The Belt and Road Initiative is a collaboration project launched by the Chinese Government to connect more than 65 countriesall over the word by developing infrastructures, facilities, and support collaborations among involved Countries. TheSilk Road Disaster Risk Reduction is a sub-project of the Belt and Road Initiative focused on mitigation and prevention ofnatural risks in the involved countries. In this context, this work presents a method to approach landslide susceptibility zoningon a continental scale that takes into account the limitations due to the completeness of landslide inventories and the scaleand data quality of causal factors. A first attempt to produce a pixel-based statistical susceptibility map is described. All thedata and software used in this work are open and open source. The landslide susceptibility zoning has been carried out insouth-Asia using the NASA-COOLR landslide dataset through the Weight of Evidence method and it has been evaluatedand validated by means of the ROC analysis. The results reveal a good prediction capacity and highlights that slope, relativerelief and annual precipitation are the causative factors that play a major role in predisposing slope instability in the studyarea. Based on them, the method will be applied to the rest of the Belt and Road Countries
Landslide susceptibility in the Belt and Road Countries: continental step of a multi-scale approach
Titti G
;Borgatti L;Pasuto;
2021
Abstract
The Belt and Road Initiative is a collaboration project launched by the Chinese Government to connect more than 65 countriesall over the word by developing infrastructures, facilities, and support collaborations among involved Countries. TheSilk Road Disaster Risk Reduction is a sub-project of the Belt and Road Initiative focused on mitigation and prevention ofnatural risks in the involved countries. In this context, this work presents a method to approach landslide susceptibility zoningon a continental scale that takes into account the limitations due to the completeness of landslide inventories and the scaleand data quality of causal factors. A first attempt to produce a pixel-based statistical susceptibility map is described. All thedata and software used in this work are open and open source. The landslide susceptibility zoning has been carried out insouth-Asia using the NASA-COOLR landslide dataset through the Weight of Evidence method and it has been evaluatedand validated by means of the ROC analysis. The results reveal a good prediction capacity and highlights that slope, relativerelief and annual precipitation are the causative factors that play a major role in predisposing slope instability in the studyarea. Based on them, the method will be applied to the rest of the Belt and Road CountriesFile | Dimensione | Formato | |
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Descrizione: Landslide susceptibility in the Belt and Road Countries: continental step of a multi-scale approach
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