• Proceedings of the KSRS Conference
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• v.1
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• pp.455-458
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• 2006

Stretching on the coastline of 70 km, the Tam Giang - Cau Hai Lagoon plays a very important role for the coastal ecology and socio-economic development of Hue region where was Vietnam's Ancient Kingdom Capital and recognized as a World's Cultural Heritage. Recently, coastal hazard in the lagoon have occurred seriously such as inlet movement and fill up, coastal erosion, flood and inundation, etc. These hazards have impacted on lagoon environment, resources, ecosystems, socio-economic and sustainable development of this coastal area. This paper present a case study using remote sensing data in combination with ground survey for monitoring the coastal hazards in Tam Giang - Cau Hai lagoon in recent decades. Analysis results find that during its natural evolution, the lagoon has been being in three situations of only one, two and three inlets. When inlets opened or displaced, coastal erosion have occurred seriously toward new balance condition. Flood and inundation occurs every rainy season in lowland plain around lagoon. The historical flood happened in early of November 1999 with six days long, created very terrible damages for Thua Thien Hue province. Remote sensing data with capability of regular update, large area coverage is effective provide real-time and continuous information for coastal hazards monitoring.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1533-1537
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• 2012

In general, breast cancer is the most common malignancy among women in developed as well as some developing countries, often being the second leading cause of cancer mortality after lung cancer. Using a parametric log-logistic model to consider the effects of prognostic factors, the present study focused on the 5-year survival of women with the diagnosis of breast cancer in Southern Iran. A total of 1,148 women who were diagnosed with primary invasive breast cancer from January 2001 to January 2005 were included and divided into three prognosis groups: poor, medium, and good. The survival times as well as the hazard rates of the three different groups were compared. The log-logistic model was employed as the best parametric model which could explain survival times. The hazard rates of the poor and the medium prognosis groups were respectively 13 and 3 times greater than in the good prognosis group. Also, the difference between the overall survival rates of the poor and the medium prognosis groups was highly significant in comparison to the good prognosis group. Use of the parametric log-logistic model - also a proportional odds model - allowed assessment of the natural process of the disease based on hazard and identification of trends.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.1 s.35
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• pp.85-91
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• 2006

Recently, slope failures are happen to natural disastrous when they occur in mountainous areas adjoining highways in Korea. The accidents associated with slope failures have increased due to rapid urbanization of mountainous areas. Therefore, Regular maintenance is essential for all slope and needs maintenance of road safety as well as road function. In this study, we take priority of making a database of risk factor of the failure of a slope before assesment and analysis. The purpose of this paper is to recommend a standard of Slope Management Information Sheet(SMIS) like as Hazard Map. The next research, we suggest to pre-estimated model of a road slope using Logistic Regression Model.

• Structural Engineering and Mechanics
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• v.33 no.6
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• pp.725-745
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• 2009

In this paper, probabilistic seismic performance assessment of a typical non-seismic RC frame building representative of a large inventory of existing buildings in developing countries is conducted. Nonlinear time-history analyses of the sample building are performed with 20 large-magnitude medium distance ground motions scaled to different levels of intensity represented by peak ground acceleration and 5% damped elastic spectral acceleration at the first mode period of the building. The hysteretic model used in the analyses accommodates stiffness degradation, ductility-based strength decay, hysteretic energy-based strength decay and pinching due to gap opening and closing. The maximum inter story drift ratios obtained from the time-history analyses are plotted against the ground motion intensities. A method is defined for obtaining the yielding and collapse capacity of the analyzed structure using these curves. The fragility curves for yielding and collapse damage levels are developed by statistically interpreting the results of the time-history analyses. Hazard-survival curves are generated by changing the horizontal axis of the fragility curves from ground motion intensities to their annual probability of exceedance using the log-log linear ground motion hazard model. The results express at a glance the probabilities of yielding and collapse against various levels of ground motion intensities.

