Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Snow Avalanche Frequency Estimation (SAFE): 32 years of monitoring remote avalanche depositional zones in high mountains of Afghanistan
Arnaud Caiserman
CORRESPONDING AUTHOR
Mountain Societies Research Institute, University of Central Asia, Khorog, 736000, Tajikistan
Roy C. Sidle
Mountain Societies Research Institute, University of Central Asia, Khorog, 736000, Tajikistan
Deo Raj Gurung
Aga Khan Agency for Habitat, Dushanbe, 734013, Tajikistan
Related authors
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
Short summary
Short summary
All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Anushilan Acharya, Jakob F. Steiner, Khwaja Momin Walizada, Salar Ali, Zakir Hussain Zakir, Arnaud Caiserman, and Teiji Watanabe
Nat. Hazards Earth Syst. Sci., 23, 2569–2592, https://doi.org/10.5194/nhess-23-2569-2023, https://doi.org/10.5194/nhess-23-2569-2023, 2023
Short summary
Short summary
All accessible snow and ice avalanches together with previous scientific research, local knowledge, and existing or previously active adaptation and mitigation solutions were investigated in the high mountain Asia (HMA) region to have a detailed overview of the state of knowledge and identify gaps. A comprehensive avalanche database from 1972–2022 is generated, including 681 individual events. The database provides a basis for the forecasting of avalanche hazards in different parts of HMA.
Cited articles
Abermann, J., Eckerstorfer, M., Malnes, E., and Hansen, B. U.: A large wet
snow avalanche cycle in West Greenland quantified using remote sensing and
in situ observations, Nat. Hazards, 97, 517–534,
https://doi.org/10.1007/s11069-019-03655-8, 2019.
Avalanche.org: Accidents, https://avalanche.org/avalanche-accidents/, last
access: 30 June 2021.
European Agency for Asylum: Badakhshan, https://euaa.europa.eu/country-guidance-afghanistan-2020/badakhshan, last access: 15 August 2022.
Bair, E. H., Rittger, K., Ahmad, J. A., and Chabot, D.: Comparison of modeled snow properties in Afghanistan, Pakistan, and Tajikistan, The Cryosphere, 14, 331–347, https://doi.org/10.5194/tc-14-331-2020, 2020.
Barbolini, M., Pagliardi, M., Ferro, F., and Corradeghini, P.: Avalanche
hazard mapping over large undocumented areas, Nat. Hazards, 56, 451–464,
https://doi.org/10.1007/s11069-009-9434-8, 2011.
Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075–1088, https://doi.org/10.5194/tc-10-1075-2016, 2016.
Bühler, Y., von Rickenbach, D., Stoffel, A., Margreth, S., Stoffel, L., and Christen, M.: Automated snow avalanche release area delineation – validation of existing algorithms and proposition of a new object-based approach for large-scale hazard indication mapping, Nat. Hazards Earth Syst. Sci., 18, 3235–3251, https://doi.org/10.5194/nhess-18-3235-2018, 2018a.
Bühler, Y., von Rickenbach, D., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., and Kühne, R.: Linking modelled potential
release areas with avalanche dynamic simulations: an automated
approach for efficient avalanche hazard indication mapping, International
snow science workshop proceedings, Innsbruck, Austria, 7–12 October 2018, 810–814, 2018b.
Bühler, Y., Hafner, E. D., Zweifel, B., Zesiger, M., and Heisig, H.: Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13, 3225–3238, https://doi.org/10.5194/tc-13-3225-2019, 2019.
Bühler, Y., Bebi, P., Christen, M., Margreth, S., Stoffel, L., Stoffel, A., Marty, C., Schmucki, G., Caviezel, A., Kühne, R., Wohlwend, S., and Bartelt, P.: Automated avalanche hazard indication mapping on a statewide scale, Nat. Hazards Earth Syst. Sci., 22, 1825–1843, https://doi.org/10.5194/nhess-22-1825-2022, 2022.
Caiserman A.: Snow Avalanche Frequency Estimation (SAFE), Zenodo [code], https://doi.org/10.5281/zenodo.6973757, 2022.
