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Yaozu Qin

Biographic Data

ID7941624
NAMEYaozu Qin
GIVEN NAMESYaozu
FAMILY NAMEQin
SIGNATUREQIN Y
AFFILIATIONSEast China University of Technology
ORCID0000-0003-1998-2916
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Multisource geoscience data-driven framework for subsidence risk assessment in urban area

    Open Access•Yaozu Qin, Li Cao et al.•ARTICLE•International Journal of Disaster…•2024

  • Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China

    Open Access•Xiaoting Zhou, Weicheng Wu et al.•ARTICLE•International Journal of…•2021

    Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…

  • Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China

    Open Access•Yang Zhang, Weicheng Wu et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …

No prominent works on this page.

  • Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China

    Open Access•Yang Zhang, Weicheng Wu et al.•ARTICLE•ISPRS International Journal of…•2020

    Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …

  • Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China

    Open Access•Xiaoting Zhou, Weicheng Wu et al.•ARTICLE•International Journal of…•2021

    Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…

  • Multisource geoscience data-driven framework for subsidence risk assessment in urban area

    Open Access•Yaozu Qin, Li Cao et al.•ARTICLE•International Journal of Disaster…•2024

Geology (3 works) · Landslides and related hazards (3 works) · Cartography (2 works) · Civil engineering (2 works) · Computer Science (2 works) · Engineering (2 works) · Environmental Science (2 works) · Geography (2 works) · Geomorphology (2 works) · Hazard (2 works)

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