• Journal of the Korean Society of Safety
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• v.24 no.4
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• pp.66-73
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• 2009

Since the school buildings are generally used as public shelters when the natural disasters such as flood and earthquake occur, it must be designed to show enough structural performance when subject to earthquake. Major failure mode of the school buildings observed in past earthquakes were shear failure of column of which length is shortened by infilled masonry blocks. In this study, the seismic risk of the reinforced concrete school building structure was evaluated by using the seismic performance evaluation methods of low-story RC structures developed in Japan and the required seismic performance index which is obtained according to the KBC2008 seismic hazard map and soil types. In this paper, the seismic performance of the school building is evaluated by considering this short-column effects, building shape and deterioration.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.367-370
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• 2007

Recently, With explosive national land developments construction fields ate increasing, and slope failures are disastrous when they occur in mountainous area adjoining highways. but public institutions and supervisors, to manage slope need GIS for managing it more quickly and correctly. For manage slope, it is nesessary to use new IT, especially wireless internet. The current domestic population using cell phones exceeded 30 million and the domestic wireless Internet environment has matured, but implementation of mobile technology for government services isnot matured enough. In this paper the author proposed a new system of mobile PPT monitoring for managing slope inspection for Ubiquitous Environment. This new system manages data in real time and reduces human power when applied to current working environments. This research was supported by a grant(NEMA-06-NH-05) from the Natural Hazard Mitigation Research Group, National Emergency Management Agency.

• Journal of Environmental Health Sciences
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• v.35 no.5
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• pp.426-432
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• 2009

Asbestos is a commercial term of natural occurring silicated minerals and forms long, thin fibers. Chrysotile, the serpentine asbestos, accounts for most use in commercial use. Asbestos is well known health hazard material and it is proved that inhalation of asbestos fibers leads to increased risk of developing several diseases such as lung cancer, mesothelioma, asbestosis. In these days, people most at risk for exposure are maintenance and construction workers and general citizens who are working on and close to the work area at which asbestos containing material is disturbing. Non asbestiform, though its chemical composition is same with regulated asbestos, is known to be less hazardous than asbestiform. Exposure guideline, 0.01 f/ml, is not safe level in terms of health risk. It is reasonable to take preventable action when asbestos is suspicious. In Korea, it is necessary to clarify the concept between hazard and risk, to differentiate asbestiform from non asbestiform, to make regulations for compensation for asbestos related patients, to manage future exposure for general citizens.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.202-202
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• 2011

상습침수지역 산사태위험지역 등 지형적인 여건 등으로 인해 재해가 발생할 우려가 있는 지역을 관리하기 위하여 "자연재해대책법"에 의해 지정되는 지구를 자연재해위험지구라 하며 특히 집중호우에 의한 도심지 주변 상습침수지역에 대한 체계적인 연구와 해석방법이 요구되는 실정이다. 이에 본 연구에서는 강원도 삼척시의 상습침수지역인 오십천 주변 자원동일대를 대상으로 수문학적 인자인 강우자료와 지형자료를 조사하고 도시유역 유출해석모형인 XP-SWMM을 적용하여 유출부에서의 본류수심을 고려한 재해위험지역의 하천범람과 내수침수 범위를 산정하였다. 연구지역은 GIS 프로그램인 ArcView를 이용하여 총 16개의 소유역으로 구분하고 총 노드 75개 총 링크 74개를 생성하고 분석하였다. 그 결과 2002년, 2003년의 태풍발생에 의해 침수된 지역의 특성을 하류지역의 경우 잘 반영하였으며 상류지역의 경우는 얕은 침수심을 갖으며 좀 더 넓게 침수피해가 발생하는 것으로 분석되었다.

• 기술발표회
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• s.2006
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• pp.220-231
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• 2006

Debris flows are a natural hazard which looks like a combination of flood, land and rock slide. Large rainfall in July 2006 produced several large scale debris flows and many small debris flows that resulted in loss of life and considerable property and highway damage, as was widely reported in the national media. The hazard "debris flow" is still insufficiently researched Furthermore debris flows are very hard to predict. In this paper, a general over view of the debris flow problems along the highway, a generic way for the design and dimensioning of flexible barrier systems will be presented. A brief description of the various unique barrier types will be provided, too. The future for these barrier concepts looks promising because these barriers represent the state of art for such applications and are superior to many other available options.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.9-9
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• 2000

For the planning of future land use for economic activities, an essential component is the identification of the vulnerable areas for natural hazard and environmental impacts from the activities. Also, exploration for mineral and energy resources is carried out by a step by step approach. At each step, a selection of the target area for the next exploration strategy is made based on all the data harnessed from the previous steps. The uncertainty of the selected target area containing undiscovered resources is a critical factor for estimating the exploration risk. We have developed not only spatial prediction models based on adapted artificial intelligence techniques to predict target and vulnerable areas but also validation techniques to estimate the uncertainties associated with the predictions. The prediction models will assist the scientists and decision-makers to make two critical decisions: (i) of the selections of the target or vulnerable areas, and (ii) of estimating the risks associated with the selections.