Vol. 4(1) January 2011
A Probabilistic Method to assess the Regional Susceptibility
of Landslides induced by Earthquake in Kitakyushu City, Japan
Junjie Sun1*, Lanmin Wang2 and Guangqi Chen3
Here a probabilistic method for assessing the regional
susceptibility of landslides induced by earthquake events was developed. This probabilistic
method, furthermore, was applied into the Kitakyushu city of Japan, which suffered
the landslide disasters induced both by rainfall and earthquake seriously. Failure
probability of earthquake-induced landslides based on Monte Carlo simulation (minimizing
the uncertainty of slope parameters) and a developed method after New mark stability
analysis (estimating factors of safety) was calculated. Meanwhile, regional susceptibility
maps of earthquake-induced landslides in Kitakyushu city were produced by using
the geographical information system (GIS) with different peak ground accelerations
(PGAs) and seismic occurrence periods at both conditions of m=0 and m=1 (m, so-called
water factor which means a ratio of groundwater level to thickness of sliding layer).
Analysis results of failure probability disclose that the influence factors of slope
angle, PGA and m on failure probability (stability) of earthquake-induced landslides
would have to be considered carefully in the Kitakyushu city. The PGA exerts distinctly
different influence on the stability of landslides varying with soil type and m.
According to a new geology map of Kitakyushu city, the maximum average value of
slope angles is less than 50 degree. A softer slope tends to suffer a greater increment
of failure probability impacted by the PGA in the case of a lower angle than a higher
one, within the range of slope angles, 0~50 degree. This becomes more visible while
the PGA increases. On the susceptibility maps, it is evident that the districts
of Kokura Minami, Moji, Kokura Kita, Yahata Higashi and Yahata Nishi in Kitakyushu
city would suffer the disaster of landslide severely. In the lower cases of PGA,
the Southwest of Kokura Minami, the borders between Moji and Kokura Kita and the
borders between Yahata Higashi and Yahata Nishi are the major areas impacted by
extremely serious hazard of earthquake-induced landslides. As PGA, seismic occurrence
period or/and m increases, critical disaster of landslide has an extensive area,
covering Wakamatsu. Nevertheless, Tobata, the only one of fortunate district throughout
Kitakyushu city, is in safety all the time.
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The Relationship between Earthquake Knowledge and
Earthquake Attitudes of Disaster Relief Staffs
Öcal Adem
This study examined the levels of earthquake knowledge
and attitudes toward earthquakes of disaster relief staff with respect to various
variables. The study was conducted on 112 participants attending the in-service
Disaster Education course conducted in December 2008 organized by Burdur Province
Civil Defence Directorate. To reach the aim of the study, an earthquake knowledge
scale and earthquake attitudes scale were administered to the participants. The
participants’ knowledge levels and their attitudes towards earthquakes were analyzed
using the SPSS package program. Pearson Product- Moment correlation calculation
was performed to determine the relationship between earthquake knowledge and earthquake
attitudes among disaster relief staff which has shown that as participants’ knowledge
on earthquake increased, their attitude scores also increased at a significant level.
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Environmental Factor Assessment on Fire Behaviour
Characteristics for Surface Forest Layers
Boboulos Miltiadis A.
The methodology, measurements and processing from fire
behaviour experiments for the ignition and spreading in Pinus halepensis and Pinus
pinaster forest litter are presented in this study. The experiments were carried
out in laboratory conditions using a specifically designed set up. The basic independent
variables in the course of the experiments were the slope angle of the work plane,
the airflow velocity and the fuel moisture content. To provide a quantitative assessment
for the effects of parameters on the fire spread and the flame angle during the
experiments, statistical processing based on the regression analysis has been carried
out. The developed model equations described the terrain slope and wind velocity
as determining factors for the examined characteristics. The information acquired
in these experiments assist in establishing quantitative relationships between important
fire behaviour descriptors and its environment for the formulation of a model predicting
fire spreading into surface fuel beds.
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Application of Space Information Technology on Back-Analysis
for Geological Parameters of Engineering Environment
Wang Iau-Teh1* and Lee Chin-Yu2
Geological mechanical parameters are key factors in engineering
safety management and disaster prevention in the planning and design phase. This
paper develops a back-analysis technique using the infinite slopes stability stratum
parameter assessment technique under the GIS and RS platform. The landslide events
were calculated based on the infinite slope stability theory consisting of factors
including the slope, unit weight, cohesion and angle of friction of the stratum
for each regional unit. Using methods developed in this study, the generated scatter
charts showed the stratum mechanical parameters for civil works compared to the
site located in the southeast area of Hualien, Taiwan. According to the case study
and parameter analyses results, the parameter value accuracy approaches to 80.3%.
