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Flood probability quantification for road infrastructure: Data-driven spatial-statistical approach and case study applications
ORCID iD: 0000-0001-5937-454X
SMHI, Professional Services.ORCID iD: 0000-0002-7797-4060
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2017 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 581, p. 386-398Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2017. Vol. 581, p. 386-398
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Oceanography, Hydrology and Water Resources
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Hydrology
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URN: urn:nbn:se:smhi:diva-4046DOI: 10.1016/j.scitotenv.2016.12.147ISI: 000394635300037PubMedID: 28062101OAI: oai:DiVA.org:smhi-4046DiVA, id: diva2:1088307
Available from: 2017-04-12 Created: 2017-04-12 Last updated: 2018-01-13Bibliographically approved

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Cavalli, MarcoCantone, Carolina

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