z-logo
open-access-imgOpen Access
Probabilistic landslide hazards and risk mapping on Penang Island, Malaysia
Author(s) -
Saro Lee,
Biswajeet Pradhan
Publication year - 2006
Publication title -
journal of earth system science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 52
eISSN - 0973-774X
pISSN - 0253-4126
DOI - 10.1007/s12040-006-0004-0
Subject(s) - landslide , hazard map , geographic information system , lineament , hazard , geology , natural hazard , remote sensing , cartography , population , drainage density , vegetation (pathology) , geomorphology , geography , geotechnical engineering , seismology , tectonics , groundwater , medicine , chemistry , oceanography , organic chemistry , pathology , demography , sociology
This paper deals with landslide hazards and risk analysis of Penang Island, Malaysia using Geographic Information System (GIS) and remote sensing data. Landslide locations in the study area were identified from interpretations of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are ten landslide inducing parameters which are considered for landslide hazard analysis. These parameters are topographic slope, aspect, curvature and distance from drainage, all derived from the topographic database; geology and distance from lineament, derived from the geologic database; landuse from Landsat satellite images; soil from the soil database; precipitation amount, derived from the rainfall database; and the vegetation index value from SPOT satellite images. Landslide susceptibility was analyzed using landslide-occurrence factors employing the probability-frequency ratio model. The results of the analysis were verified using the landslide location data and compared with the probabilistic model. The accuracy observed was 80.03%. The qualitative landslide hazard analysis was carried out using the frequency ratio model through the map overlay analysis in GIS environment. The accuracy of hazard map was 86.41%. Further, risk analysis was done by studying the landslide hazard map and damageable objects at risk. This information could be used to estimate the risk to population, property and existing infrastructure like transportation network.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom