Empirical rainfall thresholds for the triggering of landslides in Asturias (NW Spain)

Landslides are one of the most serious geomorphological hazards in Asturias (NW Spain), where their temporal forecasting constitutes a key issue. The present work uses 559 records from the Principality of Asturias Landslide Database (BAPA) and daily precipitation data series from six rain gauges, ga...

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Detalhes bibliográficos
Autor principal: Valenzuela, Pablo (author)
Outros Autores: Zêzere, José (author), Domínguez-Cuesta, María José (author), Mora García, Manuel Antonio (author)
Formato: article
Idioma:eng
Publicado em: 2020
Assuntos:
Texto completo:http://hdl.handle.net/10451/42748
País:Portugal
Oai:oai:repositorio.ul.pt:10451/42748
Descrição
Resumo:Landslides are one of the most serious geomorphological hazards in Asturias (NW Spain), where their temporal forecasting constitutes a key issue. The present work uses 559 records from the Principality of Asturias Landslide Database (BAPA) and daily precipitation data series from six rain gauges, gathered during a period of 8 hydrological years (2008–2016), to calculate empirical antecedent rainfall thresholds for the triggering of landslides. The methodology includes (i) the selection of a representative input dataset and (ii) the assessment of the performance of the thresholds through contingency tables and skill scores. On this basis, six local rainfall thresholds for different areas within Asturias have been calculated and compared, allowing progress towards a better understanding of the rainfall-landslides relationship in the NW of Spain. The analysis has highlighted the strong influence of (i) the climatic variability between areas and (ii) the different seasonal precipitation patterns on the landslidetriggering conditions. The antecedent rainfall plays a key role during the wet period while the intensity of the rainfall event is the most relevant factor during the dry period. These observations must be considered to successfully address the temporal forecasting of landslides.