Influence of urban surface compositions on outdoor thermal environmental parameters on an urban road: A combined two-aspect analysis

被引:4
|
作者
Zhou, Hongxuan [1 ]
Xu, Chen [1 ]
Pu, Hongtong [1 ]
Nie, Yanxia [1 ]
Sun, Jing [1 ]
机构
[1] China Univ Min & Technol, Sch Architecture & Design, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Urban heat-island effect; Urban microclimate; Visual index; Land cover; Threshold value of efficiency; SegNet; HEAT-ISLAND; TEMPORAL VARIATIONS; GREEN SPACE; TEMPERATURE; IMPACT; CITY; CONFIGURATION; BUILDINGS; SHANGHAI; PHOENIX;
D O I
10.1016/j.scs.2022.104376
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The summer outdoor thermal environment is gradually deteriorating in most cities in low and middle latitudes under global warming, threatening human health and life. This study was conducted to improve this situation, in which urban surface compositions were seen as the main influencing factors at vertical and horizontal levels. Results showed urban surface compositions affected the outdoor thermal environment at both levels. CVI and GVI were the key vertical factors, while NDBI and NDVI were the crucial horizontal ones. More importantly, synergies on the outdoor thermal environment between the two levels were found, and they were higher than any single level; the sums of the independent effects were 27.05% and 64.21%, and the synergetic explanatory powers were 9.10% and 34.37% for air temperature and humidity, respectively. The potential reason for the synergy between the two levels was attributed to their correlation, especially for the CVI and GVI to the NDBI and NDVI. The TVoEs of the CVI and GVI were 0.31 and 0.17, respectively, regulating air temperature at the vertical level, and the TVoE of the NDVI was 0.33, coordinating humidity at the horizontal level. These results provide scientific evidence and data support for urban planning and landscape design.
引用
收藏
页数:13
相关论文
共 11 条
  • [1] Design of three outdoor combined thermal comfort prediction models based on urban and environmental parameters
    Pompei, Laura
    Nardecchia, Fabio
    Gugliermetti, Luca
    Cinquepalmi, Federico
    ENERGY AND BUILDINGS, 2024, 306
  • [2] Nocturnal influencing patterns on outdoor thermal environmental parameters along an urban road in summer: A perspective of visual index
    Zhou, Hongxuan
    Nie, Yanxia
    Zhou, Fenglin
    Wang, Wenzhen
    Sun, Jing
    URBAN CLIMATE, 2023, 49
  • [3] Urban environmental sustainability: analysis of the influence of vegetation in environmental parameters
    Sousa Bordim, Meiry Helen
    Longo, Regina Marcia
    Bordim, Bruno Sousa
    REVISTA DE GESTAO AMBIENTAL E SUSTENTABILIDADE-GEAS, 2022, 11 (01):
  • [4] The influence of perceived environmental quality on thermal comfort in an outdoor urban environment during hot summer
    Lau, Kevin Ka-Lun
    Choi, Chun Yin
    CARBON-NEUTRAL CITIES - ENERGY EFFICIENCY AND RENEWABLES IN THE DIGITAL ERA (CISBAT 2021), 2021, 2042
  • [5] Development of support tool for outdoor thermal environmental design of urban/building using numerical analysis
    Nakaohkubo, Kazuaki
    Hoyano, Akira
    Asawa, Takashi
    BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, 2007, : 1813 - +
  • [6] Analysis on Spatiotemporal Variation of Urban Impervious Surface and Its Influence on Urban Thermal Environment: Fuzhou City, China
    Wang M.
    Xu H.
    Li X.
    Lin Z.
    Zhang B.
    Fu W.
    Tang F.
    Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 2018, 26 (06): : 1316 - 1326
  • [7] POTENTIAL INFLUENCE OF URBAN SPRAWL AND CHANGING LAND SURFACE TEMPERATURE ON OUTDOOR THERMAL COMFORT IN LAGOS STATE, NIGERIA
    Obiefuna, Jerry N.
    Okolie, Chukwuma J.
    Nwilo, Peter C.
    Daramola, Olagoke E.
    Isiofia, Lawrence C.
    QUAESTIONES GEOGRAPHICAE, 2021, 40 (01) : 5 - 23
  • [8] Analysis of outdoor thermal comfort and air pollution under the influence of urban morphology in cold-climate cities: Erzurum/Turkey
    Yilmaz, Sevgi
    Sezen, Isik
    Irmak, Mehmet Akif
    Kulekci, Elif Akpinar
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (45) : 64068 - 64083
  • [9] Predicting land surface temperature using data-driven approaches for urban heat island studies: a comparative analysis of correlation with environmental parameters
    Ajay Badugu
    K. S. Arunab
    Aneesh Mathew
    Modeling Earth Systems and Environment, 2024, 10 : 1043 - 1076
  • [10] Predicting land surface temperature using data-driven approaches for urban heat island studies: a comparative analysis of correlation with environmental parameters
    Badugu, Ajay
    Arunab, K. S.
    Mathew, Aneesh
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2024, 10 (01) : 1043 - 1076