Geohazard Risk Assessment Method Based on Logistic Regression Model

Si Cheng; Yun Sheng Wang; Fei Yu Chen

doi:10.4028/www.scientific.net/AMR.588-589.1934

Paper Titles

Analysis on Rock Mass Around an Underground Crude Oil Storage Caverns in Containment of Groundwater Considering Fluid Solid Coupling
p.1918

The Application of Grouting Technology for Governance of Mined-Out Area under Large Channel
p.1922

Analysis of Multi-Crack Growth in Asphalt Pavement Based on Extended Finite Element Method
p.1926

CT Image Analysis on the Meso-Damage of Construction Waste Recycled Brick
p.1930

Geohazard Risk Assessment Method Based on Logistic Regression Model
p.1934

Establishment of Index Factors in Geohazard Early Warning System
p.1938

Elastic-Plastic Static Analysis of BRBF Steel Frame Structure
p.1942

Research on the Seismic Performance of Construction Waste Recycled Brick Masonry Structure
p.1950

Application of Crosswell Seismic Technology in the Fine Reservoir Description
p.1955

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Geohazard Risk Assessment Method Based on Logistic...

Geohazard Risk Assessment Method Based on Logistic Regression Model

Abstract:

Logistic regression model refers a regress analysis contains two types of variants. In geohazard analysis, each geological factor can be defined as independent variable, whether a geohazard happened or not can be defined as a dependent variable. 1 represents an occurrence of a hazard while 0 represents a hazard doesn’t break out. Because those factors aren’t continual variable, lineal regress is inadequate to deduce the relationship of such kind of independent and dependent variable. Therefore using logistic regress method is a feasible way to solve such technique problem.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

1934-1937

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.1934

Citation:

Cite this paper

Online since:

November 2012

Authors:

Si Cheng, Yun Sheng Wang, Fei Yu Chen

Keywords:

Geohazard, Grid Layer, Logistic Regression Model, Wald Verification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Gorsevski, Gessler P, Foltz R. B: Spatial Prediction of landslide hazard using logistic regression and GIS [C]. 4th International Conference on Integrating GIS and Environmental Modeling: Problems, Prospect and Research Needs. Banff, Alberta, Canada (2000).

DOI: 10.1111/j.1467-9671.2006.01004.x

Google Scholar

[2] Cheng Q M: The perimeter-area fractal model and its application to geology [J]. Math Geology, Vol. 27(1) (1995): 69-82.

DOI: 10.1007/bf02083568

Google Scholar

[3] Li X, Yeh A G O: Modeling sustainable urban development by the integration of constrained cellular automata and GIS [J]. International Journal of Geographical Information Science, Vol. 14(2) (2000): 131-152.

DOI: 10.1080/136588100240886

Google Scholar

[4] Weiya Xu, J F Shao: Feed back Design Methology and Artificial Neural Network Theory Application in Rock Slope Engineering. Computer Method and Advances Geomechanics. Vol. 4(1998): 2569-2576. A. A. Balkema, Rotterdam.

Google Scholar

[5] Bolstad P. V, Stowe T: An evaluation of DEM accuracy elevation, slope, and aspect. Photogram metric Engineering and Remote Sensing, Vol. 60(11)(1994): 1327-1333.

Google Scholar