• Title/Summary/Keyword: regional damage

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Empirical seismic fragility rapid prediction probability model of regional group reinforced concrete girder bridges

  • Li, Si-Qi;Chen, Yong-Sheng;Liu, Hong-Bo;Du, Ke
    • Earthquakes and Structures
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    • v.22 no.6
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    • pp.609-623
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    • 2022
  • To study the empirical seismic fragility of a reinforced concrete girder bridge, based on the theory of numerical analysis and probability modelling, a regression fragility method of a rapid fragility prediction model (Gaussian first-order regression probability model) considering empirical seismic damage is proposed. A total of 1,069 reinforced concrete girder bridges of 22 highways were used to verify the model, and the vulnerability function, plane, surface and curve model of reinforced concrete girder bridges (simple supported girder bridges and continuous girder bridges) considering the number of samples in multiple intensity regions were established. The new empirical seismic damage probability matrix and curve models of observation frequency and damage exceeding probability are developed in multiple intensity regions. A comparative vulnerability analysis between simple supported girder bridges and continuous girder bridges is provided. Depending on the theory of the regional mean seismic damage index matrix model, the empirical seismic damage prediction probability matrix is embedded in the multidimensional mean seismic damage index matrix model, and the regional rapid prediction matrix and curve of reinforced concrete girder bridges, simple supported girder bridges and continuous girder bridges in multiple intensity regions based on mean seismic damage index parameters are developed. The established multidimensional group bridge vulnerability model can be used to quantify and predict the fragility of bridges in multiple intensity regions and the fragility assessment of regional group reinforced concrete girder bridges in the future.

Analysis of Regional Flood Damage Characteristics using Relationship between Flood Frequency and Damages (홍수피해 발생빈도-피해액 관계분석을 통한 지역별 홍수피해특성 분석)

  • Park, Tae-Sun;Choi, Min-Ha;Yeo, Chang-Geon;Lee, Seung-Oh
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.5
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    • pp.87-92
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    • 2009
  • It has been considered only with the concerned regional damage costs whenever the restoration and flood control measures were established in Korea. If the relationship between regional flood frequency and damages is quantitatively analyzed, more resonable and reliable countermeasure for flood protection and restoration can be proposed. Historical data ('70~'07) about flood damage in Korea were utilized and analyzed to present such relationship using the point frequency analysis. Also, the quadrant analysis was employed to divide into 4 categories: high frequency-high damage, high frequency-low damage, low frequency-high damage, and low frequency-low damage. If the results from this study were utilized well in specific cities and counties in Korea, it would be helpful to establish the countermeasures and action plans for flood protection because it was possible to compare with the relationship between flood frequency and damage of each region. And it would be the fundamental data for estimating the effect of future flood protection plan.

Flood Damage Index regarding Regional Flood Damage Characteristics (지역별 홍수피해특성을 고려한 홍수피해지표 개발)

  • Park, Taesun;Yeo, Chang Geon;Choi, Minha;Lee, Seung Oh
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4B
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    • pp.361-366
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    • 2010
  • It would be helpful to evaluate the potential flood damage and compare quantitatively with each other when establishing the regional flood countermeasure and determining the execution of the restoration works and emergency action plans. The Flood Damage Index (FDI) in Korea, possible to estimate localized potential risks caused by flood damages, therefore, was proposed in this study. It was considered with the scale of regional flood damages including the regional characteristics and quantitative grounds. First, the four significant causes were categorized as natural, social, politic, and facilitative ones. And the eleven selected factors representing four causes were determined. Finally, the FDI was obtained by the weighting linear summation of the corrected 11 factors multiplied by the weighting values based on the professional questionnaires. Employing the FDI, the potential risk analysis about flood damages for 229 cities and counties in Korea was conducted. These results would be utilized as the essential basis for more rational and practical countermeasures and plans against flood damage.

