Articles | Volume 24, issue 6
https://doi.org/10.5194/nhess-24-1897-2024
© Author(s) 2024. 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-24-1897-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jun 2024
Research article |
| 03 Jun 2024
| 03 Jun 2024
Assessing the impact of climate change on landslides near Vejle, Denmark, using public data
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Julian Koch
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Marie Keiding
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Gregor Luetzenburg
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
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Cited articles
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An introduction to the European Hydrological System – Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system, J. Hydrol., 87, 45–59, 1986.
Alberti, S., Olsen, M. J., Allan, J., and Leshchinsky, B.: Feedback thresholds between coastal retreat and landslide activity, Eng. Geol., 301, 106620, https://doi.org/10.1016/j.enggeo.2022.106620, 2022.
Bennett, G. L., Roering, J. J., Mackey, B. H., Handwerger, A. L., Schmidt, D. A., and Guillod, B. P.: Historic drought puts the brakes on earthflows in Northern California, Geophys. Res. Lett., 43, 5725–5731, https://doi.org/10.1002/2016GL068378, 2016.
Cappelen, J.: Ekstrem nedbør i Danmark – opgørelser og analyser til og med 2018, Danmarks Meteorologiske Institut, Copenhagen, https://www.dmi.dk/fileadmin/Rapporter/2021/DMIRap21-06.pdf (last access: 30 May 2024), 2019.
Coe, J. A.: Regional moisture balance control of landslide motion: Implications for landslide forecasting in a changing climate, Geology, 40, 323–326, https://doi.org/10.1130/G32897.1, 2012.
Coe, J. A., Michael, J. A., Crovelli, R. A., Savage, W. Z., Laprade, W. T., and Nashem, W. D.: Probabilistic assessment of precipitation-triggered landslides using historical records of landslide occurence, Seattle, Washington, Environ. Eng. Geosci., 10, 103–122, https://doi.org/10.2113/10.2.103, 2004.
Cohen-Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., and Ferretti, A.: Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series, Geophys. Res. Lett., 45, 1878–1887, https://doi.org/10.1002/2017GL075950, 2018.
Collison, A., Wade, S., Gri, J., and Dehn, M.: Modelling the impact of predicted climate change on landslide frequency and magnitude in SE England, Eng. Geol., 55, 205–218, 2000.
Copernicus Land Monitoring Service: European Ground Motion Service, https://land.copernicus.eu/en/products/european-ground-motion-service (last access: 29 January 2024), 2024.
Corominas, J., Moya, J., Ledesma, A., Lloret, A., and Gili, J. A.: Prediction of ground displacements and velocities from groundwater level changes at the Vallcebre landslide (Eastern Pyrenees, Spain), Landslides, 2, 83–96, https://doi.org/10.1007/s10346-005-0049-1, 2005.
Costantini, M., Minati, F., Trillo, F., Ferretti, A., Passera, E., Rucci, A., Dehls, J., Larsen, Y., Marinkovic, P., Eineder, M., Brcic, R., Siegmund, R., Kotzerke, P., Kenyeres, A., Costantini, V., Proietti, S., Solari, L., and Andersen, H. S.: EGMS: Europe-Wide Ground Motion Monitoring based on Full Resolution Insar Processing of All Sentinel-1 Acquisitions, in: IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, 17–22 July 2022, Kuala Lumpur, Malaysia, 5093–5096, https://doi.org/10.1109/IGARSS46834.2022.9884966, 2022.
Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., and Crippa, B.: Persistent Scatterer Interferometry: A review, ISPRS J. Photogram. Remote Sens., 115, 78–89, https://doi.org/10.1016/j.isprsjprs.2015.10.011, 2016.
Crosetto, M., Solari, L., Mróz, M., Balasis-Levinsen, J., Casagli, N., Frei, M., Oyen, A., Moldestad, D. A., Bateson, L., Guerrieri, L., Comerci, V., and Andersen, H. S.: The evolution of wide-area DInSAR: From regional and national services to the European ground motion service, Remote Sens., 12, 1–20, https://doi.org/10.3390/RS12122043, 2020.
