A Multi-Criteria GIS-Based Approach for Risk Assessment of Slope Instability Driven by Glacier Melting in the Alpine Area
Source abstract
Abstract
Climate change is resulting in significant transformations in mountain areas all over the world, causing the melting of glacier ice, reduction in snow accumulation, and permafrost loss. Changes in the mountain cryosphere are not only modifying flora and fauna distributions but also affecting the stability of slopes in those regions. For all these reasons, and because of the risks these phenomena pose to the population, the dentification of dangerous areas is a crucial step in the development of risk reduction strategies. While several methods and examples exist that cover the assessment and computation of single sub-components, there is still a lack of application of risk assessment due to glacier melting over large areas in which the final result can be directly employed in the design of risk mitigation policies at regional and municipal levels. This research is focused on landslides and gravitational movements on slopes resulting from rapid glacier melting phenomena in the Valle d’Aosta region in Italy, with the aim of providing a tool that can support spatial planning in response to climate change in Alpine environments. Through the conceptualization and development of a GIS-based and multi-criteria approach, risk is then estimated by defining hazard indices that consider different aspects, combining the experience acquired from studies carried out in various disciplinary fields, to obtain a framework at the regional level. This first assessment is then deepened for the Lys River Valley, where the mapping of hazardous areas was implemented, obtaining a classification of buildings according to their hazard score to estimate the potential damage and total risk relating to possible slope instability events due to ice melt at the local scale.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Landslides and related hazards · Cryospheric studies and observations · Climate change and permafrost
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Architecture, Built Environment and Construction Engineering (ABC), Politecnico di Milano, Via Ponzio 31, 20133 Milan, Italy
References (98)
Show source-provided references
1. Masson-Delmotte, V., Zhai, P., Pörtner, H.-O., Roberts, D., Skea, J., Shukla, P.R., Pirani, A., Moufouma-Okia, W., Péan, C., and Pidcock, R. (2018). Special Report on the Impacts of Global Warming of 1.5 C above Pre-Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty.
2. Udara Willhelm Abeydeera, L.H., Wadu Mesthrige, J., and Samarasinghalage, T.I. (2019). Global research on carbon emissions: A scientometric review. Sustainability, 11.10.3390/su11143972 ↗
3. A review of the global climate change impacts, adaptation, and sustainable mitigation measures10.1007/s11356-022-19718-6 ↗
4. A large-scale bibliometric analysis of global climate change research between 2001 and 201810.1007/s10584-022-03324-z ↗
5. Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability?10.1007/s00382-017-3901-9 ↗
6. A perfect model study on the reliability of the added small-scale information in regional climate change projections10.1007/s00382-022-06451-6 ↗
7. From federal to city mitigation and adaptation: Climate change policy in Mexico City10.1007/s11027-013-9455-1 ↗
8. The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: From emissions to global temperatures10.5194/gmd-15-9075-2022 ↗
9. Parmesan, C., Morecroft, M.D., Trisurat, Y., Adrian, R., Anshari, G.Z., Arneth, A., Gao, Q., Gonzalez, P., Harris, R., and Price, J. (2022). Terrestrial and Freshwater Ecosystems and Their Services (Chapter 2). IPCC 2022: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.
