IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i18p8506-d1755198.html
   My bibliography  Save this article

Analysis of the Summer Sea Breeze Cooling Capacity on Coastal Cities Based on Computer Fluid Dynamics

Author

Listed:
  • Shiyi Peng

    (School of Architectural Engineering, Tongling University, Tongling 244061, China)

  • Hironori Watanabe

    (Department of Architecture, Faculty of Architecture, Tohoku Institute of Technology, Sendai 982-8577, Miyagi, Japan)

Abstract

Summer sea breezes provide cooling in coastal cities; however, their temporal cooling distribution and inland penetration distance remain inadequately studied. This study employed the mesoscale Weather Research and Forecasting (WRF) model to analyze the sea breeze cooling capacity (SBCC) in detail. The results identified the distance from the coast, cooling timing, and proximity to inland rivers as key factors influencing the SBCC. The cooling range and intensity of sea breezes exhibited a temporal pattern, initially increasing and then decreasing, with the rate of increase significantly exceeding the decline. The maximum cooling range (277.44 km 2 ) and strongest cooling intensity (37,989.61 °C.h) occurred at 10:00. Between 11:00 and 14:00, the cooling effect remained stable over its longest inland distance (16.2 km). The SBCC intensified notably closer to the coastline. Furthermore, inland rivers significantly enhanced the cooling effect, with the sea breeze penetration distance correlating positively with the proximity to these rivers. A detailed analysis of the SBCC’s spatial extent and cooling distance provides a crucial basis for effectively mitigating urban heat in coastal cities.

Suggested Citation

  • Shiyi Peng & Hironori Watanabe, 2025. "Analysis of the Summer Sea Breeze Cooling Capacity on Coastal Cities Based on Computer Fluid Dynamics," Sustainability, MDPI, vol. 17(18), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8506-:d:1755198
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/18/8506/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/18/8506/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8506-:d:1755198. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.