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      KCI등재

      도심의 도로방향에 따른 폭염시 도시 미기후 변화

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      https://www.riss.kr/link?id=A108110684

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      다국어 초록 (Multilingual Abstract)

      Cities are an important source of greenhouse gas emissions, extremely vulnerable to the impact of climate change, and are a key place to deal with climate. Street, as one of the most basic and important space of urban functions and daily life, is a main component of city master plan related to organic activities. The purpose of this study is to analyze street microclimate environment and thermal comfort environment using ENVI-met program(V4.4.6 Summer 21), through changing street direction including North-South(N-S), Northeast-Southwest(NE-SW), East-West(E-W) and Southeast-Northwest(SE-NW) based on field measurement results. The results of this study were as follows: Mutual shading from adjacent buildings have a greater impact on outdoor thermal environment especially in day time. At 13:00, the values of air temperature, mean radiant temperature, wind speed and comfort index in N-S and NE-SW street are greater than other two directions due to a lack of shading area. In addition, mean radiant temperature and comfort index of E-W street are more sensitive after sunrise and before sunset, but it shows less obvious on air temperature and wind speed. All of streets are "Very hot" level from 10:00 to 16:00, time duration of E-W street is longer than other three directions, and the highest mean radiant temperature and comfort index of NE-SW street are appeared at 14:00 that one hour later than other three directions. Shading of trees for microclimate environment is weaker than mutual shading from buildings. It is recommended that the main streets are more consistent with the prevailing wind direction in planning of new city.
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      Cities are an important source of greenhouse gas emissions, extremely vulnerable to the impact of climate change, and are a key place to deal with climate. Street, as one of the most basic and important space of urban functions and daily life, is a ma...

      Cities are an important source of greenhouse gas emissions, extremely vulnerable to the impact of climate change, and are a key place to deal with climate. Street, as one of the most basic and important space of urban functions and daily life, is a main component of city master plan related to organic activities. The purpose of this study is to analyze street microclimate environment and thermal comfort environment using ENVI-met program(V4.4.6 Summer 21), through changing street direction including North-South(N-S), Northeast-Southwest(NE-SW), East-West(E-W) and Southeast-Northwest(SE-NW) based on field measurement results. The results of this study were as follows: Mutual shading from adjacent buildings have a greater impact on outdoor thermal environment especially in day time. At 13:00, the values of air temperature, mean radiant temperature, wind speed and comfort index in N-S and NE-SW street are greater than other two directions due to a lack of shading area. In addition, mean radiant temperature and comfort index of E-W street are more sensitive after sunrise and before sunset, but it shows less obvious on air temperature and wind speed. All of streets are "Very hot" level from 10:00 to 16:00, time duration of E-W street is longer than other three directions, and the highest mean radiant temperature and comfort index of NE-SW street are appeared at 14:00 that one hour later than other three directions. Shading of trees for microclimate environment is weaker than mutual shading from buildings. It is recommended that the main streets are more consistent with the prevailing wind direction in planning of new city.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 1.1 연구배경 및 목적
      • 1.2 연구 방법
      • 2. 기존연구동향 고찰
      • Abstract
      • 1. 서론
      • 1.1 연구배경 및 목적
      • 1.2 연구 방법
      • 2. 기존연구동향 고찰
      • 3. 대상지 조사 및 시뮬레이션 설정
      • 3.1 연구 대상지 조사
      • 3.2 기본 모델 설정
      • 3.3 시뮬레이션 입력 기상데이터
      • 3.4 쾌적성 지표에 대한 입력변수 개요
      • 4. 시뮬레이션 결과
      • 4.1 13시의 미기후 요소 및 쾌적성 분석
      • 4.2 미기후 요소 및 쾌적성 평균값의 일변화 분석
      • 5. 결론
      • REFERENCES
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      참고문헌 (Reference)

      1 윤재옥, "한국 29개 주요 도시의 풍향, 풍속 및 바람특성 비교 연구" 대한건축학회 19 (19): 2003

      2 차수연 ; 오규식, "도시 주거공간 내 가로협곡의 기하학적 특성이 열쾌적성에 미치는 영향" 대한건축학회 36 (36): 187-198, 2020

