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Sökning: WFRF:(Cavalli Marco) > (2015-2019) > Flood probability q...

  • Kalantari, ZahraStockholms universitet,Institutionen för naturgeografi,Stockholm University, Department of Physical Geography and Bolin Centre for Climate Research, SE-106 91 Stockholm, Sweden (författare)

Flood probability quantification for road infrastructure : Data-driven spatial-statistical approach and case study applications

  • Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

  • Elsevier BV,2017
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:su-140910
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-140910URI
  • https://doi.org/10.1016/j.scitotenv.2016.12.147DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288331URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • QC 20210112
  • Climate-driven increase in the frequency of extreme hydrological events is expected to impose greater strain on the built environment and major transport infrastructure, such as roads and railways. This study develops a data-driven spatial-statistical approach to quantifying and mapping the probability of flooding at critical road-stream intersection locations, where water flow and sediment transport may accumulate and cause serious road damage. The approach is based on novel integration of key watershed and road characteristics, including also measures of sediment connectivity. The approach is concretely applied to and quantified for two specific study case examples in southwest Sweden, with documented road flooding effects of recorded extreme rainfall. The novel contributions of this study in combining a sediment connectivity account with that of soil type, land use, spatial precipitation-runoff variability and road drainage in catchments, and in extending the connectivity measure use for different types of catchments, improve the accuracy of model results for road flood probability.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Cavalli, MarcoResearch Institute for Geo-Hydrological Protection, National Research Council, Padova, Italy (författare)
  • Cantone, CarolinaSwedish Meteorological and Hydrological Institute (SMHI), SE-601 76 Norrköping, Sweden (författare)
  • Crema, StefanoResearch Institute for Geo-Hydrological Protection, National Research Council, Padova, Italy (författare)
  • Destouni, GeorgiaStockholms universitet,Institutionen för naturgeografi,Stockholm University, Department of Physical Geography and Bolin Centre for Climate Research, SE-106 91 Stockholm, Sweden(Swepub:su)gdest (författare)
  • Stockholms universitetInstitutionen för naturgeografi (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Science of the Total Environment: Elsevier BV581, s. 386-3980048-96971879-1026

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