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Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy)

Author

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  • Lorenzo Sangelantoni

    (CETEMPS, Università dell’Aquila
    Università Politecnica delle Marche)

  • Eleonora Gioia

    (Università Politecnica delle Marche)

  • Fausto Marincioni

    (Università Politecnica delle Marche)

Abstract

Researchers have long attempted to determine the amount of rainfall needed to trigger slope failures, yet relatively little progress has been reported on the effects of climate change on landslide initiation. Indeed, some relationships between landslides and climate change have been highlighted, but sign and magnitude of this correlation remain uncertain and influenced by the spatial and temporal horizon considered. This work makes use of statistically adjusted high-resolution regional climate model simulations, to study the expected changes of landslides frequency in the eastern Esino river basin (Central Italy). Simulated rainfall was used in comparison with rainfall thresholds for landslide occurrence derived by two observation-based statistical models (1) the cumulative event rainfall–rainfall duration model, and (2) the Bayesian probabilistic model. Results show an overall increase in projected landslide occurrence over the twenty-first century. This is especially confirmed in the high-emission scenario representative concentration pathway 8.5, where according to the first model, the events above rainfall thresholds frequency shift from ~ 0.025 to ~ 0.05 in the mountainous sector of the study area. Moreover, Bayesian analysis revealed the possible occurrence of landslide-triggering rainfall with a magnitude never occurred over the historical period. Landslides frequency change signal presents also considerable seasonal patterns, with summer displaying the steepest positive trend coupled to the highest inter-model spread. The methodological chain here proposed aims at representing a flexible tool for future landslide-hazard assessment, applicable over different areas and time horizons (e.g., short-term climate projections or seasonal forecasts).

Suggested Citation

  • Lorenzo Sangelantoni & Eleonora Gioia & Fausto Marincioni, 2018. "Impact of climate change on landslides frequency: the Esino river basin case study (Central Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 849-884, September.
    • Handle: RePEc:spr:nathaz:v:93:y:2018:i:2:d:10.1007_s11069-018-3328-6
    DOI: 10.1007/s11069-018-3328-6
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    1. Qigen Lin & Ying Wang & Thomas Glade & Jiahui Zhang & Yue Zhang, 2020. "Assessing the spatiotemporal impact of climate change on event rainfall characteristics influencing landslide occurrences based on multiple GCM projections in China," Climatic Change, Springer, vol. 162(2), pages 761-779, September.
    2. Kai Wang & Shaojie Zhang, 2021. "Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 451-478, August.

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