• Title/Summary/Keyword: Fall Disaster Management

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A Study on Prevention of Construction Opening Fall Accidents Introducing Image Processing (이미지 프로세싱을 활용한 개구부 추락 사고예방에 관한 연구)

  • Hong, Sung-Moon;Kim, Buyng-Chun;Kwon, Tae-Whan;Kim, Ju-Hyung;Kim, Jae-Jun
    • Journal of KIBIM
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    • v.6 no.2
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    • pp.39-46
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    • 2016
  • While institutional matters such as improvement on Basic Guidelines for Construction Safety are greatly concerned to reduce falling accidents at construction sites, there are short of studies on how to practically predict accident signs at construction sites and to preemptively prevent them. As one of existing accident prevention methods, it was attempted to build the early warning system based on standardized accident scenarios to control the situations. However, the investment cost was too high depending on the site situation, and it did not help construction workers directly since it was developed to mainly provide support operational work support to safety managers. In the long run, it would be possible to develop the augmented reality based accident prevention method from the worker perspective by extracting product information from BIM, visually rendering it along with site installation materials term and comparing it with the site situation. However, to make this method effective, the BIM model should be implemented first and the technology that can promptly process site situations should be introduced. Accordingly, it is necessary to identify risk signs through lightweight image processing to promptly respond only with currently available resources. In this study, it was intended to propose the system concept that identified potential risk factors of falling accidents by histogram equalization, which was known as the fastest image processing method presently, used visual words, which could enhance model classification by wording image records, to determine the risk factors and notified them to the work manager.

Remembering Disasters: the Resilience Approach

  • le Blanc, Antoine
    • The Journal of Art Theory & Practice
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    • no.14
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    • pp.217-245
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    • 2012
  • The aim of this paper is to show how the paradigm of disaster resilience may help reorienting urban planning policies in order to mitigate various types of risks, thanks to carefully thought action on heritage and conservation practices. Resilience is defined as the "capacity of a social system to proactively adapt to and recover from disturbances that are perceived within the system to fall outside the range of normal and expected disturbances." It relies greatly on risk perception and the memory of catastrophes. States, regions, municipalities, have been giving territorial materiality to collective memory for centuries, but this trend has considerably increased in the second half of the 20th century. This is particularly true regarding the memory of disasters: for example, important traces of catastrophes such as urban ruins have been preserved, because they were supposed to maintain some awareness and hence foster urban resilience - Berlin's Gedachtniskirche is a well-known example of this policy. Yet, in spite of preserved traces of catastrophes and various warnings and heritage policies, there are countless examples of risk mismanagement and urban tragedies. Using resilience as a guiding concept might change the results of these failed risk mitigation policies and irrelevant disaster memory processes. Indeed, the concept of resilience deals with the complexity of temporal and spatial scales, and with partly emotional and qualitative processes, so that this approach fits the issues of urban memory management. Resilience might help underlining the complexity and the subtlety of remembrance messages, and lead to alternative paths better adapted to the diversity of risks, places and actors. However, when it is given territorial materiality, memory is almost always symbolically and politically framed and interpreted; Vale and Campanella had already outlined this political aspect of remembrance and resilience as a discourse. Resilience and the territorialization of memory are not ideologically neutral, but urban risk mitigation may come at that price.

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A Foundational Study on Deep Learning for Assessing Building Damage Due to Natural Disasters (자연재해로 인한 건물의 피해 평가를 위한 딥러닝 기초 연구)

  • Kim, Ji-Myong;Yun, Gyeong-Cheol
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.3
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    • pp.363-370
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    • 2024
  • The escalating frequency and intensity of natural disasters and extreme weather events due to climate change have caused increasingly severe damage to societal infrastructure and buildings. Government agencies and private companies are actively working to evaluate these damages, but existing technologies and methodologies often fall short of meeting the practical demands for accurate assessment and prediction. This study proposes a novel approach to assess building damage resulting from natural disasters, focusing on typhoons-one of the most devastating natural hazards experienced in the country. The methodology leverages deep learning algorithms to evaluate typhoon-related damage, providing a comprehensive framework for assessment. The framework and outcomes of this research can provide foundational data for the evaluation of natural disaster-induced damage over the entire life cycle of buildings and can be applied in various other industries and research areas for assessing risk of damage.

