Literature DB >> 15952510

Geostatistical uncertainty modelling for the environmental hazard assessment during single erosive rainstorm events.

Nazzareno Diodato1.   

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.

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Year:  2005        PMID: 15952510     DOI: 10.1007/s10661-005-2815-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Accuracy and uncertainty assessment on geostatistical simulation of soil salinity in a coastal farmland using auxiliary variable.

Authors:  R J Yao; J S Yang; H B Shao
Journal:  Environ Monit Assess       Date:  2012-10-16       Impact factor: 2.513

2.  Soil erodibility mapping using the RUSLE model to prioritize erosion control in the Wadi Sahouat basin, North-West of Algeria.

Authors:  Abderrezak Kamel Toubal; Mohammed Achite; Sylvain Ouillon; Abdelatif Dehni
Journal:  Environ Monit Assess       Date:  2018-03-12       Impact factor: 2.513

3.  Global assessment of storm disaster-prone areas.

Authors:  Nazzareno Diodato; Pasquale Borrelli; Panos Panagos; Gianni Bellocchi
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

  3 in total

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