• Title/Summary/Keyword: FIRE SEVERITY

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Estimation on Greenhouse Gases(GHGs) Emission of Large Forest Fire Area in 2013 (RapidEye 영상을 활용한 대형산불피해지의 온실가스 배출량 추정)

  • Won, Myoung-Soo;Kim, You-Seung;Kim, Kyong-Ha
    • Journal of the Korean Association of Geographic Information Studies
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    • v.17 no.3
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    • pp.54-67
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    • 2014
  • This study was performed to estimate Greenhouse gases(GHGs) emissions from biomass burning at large forest fire(Ulju, Pohang and Bonghwa) in 2013. The extended methodology to estimate GHGs adopted the IPCC(Intergovermental Panel on Climate Change) Guidelines(2006) equation. For classifying fire damaged area and analyzing burn severity of total three large-fire area damaged, this study used post-fire imagery from Rapideye imagery to compute the Maximum Likelihood Classifiction (MLC). The result of accuracy assessment on burn severity from imagery showed that average overall accuracy was 75.93% and Kapp coefficient was 0.67 Finally, GHGs emissions from biomass burning in the three large-fire area 2013 were estimated as follows: Ulju $CO_2$ 63,260, CO 5.207, $CH_4$ 360, $N_2O$ 28.0 and $NO_x$ $4.4g/kg^{-1}{\cdot}ha^{-1}$, Pohang $CO_2$ 28,675, CO 2.359, $CH_4$ 163, $N_2O$ 12.7 and $NO_x$ $1.9g/kg^{-1}{\cdot}ha^{-1}$ and Bonghwa $CO_2$ 53,086, CO 1,655, $CH_4$ 114, $N_2O$ 23.5 and $NO_x$ $3.6g/kg^{-1}{\cdot}ha^{-1}$.

Evaluating fire resistance of prestressed concrete bridge girders

  • Zhang, Gang;Kodur, Venkatesh;Hou, Wei;He, Shuanhai
    • Structural Engineering and Mechanics
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    • v.62 no.6
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    • pp.663-674
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    • 2017
  • This paper presents an approach for evaluating performance of prestressed concrete (PC) bridge girders exposed to fire. A finite element based numerical model for tracing the response of fire exposed T girders is developed in ANSYS. The analysis is carried out in three stages, namely, fire temperature calculation, cross sectional temperature evaluation, and then strength, deformation and effective prestress analysis on girders exposed to elevated temperatures. The applicability of the computer program in tracing the response of PC bridge girders from the initial preloading stage to failure stage, due to combined effects of fire and structure loading, is demonstrated through a case study, and validated by test data of a scaled PC box girder under ISO834 fire condition. Results from the case study show that fire severity has a significant influence on the fire resistance of PC T girders and hydrocarbon fire is most dangerous for the girder. The prestress loss caused by elevated temperature is about 10% under hydrocarbon fire till the girder failure, which can lead to the increase in deflection of the PC girder. The rate of deflection failure criterion is suggested to determine the failure of PC T girder under fire.

Ecological resilience of soil oribatid mite communities after the fire disturbance

  • Kim, Ji Won;Jung, Chuleui
    • Journal of Ecology and Environment
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    • v.36 no.2
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    • pp.117-123
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    • 2013
  • This study investigated the impact of the fire disturbance and the pattern of recovery of soil dwelling oribatid mite communities with respect to the resilience from the fire disturbance. Oribatid mites are important decomposer animals of plant debris in soil with the feeding habits of saprophagy and mycophagy. Massive wild fire reduced soil oribatid mite abundance and diversity. The impact varied relative to the intensity of the disturbance. The proportion of the species common to the non-disturbed natural site increased as the time after the disturbance elapsed, which implying some degree of naturalness occurring in reorganization phase of the oribatid mite community. From the sites with different degree of fire impact, we found higher diversity in intermediately disturbed sites than in severely disturbed or non-disturbed site, supporting the intermediate disturbance hypothesis. Also this study showed that with differential degree of disturbance plots, resilience pattern after the disturbance can be explored even with shorter period research relative to the ecological succession of community.

Simplified Evaluation Method for Residual Bond Strength of Reinforced Concrete Using Standard Fire Curve (표준화재곡선을 이용한 잔존부착강도 평가 간략방법 제안)

  • Moon, Do-Young
    • Journal of the Korean Society of Hazard Mitigation
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    • v.10 no.5
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    • pp.41-47
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    • 2010
  • For the enhancement of structural safety of thermally damaged reinforced concrete structure, rapid evaluation of damage in the structure is very important. This study addresses a simplified method which is equivalent to the standard fire curve (ISO 834) for the residual bond strength evaluation. In the proposed method, a exposure duration as well as the maximum temperature can be considered. For the comparisons with conventional methods, concrete properties obtained from the report of Daegu subway fire accident were referred and the results support the applicability of the proposed method in this study.