10. Rashid, I., Pelto, M., Gil, A., and Baig, M.H.A. (2022). Ecosystem and Hydrological Responses in Mountain Environments to the Changing Climate. Front. Environ. Sci., 10.10.3389/fenvs.2022.880386 ↗
11. Loss and damage in the mountain cryosphere10.1007/s10113-018-1385-8 ↗
12. Clague, J.J., and Shugar, D.H. (2023). Impacts of Loss of Cryosphere in the High Mountains of Northwest North America. Quaternary, 6.10.3390/quat6010001 ↗
13. Yao, X., Zhou, S., Sun, M., Duan, H., and Zhang, Y. (2023). Surging Glaciers in High Mountain Asia between 1986 and 2021. Remote Sens., 15.10.3390/rs15184595 ↗
14. Climate change in the mountain cryosphere: Impacts and responses10.1007/s10113-019-01507-6 ↗
15. Adaptation to mountain cryosphere change: Issues and challenges10.1080/17565529.2019.1617099 ↗
16. Links between seasonal suprapermafrost groundwater, the hydrothermal change of the active layer, and river runoff in alpine permafrost watersheds10.5194/hess-28-973-2024 ↗
17. Muresan, I.C., Harun, R., Arion, F.H., Fatah, A.O., and Dumitras, D.E. (2021). Exploring residents’ perceptions of the socio-cultural benefits of tourism development in the mountain area. Societies, 11.10.3390/soc11030083 ↗
18. Kostopoulou, S., Sofianou, E., Stergiou, E., and Xanthopoulou-Tsitsoni, V. (2021). Local Culture Festivals and Sustainable Tourism Development in Mountain Areas. The Region of Epirus, Greece. Transcending Borders in Tourism Through Innovation and Cultural Heritage: 8th International Conference, IACuDiT, Hydra, Greece, 1–3 September 2021, Springer International Publishing.10.1007/978-3-030-92491-1_30 ↗
19. Mountain sheep grazing systems provide multiple ecological, socio-economic, and food quality benefits10.1007/s13593-021-00751-7 ↗
20. Genovese, D., Culasso, F., Giacosa, E., and Battaglini, L.M. (2017). Can livestock farming and tourism coexist in mountain regions? A new business model for sustainability. Sustainability, 9.10.3390/su9112021 ↗
21. Deline, P., Gruber, S., Amann, F., Bodin, X., Delaloye, R., Failletaz, J., and Weber, S. (2021). Ice loss from glaciers and permafrost and related slope instability in high-mountain regions. Snow and Ice-Related Hazards, Risks, and Disasters, Elsevier.10.1016/B978-0-12-817129-5.00015-9 ↗
22. The need for stewardship of lands exposed by deglaciation from climate change
23. Future emergence of new ecosystems caused by glacial retreat10.1038/s41586-023-06302-2 ↗
24. Esposito, D., Cantatore, E., and Sonnessa, A. (2021). A multi risk analysis for the planning, management and retrofit of cultural heritage in historic urban districts. International Conference on Innovation in Urban and Regional Planning, Springer International Publishing.10.1007/978-3-030-68824-0_61 ↗
25. Baldassarre, B., Conticelli, E., and Santangelo, A. (2024). Planning for More Resilient and Safer Cities: A New Methodology for Seismic Risk Assessment at the Urban Scale, Applied to a Case Study in Italy. Sustainability, 16.10.3390/su16051892 ↗
26. A review of emergency response in disasters: Present and future perspectives10.1007/s11069-020-04297-x ↗
27. (2024, June 27). Walserweg. Available online: https://www.walserweg.it/en/the-walser/language-culture-and-tradition.
28. Landslide susceptibility evaluation in Alpine environment: 1. 3D Finite Element modeling of the Ruinon (IT) case study10.1016/j.gete.2023.100493 ↗
29. High-resolution high-accuracy orthophoto map and digital surface model of Forni Glacier tongue (Central Italian Alps) from UAV photogrammetry10.1080/17445647.2023.2217508 ↗
30. Development of a methodology for predicting landslide hazards at a regional scale10.1186/s40677-022-00231-4 ↗
31. Regional-scale landslide modeling using machine learning and GIS: A case study for Idukki district, Kerala, India10.1007/s11069-024-06592-3 ↗
32. Landslide hazard assessment in the Collazzone area, Umbria, Central Italy10.5194/nhess-6-115-2006 ↗
33. A physically based model for the topographic control on shallow landsliding10.1029/93WR02979 ↗
34. Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview10.1016/j.enggeo.2008.03.010 ↗
