Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China
Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China
About this item
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Author / Creator
Cao, Juan , Zhang, Zhao , Du, Jie , Zhang, Liangliang , Song, Yun and Sun, Geng
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
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Publication information
Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Jiuzhaigou, located in the transitional area between the Qinghai–Tibet Plateau and the Sichuan Basin, is highly prone to geological hazards (e.g., rock fall, landslide, and debris flow). High-performance-based hazard prediction models, therefore, are urgently required to prevent related hazards and manage potential emergencies. Current researches m...
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Full title
Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2413817630
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2413817630
Other Identifiers
ISSN
0921-030X
E-ISSN
1573-0840
DOI
10.1007/s11069-020-03927-8
