A Regional assessment on the influence of climate change on summer rainfall : an application to shallow landsliding in Wanzhou County, China

This study looks into the future of evolving triggering rainfall conditions in a changing climate, and aims to establish a link to tools in the present to assess shallow landslide susceptibility. Focus is given to the triggering rainfall conditions represented by extreme daily rainfall and mean seas...

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Detalhes bibliográficos
Autor: Ferrer, Joaquin Vicente Consunji|||0000-0002-8020-0285
Formato: tesis de maestría
Fecha de publicación:2021
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/360706
Acesso em linha:https://hdl.handle.net/2117/360706
Access Level:acceso abierto
Palavra-chave:Landslides
Climatic changes
Rain and rainfall
Shallow landslides
Climate Change
Extreme Events
Rainfall
Bias Correction
China
Hydrology
Esllavissades
Canvis climàtics
Pluja
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Riscos geològics
Descrição
Resumo:This study looks into the future of evolving triggering rainfall conditions in a changing climate, and aims to establish a link to tools in the present to assess shallow landslide susceptibility. Focus is given to the triggering rainfall conditions represented by extreme daily rainfall and mean seasonal rainfall. The study site selected in this research was Wanzhou County, China. This county lies in a region of China that receives 90% of its annual rainfall during the summer months. The effect of which is observed with 80% of shallow landslides occurring between June to August from 1995-2005. This research project delivered proof-of-concept for a methodological framework to derive shallow landslide triggering rainfall scenarios from climate model outputs. The presentation of the results and the identification of sources of uncertainties in this study demonstrated a viable link between for climate change projections to provide future rainfall scenarios as inputs for physically-based shallow landslide susceptibility models.