Articles | Volume 25, issue 9
https://doi.org/10.5194/nhess-25-3559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-3559-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Parraguirre ice–rock avalanche 1987, semi-arid Andes, Chile – a holistic revision
Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
David Farías-Barahona
Department of Geography, University of Concepción, Concepción, Chile
Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Thomas Bruckner
Institut für Geographie, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
Lucia Scaff
Department of Geophysics, Faculty of Physical and Mathematical Sciences, University of Concepción, Concepción, Chile
Martin Mergili
Institut für Geographie und Raumforschung, Universität Graz, Graz, Austria
Santiago Montserrat
Advanced Mining Technology Center, AMTC, Universidad de Chile, Santiago, Chile
Humberto Peña
Diagua: Derecho e Ingeniería del Agua Consulting, Santiago, Chile
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Ethan Welty, Michael Zemp, Francisco Navarro, Matthias Huss, Johannes J. Fürst, Isabelle Gärtner-Roer, Johannes Landmann, Horst Machguth, Kathrin Naegeli, Liss M. Andreassen, Daniel Farinotti, Huilin Li, and GlaThiDa Contributors
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Catrin Stadelmann, Johannes Jakob Fürst, Thomas Mölg, and Matthias Braun
The Cryosphere, 14, 3399–3406, https://doi.org/10.5194/tc-14-3399-2020, https://doi.org/10.5194/tc-14-3399-2020, 2020
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Cited articles
Ambrus, J.: Guía de los Andes Centrales, Parte X - Zona de las Lagunas, Obra inédita, p. 10, https://doi.org/10.1029/2009JF001405, 1967. a
Biskaborn, B., Smith, S., Noetzli, J., Matthes, H., Vieira, G., Streletskiy, D., Schoeneich, P., Romanovsky, V., Lewkowicz, A., Abramov, A., Allard, M., Boike, J., Cable, W., Christiansen, H., Delaloye, R., Diekmann, B., Drozdov, D., Etzelmüller, B., Grosse, G., Guglielmin, M., Ingeman-Nielsen, T., Isaksen, K., Ishikawa, M., Johansson, M., Johannsson, H., Joo, A., Kaverin, D., Kholodov, A., Konstantinov, P., Kröger, T., Lambiel, C., Lanckman, J., Luo, D., Malkova, G., Meiklejohn, I., Moskalenko, N., Oliva, M., Phillips, M., Ramos, M., Sannel, A., Sergeev, D., Seybold, C., Skryabin, P., Vasiliev, A., Wu, Q., Yoshikawa, K., Zheleznyak, M., and Lantuit, H.: Permafrost is warming at a global scale, Nat. Commun., 110, 264, https://doi.org/10.1038/s41467-018-08240-4, 2019. a
Bronfman, N., Repetto, P., Guerrero, N., Neda, J. C., and Cisternas, P.: Temporal evolution in social vulnerability to natural hazards in Chile, Nat. Hazards, 107, 1757–1784, https://doi.org/10.1007/s11069-021-04657-1, 2021. a
Chen, D., Rojas, M., Samset, B., Cobb, K., Diongue Niang, A., Edwards, P., Emori, S., Faria, S., Hawkins, E., Hope, P., Huybrechts, P., Meinshausen, M., Mustafa, S., Plattner, G.-K., and Tréguier, A.-M.: Framing, Context, and Methods, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., 147–286, IF-2018-23356401-APN-DNGAAYEA#MAD, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, https://doi.org/10.1017/9781009157896.003, 2021. a, b
Farías-Barahona, D., Vivero, S., Casassa, G., Schaefer, M., Burger, F., Seehaus, T., Iribarren-Anacona, P., Escobar, F., and Braun, M.: Geodetic Mass Balances and Area Changes of Echaurren Norte Glacier (Central Andes, Chile) between 1955 and 2015, Remote Sens., 11, 260, https://doi.org/10.3390/rs11030260, 2019. a