35. Mondini, A.C., Santangelo, M., Rocchetti, M., Rossetto, E., Manconi, A., and Monserrat, O. (2019). Sentinel-1 SAR amplitude imagery for rapid landslide detection. Remote Sens., 11.10.3390/rs11070760 ↗
36. A review of statistically-based landslide susceptibility models10.1016/j.earscirev.2018.03.001 ↗
37. Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake10.1016/j.geomorph.2010.12.030 ↗
38. Landslide hazard assessment: Summary review and new perspectives10.1007/s100640050066 ↗
39. Roccati, A., Paliaga, G., Luino, F., Faccini, F., and Turconi, L. (2021). GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment. Land, 10.10.3390/land10020162 ↗
40. GIS-based predictive models for regional-scale landslide susceptibility assessment and risk mapping along road corridors10.1080/19475705.2017.1292411 ↗
41. Dou, J., Tien Bui, D., Yunus, A.P., Jia, K., Song, X., Revhaug, I., Xia, H., and Zhu, Z. (2015). Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan. PLoS ONE, 10.10.1371/journal.pone.0133262 ↗
42. Schlögel, R., Kofler, C., Gariano, S.L., Van Campenhout, J., and Plummer, S. (2020). Changes in climate patterns and their association to natural hazard distribution in South Tyrol (Eastern Italian Alps). Sci. Rep., 10.10.1038/s41598-020-61615-w ↗
43. Zhang, Y. (2020). Research on the relationship between precipitation and landslide. E3S Web of Conferences, EDP Sciences.10.1051/e3sconf/202019804027 ↗
44. The role of the lithological setting on the landslide pattern and distribution10.1016/j.enggeo.2015.01.025 ↗
45. McColl, S.T., Davies, T.R.H., and McSaveney, M.J. (2010). Glacier retreat and rock-slope stability: Debunking debuttressing. Proceedings of the 11th Congress of the International Association for Engineering Geology and the Environment, Auckland, New Zealand, 5–10 September 2010, CRC Press.
46. Beyond debuttressing: Mechanics of paraglacial rock slope damage during repeat glacial cycles10.1002/2016JF003967 ↗
47. Global glacier mass changes and their contributions to sea-level rise from 1961 to 201610.1038/s41586-019-1071-0 ↗
48. Application of various strategies and methodologies for landslide susceptibility maps on a basin scale: The case study of Val Tartano, Italy10.1007/s12518-020-00344-1 ↗
49. Effect of the slope angle and its classification on landslide
50. Landslide risk assessment and management: An overview10.1016/S0013-7952(01)00093-X ↗
51. Wyllie, D.C., and Mah, C. (2004). Rock Slope Engineering, CRC Press.
52. The role of conditioning and triggering factors in the occurrence of landslides: A case study in the area north of Lisbon (Portugal)
53. Terzaghi, K., Peck, R.B., and Mesri, G. (1996). Soil Mechanics in Engineering Practice, John Wiley and Sons.
54. Landslide occurrence as a response to land use change: A review of evidence from New Zealand10.1016/S0341-8162(02)00170-4 ↗
55. Landslide triggering by rain infiltration10.1029/2000WR900090 ↗
56. Landslide inventories and their statistical properties10.1002/esp.1064 ↗
57. Erosion regulation as a function of human disturbances to vegetation cover: A conceptual model10.1007/s10980-013-9956-z ↗
58. Frost weathering and rockwall erosion in the southeastern Swiss Alps: Long-term (1994–2006) observations10.1016/j.geomorph.2007.11.013 ↗
59. Permafrost in steep bedrock slopes and its temperature-related destabilization following climate change10.1029/2006JF000547 ↗
60. Permafrost and climate in Europe: Monitoring and modelling thermal, geomorphological and geotechnical responses10.1016/j.earscirev.2008.12.002 ↗
61. Is climate change responsible for changing landslide activity in high mountains?10.1002/esp.2223 ↗
62. Quantifying the mechanical and hydrologic effects of riparian vegetation on streambank stability10.1002/esp.325 ↗
63. Stokes, A., Spanos, I., Norris, J.E., and Cammeraat, E. (2007). Eco-and Ground Bio-Engineering: The Use of Vegetation to Improve Slope Stability. Proceedings of the First International Conference on Eco-Engineering 13–17 September 2004, Springer Science and Business Media.10.1007/978-1-4020-5593-5 ↗
