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Yi, Chaeyeon,Kim, Kyu Rang,An, Seung Man,Choi, Young‐,Jean,Holtmann, Achim,Jä,nicke, Britta,Fehrenbach, Ute,Scherer, Dieter John Wiley Sons, Ltd 2016 International journal of climatology Vol.36 No.2
<P><B>ABSTRACT</B></P><P>The thermal environment in urban areas is substantially influenced by local surface properties and their modification through human activities. The effects of urban climate on human health are one of the motivations for the development of various urban climate analysis tools. Climate Analysis Seoul (CAS) is a tool that incorporates a meso‐scale atmospheric model and conceptual geographic information system (GIS)‐based models to provide gridded air temperature deviations based on high‐resolution land cover information. The CAS output was evaluated using air temperatures observed at 18 automatic weather stations (AWS) located in the detail region (DR) Eunpyeong. Correlation analyses were performed to reveal the influence of different land cover characteristics and CAS output variables on measured air temperature deviations. Based on the results of the correlation analyses in the study region (SR) Seoul, a regression model (total air temperature distribution, TD′) was developed. It predicts spatially distributed air temperatures based on morphological parameters and an observed reference temperature. Using the TD′ model, maps of daily maximum air temperatures were produced for the entire area of Seoul with a horizontal resolution of 25 m, and of 5 m for the DR, the latter allows to assess the impacts of different building and vegetation structures on air temperature by resolving buildings. The TD′ model was evaluated using measurements at eight AWS. The TD′ model slightly overestimated daily maximum air temperatures in 2007 and 2011, but performed better for 2011, mainly because land cover data represent the final state of the urban development. The TD′ model appears to be a suitable tool for estimating air temperature distributions at building‐resolving resolutions. It can be used to assess changes in the thermal environment and heat‐related hazards through urban development plans already ahead of their realization.</P>
여름철 도시 인근 산림에 의한 냉각효과의 정량화에 대한 연구
이호진,조성식,강민석,김준,이훈택,이민수,전지현,이채연,Britta Jänicke,조창범,김규랑,김백조,김현석 한국농림기상학회 2018 한국농림기상학회지 Vol.20 No.1
여름철 도시의 친환경적 기온 저감 방안으로 고려되는 산림에 의한 기온 저감 효과를 정량화 하기 위해 광릉 침⋅활엽수림과 인근 포천시의 도시 지역과의 기온차를 기온, 바람, 일사, 잠열 등의 미기상 인자를 이용하여 분석하였다. 2016년과 2017년의 6, 7, 8월 3개월 동안 산림 상⋅하부와 산림과 도심 지역의 평균 최대 기온차는 각각 -1.9℃, -3.4℃로 17시경에 나타났으며, 침⋅활엽수림 간의 차이는 없었다. 산림에 의한 기온 저감 효과는 14시부터 17시까지 누적된 증발산량, 일사량과 양의 상관관계를 나타냈으며, 풍속과는 음의 상관관계를 나타냈다. 이를 이용해 산림의 기온저감 효과를 정량화하는 모델을 개발하였다. 산림에 의한 야간 기온 저감 효과는 복사냉각으로 인한 찬공기의 생성과 생성된 찬공기가 산지의 하류로 이동하면서 발생하는 기온역전 현상에 의한 것으로 나타났다. 본 연구 결과를 서울시내 28개 AWS를 이용해 검증해 본 결과, 서울시 각 지역 주간의 기온은 식생의 증발산에 영향을 미치는 AWS 주변 식생 면적 및 규모와의 음의 상관관계를, 그리고 야간의 기온은 주변 식생 규모 및 인근 산림의 높이와 유의한 음의 상관관계를 재확인할 수 있었다. 따라서 도시림의 조성과 관리 및 산으로부터 바람길의 조성이 도시 온도 저감에 중요함을 알 수 있다. A variety of micro meteorological variables such as air temperature, wind, solar radiation and latent heat at Gwangneung forests (conifer and broadleaved forests) and AWS (Automated Weather Station) of Pocheon urban area were used to quantify the air temperature reduction effect of forests, which is considered to be an eco-friendly solution for reducing the urban heat island intensity during summer. In June, July and August of 2016 and 2017, the average maximum air temperature differences between above and below canopy of forests, and between the forests and urban areas were -1.9℃ and -3.4℃ respectively, and they occurred at 17:00. However, there was no difference between conifer and broadleaved forests. The effect of air temperature reduction by the forests was positively correlated with accumulated evapotranspiration and solar radiation from 14:00 to 17:00 and showed a negative correlation with wind speed. We have developed a model to quantify the effect of air temperature reduction by forests using these variables. The nighttime air temperature reduction effect by forests was due to the generation of cold air from radiative cooling and the air temperature inversion phenomenon that occurs when the generated cold air moves down the side of mountain. The model was evaluated in Seoul by using 28 AWSs. The evaluation shows that the air temperature of each district in Seoul was negatively correlated with the area and size of the surrounding tall vegetation that drives vegetation evapotranspiration during the day. During the night, however, the size of the surrounding tall vegetation and the elevations of nearby mountains were the main influencing factors on the air temperature. Our research emphasizes the importance of the establishment and management of urban forests and the composition of wind roads from mountains for urban air temperature reduction.
Pharmacokinetic variability due to environmental differences
Nick Holford 대한임상약리학회 2017 Translational and Clinical Pharmacology Vol.25 No.2
This tutorial describes sources of pharmacokinetic variability that are not obviously linked to geneticdifferences. The sources of variability are therefore described as environmental. The majorquantitative sources of environmental variability are body size (including body composition), maturationand organ function. Size should be considered in all patients. Maturation is mainly relevantto neonates and infants less than 2 years of age. Renal function is the most important predictablesource of variability due to differences in organ function.