A Study on the Reduction of Falling Deaths Using 4M (4M을 활용한 떨어짐 사망사고 저감 방안 연구)

  • Kim, Seung Eun;Park, Jong Young;Kim, Young Kweon
    • Journal of the Society of Disaster Information
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    • v.17 no.1
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    • pp.143-153
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    • 2021
  • Purpose: The purpose of this study was to analyze data from the Ministry of Health, Safety and Health and the Ministry of Employment and Labor, and the total number of deaths (disease + accidents) reached 2,020 in 2019 and the estimated economic loss was 27.6 trillion won. This is believed to be the time to present improvements to ensure that economic loss estimates are steadily increasing as in Table 1, and that government-level losses can be drastically reduced. Method: In this study, factors were selected through prior research, and reliability analysis, technical statistics and correlation analysis, and multi-term analysis were conducted through the Jamovi program for the analysis of results. Result: Multiple session analysis was conducted to verify the research theory indicated in this study, and the analysis showed that mechanical and management factors did not affect the fall death accident of the opening, and human factors, material and environmental factors had a static effect. In addition, mechanical and administrative factors do not affect the fall of the outer wall, and human and material and environmental factors have a static effect. Conclusion:: As a result of analyzing 450 falling deaths over the past 13 years among the data posted to the Korea Health and Safety Corporation, the most common causes of falling deaths were the openings and outer walls.

A Study on Falling Detection of Workers in the Underground Utility Tunnel using Dual Deep Learning Techniques (이중 딥러닝 기법을 활용한 지하공동구 작업자의 쓰러짐 검출 연구)

  • Jeongsoo Kim;Sangmi Park;Changhee Hong
    • Journal of the Society of Disaster Information
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    • v.19 no.3
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    • pp.498-509
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    • 2023
  • Purpose: This paper proposes a method detecting the falling of a maintenance worker in the underground utility tunnel, by applying deep learning techniques using CCTV video, and evaluates the applicability of the proposed method to the worker monitoring of the utility tunnel. Method: Each rule was designed to detect the falling of a maintenance worker by using the inference results from pre-trained YOLOv5 and OpenPose models, respectively. The rules were then integrally applied to detect worker falls within the utility tunnel. Result: Although the worker presence and falling were detected by the proposed model, the inference results were dependent on both the distance between the worker and CCTV and the falling direction of the worker. Additionally, the falling detection system using YOLOv5 shows superior performance, due to its lower dependence on distance and fall direction, compared to the OpenPose-based. Consequently, results from the fall detection using the integrated dual deep learning model were dependent on the YOLOv5 detection performance. Conclusion: The proposed hybrid model shows detecting an abnormal worker in the utility tunnel but the improvement of the model was meaningless compared to the single model based YOLOv5 due to severe differences in detection performance between each deep learning model

Analysis of Occupational Accident Types in the Apartment Construction Sites using Multiple Correspondence Analysis (다중 상응 분석을 통한 아파트 건설현장 업무상 재해 유형 분석)

  • Ryu, Han-Guk;Son, Seunghyun
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.3
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    • pp.269-278
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    • 2020
  • In this study, we analyzed the safety accidents that occurred in the apartment construction site and the correlations between the victims according to the type of work accidents through multiple correspondence analysis. There is a lack of disaster-related studies on apartment construction sites, the third most frequent building type in Korea, and most of them have used survey techniques. Therefore, the exploratory data analysis was conducted in industrial accident cause data, and derived the correlation analysis between each disaster victim through multiple correspondence analysis. The results of the study are summarized in two as follows. First, as the number of heights increased due to the high rise and complexity of apartments, the fall rate and mortality rate were high. In addition, deaths are mostly caused by very few experienced workers or those with more than 10 years of experience, resulting from safety training, lack of experience, and insensitivity to safety. Second, multi-correspondence analysis showed that most safety accidents can be prevented by wearing safety equipment, and following proper work process and its safety action. The key factors derived from this study can be used for safety education, supervision, and management in apartment construction sites.

First Report of the Fall Armyworm, Spodoptera frugiperda (Smith, 1797) (Lepidoptera, Noctuidae), a New Migratory Pest in Korea (한국에서 새로운 비래해충 열대거세미나방, Spodoptera frugiperda (Smith) 최초 보고)

  • Lee, Gwan-Seok;Seo, Bo Yoon;Lee, Jongho;Kim, Hyunju;Song, Jeong Heub;Lee, Wonhoon
    • Korean journal of applied entomology
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    • v.59 no.1
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    • pp.73-78
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    • 2020
  • The fall armyworm, Spodoptera frugiperda (Smith, 1797), originated from tropical and subtropical America is one of sporadic agricultural pests in the world. Since the moth has high migration capacity, it rapidly expanded the world distribution such as Africa in 2016, India in 2018, and East-Asian countries in 2019. In Korea, this species was firstly found at maize fields of Jeju Island, in early June 2019, and subsequently detected at many counties of Jeolla-do and Gyeongsang-do in June and July 2019. The first invaded populations of S. frugiperda in Korea were genetically confirmed as one species, S. frugiperda by using a mitochondrial cytochrome oxidase subunit I (COI) gene, and analyzed to be comprised of two haplotypes (hap-1 and hap-2) each belonging to different clades. Among 31 COI sequences, the hap-1 sequence was predominant, accounting for 93.5%.