      3 우현민, "가로공간의 보행환경 개선을 위한 통합디자인 방안에 관한 연구" 한국공간디자인학회 15 (15): 107-120, 2020

      4 "https://sdgs.un.org"

      5 Kim, H, "Transformation of Urban Heat Island in the Three-Center City of Seoul, South Korea : The Role of Master Plans" 86 : 328-338, 2019

      6 Sodoudi, S, "The Influence of Spatial Configuration of Green Areas on Microclimate and Thermal Comfort" 34 : 85-96, 2018

      7 Li, G, "Sky View Factor-Based Correlation of Landscape Morphology and the Thermal Environment of Street Canyons : A Case Study of Harbin, China" 169 : 106587-, 2020

      8 Wang, Y, "Landscape Modification for Ambient Environmental Improvement in Central Business Districts-A Case from Beijing" 14 : 8-18, 2015

      9 Huang, K. T, "Impact of Street Canyon Typology on Building’s Peak Cooling Energy Demand : A Parametric Analysis Using Orthogonal Experiment" 154 : 448-464, 2017

      10 Huttner, S, "Further Development and Application of the 3D Microclimate Simulation ENVI-met" Johannes Gutenberg-Universität Mainz 2012

      1 윤재옥, "한국 29개 주요 도시의 풍향, 풍속 및 바람특성 비교 연구" 대한건축학회 19 (19): 2003

      2 차수연 ; 오규식, "도시 주거공간 내 가로협곡의 기하학적 특성이 열쾌적성에 미치는 영향" 대한건축학회 36 (36): 187-198, 2020

      3 우현민, "가로공간의 보행환경 개선을 위한 통합디자인 방안에 관한 연구" 한국공간디자인학회 15 (15): 107-120, 2020

      4 "https://sdgs.un.org"

      5 Kim, H, "Transformation of Urban Heat Island in the Three-Center City of Seoul, South Korea : The Role of Master Plans" 86 : 328-338, 2019

      6 Sodoudi, S, "The Influence of Spatial Configuration of Green Areas on Microclimate and Thermal Comfort" 34 : 85-96, 2018

      7 Li, G, "Sky View Factor-Based Correlation of Landscape Morphology and the Thermal Environment of Street Canyons : A Case Study of Harbin, China" 169 : 106587-, 2020

      8 Wang, Y, "Landscape Modification for Ambient Environmental Improvement in Central Business Districts-A Case from Beijing" 14 : 8-18, 2015

      9 Huang, K. T, "Impact of Street Canyon Typology on Building’s Peak Cooling Energy Demand : A Parametric Analysis Using Orthogonal Experiment" 154 : 448-464, 2017

      10 Huttner, S, "Further Development and Application of the 3D Microclimate Simulation ENVI-met" Johannes Gutenberg-Universität Mainz 2012

      11 Fischereit, J, "Evaluation of Thermal Indices for Their Applicability in Obstacle-Resolving Meteorology Models" 62 : 1887-1900, 2018

      12 Cheela, V. R. S, "Combating Urban Heat Island Effect-A Review of Reflective Pavements and Tree Shading Strategies" 11 : 93-, 2021

      13 Matzarakis, A., "Another Kind of Environmental Stress: Thermal Stress" 18 : 7-10, 1996

      14 Tsoka, S, "Analyzing the ENVI-met Microclimate Model’s Performance and Assessing Cool Materials and Urban Vegetation Applications–A Review" 43 : 55-76, 2018

      15 Lee, S, "Analyzing Thermal Characteristics of Urban Streets Using a Thermal Imaging Camera : A Case Study on Commercial Streets in Seoul, Korea" 10 : 519-, 2018

      16 Kim, Y, "Analysis of Thermal Environment over a Small-Scale Landscape in a Densely Built-Up Asian Megacity" 8 : 358-376, 2016

      17 Huang, J. M, "A Numerical Study on Mitigation Strategies of Urban Heat Islands in a Tropical Megacity : A Case Study in Kaohsiung City, Taiwan" 12 : 3952-, 2020

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2013-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2011-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2008-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2007-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2005-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.29 0.29 0.29
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.27 0.25 0.534 0.09
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