Chabot, D. and Kaba, A.: Avalanche forecasting in the Central
Asian countries of Afghanistan, Pakistan and Tajikistan, International
Snow Science Workshop, Breckenridge, United States, 10 February 2016, https://arc.lib.montana.edu/snow-science/item/2310 (last access: 15 August 2022), 2016.
Deems, J. S., Painter, T. H., and Finnegan, D. C.: Lidar measurement of snow
depth: a review, J. Glaciol., 59, 467–479,
https://doi.org/10.3189/2013JoG12J154, 2013.
Eckerstorfer, M., Malnes, E., Frauenfelder, R., Doomas, U., and
Brattlien, K.: Avalanche Debris Detection Using Satellite-Borne Radar and Optical Remote Sensing, International Snow Science Workshop 2014 Proceedings, Banff, Canada, 131–138, https://www.researchgate.net/profile/Markus-Eckerstorfer/publication/265395539 (last access: 15 August 2022), 2014.
Eckerstorfer, M., Bühler, Y., Frauenfelder, R., and Malnes, E.: Remote
sensing of snow avalanches: Recent advances, potential, and limitations,
Cold Reg. Sci. Technol., 121, 126–140,
https://doi.org/10.1016/j.coldregions.2015.11.001, 2016.
Eckerstorfer, M., Malnes, E., and Müller, K.: A complete snow avalanche
activity record from a Norwegian forecasting region using Sentinel-1
satellite-radar data, Cold Reg. Sci. Technol., 144, 39–51,
https://doi.org/10.1016/j.coldregions.2017.08.004, 2017.
European Avalanche Warning Services: Fatalities, https://www.avalanches.org/fatalities/, last access: 30 June
2021.
FAO: Special report
FAO/WFP crop and food supply assessment mission
to Afghanistan, https://www.fao.org/3/j0156e/j0156e00.htm, last
access: 17 October 2021.
Global Facility for Disaster and Recovery: Afghanistan Multi-Hazard Risk Assessment, World Bank, Kabul, Afghanistan, 108 pp., https://www.gfdrr.org/sites/default/files/publication/Afghanistan_MHRA.pdf (last access: 15 August 2022), 2018.
Greene, E., Birkeland, K., Elder, K., McCammon, I., Staples, M.,
and Sharaf, D.: Observation Guidelines for Avalanche Professionals
in the U.S. American Avalanche Association, Pagosa
Springs, Victor, United States of America, 104 pp., https://issuu.com/americanavalanche/docs/aaa_swag_sample (last access: 15 August 2022), 2016.
Gubler, H.: Measurements and modelling of snow avalanche
speeds, in: Proceedings of the Davos Symposium, Avalanche
Formation, Movment and Effects, Davos, Switzerland, September 1987, https://www.semanticscholar.org/paper/Measurements-and-modelling-of-snow-avalanche-speeds-Gubler/ca94f82fc1f509b7b3fb7a1fe0fc1f871414800f (last access: 15 August 2022), 1987.
Guimbert, S.: Struture and performance of the Afghan economy,
World, Washington D.C, United States, 47 pp., https://documents1.worldbank.org/curated/en/819001468740686597/pdf/308610PAPER0SASPR0no1010Afghan0eco.pdf (last access: 15 August 2022), 2004.
Hafner, E. and Bühler, Y.: SPOT6 Avalanche outlines 24 January
2018, https://opendata.swiss/en/dataset/spot6-avalanche-outlines-24-january-2018 (last access: 15 August 2022), 2018.
Hafner, E. D., Techel, F., Leinss, S., and Bühler, Y.: Mapping avalanches with satellites – evaluation of performance and completeness, The Cryosphere, 15, 983–1004, https://doi.org/10.5194/tc-15-983-2021, 2021a.
Hafner, E., Leinss, S., Techel, F., and Bühler, Y.: Satellite avalanche mapping validation data, EnviDat [data set],
https://doi.org/10.16904/envidat.202, 2021b.
Hammond, J. C., Saavedra, F. A., and Kampf, S. K.: Global snow zone maps and
trends in snow persistence 2001–2016, Int. J. Climatol.,
38, 4369–4383, https://doi.org/10.1002/joc.5674, 2018.
