Literature DB >> 31234133

The application of a high-density street-level air temperature observation network (HiSAN): The relationship between air temperature, urban development, and geographic features.

Yu-Cheng Chen1, Yu-Jie Liao1, Chun-Kuei Yao1, Tsuyoshi Honjo2, Chi-Kuei Wang3, Tzu-Ping Lin4.   

Abstract

The urban heat island effect in cities has become an important problem in relation to not only urban climate but also public health and urban planning. Tainan, which located in Southern Taiwan, is a compact city with intense development. Therefore, this study investigated the urban thermal condition by employing a high-density street-level air temperature observation network (HiSAN). A total of 100 measurement points were set in various urban development areas. The geographic factors in Tainan can be used for indicating the relationship between thermal conditions and urban built environments to comprehensively compare the approaches, such as conducting traverse measurement and utilizing only a single datum or a small amount of weather station data. Buffer zone analysis was used in this study for zones of different sizes, and it was determined that a 300-m scale is optimal to illustrate the effects of land features on microclimate. The results revealed that the thermal condition in Tainan is influenced by urban development factors, such as the floor area and land cover area, and by geographic factors, such as the distance to the sea. A better cooling effect can be obtained from a vegetation area during the night time and from a water body during the daytime. Moreover, different cooling effects are observed based on the distance to the sea. Through these results, a model for predicting the thermal condition for different periods can be established using a multiple regression model. Urban planners and architects can proffer design and planning suggestions for different areas based on the findings of this study to reduce thermal stress in urban areas.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  Observations network; Tainan; Thermal condition; Urban Heat Island; Urban development factor

Year:  2019        PMID: 31234133     DOI: 10.1016/j.scitotenv.2019.06.066

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  A Weather Forecast Model Accuracy Analysis and ECMWF Enhancement Proposal by Neural Network.

Authors:  Jaroslav Frnda; Marek Durica; Jan Nedoma; Stanislav Zabka; Radek Martinek; Michal Kostelansky
Journal:  Sensors (Basel)       Date:  2019-11-24       Impact factor: 3.576

2.  A citizen centred urban network for weather and air quality in Australian schools.

Authors:  Giulia Ulpiani; Melissa Anne Hart; Giovanni Di Virgilio; Angela M Maharaj; Mathew J Lipson; Julia Potgieter
Journal:  Sci Data       Date:  2022-03-30       Impact factor: 6.444

3.  Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China.

Authors:  Kai Xin; Jingyuan Zhao; Tianhui Wang; Weijun Gao
Journal:  Int J Environ Res Public Health       Date:  2022-07-07       Impact factor: 4.614

  3 in total

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