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Evaluation of Different Models in Rainfall-triggered Landslide Susceptibility Mapping: A Case Study in Chunan, Southeast China

Abstract:

This study applied the information value model (IVM), logistic regression (LR), artificial neural networks (ANN) and support vector machine (SVM) to rainfall-triggered landslide susceptibility mapping for a typical study area in southeast China. Their capabilities under 42 modelling scenarios with different combination of 9 conditioning factors were tested and compared using the performance metric of area under receiver operating characteristic curve (AUC). The results showed that all the mod...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1007/s12665-016-6211-3

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Department:
Oxford, SSD, SOGE, Environmental Change Institute
Role:
Author
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Grant:
Public welfare technology application research project (No.2016C33045)
Publisher:
Springer Verlag Publisher's website
Journal:
Environmental Earth Sciences Journal website
Volume:
75
Issue:
21
Chapter number:
1399
Publication date:
2016-10-26
Acceptance date:
2016-10-13
DOI:
EISSN:
1866-6299
ISSN:
1866-6280
Pubs id:
pubs:655298
URN:
uri:c63767d0-ac27-4ecf-932a-a00cc4ffd7c2
UUID:
uuid:c63767d0-ac27-4ecf-932a-a00cc4ffd7c2
Local pid:
pubs:655298
Paper number:
21

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