reaching, and deadliest (~6000 lives lost) mass flows (11). Similarly, in 2013, more than 4000 people died at Kedarnath, Uttarakhand, India, when a moraine-dammed lake breached after heavy rainfall and snowmelt (12тАУ14). Between 1894 and 2021, the Uttarakhand Himalaya has witnessed at least 16 major disasters from flash floods, landslides, and earthquakes (14, 15).
Human activities that intersect with the mountain cryosphere can increase risk (16) and are common in Himalayan valleys where hydropower development is proliferating because of growing energy demands, the need for economic development, and efforts to transition into a low-carbon society (17, 18). Hydropower projects in Uttarakhand and elsewhere in the region have been opposed over their environmental effects, public safety, and issues associated with justice and rehabilitation (19, 20).
On 7 February 2021, a massive rock and ice avalanche from the 6063-m-high Ronti Peak generated a cascade of events that caused more than 200 deaths or missing persons, as well as damage or destruction of infrastructure that most notably included two hydropower projects in the Rishiganga and Dhauliganga valleys (Fig. 1 and table S1) (21). Here, we present a rapid and comprehensive reconstruction of the hazard cascade. We leveraged multiple types of remote sensing data, eyewitness videos, numerical modeling, seismic data, and reconnaissance field observations in a collaborative, global effort to understand this event. We also describe the antecedent conditions and the immediate societal response, allowing us to consider some wider implications for sustainable development in high-mountain environments.
(A) Three-dimensional (3D) rendering of the local geography, with labels for main place names mentioned in the text. HPP, hydropower project. (B to D) Pre- and post-event satellite imagery of the site of the collapsed rock and glacier block, and the resulting scar. Shown is snow cover in the region just before the event (C). The red arrows in (C) indicate the fracture that became the headscarp of the landslide (fig. S4) [(22), section 3.2]. The arrow in (D) indicates a remaining part of the lower eastern glacier. (E) 3D rendering of the scar. (F) Schematic of failed mass of rock and ice. Satellite imagery in (A) to (D) and (E) is from Sentinel-2 (Copernicus Sentinel Data 10 February 2021) and Pl├йiades-HR (copyright CNES 10 February 2021, Distribution AIRBUS DS), respectively.
7 February 2021 hazard cascade
At 4:51 UTC [10:21 Indian Standard Time (IST)], about 26.9 ├Ч 106 m3 (95% confidence interval: 26.5 ├Ч 106 to 27.3 ├Ч 106 m3) of rock and ice (Figs. 1 and 2) detached from the steep north face of Ronti Peak at an elevation of about 5500 m above sea level and impacted the Ronti Gad (тАЬgadтАЭ means rivulet) valley floor about 1800 m below. We estimated the onset of this avalanche and its velocity by analyzing seismic data from two distant stations, 160 and 174 km southeast of the source (fig. S6) [(22), section 5.1]. The initial failure happened between 4:51:13 and 4:51:21 UTC, according to a source-sensor wave travel-time correction. We attributed a high-frequency signal 55 to 58 s later to the impact of the avalanche on the valley bottom, indicating a mean speed of the rock and ice avalanche of between 57 and 60 msтИТ1 (205 to 216 km hourтИТ1) down the ~35┬░ steep mountain face.
(A) Perspective view of the area, from the landslide source at Ronti Peak to the Rishiganga and Tapovan Vishnugad hydropower projects (black stars). (B) Elevation change over the landslide scar based on DEM-differencing between September 2015 and 10 to 11 February 2021. (C) The proximal valley floor, with geomorphic interpretations of the flow path. (D) Confluence of Ronti Gad and Rishiganga River. (E to J) Topographic profiles showing elevation change due to rock/icefall and sediment deposition for locations shown in (B) to (D). Elevation loss on the inner bank in (J) is primarily due to the destruction of forest.
Differencing of high-resolution digital elevation models (DEMs) revealed a failure scar that has a vertical difference of up to 180 m and a slope-normal thickness of ~80 m on average, and a slab width of up to ~550 m, including both bedrock and overlying glacier ice (Fig. 2). The lowermost part of the larger eastern glacier is still in place and was not eroded by the rock and ice avalanche moving over it (Fig. 1D), suggesting that the avalanche may have become airborne for a short period during its initial descent. Optical feature tracking detected movement of the failed rock block as early as 2016, with the largest displacement in the summer months of 2017 and 2018 (fig. S4). This movement opened a fracture up to 80 m wide in the glacier and into the underlying bedrock (Fig. 1 and fig. S5). Geodetic analysis and glacier thickness inversions indicate that the collapsed mass comprised ~80% rock and ~20% glacier ice by volume (fig. S10) [(22), section 5.2]. Melt of this ice was essential to the downstream evolution of the flow, because water transformed the rock and ice avalanche into a highly mobile debris flow (23, 24). Media reports (25) suggest that some ice blocks (diameter <1 m) were found in tunnels at the Tapovan Vishnugad hydropower site (hereafter referred to as the Tapovan project), and some videos of the debris flow [(22), section 5.3] show floating blocks that we interpret as ice, indicating that some of the ice survived at considerable distance downstream. In contrast to most previously documented rock avalanches, very little debris is preserved at the base of the failed slope. This is likely due to the large volumes of water [(22), section 5.5] that resulted in a high mobility of the flow.
Geomorphic mapping based on very-high-resolution satellite images (table S2) acquired during and immediately after the event provides evidence of the flow evolution. We detected four components of the catastrophic mass flow, beginning with the main rock and ice avalanche from Ronti Peak described above (component one).
The second component is тАЬsplash depositsтАЭ (26тАУ28), which are relatively fine-grained, wet sediments that became airborne as the mass flow ran up adjacent slopes. For example, the rock and ice avalanche traveled up a steep slope on the east side of the valley opposite the source zone, and some material became airborne, being deposited at a height of about 120 m above the valley floor. These deposits include boulders of up to ~8 m (a axis length). The bulk of the flow then traveled back to the proximal (west) side of the valley and rode up a ridge ~220 m above the valley floor, before becoming airborne and splashing into a smaller valley to the west (Fig. 2C and figs. S15 and S18). Boulders of up to 13 m (a axis length) were deposited near the top of the ridge. Vegetation remained intact on the lee side of some ridges that were overrun by the splashing mass.
A third component of the mass flow is reflected in airborne dust deposition. A dust cloud is visible in PlanetScope imagery from 5:01 UTC and 5:28 UTC 7 February (10:31 and 10:58 IST). A smooth layer of debris, estimated from satellite imagery to be only a few centimeters in thickness, was deposited higher than the splash deposits, up to ~500 m above the valley floor, although the boundary between the airborne dust deposition and other mass flow deposits is indistinct in places. Signs of the largely airborne splash and dust components can be observed ~3.5 km downstream of the valley impact site. The avalanche also generated a powerful air blast (1) that flattened about 0.2 km2 of forest on the west side of the Ronti Gad valley (Fig. 2C).
After the rock and ice avalanche impacted the valley floor, most of it moved downvalley in a northwesterly direction. Frictional heating of the ice in the avalanche generated liquid water that allowed the transition in flow characteristics, becoming more fluid downvalley and creating a flow consisting of sediment, water, and blocks of ice. The uppermost part of the valley floor deposits is around 0.75 ├Ч 106 m3, with few of the large boulders that typically form the upper surface of rock avalanches [for example, (29, 30)] (Fig. 2G and fig. S16). The mass flow traveled downvalley and superelevated (runup elevation) up to ~130 m above the valley floor around bends (fig. S17). Clear trimlines, at some places at multiple levels, are evident along much of the flow path (Fig. 2, C and D).
At the confluence of the Ronti Gad and Rishiganga River, a ~40-m-thick deposit of debris blocked the Rishiganga valley (Fig. 2, H and I). Deposition in this area probably resulted from deceleration of the mass flow at a sharp turn to the west. During the days after the event, a lake ~700 m long formed behind these deposits in the Rishiganga valley upstream of its confluence with Ronti Gad. The lake was still present 2 months later and had grown since the initial formation. Substantial deposition occurred about 1 km downstream of the confluence, where material up to ~100 m thick was deposited on the valley floor (Fig. 2J). DEM differencing shows that the total deposit volume at the Ronti GadтАУRishiganga River confluence and just downstream was ~8 ├Ч 106 m3. These large sediment deposits likely indicate the location where the flow transitioned to a debris flow (31)тАФthe fourth component.
