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dc.contributor.authorDiodato, Nazzareno
dc.contributor.authorborrelli, Pasquale
dc.contributor.authorPanagos, Panos
dc.contributor.authorBellocchi, Gianni
dc.contributor.authorBertolin, Chiara
dc.date.accessioned2019-12-13T07:29:01Z
dc.date.available2019-12-13T07:29:01Z
dc.date.created2019-12-12T14:04:50Z
dc.date.issued2019
dc.identifier.citationFrontiers in Environmental Science. 2019, 7 .nb_NO
dc.identifier.issn2296-665X
dc.identifier.urihttp://hdl.handle.net/11250/2633048
dc.description.abstractThe recurrence of storm aggressiveness and the associated erosivity density are detrimental hydrological features for soil conservation and planning. The present work illustrates for the first time downscaled spatial pattern probabilities of erosive density to identify damaging hydrological hazard-prone areas in Italy. The hydrological hazard was estimated from the erosivity density exceeded the threshold of 3 MJ ha−1 h −1 at 219 rain gauges in Italy during the three most erosive months of the year, from August to October. To this end, a lognormal kriging (LNPK) provided a soft description of the erosivity density in terms of exceedance probabilities at a spatial resolution of 10 km, which is a way to mitigate the uncertainties associated with the spatial classification of damaging hydrological hazards. Hazard-prone areas cover 65% of the Italian territory in the month of August, followed by September and October with 50 and 30% of the territory, respectively. The geospatial probability maps elaborated with this method achieved an improved spatial forecast, which may contribute to better land-use planning and civil protection both in Italy and potentially in Europe.nb_NO
dc.language.isoengnb_NO
dc.publisherFrontiers Medianb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCommunicating hydrological hazard-prone areas in Italy with geospatial probability mapsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber11nb_NO
dc.source.volume7nb_NO
dc.source.journalFrontiers in Environmental Sciencenb_NO
dc.identifier.doi10.3389/fenvs.2019.00193
dc.identifier.cristin1760091
dc.description.localcodeCopyright © 2019 Diodato, Borrelli, Panagos, Bellocchi and Bertolin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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