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Landslide Susceptibility Assessment in Constantine Region (NE Algeria) By Means of Statistical Models Cover

Landslide Susceptibility Assessment in Constantine Region (NE Algeria) By Means of Statistical Models

Open Access
|Dec 2018

Figures & Tables

Figure 1

Geological map of the study area.
Geological map of the study area.

Figure 2

Optical remote sensing images and air photo used for the landslides determination in the study area: a- Panchromatic satellite image. b- A landslide occurred in highway’s segment before construction (air photo). c- A neighboring road affected by a rotational landslide.
Optical remote sensing images and air photo used for the landslides determination in the study area: a- Panchromatic satellite image. b- A landslide occurred in highway’s segment before construction (air photo). c- A neighboring road affected by a rotational landslide.

Figure 3

Landslide inventory map of the study area.
Landslide inventory map of the study area.

Figure 4

Landslide conditioning factor used for landslide susceptibility mapping in the study area: a- Lithology. b- Slope angle. c- Slope aspect. d- Elevation.
Landslide conditioning factor used for landslide susceptibility mapping in the study area: a- Lithology. b- Slope angle. c- Slope aspect. d- Elevation.

Figure 5

LSMs for a: IV, b: WoE, and c: FR. d: ROC curves of the three used models.
LSMs for a: IV, b: WoE, and c: FR. d: ROC curves of the three used models.

Spatial relationship between landslide and conditioning factors in the study_

FactorClassesLandslideIVFRWoE
pixels in classes(Sif)Dif(D)% of total area (a)% of landslide area (b)FRW+W-C
LithologyFlysch8395-0.343-28.6183.545.5232.310.71-0.3570.383-0.740
Clay74500.17514.6124.0728.671.190.1841.096-0.911
Marl51880.71059.299.8119.972.030.7622.150-1.388
Colluvium49500.0756.2217.6819.051.080.0781.525-1.447
Marly00.0000.001.090.000
limestone
Limestone00.0000.001.130.000
Travertine00.0000.000.700.000
Slope gradient (°)0–5°504-3.156-315.63100.045.521.940.04-3.2020.722-3.924
5–10°76030.19519.5424.0729.261.220.2061.089-0.883
10–15°98701.354135.379.8137.993.871.5031.993-0.490
15–20°4504-0.020-1.9917.6817.330.98-0.0211.541-1.562
20–25°22072.053205.311.098.4907.792.4514.829-2.377
25–30°6780.84284.151.132.612.320.9084.527-3.619
>30°6181.219121.930.702.383.381.3425.057-3.715
Rainfall (mm)50000.0000.0074.60.510.000---
550220190.22616.8667.6084.741.250.238-1.4761.715
6003964-0.606-45.2527.9815.260.55-0.6281.086-1.715
65000.0000.003.910.000
Distance to lineaments (m)0–400174090.0707.04100.062.4467.001.070.074-0.6340.708
400–80083770.49149.0619.7432.241.630.5221.264-0.743
800–120022-4.670-466.968.890.080.01-4.7162.372-7.089
1200–160088-2.616-261.554.630.340.07-2.6593.025-5.684
1600–200088-2.085-208.522.730.340.12-2.1273.558-5.684
2000–240000.0000.001.150.000
2400–280000.0000.000.340.000
2800–320000.0000.000.080.000
3200–360000.0000.000.000.000
Distance to streams (m)0–200230410.18313.5774.273.8688.681.200.193-1.8662.058
200–4002942-0.612-45.3820.8711.320.54-0.6341.425-2.058
400–60000.0000.004.120.000-
600–80000.0000.000.980.000
800–100000.0000.000.170.000
Elevation (m)500–6001347-0.424-25.0759.27.925.190.65-0.4402.466-2.906
600–7003040-0.520-30.7819.6811.700.59-0.5401.481-2.021
700–80082490.42224.9920.8131.751.530.4481.214-0.765
800–90086070.81147.9614.7333.122.250.8731.575-0.703
900–100044530.1609.4814.6017.141.170.1691.745-1.576
1000–1100288-2.576-152.4014.551.110.08-2.6201.872-4.492
1100–120000.0000.007.710.000
NDVI-0.974–0.23161-3.216-35.1110.95.880.240.04-3.2612.785-6.047
0.231–0.148154-3.861-42.1528.130.590.02-3.9071.216-5.123
0.148–0.045508-1.110-12.115.931.960.33-1.1412.774-3.915
0.045–0.15129320.0570.6210.6611.281.060.0592.122-2.062
0.151–0.818223280.5546.0549.4085.931.740.590-1.2201.810
Stream density0–0.2208870.61633.2253.91.8580.391.850.658-0.7521.411
0.2–0.43478-0.851-45.910.4313.390.43-0.8790.988-1.867
0.4–0.6492-2.057-110.920.131.890.13-2.0991.850-3.948
0.6–0.81126-0.426-22.990.654.330.65-0.4432.651-3.094
0.8–100.0000.000.000.000
1–1.200.0000.000.000.000
Slope aspectN73060.92265.7771.311.1828.122.510.9981.937-0.939
NE2162-0.157-11.239.748.320.85-0.1652.235-2.399
E2763-0.092-6.5511.6610.640.91-0.0962.032-2.129
SE1622-0.760-54.2113.356.240.47-0.7861.924-2.709
S2380-0.408-29.0913.779.160.67-0.4241.870-2.294
SW40740.17312.3513.1915.681.190.1821.865-1.682
W2938-0.225-16.0714.1611.310.80-0.2351.825-2.060
NW2738-0.206-14.6812.9510.540.81-0.2151.924-2.139

LD in different susceptibility zones of the study area (IV, WoE, FR)__

SusceptibilityAreaLandslideareaLD
km2%km2%
IV
Very low14.8176.580.0150.210.0323
Low39.45717.520.1241.720.0981
Moderate48.60921.590.6268.650.4007
High72.91232.381.55321.460.6627
Very high49.36221.924.91767.963.0998
FR
Very low27.48112.210.0320.440.0363
Low61.11627.140.6028.330.3068
Moderate66.39829.490.73510.160.3446
High49.89622.165.37274.253.3504
Very high20.2669.000.4936.820.7577
WoE
Very low19.6698.740.0150.210.0243
Low41.12318.260.0971.330.0730
Moderate56.67625.170.3935.430.2158
High63.92728.391.97227.260.9602
Very high43.76219.444.75865.763.3834
DOI: https://doi.org/10.2478/sgem-2018-0024 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 208 - 219
Submitted on: Jun 1, 2018
Accepted on: Oct 8, 2018
Published on: Dec 21, 2018
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Nabil Manchar, Chaouki Benabbas, Riheb Hadji, Foued Bouaicha, Florina Grecu, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.