Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam
Created by W.Langdon from
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- @Article{Hoang:2018:NatHaz,
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title = "Spatial prediction of rainfall-induced shallow
landslides using gene expression programming integrated
with GIS: a case study in Vietnam",
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author = "Nhat-Duc Hoang and Dieu Tien Bui",
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publisher = "springer",
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journal = "Natural Hazards",
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year = "2018",
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volume = "92",
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pages = "1871--1887",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, shallow landslide,
rainfall-induced, geographical information system,
artificial intelligence",
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bibsource = "OAI-PMH server at oai.repec.org",
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identifier = "RePEc:spr:nathaz:v:92:y:2018:i:3:d:10.1007_s11069-018-3286-z",
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oai = "oai:RePEc:spr:nathaz:v:92:y:2018:i:3:d:10.1007_s11069-018-3286-z",
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URL = "http://link.springer.com/10.1007/s11069-018-3286-z",
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DOI = "doi:10.1007/s11069-018-3286-z",
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abstract = "Shallow landslide represents one of the most
devastating morphodynamic processes that bring about
great destruction to human life and infrastructure.
Landslide spatial prediction can significantly help
government agencies in land use and mitigation measure
planning. Nevertheless, landslide spatial modeling
remains a very challenging problem due to its inherent
complexity. This study proposes an integration of
geographical information system (GIS) and gene
expression programming (GEP) for predicting
rainfall-induced shallow landslide occurrences in Son
La Province, Vietnam. A landslide inventory map has
been constructed based on historical landslide
locations. Furthermore, a dataset which features 12
influencing factors is collected using GIS technology.
Based on the GEP algorithm and the collected dataset,
an empirical model for spatial prediction of the
shallow landslide has been established by means of
natural selection. The predictive capability of the
model has been verified by the area under the curve
calculation. Experimental results point out that the
newly proposed approach is a promising tool for shallow
landslide prediction.",
- }
Genetic Programming entries for
Nhat-Duc Hoang
Dieu Tien Bui
Citations