Karas, A., Karbou, F., Giffard-Roisin, S., Durand, P., and Eckert, N.: Automatic Color Detection-Based Method Applied to Sentinel-1 SAR Images for Snow Avalanche Debris Monitoring, IEEE T. Geosci. Remote, 60, 1–17, https://doi.org/10.1109/TGRS.2021.3131853, 2022.
Keylock, C. J., McClung, D. M., and Magnusson, M. M.: Avalanche
risk mapping by simulation, J. Glaciology, 45, 303–314, https://doi.org/10.3189/S0022143000001805, 1999.
Kravtsova, V. I.: Snow Cover Mapping of Afghanistan's Mountains with Space
Imagery, Mapping Sciences and Remote Sensing, 27, 295–302,
https://doi.org/10.1080/07493878.1990.10641815, 1990.
Leinss, S., Wicki, R., Holenstein, S., Baffelli, S., and Bühler, Y.: Snow avalanche detection and mapping in multitemporal and multiorbital radar images from TerraSAR-X and Sentinel-1, Nat. Hazards Earth Syst. Sci., 20, 1783–1803, https://doi.org/10.5194/nhess-20-1783-2020, 2020.
Louge, M. Y., Turnbull, B., and Carroll, C.: Volume growth of a powder snow
avalanche, Ann. Glaciol., 53, 57–60,
https://doi.org/10.3189/2012AoG61A030, 2012.
Maggioni, M. and Gruber, U.: The influence of topographic parameters on
avalanche release dimension and frequency, Cold Reg. Sci.
Technol., 37, 407–419, https://doi.org/10.1016/S0165-232X(03)00080-6,
2009.
Malnes, E., Eckerstorfer, M., and Vickers, H.: First Sentinel-1 detections of avalanche debris, The Cryosphere Discuss., 9, 1943–1963, https://doi.org/10.5194/tcd-9-1943-2015, 2015.
Martinez-Vazquez, A. and Fortuny-Guasch, J.: A GB-SAR Processor for Snow
Avalanche Identification, IEEE T. Geosci. Remote, 46, 3948–3956, https://doi.org/10.1109/TGRS.2008.2001387, 2008.
Mohanty, A., Hussain, M., Mishra, M., Kattel, D. B., and Pal, I.: Exploring
community resilience and early warning solution for flash floods, debris
flow and landslides in conflict prone villages of Badakhshan, Afghanistan,
Int. J. Disast. Risk Re., 33, 5–15,
https://doi.org/10.1016/j.ijdrr.2018.07.012, 2019.
Office for the Coordination of Humanitarian Affairs: Districts Affected by Avalanches –
Badakhshan Province, https://reliefweb.int/map/afghanistan/afghanistan-districts-affected-avalanches
%C2%A0%E2%80%90-badakhshan-province-19-jan-2012-location (last access: 15 August 2022), 2012.
Palma, J.: Climate in Crisis: How Risk Information Can Build Resilience in Afghanistan,
https://blogs.worldbank.org/endpovertyinsouthasia/climate-crisis-how-risk-information-can-build-resilience-afghanistan,
last access: 30 June 2021.
Prokop, A.: Assessing the applicability of terrestrial laser scanning for
spatial snow depth measurements, Cold Reg. Sci. Technol., 54,
155–163, https://doi.org/10.1016/j.coldregions.2008.07.002, 2008.
Prokop, A., Schön, P., Singer, F., Pulfer, G., Naaim, M., and Thibert,
E.: Determining Avalanche Modelling Input Parameters Using Terrestrial Laser
Scanning Technology, International Snow Science Workshop, Grenoble,
Chamonix Mont-Blanc, 7–11 October 2013, 770–774, https://hal.archives-ouvertes.fr/hal-00950086/document (last access: 15 August 2022), 2013.
Qureshi, S.: Water resources management in Afghanistan: The issues and options, IWMI, 30 pp., https://books.google.com.tj/books?hl=fr&lr=&id=qJMAbmFqAFoC&oi=fnd&pg=PA10&dq=Water+resources+management+in+Afghanistan:+the+50+issues+and+options,&ots=TzN-kHTxZX&sig=-GMrnmUSiN77y73QcKBAz7LYldU&redir_esc=y#v=onepage&q&f=false (last access: 15 August 2022), 2002.
