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하계 항만열환경지수 최적화 방안연구: 항만작업환경을 반영한 MENEX모델의 입력변수 개선
윤진아 ( Jinah Yun ),황미경 ( Mi-kyoung Hwang ),김유근 ( Yoo-keun Kim ) 한국환경과학회 2016 한국환경과학회지 Vol.25 No.7
To prevent increasing instances of heat-related illnesses due to heat waves generated by climate change, a customized thermal environment index should be developed for outdoor workers. In this study, we conducted sensitivity analysis of the Masan harbor during a heat wave period (August 9th to 15th, 2013) using the MENEX model with metabolic rate and clothing-insulation data, in order to obtain realistic information about the thermal environment. This study shows that accurate input data are essential to gather information for thermophysiological indices (PST, DhR, and OhR). PST is sensitive to clothing insulation as a function of clothing. OhR is more sensitive to clothing insulation during the day and to the metabolic rate at night. From these results, it appears that when exposed to high-temperature thermal environments in summer, wearing highly insulated clothing and getting enough rest (to lower the metabolic rate) can aid in preventing heat-related illnesses. Moreover, in the case of high-intensity harbor work, quantification of allowed working time (OhR) during heat waves is significant for human health sciences.
겨울철 강설 관측을 위한 강수량계 가열 시스템 운영 조건 선정에 관한 연구
김병택,황성은,이영태,김민후,황현준,인소라,윤진아,김기훈,Kim, Byeongtaek,Hwang, Sungeun,Lee, Youngtae,Kim, Minhoo,Hwang, Hyunjun,In, Sora,Yun, Jinah,Kim, Kihoon 한국수자원학회 2023 한국수자원학회논문집 Vol.56 No.7
The purpose of this research is to derive the optimal temperature, location, and heating control system for a tipping bucket rain gauge heating system used for observing snowfall during winter. We conducted indoor and outdoor experiments by manufacturing a tipping bucket rain gauge that can be variably controlled for heating at the funnel, exterior, and interior, and indoor and outdoor. The indoor experiments involved using a temperature and humidity chamber to compare the performance and derive the appropriate temperature of the precipitation gauge heating system. Subsequently, the outdoor experiments were carried out at the Cloud Physics Observation Center located in Daeguallyeong, heavy snowfall region, to validate the findings. The analysis result was derived that the heating temperature of the funnel should be set at the 10 to 30℃, while the internal heating temperature should be 70℃. Furthermore, the optimal locations for the heating devices, which aim to minimize measurement delay, were identified as the exterior of the rain gauge, the rim of the funnel, and the vertical surface of the funnel. Our result shows that used as the basis for the operating conditions of precipitation gauge heating systems for solid precipitation measurement in winter.
학술논문 분석을 통한 기상민감질환 선정 및 기상인자와의 관련성 고찰
안혜연 ( Hye Yeon An ),정주희 ( Ju Hee Jeong ),김태희 ( Taehee Kim ),윤진아 ( Jinah Yun ),김현수 ( Hyunsu Kim ),오인보 ( Inbo Oh ),이지호 ( Jiho Lee ),원경미 ( Kyung Mi Won ),이영미 ( Young Mi Lee ),김유근 ( Yoo Keun Kim ) 한국환경과학회 2016 한국환경과학회지 Vol.25 No.6
The effect of weather on disease was investigated based on results reported in academic papers. Weather-sensitive disease was selected by analyzing the frequency distributions of diseases and correlations between diseases and meteorological factors (e.g., temperature, humidity, pressure, and wind speed). Correlations between disease and meteorological factors were most frequently reported for myocardial infarction (MI) (28%) followed by chronic ischemic heart disease (CHR) (12%), stroke (STR) (10%), and angina pectoris (ANG) (5%). These four diseases had significant correlations with temperature (meaningful correlation for MI and negative correlations for CHR, STR, and ANG). Selecting MI, as a representative weather-sensitive disease, and summarizing the quantitative correlations with meteorological factors revealed that, daily hospital admissions for MI increased approximately 1.7%-2.2% with each 1℃ decrease in physiologically equivalent temperature. On the days when MI occurred in three or more patients larger daily temperature ranges (2.3℃ increase) were reported compared with the days when MI occurred in fewer than three patients. In addition, variations in pressure (10 mbar, 1016 mbar standard) and relative humidity (10%) contributed to an 11%-12% increase in deaths from MI and an approximately 10% increase in the incidence of MI, respectively.