Abstract

Abstract. The 12 January 2010 Port-au-Prince, Haiti, earthquake (Mw= 7.0) triggered tens of thousands of landslides. The purpose of this study is to investigate the correlations of the occurrence of landslides and the thicknesses of their erosion with topographic, geologic, and seismic parameters. A total of 30 828 landslides triggered by the earthquake covered a total area of 15.736 km2, distributed in an area more than 3000 km2, and the volume of landslide accumulation materials is estimated to be about 29 700 000 m3. These landslides are of various types, mostly belonging to shallow disrupted landslides and rock falls, but also include coherent deep-seated landslides and rock slides. These landslides were delineated using pre- and post-earthquake high-resolution satellite images. Spatial distribution maps and contour maps of landslide number density, landslide area percentage, and landslide erosion thickness were constructed in order to analyze the spatial distribution patterns of co-seismic landslides. Statistics of size distribution and morphometric parameters of co-seismic landslides were carried out and were compared with other earthquake events in the world. Four proxies of co-seismic landslide abundance, including landslides centroid number density (LCND), landslide top number density (LTND), landslide area percentage (LAP), and landslide erosion thickness (LET) were used to correlate co-seismic landslides with various environmental parameters. These parameters include elevation, slope angle, slope aspect, slope curvature, topographic position, distance from drainages, lithology, distance from the epicenter, distance from the Enriquillo–Plantain Garden fault, distance along the fault, and peak ground acceleration (PGA). A comparison of these impact parameters on co-seismic landslides shows that slope angle is the strongest impact parameter on co-seismic landslide occurrence. Our co-seismic landslide inventory is much more detailed than other inventories in several previous publications. Therefore, we carried out comparisons of inventories of landslides triggered by the Haiti earthquake with other published results and proposed possible reasons for any differences. We suggest that the empirical functions between earthquake magnitude and co-seismic landslides need to be updated on the basis of the abundant and more complete co-seismic landslide inventories recently available.

Highlights

  • At 16:53 LT on 12 January 2010, a catastrophic earthquake with Mw = 7.0 struck the Port-au-Prince region of Haiti (Calais et al, 2010)

  • The results show the highest landslide number density (LND) and landslide area percentage (LAP) values are in grid “a” in Fig. 10, with 349 landslides km−2 and 24.4 %, respectively

  • In order to carry out statistics of co-seismic landslide spatial distributions and earthquake parameters, we selected four parameters, including distance from the epicenter, distance from the Enriquillo–Plantain Garden fault, distance along the Enriquillo–Plantain Garden fault from the epicenter, and peak ground acceleration (PGA)

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Summary

Introduction

At 16:53 LT (local time) on 12 January 2010, a catastrophic earthquake with Mw = 7.0 struck the Port-au-Prince region of Haiti (Calais et al, 2010). The earthquake caused widespread damage west of and in the capital city of Port-au-Prince, and killed more than 230 000 people (Bilham, 2010; Bellerive, 2010; Calais et al, 2010; Hough et al, 2010; Koehler and Mann, 2011). C. Xu et al.: Landslides triggered by the 12 January 2010 Port-au-Prince, Haiti, Mw = 7.0 earthquake. Earthquake events Mineral, Virginia Lorca, SE Spain Yushu, China Iwate–Miyagi Nairiku, Japan Wenchuan, China. Umbria–Marche, Italy Hyogo-ken–Nanbu, Japan Northridge, California Loma Prieta, California Ecuador Borah Peak, Idaho Murchison, New Zealand

Tectonic setting
Bedrock geology of the study area
Visual interpretation of landslides triggered by the earthquake
Landslide inventory
Landslide size and morphometric parameters
Co-seismic landslides controlling parameters analysis
Topographic parameters
Lithology
Earthquake parameters
Influence of the impact parameters on co-seismic landslides
Analysis and discussions
Findings
Conclusions
Full Text
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