A field reconnaissance by coauthors from the Wadia Institute of Himalayan Geology indicates that the impact of debris flow material (sediment, water, ice, and woody debris) at the confluence of Rishiganga River with Dhauliganga River created a bottleneck and forced some material 150 to 200 m up the Dhauliganga (fig. S15). The release of the water a few minutes later led to the destruction of a temple on the north bank of the Dhauliganga.
A substantial fraction of the fine-grained material involved in the event was transported far downstream. This more dilute flow could be considered a fifth component. Approximately 24 hours after the initial landslide, the sediment plume was visible in PlanetScope and Sentinel-2 imagery in the hydropower projectтАЩs reservoir on the Alaknanda River at Srinagar, about 150 km downstream from the source. About 2┬╜ weeks later, increased turbidity was observed at Kanpur on the Ganges River, ~900 km from the source. An official of the Delhi water quality board reported that 8 days after the Chamoli disaster, a chief water source for the cityтАФa canal that draws directly from the Ganga RiverтАФhad an unprecedented spike in suspended sediment (turbidity) 80 times the permissible level (32). The amount of corresponding sedimentation in hydropower reservoirs and rivers is unknown, but possibly substantial, and may contribute to increased erosion of turbine blades and infilling of reservoirs in the years to come.
Analysis of eyewitness videos permitted estimation of the propagation of the flow front below the Ronti GadтАУRishiganga River confluence (Fig. 3) [(22), section 5.3]. The maximum frontal velocity reconstructed from these videos is ~25 m sтИТ1 near the Rishiganga hydropower project (fig. S11 and table S5), which is about 15 km downstream of the rock and ice avalanche source. Just upstream of the Tapovan project (another ~10 km downriver), the velocity decreased to ~16 m sтИТ1, and just downstream of Tapovan (26 km from source), the velocity was ~12 m sтИТ1. The large reduction in frontal velocity is likely related to impoundment behind the Tapovan project dam. Analysis of PlanetScope images (at 5:01 UTC and 5:28 UTC) suggests that the average frontal velocity between Raini (at Rishiganga hydropower project) and Joshimath (16 km downstream) was ~10 m sтИТ1. We also estimated mean discharge from the videos to be between ~8200 and ~14,200 m3 sтИТ1 at the Rishiganga hydropower project and between ~2900 and ~4900 m3 sтИТ1 downstream of the Tapovan project. Estimates for the debris flow duration are complicated by uncertain volumes, water contents, discharge amounts, and shapes of discharge curves at specific locations. For Rishiganga, for example, we estimate a duration of 10 to 20 min, a number that appears realistic from the information available.
(A and B) Flow front arrives and rushes through the valley upstream of the Rishiganga project (Fig. 4, location P1). (C) Flow front arrives at Tapovan projectтАЩs dam (Fig. 4, location P3). [Image reused with permission from Kamlesh Maikhuri.] (D) The reservoir is being filled quickly; spillways are damaged. [Image reused with permission from Kamlesh Maikhuri.] (E) The dam is overtopped. [Image reused with permission from Manvar Rawat.] (F) Collapse of remaining structures. [Image reused with permission from Manvar Rawat.] (G to J) Flow front proceeds down the valley below the Tapovan dam (Fig. 4, location P4), spreading into the village in (J). [Images reused with permission from Anand Bahuguna.]
We conducted numerical simulations with r.avaflow [(22), section 5.4], which indicate that the rock and ice avalanche could not have transitioned to the debris flow seen farther downstream without an accompanying reduction in the debris volume. If such a direct transition had occurred, the modeling suggests that the flow discharge would be approximately one order of magnitude higher than the estimates derived from video recordings [(22), section 5.4]. The deposition patterns we observed in satellite imagery support the hypothesis that the vicinity of the Ronti GadтАУRishiganga River confluence played a key role in flow transition. Our numerical simulations are consistent with the escape of a fluid-rich front from the rock and ice avalanche mass near this confluence (Fig. 4A), reproducing mapped trimlines and estimated flow velocities and discharges down to Tapovan (Fig. 4, B and C). Our simulated discharge estimates at locations P1 to P4 (Fig. 4D) are within the ranges derived from the video analysis [(22), section 5.3], and simulated travel times between P0 and P3 (Fig. 4D) show excellent agreement (<5% difference) with travel times inferred from seismic data, videos, and satellite imagery. We found less agreement between the numerical model results and the reconstructions from videos farther downstream owing to the complex effects of the Tapovan project in slowing the flow, which are at a finer scale than is represented by our model.