Farías-Barahona, D., Wilson, R., Bravo, C., Vivero, S., Caro, A., Shaw, T., Casassa, G., Ayala, A., Mejías, A., Harrison, S., Glasser, N., McPhee, J., Wündrich, O., and Braun, M.: A near 90-year record of the evolution of El Morado Glacier and its proglacial lake, Central Chilean Andes, J. Glaciol., 66, 846–860, https://doi.org/10.1017/jog.2020.52, 2020. a
Formetta, G., Capparelli, G., and Versace, P.: Evaluating performance of simplified physically based models for shallow landslide susceptibility, Hydrol. Earth Syst. Sci., 20, 4585–4603, https://doi.org/10.5194/hess-20-4585-2016, 2016. a
Gariano, S. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016. a
Gruber, S.: Derivation and analysis of a high-resolution estimate of global permafrost zonation, The Cryosphere, 6, 221–233, https://doi.org/10.5194/tc-6-221-2012, 2012. a
Gruber, S. and Haeberli, W.: Permafrost in steep bedrock slopes and its temperature-related destabilization following climate change, J. Geophys. Res.-Earth, 112, F02S18, https://doi.org/10.1029/2006JF000547, 2007. a
Gupta, S., Lehmann, P., Bickel, S., Bonetti, S., and Or, D.: Global Mapping of Potential and Climatic Plant-Available Soil Water, J. Ad. Model. Earth Sy., 15, e2022MS003277, https://doi.org/10.1029/2022MS003277, 2023. a
Hauser, A.: Rock avalanche and resulting debris flow in Estero Parraguirre and Río Colorado, Region Metropolitana, Chile, in: Catastrophic Landslides: Effects, Occurrence, and Mechanisms, edited by: Evans. S. G. and Degraff, J. V., Geological Society of America Reviews in Engineering Geology, 15, 135–148, 2002. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on single levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.adbb2d47, 2023. a
Huggel, C., Khabarov, N., Korup, O., and Obersteiner, M.: Physical impacts of climate change on landslide occurrence and related adaptation, 121–133, Cambridge University Press, https://doi.org/10.5167/uzh-68356, 2012. a
Hungr, O.: Classification and terminology, in: Debris-flow Hazards and Related Phenomena, Springer Praxis Books, Springer, Berlin, Heidelberg, ISBN 10.1007/3-540-27129-5_2, 2005. a
Hungr, O., Evans, S., Bovis, M., and Hutchinson, J.: A review of the classification of landslides of the flow type, Environ. Eng. Geosci., 7, 221–238, https://doi.org/10.2113/gseegeosci.7.3.221, 2001. a
Iribarren Anacona, P., Norton, K., Mackintosh, A., Escobar, F., Allen, S., Mazzorana, B., and Schaefer, M.: Dynamics of an outburst flood originating from a small and high-altitude glacier in the Arid Andes of Chile, Nat. Hazards, 94, 93–119, https://doi.org/10.1007/s11069-018-3376-y, 2018. a
Kargel, J. S., Leonard, G. J., Shugar, D. H., Haritashya, U. K., Bevington, A., Fielding, E. J., Fujita, K., Geertsema, M., Miles, E. S., Steiner, J., Anderson, E., Bajracharya, S., Bawden, G. W., Breashears, D. F., Byers, A., Collins, B., Dhital, M. R., Donnellan, A., Evans, T. L., Geai, M. L., Glasscoe, M. T., Green, D., Gurung, D. R., Heijenk, R., Hilborn, A., Hudnut, K., Huyck, C., Immerzeel, W. W., Liming, J., Jibson, R., Kääb, A., Khanal, N. R., Kirschbaum, D., Kraaijenbrink, P. D. A., Lamsal, D., Shiyin, L., Mingyang, L., McKinney, D., Nahirnick, N. K., Zhuotong, N., Ojha, S., Olsenholler, J., Painter, T. H., Pleasants, M., Pratima, K. C., Yuan, Q. I., Raup, B. H., Regmi, D., Rounce, D. R., Sakai, A., Donghui, S., Shea, J. M., Shrestha, A. B., Shukla, A., Stumm, D., van der Kooij, M., Voss, K., Xin, W., Weihs, B., Wolfe, D., Lizong, W., Xiaojun, Y., Yoder, M. R., and Young, N.: Geomorphic and geologic controls of geohazards induced by Nepal's 2015 Gorkha earthquake, Science, 351, aac8353, https://doi.org/10.1126/science.aac8353, 2016. a
