Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine...
Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach
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Author / Creator
Zhao, Yan , Meng, Xingmin , Qi, Tianjun , Chen, Guan , Li, Yajun , Yue, Dongxia and Qing, Feng
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Debris flows are a major geological hazard in mountainous regions. For improving mitigation, it is important to study the spatial distribution and factors controlling debris flows. In the Bailong River Basin, central China, landslides and debris flows are very well developed due to the large differences in terrain, the complex geological environmen...
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Full title
Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a87fdf4d1f8d49d5a12bb569c393129f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a87fdf4d1f8d49d5a12bb569c393129f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13234813
