Paper Info
Title
Mimic expert judgement through automated procedure for selecting rainfall events responsible for shallow landslide: A statistical approach to validation
Abstract
This paper proposes an automated method for the selection of rainfall data (duration, D, and cumulated, E), responsible for shallow landslide initiation. The method mimics an expert person identifying D and E from rainfall records through a manual procedure whose rules are applied according to her/his judgement. The comparison between the two methods is based on 300 D–E pairs drawn from temporal rainfall data series recorded in a 30 days time-lag before the landslide occurrence. Statistical tests, employed on D and E samples considered both paired and independent values to verify whether they belong to the same population, show that the automated procedure is able to replicate the expert pairs drawn by the expert judgment. Furthermore, a criterion based on cumulated distribution functions (CDFs) is proposed to select the most related D–E pairs to the expert one among the 6 drawn from the coded procedure for tracing the empirical rainfall threshold line.
Year
DOI
Venue
2016
10.1016/j.cageo.2015.10.015
Computers & Geosciences
Keywords
DocType
Volume
Rainfall thresholds,Shallow landslide,Automated procedure,Statistical tests,LANDTRAIN code
Journal
86
Issue
ISSN
Citations 
C
0098-3004
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Vessia Giovanna100.34
Pisano Luca200.34
Vennari Carmela300.34
Mauro Rossi49115.55
Parise Mario501.01