Back to Search Start Over

Scale-invariant rainstorm hazard modelling for slopeland warning

Authors :
Diodato
Petrucci
Bellocchi
Met European Research Observatory (MetEROBS)
Research Institute for Geo-hydrological Protection
Partenaires INRAE
UR 0874 Unité de recherche sur l'Ecosystème Prairial
Institut National de la Recherche Agronomique (INRA)-Unité de recherche sur l'Ecosystème Prairial (UREP)-Ecologie des Forêts, Prairies et milieux Aquatiques (EFPA)
Institut National de la Recherche Agronomique (INRA)
Source :
Meteorological Applications, Meteorological Applications, Wiley, 2012, 19, pp.279-288. ⟨10.1002/met.259⟩, Meteorological Applications (19), 279-288. (2012), Meteorological applications, 19 (2011): 279–288. doi:10.1002/met.259, info:cnr-pdr/source/autori:Diodato, N., Petrucci, O. and Bellocchi, G./titolo:Scale-invariant rainstorm hazard modeling for slopeland warning./doi:10.1002%2Fmet.259/rivista:Meteorological applications (Print)/anno:2011/pagina_da:279/pagina_a:288/intervallo_pagine:279–288/volume:19
Publication Year :
2011
Publisher :
Wiley, 2011.

Abstract

International audience; Periods characterized by heavy rain and storms can trigger Multiple Damaging Hydrological Events (MDHE), in turn developing flooding, erosion, downpours and other phenomena affecting human habitats and ecosystems. However, approaches and applications to model MDHE and weather warning under specific environmental conditions are still poor. Based on the interpretation of the rainstorm – MDHE relationship, it was reconsidered and extended to a modelbased rainstorms hazard index (RHI) developed in a previous paper, where rainstorm-pulsing force and resistance state are combined. In this way, landscape response was achieved by individual formative rainfall events, while the specific sequence of events that can affect landscape was only assessed in a qualitative way. A retrospective evaluation of rainstorm hazard modelling, control runs, are also given for different precipitation durations (from 1 to 240 h), to be compared with MDHE at two test-sites of Southern Italy (Benevento, Campania region; Scilla, Calabria region). For these sites, the complete series of historical MDHE which occurred during a 10 year period (1997–2008) was gathered and used to validate the results of the rainfall model. The tool is relatively simple and potentially attractive to rapidly prediction of adverse consequences of rainstorms. Perspectives for real-time applications in emergency planning are ultimately given for an agenda in future research. Copyright 2011 Royal Meteorological Society

Details

ISSN :
13504827 and 14698080
Volume :
19
Database :
OpenAIRE
Journal :
Meteorological Applications
Accession number :
edsair.doi.dedup.....e5e140dca91fe55f4ef21d55c84ac31a
Full Text :
https://doi.org/10.1002/met.259