Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Basic Data Collection
2.3. Rainfall Distribution Estimation
2.4. Rainfall-Runoff Model
2.5. Logistic Regression Analysis
2.6. Landslide Inventories
2.7. Factors of Landslide Susceptibility Model
3. Results
3.1. Rainfall-Runoff Analysis
3.2. Landslide Susceptibility Analysis
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Rainfall Station | Typhoon Talim | Typhoon Jangmi | ||||
---|---|---|---|---|---|---|
Rainfall Duration: 30 h | Rainfall Duration: 42 h | |||||
Rainfall Depth (mm) | Maximum Rainfall Intensity (mm/h) | Averaged Rainfall Intensity (mm/h) | Rainfall Depth (mm) | Maximum Rainfall Intensity (mm/h) | Averaged Rainfall Intensity (mm/h) | |
Shenmu Village | 444.5 | 43.5 | 14.8 | 584.0 | 46.5 | 13.9 |
Fenqihu | 730.0 | 71.5 | 24.3 | 919.5 | 75.0 | 21.9 |
Rueili | 500.0 | 48.0 | 16.7 | 591.0 | 38.0 | 14.1 |
Fengshan | 491.0 | 68.0 | 16.4 | 733.5 | 66.0 | 17.5 |
Shuishan | 285.0 | 33.0 | 9.5 | 605.0 | 47.0 | 14.4 |
Leye | 588.0 | 80.0 | 19.6 | 636.0 | 56.0 | 15.1 |
Landslide Ratio (%) | Typhoon Talim | Typhoon Jangmi | ||||||
---|---|---|---|---|---|---|---|---|
Overall Accuracy (%) | Mean | Standard Deviation | Slope Units for Landslide Group | Estimation Accuracy (%) | Mean | Standard Deviation | Slope Units for Landslide Group | |
1 | 69.5~75.1 | 71.5 | 1.6 | 211 | 74.4~82.5 | 78.4 | 1.8 | 160 |
5 | 70.1~79.3 | 74.1 | 2.0 | 167 | 77.6~85.8 | 81.7 | 1.6 | 123 |
10 | 69.8~79.4 | 74.7 | 2.1 | 131 | 73.8~87.6 | 81.5 | 2.4 | 101 |
20 | 68.9~81.1 | 73.8 | 2.7 | 106 | 79.7~88.5 | 83.8 | 2.1 | 74 |
30 | 68.1~81.9 | 75.3 | 2.7 | 80 | 78.4~90.2 | 85.6 | 2.6 | 51 |
40 | 67.2~82.1 | 74.0 | 4.0 | 67 | 76.3~91.3 | 84.6 | 3.4 | 40 |
50 | 69.4~88.9 | 78.5 | 4.1 | 54 | 75.0~96.2 | 86.1 | 5.0 | 26 |
Event | Simulations | Total Rainfall Volume (m3) | Runoff Error | |
---|---|---|---|---|
Total Outlet Discharge (m3) | Depression Storage (m3) | |||
Typhoon Talim | 34,944,289.2 | 1,011,033.8 | 36,376,655.0 | 1.16% |
Typhoon Jangmi | 48,230,661.6 | 556,015.3 | 49,276,512.2 | 0.99% |
Factor | Coefficient | Event | |||
---|---|---|---|---|---|
Typhoon Talim | Typhoon Jangmi | ||||
Aspect | North | 16.89~17.21 | 14.53~19.88 | ||
Northeast | 17.75~18.15 | 14.62~19.47 | |||
East | 18.19~18.46 | 16.09~20.51 | |||
Southeast | 18.44~19.00 | 15.85~19.93 | |||
South | 19.03~19.17 | 16.21~20.04 | |||
Southwest | 17.85~18.19 | 14.83~18.47 | |||
West | 18.34~18.57 | 15.09~18.62 | |||
Northwest | 17.98~18.31 | 13.95~16.18 | |||
Slope | 1.71~1.83 | 2.54~3.16 | |||
Runoff depth | 0.80~1.47 | 1.77~2.70 | |||
Constant | C | – | −18.82~−18.67 | −20.39~−16.71 |
Assessments | Event | ||
---|---|---|---|
Typhoon Talim | Typhoon Jangmi | ||
CEM (%) | For nonlandslide group | 79.2~81.1 | 83.8~90.5 |
For landslide group | 80.2~83.0 | 85.1~87.8 | |
Overall accuracy | 79.7~82.1 | 85.1~89.2 | |
AUCs | 0.771~0.795 | 0.838~0.876 |
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Chan, H.-C.; Chen, P.-A.; Lee, J.-T. Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression. Water 2018, 10, 1354. https://doi.org/10.3390/w10101354
Chan H-C, Chen P-A, Lee J-T. Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression. Water. 2018; 10(10):1354. https://doi.org/10.3390/w10101354
Chicago/Turabian StyleChan, Hsun-Chuan, Po-An Chen, and Jung-Tai Lee. 2018. "Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression" Water 10, no. 10: 1354. https://doi.org/10.3390/w10101354