Crozier, M. J.: Deciphering the effect of climate change on landslide activity: A review, Geomorphology, 124, 260–267, https://doi.org/10.1016/j.geomorph.2010.04.009, 2010.
Dixon, N. and Brook, E.: Impact of predicted climate change on landslide reactivation: Case study of Mam Tor, UK, Landslides, 4, 137–147, https://doi.org/10.1007/s10346-006-0071-y, 2007.
DMI: Klimaatlas, https://www.dmi.dk/klima-atlas/data-i-klimaatlas/ (last access: 30 January 2023), 2023.
DMI: Weather archive Vejle, https://www.dmi.dk/lokationarkiv/show/DK/2621215/Greve?cHash=cd7318c15ef5cd901a6038c352a7d4ed (last access: 25 January 2024), 2024.
Ferretti, A., Prati, C., and Rocca, F.: Permanent Scatterers in SAR Interferometry, IEEE T. Geosc. Remote, 39, 8–20, 2001.
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004 to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181, https://doi.org/10.5194/nhess-18-2161-2018, 2018.
Gariano, S. L. 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.
Håkansson, E. and Pedersen, S. A. S.: Geologisk Kort over den Danske Undergrund, Varv, https://tidsskrift.dk/varv/issue/archive (last access: 30 May 2024), 1992.
Handwerger, A. L., Fielding, E. J., Huang, M. H., Bennett, G. L., Liang, C., and Schulz, W. H.: Widespread Initiation, Reactivation, and Acceleration of Landslides in the Northern California Coast Ranges due to Extreme Rainfall, J. Geophys. Res.-Earth, 124, 1782–1797, https://doi.org/10.1029/2019JF005035, 2019.
Handwerger, A. L., Fielding, E. J., Sangha, S. S., and Bekaert, D. P. S.: Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates, Geophys. Res. Lett., 49, 1–12, https://doi.org/10.1029/2022GL099499, 2022.
Heilmann-Clausen, C., Nielsen, O. B., and Gersner, F.: Lithostratigraphy and depositional environments in the Upper Paleocene and Eocene of Denmark, Bull. Geol. Soc. Denmark, 33, 287–323, 1985.
Henriksen, H. J., Troldborg, L., Nyegaard, P., Sonnenborg, T. O., Refsgaard, J. C., and Madsen, B.: Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280, 52–71, 2003.
Henriksen, H. J., Kragh, S. J., Gotfredsen, J., Ondracek, M., van Til, M., Jakobsen, A., Schneider, R. J. M., Koch, J., Troldborg, L., Rasmussen, P., Pasten-Zapata, E., and Stisen, S.: Dokumentationsrapport vedr. modelleverancer til Hydrologisk Informations- og Prognosesystem, https://sdfe.dk/media/2920242/hip4plus_dokumentationsrapport31jan2021.pdf (last access: 30 May 2024), 2020.
Hermanns, R. L., Niedermann, S., Villanueva Garcia, A., and Schellenberger, A.: Rock avalanching in the NW argentine andes as a result of complex interactions of lithologic, structural and topographic boundary conditions, climate change and active tectonics, in: Landslides from Massive Rock Slope Failure, edited by: Evans, S. G., Scarawcia Mugnozza, G., Strom, A. L., and Hermanns, R. L., Springer Netherlands, Celano, 497–520, 2006.
Herrera, G., Mateos, R. M., García-Davalillo, J. C., Grandjean, G., Poyiadji, E., Maftei, R., Filipciuc, T. C., Jemec Auflič, M., Jež, J., Podolszki, L., Trigila, A., Iadanza, C., Raetzo, H., Kociu, A., Przyłucka, M., Kułak, M., Sheehy, M., Pellicer, X. M., McKeown, C., Ryan, G., Kopačková, V., Frei, M., Kuhn, D., Hermanns, R. L., Koulermou, N., Smith, C. A., Engdahl, M., Buxó, P., Gonzalez, M., Dashwood, C., Reeves, H., Cigna, F., Lik, P., Pauditš, P., Mikulėnas, V., Demir, V., Raha, M., Quental, L., Sandić, C., Fusi, B., and Jensen, O. A.: Landslide databases in the Geological Surveys of Europe, Landslides, 15, 359–379, https://doi.org/10.1007/s10346-017-0902-z, 2018.
