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dc.contributor.authorRagulina, Galina
dc.contributor.authorUzielli, Marco
dc.date.accessioned2023-09-28T21:06:57Z
dc.date.available2023-09-28T21:06:57Z
dc.date.issued2019-04-23
dc.identifier.urihttps://hdl.handle.net/11250/3092887
dc.description.abstractThe aim of the present study is the quantitative estimation of snow avalanche triggering probability (ATP) for daily local forecasting purposes based on meteorological and local terrain factors. At present, ATP is indirectly assessed by snow avalanche forecasters (experts) while they conclude upon snowpack stability at the moment and upon its change during the forecasting period based on their personal judgement, knowledge and experience. In the forecasters' decision making, a considerable role is played by the recent meteorological history of the area the forecast is produced for, as well as by forecasted weather development. In this study, an approach based on fuzzy inference is adopted to estimate ATP through the quantitative parameterization of expert judgement.en_US
dc.description.sponsorshipNVE (Norges vassdrags- og energidirektorat)en_US
dc.language.isoengen_US
dc.publisherNGI - Norges Geotekniske Institutten_US
dc.relation.ispartofseriesNGI-rapport;20170131-12-TN
dc.subjectAvalanche-RnDen_US
dc.subjectSnøskred-FoUen_US
dc.titleEstimating Avalanche Triggering Probability using meteorological and local terrain parameters through a fuzzy inference approachen_US
dc.typeResearch reporten_US
dc.source.pagenumber60en_US
dc.relation.projectSP4 FoU Snøskred 2017-2019en_US


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