Mergili, M. and Pudasaini, S.: r.avaflow – The mass flow simulation tool. r.avaflow 2.4 User manual (2014–2020), https://www.avaflow.org (last access: 3 September 2025), 2024. a
Mergili, M., Fischer, J.-T., Krenn, J., and Pudasaini, S. P.: r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows, Geosci. Model Dev., 10, 553–569, https://doi.org/10.5194/gmd-10-553-2017, 2017. a, b, c, d
Mergili, M., Emmer, A., Juricová, A., Cochachin, A., Fischer, J., Huggel, C., and Pudasaini, S.: How well can we simulate complex hydro-geomorphic process chains? The 2012 multi-lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú), Earth Surf. Proc. Land., 43, 1373–1389, https://doi.org/10.1002/esp.4318, 2018a. a, b
Mergili, M., Frank, B., Fischer, J., Huggel, C., and Pudasaini, S.: Computational experiments on the 1962 and 1970 landslide events at Huascarán (Peru) with r.avaflow: Lessons learned for predictive mass flow simulations, Geomorphology, 322, 15–28, https://doi.org/10.1016/j.geomorph.2018.08.032, 2018b. a, b
Mergili, M., Pudasaini, S. P., Emmer, A., Fischer, J.-T., Cochachin, A., and Frey, H.: Reconstruction of the 1941 GLOF process chain at Lake Palcacocha (Cordillera Blanca, Peru), Hydrol. Earth Syst. Sci., 24, 93–114, https://doi.org/10.5194/hess-24-93-2020, 2020. a, b
Moreiras, S., Sepúlveda, S., Correas-González, M., Lauro, C., Vergara, I., Jeanneret, P., Junquera-Torrado, S., Cuevas, J., Maldonado, A., Antinao, J., and Lara, M.: Debris Flows Occurrence in the Semiarid Central Andes under Climate Change Scenario, Geosciences, 11, 43, https://doi.org/10.3390/geosciences11020043, 2021. a, b, c
Naranjo, J., Fernández, J., and Santiano, J.: Estudio de peligros de flujos de detritus en el area de el Alfalfal, cuenca del Rio Colorado, comuna San Jose de Maipo, Servicio Nacional de Geologia y Mineria, Santiago, Colección BSNGM 11237, https://catalogobiblioteca.sernageomin.cl/cgi-bin/koha/opac-detail.pl?biblionumber=271315&query_desc=kw%2Cwrdl%3A%20alfalfal, 2001. a, b, c, d, e, f, g
Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011. a
Piderit, C.: Primera Ascensión al Monte Rabicano, Revista Andina No. 20, Club Andino de Chile, 7–14, https://www.andeshandbook.org/media/documents/Andina_N_20_1940_Mar.pdf, 1940. a
Pudasaini, S. and Mergili, M.: A multi-phase mass flow model, J. Geophys. Res.-Earth, 124, 2920–2942, https://doi.org/10.1029/2019JF005204, 2019. a
Rounce, D. R., Hock, R., Maussion, F., Hugonnet, R., Kochtitzky, W., Huss, M., Berthier, E., Brinkerhoff, D., Compagno, L., Copland, L., Farinotti, D., Menounos, B., and McNabb, R. W.: Global glacier change in the 21st century: Every increase in temperature matters., Science, 379, 78–83, https://doi.org/10.1126/science.abo1324, 2023. a
Sepúlveda, S., Rebolledo, S., and Vargas, G.: Recent catastrophic debris flows in Chile: Geological hazard, climatic relationships and human response, Quatern. Int., 158, 83–95, https://doi.org/10.1016/j.quaint.2006.05.031, 2006a. a