Study of Legal Issues on Complex Regional Pain Syndrome (CRPS) - Focusing on issues in damage compensation lawsuit - (복합부위통증증후군(CRPS)에 관한 법적 문제 고찰 - 손해배상소송의 쟁점을 중심으로 -)

  • Bae, Hyun-Mo
    • The Korean Society of Law and Medicine
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    • v.11 no.1
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    • pp.91-116
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    • 2010
  • As Complex Regional Pain Syndrome (CRPS) is a new and rare illness, medical cause for it has not yet been clearly found out. Nevertheless, the patients continue to file lawsuits for damage compensation against wrongdoers or their insurers, claiming that the cause of the illness is certain actions of the wrongdoers. Moreover, the claim amount reaches to hundreds of millions of won through billions of won unlike other illnesses. Therefore, CRPS has become an important legal issue in the damage compensation lawsuit. Even though the wound is slight, the development and result may be serious in the case of CRPS. As a result, a sharp conflict arises even regarding medical diagnosis of CRPS in the lawsuit. And, even if the medical diagnosis of CRPS is admitted, severe debates occurs with regard to many issues, which include the causation between accident and CRPS in connection with establishment of damage compensation liability and scope of liability like anamnesis, determination standard of aftereffect disability, and scope of admitted aftereffect medical expense in connection with scope of damage compensation. In this study, I will review fundamental medical research on CRPS up to now and discuss principal legal issues in the damage compensation lawsuit focusing on lower court rulings.

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Proficiency Test for Pharmaceutical Companies in Analyzing Drug Products (I) - Comparison of Criteria for Satisfactory Test Results

  • Cho, Jung-Hwan;Sung, Jun-Hyun;Choi, Seon-Hee;Choi, Jang-Duck;Lee, Seung-Kyung;Chae, Kab-Ryong;Moon, Byung-Woo
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.398.3-399
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    • 2002
  • Quality control by analytical ability with a certain level of precision and accuracy is important. This is true especially in pharmaceutical industries. for a failure in quality control can result in a failure in drug medication. in turn. sometimes a heavy damage to patient's health condition andlor the worst damage to company's reputation. On this backgroun, Kyungki KFDA prepared test pharmaceutical products, which were distributed to 114 pharmaceutical companies in kyungin Province in year 2000. (omitted)

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Flood Risk Estimation Using Regional Regression Analysis (지역회귀분석을 이용한 홍수피해위험도 산정)

  • Jang, Ock-Jae;Kim, Young-Oh
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.4
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    • pp.71-80
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    • 2009
  • Although desire for living without hazardous damages grows these days, threats from natural disasters which we are currently exposed to are quiet different from what we have experienced. To cope with this changing situation, it is necessary to assess the characteristics of the natural disasters. Therefore, the main purpose of this research is to suggest a methodology to estimate the potential property loss and assess the flood risk using a regional regression analysis. Since the flood damage mainly consists of loss of lives and property damages, it is reasonable to express the results of a flood risk assessment with the loss of lives and the property damages that are vulnerable to flood. The regional regression analysis has been commonly used to find relationships between regional characteristics of a watershed and parameters of rainfall-runoff models or probability distribution models. In our research, however, this model is applied to estimate the potential flood damage as follows; 1) a nonlinear model between the flood damage and the hourly rainfall is found in gauged regions which have sufficient damage and rainfall data, and 2) a regression model is developed from the relationship between the coefficients of the nonlinear models and socio-economic indicators in the gauged regions. This method enables us to quantitatively analyze the impact of the regional indicators on the flood damage and to estimate the damage through the application of the regional regression model to ungauged regions which do not have sufficient data. Moreover the flood risk map is developed by Flood Vulnerability Index (FVI) which is equal to the ratio of the estimated flood damage to the total regional property. Comparing the results of this research with Potential Flood Damage (PFD) reported in the Long-term Korea National Water Resources Plan, the exports' mistaken opinions could affect the weighting procedure of PFD, but the proposed approach based on the regional regression would overcome the drawback of PFD. It was found that FVI is highly correlated with the past damage, while PFD does not reflect the regional vulnerabilities.

Regression models on flood damage records by rainfall characteristics for regional flood damage estimates (지역별 홍수피해추정을 위한 강우특성에 대한 홍수피해자료의 회귀모형)

  • Lim, Yeon Taek;Choi, Hyun Il
    • Journal of Wetlands Research
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    • v.22 no.4
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    • pp.302-311
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    • 2020
  • There are limitations to cope with flood damage by structural strategies alone because both frequency and intensity of floods are increasing due to climate change. Therefore, it is one of the necessary factors in the nonstructural countermeasures to collect and analyze historical flood damage records for the future flood damage assessments. In order to estimate flood damage costs in Gyeongsangbuk-do where severe flood damage occurs frequently due to geographical and climatic effects, this paper has performed the regression analysis on flood damage records over the past 20 years (1999-2018) by rainfall characteristics, which is one of the major causes of flood damage. This paper has then examined the relationship between the terrain features and rainfall characteristics in the regional regression functions, and also estimated the flood damage risk for 100-year rainfall by using the regional regression functions presented for the 22 administrative districts in Gyeongsangbuk-do excluding Ulleung-gun. The flood damage assessment shows that the relatively high damage risk is estimated for county areas adjacent to the eastern coast in Gyeongsangbuk-do. The regional damage estimate functions in this paper are expected to be used as one of the nonstructural countermeasures to estimate flood damage risk for the design or forecasting rainfall data.

Monitoring regional inequalities in climate change risk - A Focus on Heatwave - (기후변화 리스크의 지역 불평등 모니터링 : 폭염을 중심으로)

  • Kim, Geun-Han
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.6
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    • pp.97-107
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    • 2021
  • Abnormal climate caused by climate change causes enormous social and economic damage. And such damage and its impact may vary depending on the location and regional characteristics of the region and the social and economic conditions of local residents. Therefore, it is necessary to continuously monitor whether there are indicators that are weaker than other regions among the detailed indicators that constitute the risk, exposure and vulnerability of climate change risk. In this study, the concept of climate change risk was used for heatwave to determine regional inequality of climate change risk. In other words, it was judged that inequality in climate change risk occurred in regions with high risk but high exposure and low vulnerability compared to other regions. As a result of the analysis, it was found that 13 local governments in Korea experienced regional inequality in climate change risk. In order to resolve regional inequality in climate change risks, the current status of regional inequality in climate change should be checked based on the analysis proposed in this study, there is a need for an evaluation and monitoring system that can provide appropriate feedback on areas where inequality has occurred. This continuous evaluation and monitoring-based feedback system is expected to be of great help in resolving regional inequality in climate change risks.

A Study on Compute of Freezing Depth through Frost Damage Investigation in Gangwon Region (강원지역 동상 피해조사를 통한 동결심도 산정 연구)

  • Seungwoo Ahn;Beomsu Moon;Woocheol Jeong;Songhee Suk;Song Choi;Yongseong Kim
    • Journal of the Korean Geosynthetics Society
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    • v.22 no.1
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    • pp.97-107
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    • 2023
  • This study analyzed the causes of frost damage and freezing depth for concrete ballast sites in the Gangwon mountainous area, which has a high freezing index, and considered the equation for freezing depth in concrete roadbeds. Comparing the freezing depth tendencies of concrete roadbeds in the Gangwon mountainous area and Gangwon area, it was found that the freezing depth of concrete roadbeds was higher than that of the Gangwon area when the freezing index was less than 400. However, in sections with a freezing index greater than 400, the freezing depth was higher in the Gangwon area than in the concrete roadbeds. This study proposed an equation for computing the freezing depth in the Gangwon area to provide basic data for establishing preventive measures against frost damage during railway and road construction projects in the Gangwon region.

Assessment and quantification of hurricane induced damage to houses

  • Chiu, Gregory L.F.;Wadia-Fascetti, Sara Jean
    • Wind and Structures
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    • v.2 no.3
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    • pp.133-150
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    • 1999
  • Significant costs to the public and private sectors due to recent extreme wind events have motivated the need for systematic post-hurricane damage data collection and analysis. Current post disaster data are collected by many different interested groups such as government agencies, voluntary disaster relief agencies, representatives of media companies, academicians and companies in the private sector. Each group has an interest in a particular type of data. However, members of each group collect data using different techniques. This disparity in data is not conducive to quantifying damage data and, therefore, inhibits the statistical and spatial description of damage and comparisons of damage among different extreme wind events. The data collection does not allow comparisons of data or results of analyses within a group and also prohibits comparison of damage data and information among different groups. Typically, analyses of data from a given event lead to different conclusion depending upon the definition of damage used by individual investigators and the type of data collected making it difficult for members of groups to compare the results of their analyses with a common language and basis. A formal method of data collection and analysis-within any single group-would allow comparisons to be made among different individuals, hazardous events and eventually among different groups, thus facilitating the management and reduction of damage due to future disaster. This research introduces a definition of damage to single family dwellings, and a common method of data collection and analysis suited for groups interested in regional characterization of damage. The current state-of-data is presented and a method for data collection is recommended based on these existing data collection methods. A fixed-scale damage index is proposed to consider the damage to a dwelling's feature. Finally, the damage index is applied to three dwellings damaged by Hurricane Iniki (1992). The damage index reflects the reduced functionality of a structure as a single family detached dwelling and provides a means to evaluate regional damage due to a single event or to compare damage due to events of different severity. Evaluation of the damage index and the data available support recommendation for future data collection efforts.