Schaffhauser, A., Adams, M., Fromm, R., Jörg, P., Luzi, G., Noferini,
L., and Sailer, R.: Remote sensing based retrieval of snow cover properties,
Cold Reg. Sci. Technol., 54, 164–175,
https://doi.org/10.1016/j.coldregions.2008.07.007, 2008.
Singh, D. K., Mishra, V. D., Gusain, H. S., Gupta, N., and Singh, A. K.:
Geo-spatial Modeling for Automated Demarcation of Snow Avalanche Hazard
Areas Using Landsat-8 Satellite Images and In Situ Data, J. Indian Soc. Remote
Sens., 47, 513–526, https://doi.org/10.1007/s12524-018-00936-w, 2019.
Singh, K. K., Singh, D. K., Thakur, N. K., Dewali, S. K., Negi, H. S.,
Snehmani, and Mishra, V. D.: Detection and mapping of snow avalanche debris
from Western Himalaya, India using remote sensing satellite images, Geocarto
Int., 37, 2561–2579, https://doi.org/10.1080/10106049.2020.1762762,
2020.
Smith, W. D., Dunning, S. A., Brough, S., Ross, N., and Telling, J.: GERALDINE (Google Earth Engine supRaglAciaL Debris INput dEtector): a new tool for identifying and monitoring supraglacial landslide inputs, Earth Surf. Dynam., 8, 1053–1065, https://doi.org/10.5194/esurf-8-1053-2020, 2020.
Soteres, R. L., Pedraza, J., and Carrasco, R. M.: Snow avalanche
susceptibility of the Circo de Gredos (Iberian Central System, Spain),
J. Maps, 16, 155–165,
https://doi.org/10.1080/17445647.2020.1717655, 2020.
Tompkin, C. and Leinss, S.: Backscatter Characteristics of Snow Avalanches
for Mapping With Local Resolution Weighting, IEEE J. Sel. Top.
Appl., 14, 4452–4464,
https://doi.org/10.1109/JSTARS.2021.3074418, 2021.
USAID: Afghanistan Avalanches, https://www.usaid.gov/humanitarian-assistance/afghanistan, last access: 15 August 2022.
Vickers, H., Eckerstorfer, M., Malnes, E., Larsen, Y., and Hindberg, H.: A method for automated snow avalanche debris detection through use of synthetic aperture radar (SAR) imaging, Earth and Space Science, 3, 446–462, https://doi.org/10.1002/2016EA000168, 2016.
Yang, J., Li, C., Li, L., Ding, J., Zhang, R., Han, T., and Liu, Y.:
Automatic Detection of Regional Snow Avalanches with Scattering and
Interference of C-band SAR Data, Remote Sensing, 12, 2781,
https://doi.org/10.3390/rs12172781, 2020.
Yariyan, P., Avand, M., Abbaspour, R. A., Karami, M., and Tiefenbacher, J.
P.: GIS-based spatial modeling of snow avalanches using four novel ensemble
models, Sci. Total Environ., 745, 141008,
https://doi.org/10.1016/j.scitotenv.2020.141008, 2020.
Zhang, J., Gurung, D. R., Liu, R., Murthy, M. S. R., and Su, F.: Abe Barek
landslide and landslide susceptibility assessment in Badakhshan Province,
Afghanistan, Landslides, 12, 597–609,
https://doi.org/10.1007/s10346-015-0558-5, 2015.
Short summary
Snow avalanches cause considerable material and human damage in all mountain regions of the world. We present the first model to automatically inventory avalanche deposits at the scale of a catchment area – here the Amu Panj in Afghanistan – every year since 1990. This model called Snow Avalanche Frequency Estimation (SAFE) is available online on the Google Engine. SAFE has been designed to be simple and universal to use. Nearly 810 000 avalanches were detected over the 32 years studied.
Snow avalanches cause considerable material and human damage in all mountain regions of the...