The study also demonstrated that the cohesion and angle of friction of stratum materials
have important roles in controlling the safety factor. The results indicate that
the back-analysis GIS and RS method provides practical engineering information for
the design of potential geologic hazards evaluation. The proposed technique provides
a rapid estimation for the safety factors which is quite useful for engineering
requirements.
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Response to Swelling and Permeability of Bentonite
using Saline Solution for Nuclear Waste Disposal
Shirazi S.M.,1* Kuwano J.,2 Kazama H.,2 Wiwat S.1 and Ismail Z.2
In order to investigate the effect of salinity on the
basic swelling behavior of compacted bentonite, series of one dimensional swelling
deformation test have been performed. The tests were conducted with the various
initial dry densities (1.33 ~ 1.90 g/cm3) of compacted bentonite saturated with
different concentration of NaCl solution varying from 0.5 ~ 4.0 mol/l. It was found
that the higher initial dry ensity specimens show higher maximum swelling rate and
the maximum swelling rate of bentonite decreased with increasing concentration of
NaCl. The permeability of bentonite rapidly increases with increasing concentration
of NaCl. NaCl within montmorillonite clay mineral decreases the thickness of double-layer
swelling. The bentonite may change from highly swelled material to coagulate in
saline water.
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Land Use Change in Fast Developing Regions: A Case
Study of Chongqing Municipality in Southwestern China
Liu Li*1,2, Huang Fang3 and Gao Shuohan4
This study takes into account Chongqing Municipality
of China as a typical case and explores the main characteristics of the land use
change in a fast developing and urbanization region. Study also demonstrates the
magnitude of land use change caused by the land use policy and economic development
strategy. The purpose is to improve the understanding of their land use change so
that sustainable land utilization could be practiced. Based on the Landsat TM data
of 1980, 1995 and 2005, the spatial-temporal characteristics of land use changes
within the periods 1980-1995 and 1995-2005 in the study area were quantified using
remote sensing and GIS. The method of the dynamism index was used to measure the
annual change rate of land use. Results show that land use type in 1980 was mainly
dominated by73% of cropland and 20% of forestland; the built up area occupied 4%
of the study area; the land use type in 1995 had almost the same character, but
in 2005, it was mainly dominated by 49% of cropland and 38% of forestland (37%);
the built up area increased to 10% of the study area. There was no big change on
land use during the period from 1980 to 1995, however during the period from 1995
to 2005, there was big change on land use by substantial growth of built-up areas
and increase of forestland area resulting in significant decrease in the area of
cropland and unutilized land. The annual change rate of overall land use during
the period from 1995 to 2005 is 3.5% which is larger than that of Shanghai (2.1%)
during the same period. The case study shows the tremendous land use changes during
the period of fast developing and urbanization which were mainly caused by national
policy and strategy.
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Nonlinear Hydrologic Modeling Using the Stochastic
and Neural Networks Approach
Sungwon Kim
The goal of this research is to develop and apply the
integrational operation method (IOM) for modeling the relationship of the pan evaporation
(PE) and the alfalfa reference evapotranspiration (ETr). Since the observed data
of the alfalfa ETr using lysimeter have not been measured for a long time, the Penman-Monteith
(PM) method is used to estimate the observed alfalfa ETr. The IOM consists of the
combination/application of the stochastic and neural networks models respectively.
The stochastic model of Periodic Auto Regressive Moving Average (PARMA) is applied
to generate the training dataset for the monthly PE and the alfalfa ETr and the
neural networks models are applied to calculate the observed test dataset reasonably.
Among the six training patterns, 1,000/PARMA(1,1) /GRNNM-GA training pattern is
used which can evaluate the suggested climatic variables very well and construct
the reliable data for the monthly PE and the alfalfa ETr. Uncertainty analysis is
also used to eliminate the climatic variables of input nodes from the 1,000/PARMA(1,1)/GRNNM-GA
training pattern. The sensitive and insensitive climatic variables are chosen from
the uncertainty analysis of the input nodes.
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