Research of IoT concept implemented severity classification system (IoT개념을 활용한 중증도 분류 시스템에 관한 연구)

  • Kim, Seungyong;Kim, Gyeongyong;Hwang, Incheol;Kim, Dongsik
    • Journal of the Society of Disaster Information
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    • v.14 no.1
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    • pp.28-35
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    • 2018
  • The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

Analysis of forest fire danger rating on accumulation types of the leaving of thinning slash (숲가꾸기 산물의 적재형태에 따른 산불위험도 분석)

  • Lee, Si-Young;Lee, Myung-Woog;Chae, Hee-Min;Kim, Young-Hwan;Park, Houng-Sek;Kwon, Chun-Geun
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.223-230
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    • 2007
  • Nowaday, for the promotion of producing forest trees, production of excellent timbers, and build-up of public forest area, it is on the increase of the thinning-forest for artificial forest, natural forest, eco-friendly forest, and the forest for development and improvement of forest resources nationwide. Even though the thinning-forest is applied around 180,000ha every year, the quantity of collected/used products is only 18,000ha $(240,000m^3)$ which is 10% of the whole thinning-forest area. Meanwhile, some reports represent that the left products after thinning-forest might increase the severity of forest fire and the waste of resources. Therefore, this study focused on the analysis of correlation between the accumulated products after thinning-forest and forest fire, and providing a preparation plan for the forest fire.

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Assessment of Drought on the Goseong-Sokcho Forest Fire in 2019 using Multi-year High-Resolution Synthetic Precipitation Data

  • Sim, Jihan;Oh, Jaiho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.379-379
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    • 2020
  • The influence of drought has increased due to global warming. In addition, forest fires have occurred more frequently due to droughts and resulted in property losses and casualty. In this study, the effects of drought on Goseong-Sokcho Forest Fire in 2019 were analyzed using high-resolution synthetic precipitation data. In order to determine the severity of drought, the average, 20%tile and 80%ile values were calculated using the synthetic precipitation data of the past 30 years and compared with the current climatology. We have investigated the multi-year accumulated precipitation data to determine the persistence of drought. In Goseong-Sokcho forest fire case, the two-year cumulative synthetic precipitation data shows a similar value to the climate, but the three-year cumulative synthetic precipitation data was close to the 20%ile lines of the climate value. It may expose that the shortage of precipitation in 2017 had persisted until 2019, despite abundant precipitation during the summer in 2018. Therefore, Goseong-Sokcho forest fire might be spread more rapidly by drought which has been persisted since 2017.

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Clinical Usefulness of Critical Patient Severity Classification System(CPSCS) and Glasgow coma scale(GCS) for Neurological Patients in Intensive care units(ICU) (Glasgow coma scale의 임상적 유용성 평가 - 중환자 중증도 분류도구 -)

  • Kim, Hee-Jeong;Kim, Jee-Hee;Roh, Sang-Gyun
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.190-193
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    • 2012
  • The tools that classify the severity of patients based on the prediction of mortality include APACHE, SAPS, and MPM. Theses tools rely crucially on the evaluation of patients' general clinical status on the first date of their admission to ICU. Nursing activities are one of the most crucial factors influencing on the quality of treatment that patients receive and one of the contributing factors for their prognosis and safety. The purpose of this study was to identify the goodness-of-fit of CPSCS of critical patient severity classification system(CPSCS) and Glasgow coma scale(GCS) and the clinical usefulness of its death rate prediction. Data were collected from the medical records of 187 neurological patients who were admitted to the ICU of C University Hospital. The data were analyzed through $x^2$ test, t-test, Mann-Whitney, Kruskal-Wallis, goodness-of-fit test, and ROC curve. In accordance with patients' general and clinical characteristics, patient mortality turned out to be statistically different depending on ICU stay, endotracheal intubation, central venous catheter, and severity by CPSCS. Homer-Lemeshow goodness-of-fit tests were CPSCS and GCS and the results of the discrimination test using the ROC curve were $CPSCS_0$,.734, $GCS_0$,.583, $CPSCS_{24}$,.734, $GCS_{24}$,.612, $CPSCS_{48}$,.591, $GCS_{48}$,.646, $CPSCS_{72}$,.622, and $GCS_{72}$,.623. Logistic regression analysis showed that each point on the CPSCS score signifies1.034 higher likelihood of dying. Applied to neurologically ill patients, early CPSCS scores can be regarded as a useful tool.

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Crash Discrimination Algorithm with Two Crash Severity Levels Based on Seat-belt Status (안전띠 착용 유무에 근거한 두 단계의 충돌 가혹도 수준을 갖는 충돌 판별 알고리즘)

  • 박서욱;이재협
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.2
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    • pp.148-156
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    • 2003
  • Many car manufacturers have frequently adopted an aggressive inflator and a lower threshold speed for airbag deployment in order to meet an injury requirement for unbolted occupant at high speed crash test. Consequently, today's occupant safety restraint system has a weakness due to an airbag induced injury at low speed crash event. This paper proposes a new crash algorithm to improve the weakness by suppressing airbag deployment at low speed crash event in case of belted condition. The proposed algorithm consists of two major blocks-crash severity algorithm and deployment logic block. The first block decides crash severity with two levels by means of velocity and crash energy calculation from acceleration signal. The second block implemented by simple AND/OR logic combines the crash severity level and seat belt status information to generate firing commands for airbag and belt pretensioner. Furthermore, it can be extended to adopt additional sensor information from passenger presence detection sensor and safing sensor. A simulation using real crash data for a 1,800cc passenger vehicle has been conducted to verify the performance of proposed algorithm.