64. Root strength and root area ratio of forest species in Lombardy (Northern Italy)10.1007/s11104-009-9941-0 ↗
65. Development of progressive landslide failure in cohesive materials10.1130/G21147.1 ↗
66. Paraglacial geomorphology10.1016/S0277-3791(02)00005-7 ↗
67. Benn, D., and Evans, D.J. (2014). Glaciers and Glaciation, Routledge.10.4324/9780203785010 ↗
68. The Erosional and Weathering Impact of Water and Ice in Alpine Rock Walls
69. Paraglacial rock-slope stability10.1016/j.geomorph.2012.02.015 ↗
70. Large rock slope failures in Norway
71. The Clayoquot Sound Debris Flow Initiation Study, British Columbia
72. Valley formation by fluvial and glacial erosion10.1130/0091-7613(2002)030<1047:VFBFAG>2.0.CO;2 ↗
73. Modeling the impact of climate change on the water resources in the Beijiang River Basin, China
74. Initiation conditions for debris flows generated by runoff at Chalk Cliffs, central Colorado10.1016/j.geomorph.2007.03.017 ↗
75. Assessing landslide exposure in areas with limited landslide information10.1007/s10346-013-0386-4 ↗
76. Landslide vulnerability criteria: A case study from Umbria, Central Italy10.1007/s00267-006-0325-4 ↗
77. (2024, June 27). IFFI, Available online: https://www.isprambiente.gov.it/it/progetti/cartella-progetti-in-corso/suolo-e-territorio-1/iffi-inventario-dei-fenomeni-franosi-in-italia.
78. UN Educational, Scientific and Cultural Organisation—UNESCO (2024, June 27). Convention Concerning the Protection of the World Cultural and Natural Heritage. 16 November 1972. Available online: https://www.refworld.org/docid/4042287a4.html.
79. Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation10.1007/s10346-007-0087-y ↗
80. Landslide risk assessment and acceptable risk10.1139/t94-031 ↗
81. Fell, R., and Hartford, D. (2018). Landslide risk management. Landslide Risk Assessment, Routledge.10.1201/9780203749524-4 ↗
82. (2024, June 27). Geoportale Regione Valle d’Aosta. Available online: https://geoportale.regione.vda.it/.
83. (2024, June 27). GlaRiskAlp. Available online: https://www.fondazionemontagnasicura.org/archivio-progetti/il-progetto-glariskalp.
84. (2024, June 27). PermaNET Project. Available online: https://www.permanet-alpinespace.eu/home.html.
85. (2024, June 27). PERMOS. Available online: https://www.permos.ch/.
86. (2024, June 27). Centro funzionale Regione Autonoma Valle d’Aosta. Available online: https://cf.regione.vda.it/it/.
87. Geomorphological estimation of debris flow volumes in alpine basins
88. (2024, June 27). ROCKthe-ALPS Project. Available online: https://www.alpine-space.eu/project/rockthealps/.
89. United Nations Development Programme (2024, June 27). Bureau for Crisis Prevention. Reducing Disaster Risk: A Challenge for Development-a Global Report, Available online: https://www.undp.org/publications/reducing-disaster-risk-challenge-development.
90. (2024, June 27). ISTAT. Available online: https://www.istat.it/.
91. A quantitative vulnerability function for fluvial sediment transport10.1007/s11069-010-9623-5 ↗
92. Physical vulnerability assessment for alpine hazards: State of the art and future needs10.1007/s11069-010-9632-4 ↗
93. Towards an empirical vulnerability function for use in debris flow risk assessment10.5194/nhess-7-495-2007 ↗
94. Rockfall susceptibility along the regional road network of Aosta Valley Region (northwestern Italy)10.1080/17445647.2020.1850534 ↗
95. Giordan, D., Cignetti, M., Godone, D., Bertolo, D., and Paganone, M. (2021). Definition of an operative methodology for the management of Rockfalls along with the Road Network. Sustainability, 13.10.3390/su13147669 ↗
96. A-posteriori analysis of the performance of a rockfall susceptibility map10.1186/s40677-024-00300-w ↗
97. A novel dynamic rockfall susceptibility model including precipitation, temperature and snowmelt predictors: A case study in Aosta Valley (northern Italy)10.1007/s10346-023-02091-x ↗
98. Rockfall hazard estimation and related applications for a preliminary risk assessment at regional scale: An example from northwestern Italian Alps10.1007/s10346-023-02060-4 ↗