Rainfall and Runoff Characteristics on a Deciduous Forest Watershed in Mt. Ungsek, Sancheong (산청 웅석봉군립공원 내 활엽수림유역의 강수와 유출특성)

  • Kim, Ki-Dae;Choi, Hyung-Tae;Lim, Hong-Geun;Park, Jae-Hyeon
    • Journal of Korean Society of Forest Science
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    • v.106 no.1
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    • pp.63-69
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    • 2017
  • This study aimed to investigate orographic precipitation and green dam (water conservation function) characteristics in a deciduous forest watershed in the region of Mt. Ungseok, Sancheong, Gyeongnam, South Korea. The rainfall and runoff of the watershed were monitored for six years (2011~2016) at the weather station and at the weir of the watershed, respectively. During the study period, the rainfall in the watershed (mountainous area) was larger than that of the meteorological station (flat area) nearest to the watershed. Besides, compared to the normal year (1981~2010), the rainfall has increased and the seasonal distribution of rainfall of the mountainous area has changed. These changes might have been caused by climate change. The runoff ratio was highest in spring, followed by winter, summer and fall, whilst the runoff was highest in summer, followed by spring, fall and winter. This difference seems to be due to the melting of snow in dry spring and intensive rainfall in summer. The total runoff in the watershed was calculated as $10,143.8ton{\cdot}ha{\cdot}yr^{-1}$.

Preliminary Feasibility Study for Water Resources Policy Effect Analysis Direction (수자원분야 예비타당성 조사 정책효과 분석 방향)

  • Seong, Yeonjeong;Choi, Seungan;Kwon, Hyun-Han;Jung, Younghun
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.3
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    • pp.1-16
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    • 2021
  • Recently, large-scale projects are required in the water resources sector considering safety and publicitythe due to uncertainty of securing water resources and changes in the ecological environment by climate change. Among these large-scale projects, the projects that fall under the preliminary feasibility study are determined by comprehensive analysis based on economic analysis, policy analysis, and balanced regional development analysis. However, most of the results of the preliminary feasibility study showed a tendency to depend heavily on economic analysis. For this reason, projects in non-metropolitan areas sometimes fail in the preliminary feasibility study. To supplement this point, the Korea Development Institute revised the standard guidelines for preliminary feasibility studies for water resources sector projects that place a high weight on policy feasibility analysis. Therefore, the objective of this study is to analyze the cases of the preliminary feasibility study conducted previously and to suggest the direction of policy analysis in the preliminary feasibility study for water resources sector projects. For this, we analyze preliminary feasibility studies conducted for 18 years from 2002 to 2019, and suggest direction of policy analysis method using the benefit items not included in the economic analysis.

Spatial Characteristics of Vegetation Development and Groundwater Level in Sand Dunes on a Natural Beach (해안사구의 지하수위와 식생 발달의 공간적 특성 연구)

  • Park, JungHyun;Yoon, Han-sam;Jeon, Yong-Ho
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.19 no.3
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    • pp.218-226
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    • 2016
  • Field observations were used to study the characteristics and influence of groundwater level fluctuations on vegetation development on the natural beach of a sandy barrier island, in the Nakdong River estuary. The spatial/temporal fluctuations of the groundwater level and the interactions with the external forces (weather, ocean wave and tide) were analyzed. The results indicated that when it rains the groundwater level rises. During summer, when precipitation intensity is greater than 20 mm/hour, it rose rapidly over 20 cm. Subsequently, it fell gradually during periods of no precipitation. Seasonal characteristics indicated that the groundwater level was high during the summer rainy season and tended to fall in the winter dry season. The time-averaged groundwater level, observed from the four observations over 3 years (2012-2014), was about 1.47 m, higher than mean sea level (M.S.L.). It was shown that the average annual groundwater level rises toward the land rather than showing intertidal patterns observation. Differences in the presence or absence of a coastal sand dunes affected the progress of vegetation. In other words, in environments of saltwater intrusion where the groundwater level varies, dependent on the distance from the shoreline and bottom slope, sand dunes can be provided to affect soil conditions and groundwater, so that vegetation can be grown reliably.