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Climate change and landslide risk assessment in uttaradit province, Thailand

Climate change and landslide risk assessment in uttaradit province, Thailand
Climate change and landslide risk assessment in uttaradit province, Thailand

The incidents of sudden landslides in Thailand during the past decade have occurred frequently and more severely. The rain-triggered landslide hazard analysis is the focus of this research. The combination of geotechnical and hydrological data is used to determine permeability, conductivity, bedding orientation, overburden and presence of loose blocks. The regional landslide hazard mapping is developed using the Slope Stability Index SINMAP model supported on Arc GIS software version 10.1. The geological data can indicate the shear strength and the angle of friction values for soils above given rock types, which leads to the general applicability of the approach for landslide hazard analysis. In terms of hydrological data, the millimetres/twenty-four hours of average rainfall data are used to assess the rain triggered landslide hazard analysis in slope stability mapping. The Statistical Downscaling Model (SDSM) version 4.2, is used to assess the simulation scenario of future change; the study area is Uttaradit province, northern Thailand. The landslide hazard mapping will be compared and shown by areas (km2) for both present and future conditions under climate simulation scenarios A2 and B2 in Uttaradit province. The identified risk areas largely lie in hilly and mountainous terrain; which areas can be given additional protection during land use planning in order to reduce the risk of slope failure and the associated impacts on human activities.

Etc, Geotechnical data, Hydrological data, Landslide, Permeability, SDSM, SINMAP
0125-8281
243-255
Protong, Shotiros
f558a58f-e852-4716-805b-8e491c28d19e
Carling, Paul A.
8d252dd9-3c88-4803-81cc-c2ec4c6fa687
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15
Protong, Shotiros
f558a58f-e852-4716-805b-8e491c28d19e
Carling, Paul A.
8d252dd9-3c88-4803-81cc-c2ec4c6fa687
Leyland, Julian
6b1bb9b9-f3d5-4f40-8dd3-232139510e15

Protong, Shotiros, Carling, Paul A. and Leyland, Julian (2018) Climate change and landslide risk assessment in uttaradit province, Thailand. Engineering Journal, 22 (1), 243-255. (doi:10.4186/ej.2018.22.1.243).

Record type: Article

Abstract

The incidents of sudden landslides in Thailand during the past decade have occurred frequently and more severely. The rain-triggered landslide hazard analysis is the focus of this research. The combination of geotechnical and hydrological data is used to determine permeability, conductivity, bedding orientation, overburden and presence of loose blocks. The regional landslide hazard mapping is developed using the Slope Stability Index SINMAP model supported on Arc GIS software version 10.1. The geological data can indicate the shear strength and the angle of friction values for soils above given rock types, which leads to the general applicability of the approach for landslide hazard analysis. In terms of hydrological data, the millimetres/twenty-four hours of average rainfall data are used to assess the rain triggered landslide hazard analysis in slope stability mapping. The Statistical Downscaling Model (SDSM) version 4.2, is used to assess the simulation scenario of future change; the study area is Uttaradit province, northern Thailand. The landslide hazard mapping will be compared and shown by areas (km2) for both present and future conditions under climate simulation scenarios A2 and B2 in Uttaradit province. The identified risk areas largely lie in hilly and mountainous terrain; which areas can be given additional protection during land use planning in order to reduce the risk of slope failure and the associated impacts on human activities.

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Accepted/In Press date: 28 October 2017
e-pub ahead of print date: 31 January 2018
Published date: 31 January 2018
Keywords: Etc, Geotechnical data, Hydrological data, Landslide, Permeability, SDSM, SINMAP

Identifiers

Local EPrints ID: 419073
URI: http://eprints.soton.ac.uk/id/eprint/419073
ISSN: 0125-8281
PURE UUID: f3d070c5-7d99-4dc4-a680-23983b0f467e
ORCID for Julian Leyland: ORCID iD orcid.org/0000-0002-3419-9949

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Date deposited: 28 Mar 2018 16:30
Last modified: 18 Feb 2021 17:06

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