Study of regional monsoonal effects on landslide hazard zonation in Cameron Highlands, Malaysia
In general, landslides in Malaysia mostly occurred during northeast and southwest periods, two monsoonal systems that bring heavy rain. As the consequence, most landslide occurrences were induced by rainfall. This paper reports the effect of monsoonal-related geospatial data in landslide hazard...
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my.utp.eprints.56882017-03-20T03:18:23Z Study of regional monsoonal effects on landslide hazard zonation in Cameron Highlands, Malaysia Matori, A.N Basith, A. Harahap, I.S.H. T Technology (General) GE Environmental Sciences TA Engineering (General). Civil engineering (General) In general, landslides in Malaysia mostly occurred during northeast and southwest periods, two monsoonal systems that bring heavy rain. As the consequence, most landslide occurrences were induced by rainfall. This paper reports the effect of monsoonal-related geospatial data in landslide hazard modeling in Cameron Highlands, Malaysia, using Geographic Information System (GIS). Land surface temperature (LST) data was selected as the monsoonal rainfall footprints on the land surface. Four LST maps were derived from Landsat 7 thermal band acquired at peaks of dry and rainy seasons in 2001. The landslide factors chosen from topography map were slope, slope aspect, curvature, elevation, land use, proximity to road, and river/lake; while from geology map were lithology and proximity to lineament. Landslide characteristics were extracted by crossing between the landslide sites of Cameron Highlands and landslide factors. Using which, the weighting system was derived. Each landslide factors were divided into five subcategories. The highest weight values were assigned to those having the highest number of landslide occurrences. Weighted overlay was used as GIS operator to generate landslide hazard maps. GIS analysis was performed in two modes: (1) static mode, using all factors except LST data; (2) dynamic mode, using all factors including multi-temporal LST data. The effect of addition of LST maps was evaluated. The final landslide hazard maps were divided into five categories: very high risk, high risk, moderate, low risk, and very low risk. From verification process using landslide map, the landslide model can predict back about 13–16% very high risk sites and 70–93% of very high risk and high risk combined together. It was observed however that inclusion of LST maps does not necessarily increase the accuracy of the landslide model to predict landslide sites. 2011-02-21 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/5688/1/ArabJGeo-published.pdf http://www.springerlink.com/content/e174p67536759487/ Matori, A.N and Basith, A. and Harahap, I.S.H. (2011) Study of regional monsoonal effects on landslide hazard zonation in Cameron Highlands, Malaysia. [Citation Index Journal] http://eprints.utp.edu.my/5688/ |
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T Technology (General) GE Environmental Sciences TA Engineering (General). Civil engineering (General) Matori, A.N Basith, A. Harahap, I.S.H. Study of regional monsoonal effects on landslide hazard zonation in Cameron Highlands, Malaysia |
description |
In general, landslides in Malaysia mostly occurred
during northeast and southwest periods, two monsoonal
systems that bring heavy rain. As the consequence,
most landslide occurrences were induced by rainfall. This
paper reports the effect of monsoonal-related geospatial
data in landslide hazard modeling in Cameron Highlands,
Malaysia, using Geographic Information System (GIS).
Land surface temperature (LST) data was selected as the
monsoonal rainfall footprints on the land surface. Four LST
maps were derived from Landsat 7 thermal band acquired at
peaks of dry and rainy seasons in 2001. The landslide
factors chosen from topography map were slope, slope
aspect, curvature, elevation, land use, proximity to road,
and river/lake; while from geology map were lithology and
proximity to lineament. Landslide characteristics were
extracted by crossing between the landslide sites of
Cameron Highlands and landslide factors. Using which,
the weighting system was derived. Each landslide factors
were divided into five subcategories. The highest weight
values were assigned to those having the highest number of
landslide occurrences. Weighted overlay was used as GIS
operator to generate landslide hazard maps. GIS analysis
was performed in two modes: (1) static mode, using all
factors except LST data; (2) dynamic mode, using all
factors including multi-temporal LST data. The effect of
addition of LST maps was evaluated. The final landslide
hazard maps were divided into five categories: very high
risk, high risk, moderate, low risk, and very low risk. From
verification process using landslide map, the landslide
model can predict back about 13–16% very high risk sites
and 70–93% of very high risk and high risk combined
together. It was observed however that inclusion of LST
maps does not necessarily increase the accuracy of the
landslide model to predict landslide sites. |
format |
Citation Index Journal |
author |
Matori, A.N Basith, A. Harahap, I.S.H. |
author_facet |
Matori, A.N Basith, A. Harahap, I.S.H. |
author_sort |
Matori, A.N |
title |
Study of regional monsoonal effects on landslide hazard
zonation in Cameron Highlands, Malaysia |
title_short |
Study of regional monsoonal effects on landslide hazard
zonation in Cameron Highlands, Malaysia |
title_full |
Study of regional monsoonal effects on landslide hazard
zonation in Cameron Highlands, Malaysia |
title_fullStr |
Study of regional monsoonal effects on landslide hazard
zonation in Cameron Highlands, Malaysia |
title_full_unstemmed |
Study of regional monsoonal effects on landslide hazard
zonation in Cameron Highlands, Malaysia |
title_sort |
study of regional monsoonal effects on landslide hazard
zonation in cameron highlands, malaysia |
publishDate |
2011 |
url |
http://eprints.utp.edu.my/5688/1/ArabJGeo-published.pdf http://www.springerlink.com/content/e174p67536759487/ http://eprints.utp.edu.my/5688/ |
_version_ |
1738655422378672128 |
score |
13.211869 |