Højberg, A. L., Troldborg, L., Stisen, S., Christensen, B. B., and Henriksen, H. J.: Stakeholder driven update and improvement of a national water resources model, Environ. Model. Softw., 40, 202–213, 2013.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of landslide types, an update, Landslides, 11, 167–194, https://doi.org/10.1007/s10346-013-0436-y, 2014.
Hydrologisk Informations- og Prognosesystem: https://hip.dataforsyningen.dk/ (last access: 29 January 2024), 2024.
Iverson, R. M.: Landslide triggering by rain infiltration, Water Resour. Res., 36, 1897–1910, https://doi.org/10.1029/2000WR900090, 2000.
Jupiter database drill log: https://data.geus.dk/JupiterWWW/borerapport.jsp?borid=458263 (last access: 13 December 2023), 2023.
Kashyap, R., Pandey, A. C., and Parida, B. R.: Spatio-temporal variability of monsoon precipitation and their effect on precipitation triggered landslides in relation to relief in Himalayas, Spat. Inform. Res., 29, 857–869, https://doi.org/10.1007/s41324-021-00392-8, 2021.
Koch, J., Gotfredsen, J., Schneider, R., Troldborg, L., Stisen, S., and Henriksen, H. J.: High resolution water table modelling of the shallow groundwater using a knowledge-guided gradient boosting decision tree model, Front. Water, 3, 701726, https://doi.org/10.3389/frwa.2021.701726, 2021.
Lin, Q., Steger, S., Pittore, M., Zhang, J., Wang, L., Jiang, T., and Wang, Y.: Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change, Sci. Total Environ., 850, 158049, https://doi.org/10.1016/j.scitotenv.2022.158049, 2022.
Luetzenburg, G., Svennevig, K., Bjørk, A. A., Keiding, M., and Kroon, A.: A national landslide inventory for Denmark, Earth Syst. Sci. Data, 14, 3157–3165, https://doi.org/10.5194/essd-14-3157-2022, 2022.
Luna, L. V. and Korup, O.: Seasonal Landslide Activity Lags Annual Precipitation Pattern in the Pacific Northwest, Geophys. Res. Lett., 49, 1–11, https://doi.org/10.1029/2022gl098506, 2022.
Magnin, F., Josnin, J. Y., Ravanel, L., Pergaud, J., Pohl, B., and Deline, P.: Modelling rock wall permafrost degradation in the Mont Blanc massif from the LIA to the end of the 21st century, The Cryosphere, 11, 1813–1834, https://doi.org/10.5194/tc-11-1813-2017, 2017.
Magnin, F., Etzelmüller, B., Westermann, S., Isaksen, K., Hilger, P., and Hermanns, R. L.: Permafrost distribution in steep rock slopes in Norway: measurements, statistical modelling and implications for geomorphological processes, Earth Surf. Dynam., 7, 1019–1040, https://doi.org/10.5194/esurf-7-1019-2019, 2019.
Malet, J.-P., van Asch, T. W. J., van Beek, R., and Maquaire, O.: Forecasting the behaviour of complex landslides with a spatially distributed hydrological model, Nat. Hazards Earth Syst. Sci., 5, 71–85, https://doi.org/10.5194/nhess-5-71-2005, 2005.
Mateos, R. M., López-Vinielles, J., Poyiadji, E., Tsagkas, D., Sheehy, M., Hadjicharalambous, K., Liscák, P., Podolski, L., Laskowicz, I., Iadanza, C., Gauert, C., Todorović, S., Auflič, M. J., Maftei, R., Hermanns, R. L., Kociu, A., Sandić, C., Mauter, R., Sarro, R., Béjar, M., and Herrera, G.: Integration of landslide hazard into urban planning across Europe, Landsc. Urban Plan., 196, 103740, https://doi.org/10.1016/j.landurbplan.2019.103740, 2020.
Moreiras, S., Lisboa, M. S., and Mastrantonio, L.: The role of snow melting upon landslides in the central Argentinean Andes, Earth Surf. Proc. Land., 37, 1106–1119, https://doi.org/10.1002/esp.3239, 2012.
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.
Pasten-Zapata, E., Sonnenborg, T. O., and Refsgaard, J. C.: Climate change: Sources of uncertainty in precipitation and temperature projections for Denmark, GEUS Bull., 43, e2019430102, https://doi.org/10.34194/GEUSB-201943-01-02, 2019.
Penna, I. M., Magnin, F., Nicolet, P., Etzelmüller, B., Hermanns, R. L., Böhme, M., Kristensen, L., Nöel, F., Bredal, M., and Dehls, J. F.: Permafrost controls the displacement rates of large unstable rock-slopes in subarctic environments, Global Planet. Change, 220, 104017, https://doi.org/10.1016/j.gloplacha.2022.104017, 2023.
Peres, D. J. and Cancelliere, A.: Modeling impacts of climate change on return period of landslide triggering, J. Hydrol., 567, 420–434, https://doi.org/10.1016/j.jhydrol.2018.10.036, 2018.
Pfeiffer, J., Zieher, T., Bremer, M., Wichmann, V., and Rutzinger, M.: Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria), Remote Sens., 10, 1688, https://doi.org/10.3390/rs10111688, 2018.
Pollock, W. and Wartman, J.: Human Vulnerability to Landslides, GeoHealth, 4, 1–17, https://doi.org/10.1029/2020GH000287, 2020.
Rasmussen, E. S., Dybkjær, K., and Piasecki, S.: Lithostratigraphy of the Upper Oligocene – Miocene succession of Denmark, Geological Survey of Denmark and Greenland Bulletin, 92 pp., https://doi.org/10.34194/geusb.v22.4733, 2010.
Rosen, P. A., Hensley, S., Joughin, I. R., Li, F. K., Madsen, S. N., Rodriguez, E., and Goldstein, R.: Synthetic aperture radar interferometry, Proc. IEEE, 88, 333–382, https://doi.org/10.1109/5.838084, 2000.
R Project: A language and environment for statistical computing: https://www.r-project.org/ (last access: 30 January 2023), 2023.
Saba, S. B., van der Meijde, M., and van der Werff, H.: Spatiotemporal landslide detection for the 2005 Kashmir earthquake region, Geomorphology, 124, 17–25, https://doi.org/10.1016/j.geomorph.2010.07.026, 2010.
Scaioni, M., Longoni, L., Melillo, V., and Papini, M.: Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives, Remote Sens., 6, 9600–9652, https://doi.org/10.3390/rs6109600, 2014.
Scharling, M.: Klimagrid Danmark Nedbør 10×10 km (ver. 2) – Metodebeskrivelse, Danish Meteorological Institute Technical Report, Danish Meteorological Institute, Copenhagen, https://www.dmi.dk/fileadmin/user_upload/Rapporter/TR/1999/tr99-15.pdf (last access: 30 May 2024), 1999.
SDFI: Denmark's Elevation Model, https://eng.sdfi.dk/data/the-danish-elevation-model-dk-dem (last access: 30 May 2024), 2020.
Svennevig, K. and Keiding, M.: En dansk nomenklatur for landskred, Geologisk Tidsskrift, 2020, 19–30, 2020.
Svennevig, K., Luetzenburg, G., Keiding, M. K., Pedersen, S. A. S., Asbjørn, S., and Pedersen, S. A. S.: Preliminary landslide mapping in Denmark indicates an underestimated geohazard, GEUS Bull., 44, 1–6, https://doi.org/10.34194/geusb.v44.5302, 2020.
