• 제목/요약/키워드: wave preventing measures

검색결과 4건 처리시간 0.021초

쓰나미에 대비(對備)한 해안림(海岸林) 조성(造成)과 비구조물(非構造物) 대책(對策) - 일본(日本)의 사례(事例)를 중심(中心)으로 - (Coastal Forest Construction and Non-Structural Measures for Preventing Tsunami Damage - In Case of Japan -)

  • 전근우;김석우;김경남;중도행희;강기차부
    • 한국산림과학회지
    • /
    • 제94권3호통권160호
    • /
    • pp.197-204
    • /
    • 2005
  • 동해에서 발생한 쓰나미가 우리나라에 미치는 영향을 파악하고, 해안림이 쓰나미의 속도와 에너지를 저감시키는 기능 및 비구조물 대책에 대하여 일본의 사례를 중심으로 분석하였다. 자료를 분석한 결과, 1983년과 1993년에 동해에서 발생한 쓰나미는 우리나라 동해안에 1시간 50분만에 도달하였으며, 이로 인해 인명, 재산 및 침수피해가 발생하였다. 또한 쓰나미에 대비하여 해안림을 폭 60m로 조성하면 속도는 30%, 에너지는 10%로 각각 저감되므로 60m 정도의 폭을 확보하도록 하고, 해안림의 임분구조는 혼효림의 복층림으로 하며, 방조시설을 함께 시공하여야 한다. 이와 함께 쓰나미에 대한 대응법과 주의점 등에 대한 적극적인 홍보와 같은 비구조물 대책을 마련하여야 할 것이다.

Information and General Guidance for Healthcare Professionals in the Fourth Wave of COVID-19

  • Kim, Jeung-Im;Yu, Mi;Yu, Soyoung;Park, Jin-Hee
    • 대한간호학회지
    • /
    • 제51권4호
    • /
    • pp.395-407
    • /
    • 2021
  • The COVID-19 curve seesawed and reached the fourth pandemic in July 2021. Since the first three waves, the focus has been on achieving herd immunity through vaccination while a lot of manpower is used for quarantine. However, we have not been able to prevent the fourth wave. The causes are thought to be related to people who doubt the safety of the vaccine and refuse it or violate quarantine guidelines such as social distancing. This study examined guidelines for preventing and controlling COVID-19, the accuracy of vaccination-related information, and described quarantine measures including for those who completed vaccination. In conclusion, prevention and vaccination are the most effective countermeasures against COVID-19. We recommend people vaccination with self-quarantine. Also, it is necessary to make large investments to protect and support nurses in future pandemics.

노인의 사회적 지지 및 사회활동과 신체기능의 관련성 (Association of Social Support and Social Activity with Physical Functioning in Older Persons)

  • 박경혜;이윤환
    • Journal of Preventive Medicine and Public Health
    • /
    • 제40권2호
    • /
    • pp.137-144
    • /
    • 2007
  • Objectives : According to Rowe and Kahn (1998), successful aging is the combination of a low probability of disease, high functioning, and active engagement with life. The purpose of this study was to assess the relationship between active engagement with life and functioning among the community-dwelling elderly. Methods : Data were collected from Wave 2 of the Suwon Longitudinal Aging Study (SLAS), consisting of a sample of 645 persons aged 65 and older living in the community. A social activity checklist and social support inventory were used as measures of engagement with life, along with the Physical Functioning (PF) scale as a measure of functioning. The effects of social support and social activity on physical functioning, taking into account the covariates, were analyzed by hierarchical linear regression analysis. Results : Maintenance of social activity and social support were significantly associated with higher physical function, after adjusting for sociodemographic and health-related covariates. Social support appeared to be more prominent than social activity in predicting physical functioning. Conclusions : Social support and social activity are potentially modifiable factors associated with physical function in older persons. Studies examining the role social engagement may play in preventing disability are warranted.

SVM 이용한 다중 생체신호기반 온열질환 감지 스마트 안전모 개발 (Smart Helmet for Vital Sign-Based Heatstroke Detection Using Support Vector Machine)

  • 장재민;이강호;주수빈;권오원;이학;이동규
    • 센서학회지
    • /
    • 제31권6호
    • /
    • pp.433-440
    • /
    • 2022
  • Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.