title: Geostatistical uncertainty modelling for the environmental hazard assessment during single erosive rainstorm events.
abstract: This paper presents an environmental hazard assessment to account the impacts of single rainstorm variability on river-torrential landscape identified as potentially vulnerable mainly to erosional soil degradation processes. An algorithm for the characterisation of this impact, called Erosive Hazard Index (EHI), is developed with a less expensive methodology. In EHI modelling, we assume that the river-torrential system has adapted to the natural hydrological regime, and a sudden fluctuation in this regime, especially those exceeding thresholds for an acceptable range of flexibility, may have disastrous consequences for the mountain environment. The hazard analysis links key rainstorm energy variables expressed as a single-storm erosion index (EISTO), with impact thresholds identified using an intensity pattern model. Afterwards, the conditional probabilities of exceeding these thresholds are spatially assessed using non-parametric geostatistical techinques, known as indicator kriging. The approach was applied to a test site in river-torrential landscape of the Southern Italy (Benevento province) for 13 November 1997 rainstorm event.
authors.affiliation: Research Observatory on Climate and Landscape-ROC&L, Contrada Monte Pino, 82100 Benevento, Italy. nazdiod@tin.it
authors.forename: Nazzareno
authors.initials: N
authors.lastname: Diodato
mesh_terms: D004777:Environment; D040362:Geographic Information Systems; D005843:Geography; D015233:Models, Statistical; D011891:Rain; D045483:Rivers; D012987:Soil; D035501:Uncertainty
chemical_list: D012987:Soil