Svennevig, K., Hermanns, R. L., Keiding, M., Binder, D., Citterio, M., Dahl-Jensen, T., Mertl, S., Sørensen, E. V., and Voss, P. H.: A large frozen debris avalanche entraining warming permafrost ground – the June 2021 Assapaat landslide, West Greenland, Landslides, 19, 2549–2567, https://doi.org/10.1007/s10346-022-01922-7, 2022.
Svennevig, K., Keiding, M., Korsgaard, N. J., Lucas, A., Owen, M., Poulsen, M. D., Priebe, J., Sørensen, E. V., and Morino, C.: Uncovering a 70-year-old permafrost degradation induced disaster in the Arctic, the 1952 Niiortuut landslide-tsunami in central West Greenland, Sci. Total Environ., 859, 160110, https://doi.org/10.1016/j.scitotenv.2022.160110, 2023.
Terzaghi, K.: Mechanism of Landslides, edited by: Paige, S., Geological Society of America, https://doi.org/10.1130/Berkey.1950.83, 1950.
Uhlemann, S., Smith, A., Chambers, J., Dixon, N., Dijkstra, T., Haslam, E., Meldrum, P., Merritt, A., Gunn, D., and Mackay, J.: Assessment of ground-based monitoring techniques applied to landslide investigations, Geomorphology, 253, 438–451, https://doi.org/10.1016/j.geomorph.2015.10.027, 2016.
van Asch, T. W. J. and Buma, J. T.: Modelling groundwater fluctuations and the frequency of movement of a landslide in the Terres Noires region of Barcelonnette (France), Earth Surf. Proc. Land., 22, 131–141, https://doi.org/10.1002/(SICI)1096-9837(199702)22:2<131::AID-ESP679>3.0.CO;2-J, 1997.
van Asch, T. W. J., Buma, J., and Van Beek, L. P. H.: A view on some hydrological triggering systems in landslides, Geomorphology, 30, 25–32, https://doi.org/10.1016/S0169-555X(99)00042-2, 1999.
van Asch, T. W. J., Malet, J. P., and Bogaard, T. A.: The effect of groundwater fluctuations on the velocity pattern of slow-moving landslides, Nat. Hazards Earth Syst. Sci., 9, 739–749, https://doi.org/10.5194/nhess-9-739-2009, 2009.
Van Beek, L. P. H. and Van Asch, T. W. J.: Regional assessment of the effects of land-use change on landslide hazard by means of physically based modelling, Nat. Hazards, 31, 289–304, https://doi.org/10.1023/B:NHAZ.0000020267.39691.39, 2004.
Vitousek, S., Buscombe, D., Vos, K., Barnard, P. L., Ritchie, A. C., and Warrick, J. A.: The future of coastal monitoring through satellite remote sensing, Cambridge Prisms: Coastal Futures, 1, e10, https://doi.org/10.1017/cft.2022.4, 2023.
Wistuba, M., Gorczyca, E., and Malik, I.: Inferring precipitation thresholds of landslide activity from long-term dendrochronological and precipitation data: Case study on the unstable slope at Karpenciny, Poland, Eng. Geol., 294, 106398, https://doi.org/10.1016/j.enggeo.2021.106398, 2021.
Zieher, T., Gallotti, G., Rianna, G., Reder, A., and Pfeiffer, J.: Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide, Nat. Hazards, 115, 357–387, https://doi.org/10.1007/s11069-022-05558-7, 2023.
Short summary
In our study, we analysed publicly available data in order to investigate the impact of climate change on landslides in Denmark. Our research indicates that the rising groundwater table due to climate change will result in an increase in landslide activity. Previous incidents of extremely wet winters have caused damage to infrastructure and buildings due to landslides. This study is the first of its kind to exclusively rely on public data and examine landslides in Denmark.
In our study, we analysed publicly available data in order to investigate the impact of climate...
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