Over the last 40 years, many contributions have identified empirical rainfall thresholds (e.g. rainfall intensity (I) vs. rainfall duration (D), cumulated rainfall vs. rainfall duration (ED), cumulated rainfall vs. rainfall intensity (EI)) for the possible initiation of shallow landslides, based on local and global inventories. Although different methods to trace the threshold curves have been proposed and discussed in literature, a systematic study to develop an automated procedure to select the rainfall event responsible for the landslide occurrence has only rarely been addressed. Objective criteria for estimating the rainfall responsible for the landslide occurrence play a prominent role on the threshold values. In this paper, two criteria for the identification of the effective rainfall events are presented. The first criterion is based on the analysis of the time series of rainfall mean intensity values over 1 month preceding the landslide occurrence. The second criterion is based on the analysis of the trend in the time function of the cumulated mean intensity series calculated from the rainfall records measured through rain gauges. The two criteria have been implemented in an automated procedure that is written in the R language. A sample of 100 shallow landslides collected in Italy from 2002 to 2012 was used to calibrate the procedure. The cumulated event rainfall (E) and duration (D) of rainfall events that triggered the documented landslides are calculated through the new procedure and are fitted with power law in the D, E diagram. The results are discussed by comparing the D, E pairs calculated by the automated procedure and the ones by the expert method.
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页码:2399 / 2408
页数:10
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Gariano SL., 2012, REND ONLINE SOC GEOL, V21, P396
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Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Columbia Univ, Dept Earth & Environm Sci, Palisades, NY USA
NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Kirschbaum, D. B.
Adler, R.
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NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA
Univ Maryland, ESSIC, College Pk, MD 20742 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Adler, R.
Hong, Y.
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Univ Oklahoma, Sch Civil Engn & Environm Sci, Natl Weather Ctr, Norman, OK 73019 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Hong, Y.
Lerner-Lam, A.
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Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Columbia Univ, Dept Earth & Environm Sci, Palisades, NY USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
机构:
Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Columbia Univ, Dept Earth & Environm Sci, Palisades, NY USA
NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Kirschbaum, D. B.
Adler, R.
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机构:
NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA
Univ Maryland, ESSIC, College Pk, MD 20742 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Adler, R.
Hong, Y.
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h-index: 0
机构:
Univ Oklahoma, Sch Civil Engn & Environm Sci, Natl Weather Ctr, Norman, OK 73019 USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Hong, Y.
Lerner-Lam, A.
论文数: 0引用数: 0
h-index: 0
机构:
Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
Columbia Univ, Dept Earth & Environm Sci, Palisades, NY USAColumbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA