Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides
Abstract
:1. Introduction
2. Brief Description of the 2013 Lushan Earthquake
3. Method and Data
3.1. Logistic Regression Model
3.2. Landslide Inventory of the 2013 Lushan Earthquake
3.3. Influence Factors
4. Results and Analyses
4.1. Sampling Strategy
4.2. LR Analysis
4.3. Mapping Landslide Probability
4.4. Evaluation of Mapping Results from LR Analysis
5. Discussion
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Chi-square | df | Sig. | |
---|---|---|---|
Model 1 | 8.979 | 8 | 0.344 |
Model 2 | 5.093 | 8 | 0.748 |
Model 3 | 4.342 | 8 | 0.825 |
Model 4 | 8.05 | 8 | 0.429 |
Model (1) | Model (2) | Model (3) | Model (4) | |
---|---|---|---|---|
DEM | −0.000021 | −0.000013 | −0.000023 | 0.000043 |
Slop angle | 0.051 | 0.068 | 0.066 | 0.069 |
Aspect (1) | −11.393 | −11.562 | −11.382 | −11.570 |
Aspect (2) | 0.276 | 0.254 | 0.278 | 0.251 |
Aspect (3) | 0.440 | 0.401 | 0.442 | 0.392 |
Aspect (4) | 0.231 | 0.188 | 0.229 | 0.182 |
Aspect (5) | 0.128 | 0.086 | 0.133 | 0.090 |
Aspect (6) | 0.107 | 0.058 | 0.119 | 0.061 |
Aspect (7) | 0.168 | 0.135 | 0.174 | 0.141 |
Aspect (8) | 0.080 | 0.079 | 0.079 | 0.075 |
Aspect (9) | 0 | 0 | 0 | 0 |
TWI | −0.031 | −0.018 | −0.032 | −0.016 |
PGA | 0.074 | 0.043 | 0.076 | 0.060 |
Distance to epicenter | −0.044 | −0.101 | −0.077 | −0.094 |
Distance to rivers | −0.157 | −0.135 | −0.150 | −0.149 |
Distance to roads | 0.039 | −0.010 | 0.032 | −0.012 |
Lithology (1) | −2.477 | −3.006 | −2.632 | −3.096 |
Lithology (2) | −0.866 | −1.205 | −1.022 | −1.338 |
Lithology (3) | −1.187 | −1.422 | −1.287 | −1.472 |
Lithology (4) | −0.905 | −1.094 | −0.982 | −1.053 |
Lithology (5) | −1.001 | −1.498 | −1.116 | −1.561 |
Lithology (6) | −0.843 | −0.962 | −0.931 | −1.012 |
Lithology (7) | −1.378 | −1.698 | −1.504 | −1.776 |
Lithology (8) | −1.463 | −1.666 | −1.520 | −1.707 |
Lithology (9) | 0.110 | 0.147 | −0.004 | −0.001 |
Lithology (10) | −0.742 | −0.704 | −0.858 | −0.809 |
Lithology (11) | −1.233 | −1.337 | −1.289 | −1.388 |
Lithology (12) | 0 | 0 | 0 | 0 |
Rainfall | 0.003 | 0.006 | 0.003 | 0.005 |
Constant | −24.350 | −14.453 | −21.568 | −12.261 |
P-value Class | The Predicted Probability Area/km2 | The Observed Area Ratio of Landslides | ||||||
---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 4 | Model 1 | Model 2 | Model 3 | Model 4 | |
Very low (<0.18%) | 2418.85 | 2447.70 | 2413.31 | 2419.65 | 0.08% | 0.09% | 0.08% | 0.09% |
Low (0.18–0.77%) | 1212.37 | 1191.06 | 1221.18 | 1213.86 | 0.65% | 0.68% | 0.66% | 0.68% |
Moderate (0.77%–1.78%) | 238.54 | 237.24 | 237.03 | 242.88 | 2.12% | 2.04% | 2.13% | 2.02% |
High (1.78%–3.55%) | 47.91 | 42.99 | 47.12 | 42.63 | 3.83% | 3.86% | 3.71% | 3.65% |
Very high (3.55%–15%) | 6.26 | 4.93 | 5.28 | 4.90 | 5.96% | 6.48% | 5.73% | 5.90% |
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Shao, X.; Xu, C.; Ma, S.; Zhou, Q. Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides. ISPRS Int. J. Geo-Inf. 2019, 8, 328. https://doi.org/10.3390/ijgi8080328
Shao X, Xu C, Ma S, Zhou Q. Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides. ISPRS International Journal of Geo-Information. 2019; 8(8):328. https://doi.org/10.3390/ijgi8080328
Chicago/Turabian StyleShao, Xiaoyi, Chong Xu, Siyuan Ma, and Qing Zhou. 2019. "Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides" ISPRS International Journal of Geo-Information 8, no. 8: 328. https://doi.org/10.3390/ijgi8080328