Sepúlveda, S., Rebolledo, S., Lara, M., and Padilla, C.: Landslide hazards in Santiago, Chile: An overview, International Association for Engineering Geology and the Environment, 105, https://media.geolsoc.org.uk/iaeg2006/ (last access: 3 September 2025), 2006b. a
Sepúlveda, S., Tobar, C., Rosales, V., Ochoa-Cornejo, F., and Lara, M.: Megalandslides and deglaciation: modelling of two case studies in the Central Andes, Nat. Hazards, 118, 1561–1572, https://doi.org/10.1007/s11069-023-06067-x, 2023. a
Stoffel, M., Allen, S., Ballesteros-Cánovas, J., Jakob, M., and Oakley, N.: Climate Change Effects on Debris Flows, in: Advances in Debris-flow Science and Practice, edited by: Jakob, M., McDougall, S., and Santi, P., Geoenvironmental Disaster Reduction, Springer, https://doi.org/10.1007/978-3-031-48691-3_10, 2024. a
Thackeray, C., Hall, A., Norris, J., and Chen, D.: Constraining the increased frequency of global precipitation extremes under warming, Nat. Clim. Change, 12, 441–448, https://doi.org/10.1038/s41558-022-01329-1, 2022. a
Varnes, D.: Slope Movement Types and Processes, in: Landslides, Analysis and Control, Transportation Research Board, edited by: Schuster, R. L. and Krizek, R. J., Special Report, 11–33, https://trid.trb.org/View/86168, 1978. a
Vergara Dal Pont, I., Moreiras, S. M., Santibañez Ossa, F., Araneo, D., and Ferrando, F.: Debris flows triggered from melt of seasonal snow and ice within the active layer in the semi-arid Andes, Permafrost Periglac., 31, 57–68, https://doi.org/10.1002/ppp.2020, 2020. a
Vilca, O., Mergili, M., Emmer, A., Frey, H., and Huggel, C.: The 2020 glacial lake outburst flood process chain at Lake Salkantaycocha (Cordillera Vilcabamba, Peru), Landslides, 18, 2211–2223, https://doi.org/10.1007/s10346-021-01670-0, 2021. a
Wang, Y., Hutter, K., and Pudasaini, S.: The Savage-Hutter theory: A system of partial differential equations for avalanche flows of snow, debris, and mud, J. Appl. Math. Mech., 84, 507–527, https://doi.org/10.1002/zamm.200310123, 2004. a
Zhang, Y., Schaap, M., and Zha, Y.: A high-resolution global map of soil hydraulic properties produced by a hierarchical parameterization of a physically based water retention model, Water Resour. Res., 54, 9774–9790, https://doi.org/10.1029/2018WR023539, 2018. a
Zscheischler, J., Martius, O., Westra, S., Bevacqua, E., Raymond, C., Horton, R., van den Hurk, B., AghaKouchak, A., Jézéquel, A., Mahecha, M., Maraun, D., Ramos, A., Ridder, N., Thiery, W., and Vignotto, E.: A typology of compound weather and climate event, Nat. Rev. Earth Environ., 1, 333–347, https://doi.org/10.1038/s43017-020-0060-z, 2020. a
Short summary
The 1987 Parraguirre ice–rock avalanche developed into a devastating debris flow, causing the loss of many lives and inflicting severe damage near Santiago, Chile. Here, we revise this event, combining various observational records with modelling techniques. In that year, important snow cover coincided with persistent warm periods in spring. We also put forward upward corrections for the trigger and flood volumes involved in this debris flow. Finally, temporary river damming was key for the flow ferocity.
The 1987 Parraguirre ice–rock avalanche developed into a devastating debris flow, causing the...
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