• 제목/요약/키워드: 습구흑구온도지수

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도심재생하천 내 수리적 특성이 열환경 변화에 미치는 영향 평가: 청계천을 대상으로 (Impact Assessment on the Change of Thermal Environment, According to the Hydraulic Characteristic Urban Regeneration Stream: Cheonggyecheon Case Study)

  • 김정호;이주승;윤용한
    • 환경정책연구
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    • 제14권2호
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    • pp.3-25
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    • 2015
  • 도심재생하천 내부의 수리적 특성이 열환경 변화에 미치는 영향을 알아보고자 하천의 물리적 구조와 수리적 특성, 기상요소, 온열환경을 분석하였다. 연구 대상지는 복원된 도시하천으로서 큰 의의를 가지는 청계천을 선정하였다. 유형은 물리적 구조별 녹피율의 차이에 따라 유형 I(0.0%)과 유형 II(20.2%)로 구분하였다. 여울이 끝나는 Ba지점에서 수온은 $0.2^{\circ}C$ 감소, 유속은 0.7~0.9m/s 증가, 용존산소량은 0.5~0.6mg/L 증가하였으며, 기온은 평균 $1.1{\sim}1.4^{\circ}C$ 감소, 상대습도는 평균 6.6~8.7% 증가, 풍속은 불규칙한 변화를 보였다. 습구흑구온도지수 분석결과, 유형에 따른 상류부의 하천 내부와 수면 외부의 값의 차이는 미비하였으나, 유형 I의 하류부에서 감소폭은 $0.3{\sim}0.6^{\circ}C$, 유형 II는 $0.8^{\circ}C$ 등이었다. 기온저감의 효과는 수직높이로 유형 I의 경우 120cm, 유형 II는 140cm까지 영향이 있었으며, 거리별 기온저감의 효과는 유형 I의 경우 여울이 끝나는 Ba지점 이후로 증가하였고, 유형 II의 경우 지속해서 감소하였다.

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습구흑구온도지수 모델링을 통한 옥외 건설 현장의 고열 노출수준 추정 (Estimation of Extreme Heat Exposure at Outdoor Construction Sites through Wet Bulb Globe Temperature Modeling)

  • 신새미;이혜민;기노성;채정수;변상훈
    • 한국산업보건학회지
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    • 제32권4호
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    • pp.402-413
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    • 2022
  • Objectives: In this study, the scale of exceeding the extreme heat exposure standard at the construction site was estimated using the nationally approved statistical data and wet bulb globe temperature modeling method. By comparing and analyzing the modeling results with the existing work environment monitoring results, the risk of heat exposure at outdoor construction sites was considered. Methods: Using the coordinates of second level administrative districts and meteorological observatories as the key, the automated synoptic observing system data and building permit data for 2021 were matched. The wet-bulb temperature was obtained using Stull's formula, and the globe temperature was obtained using the TgKMA2006 model. WBGT was calculated using these. Excess rates were obtained compared to exposure limits for heavy work-continuous work and moderate work-25% rest. It was compared with the results of the work environment monitoring in 2020. Results: As a result, 1,827,536 cases were estimated for 11,052 workplaces in one year. This is much higher than the 5,116 cases of 3818 workplaces of the existing work environment monitoring results. It is confirmed that the exposure limit was exceeded in 10.6~24.0% of the entire period and 70.2~84.1% of the peak period of the heat wave. It is very high compared to 0.9% of the existing work environment monitoring result. Conclusions: It is necessary to improve the system of monitoring and statistics related to extreme heat. Additional considerations are needed regarding WBGT estimation methods, meteorological data, and evaluation time. Various follow-up risk assessment studies for other industries and time series need to be continued.