Effect of greening vacant houses on improvement in thermal environment using ENVI-met simulation: A case study on Busan metropolitan city

Abstract

This study aimed to analyze the improvement in outdoor thermal environment by greening of persistently vacant housing and open areas in a densely built old downtown area of Busan Metropolitan City using ENVI-met. Simulation was performed for a summer day by constructing four scenarios for four areas considering the building density and slope direction. The results indicate that compared to the current scenario, the concrete scenario had the worst thermal environment, where the average temperature, mean radiant temperature (MRT), and physiological equivalent temperature (PET) increased by 0.04°C, 1.49°C, and 0.51°C, respectively. In contrast, the tree scenario exhibited the most significant improvement. The average temperature, MRT, and PET decreased by 0.03°C, 1.66°C, and 0.65°C, respectively. Moreover, the removal of vacant houses in dense residential areas improved ventilation, and PET decreased by approximately 8°C locally. Planting trees higher than the demolished vacant houses mitigated the thermal environment considerably. The effect of greening was the strongest in the residential areas located on the south-facing slope with the worst thermal environment. This study provides essential data for implementing greening as a smart reduction strategy in the sustainable management of vacant houses.

Keywords

ENVI-met greening heat environment old downtown persistently vacant housing

Get full access to this article

View all access options for this article.

References

Höppe

(1999) The physiological equivalent temperature: a universal index for the biometeorological assessment of the thermal environment. International Journal of Biometeorology 43(2): 71–75. DOI: 10.1007/s004840050118.

Hwang

(2020) Analysis of spatial distribution characteristics and greening reduction effects of urban heat island and urban pollution island: focused on Busan metropolitan city. Master’s Thesis, Pusan National University, Busan, South Korea.

IPCC (2022) IPCC sixth assessment report. Working Group III: Mitigation of Climate Change. Retrieved from. https://www.ipcc.ch/report/ar6/wg3/.

Jamei

Seyedmahmoudian

Jamei

, et al. (2022) Investigating the relationship between land use/land cover change and land surface temperature using google earth engine; case study: Melbourne, Australia. Sustainability 14(22): 14868. DOI: 10.3390/su142214868.

Jang

Kim

Lee

(2022) Planning scenarios and microclimatic effects: the case of high-density riverside residential districts in Seoul, South Korea. Building and Environment 223: 109517. DOI: 10.1016/j.buildenv.2022.109517.

Kagiya

Ashie

Masuda

, et al. (2010) Experimental study on the effect of large urban redevelopment on thermal environment. Journal of Environmental Engineering 75(649): 305–312. DOI: 10.3130/aije.75.305.

Kamata

Kang

(2021) A study on the occurrence, persistence, and reuse of vacant houses in deteriorated high-density residential areas of old downtowns of large cities: focused on Ami-dong and Chojang-dong in Busan. Journal of Korea Planning Association 56(7): 73–86. DOI: 10.17208/jkpa.2021.12.56.7.73.

Lee

(2021) The impacts of creation of small green areas within urban regeneration projects on the formation of wind paths and the thermal environment: focused on Indongchon, one of the urban regeneration and revitalization areas in Daegu. KIEAE Journal 21(5): 91–100. DOI: 10.9715/KILA.2015.43.4.037.

Lee

Mayer

Chen

(2016) Contribution of trees and grasslands to the mitigation of human heat stress in a residential district of Freiburg, Southwest Germany. Landscape and Urban Planning 148: 37–50. DOI: 10.1016/j.landurbplan.2015.12.004.

10.

Lindberg

Holmer

Thorsson

(2008) SOLWEIG 1.0 - modelling spatial variations of 3D radiant fluxes and mean radiant temperature in complex urban settings. International Journal of Biometeorology 52(7): 697–713. DOI: 10.1007/s00484-008-0162-7.

11.

Matzarakis

Mayer

(1996) Another kind of environmental stress: thermal stress. WHO Collaborating Centre for Air Quality Management and Air Pollution Control 18: 7–10.

12.

Matzarakis

Rutz

Mayer

(2010) Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. International Journal of Biometeorology 54(2): 131–139. DOI: 10.1007/s00484-009-0261-0.

13.

Ministry of Land, Infrastructure and Transport (2019) Fifth National Land Use Plan of Korea. (5th Plan).

14.

Moriyama

Kono

Yoshida

, et al. (2001) Data analysis on ‘cool spot’ effect of green canopy in urban areas. Journal of Architecture and Planning 66(541): 49–56. DOI: 10.3130/aija.66.49_1.

15.

Yuan

Chen

, et al. (2011) Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: a study in Hong Kong. Landscape and Urban Planning 101(1): 59–74. DOI: 10.1016/j.landurbplan.2011.01.004.

16.

Noh

Yoo

(2016) A study on the cause of abandoned vacant houses. Korea Real Estate Review 26(2): 7–21. https://journal.kci.go.kr/krer

17.

Ohashi

Noda

(2016) Thermal comfort evaluations of urban green road during summer season: rinko green avenue in Okayama City. Naturalistae 20: 19–28. https://ous.repo.nii.ac.jp/?action=repository_action_common_download&item_id=3330&item_no=1&attribute_id=18&file_no=1

18.

Piselli

Castaldo

Pigliautile

, et al. (2018) Outdoor comfort conditions in urban areas: on citizens’ perspective about microclimate mitigation of urban transit areas. Sustainable Cities and Society 39: 16–36. DOI: 10.1016/j.scs.2018.02.004.

19.

Qiu

Zou

, et al. (2017) Experimental studies on the effects of green space and evapotranspiration on urban heat island in a subtropical megacity in China. Habitat International 68: 30–42. DOI: 10.1016/j.habitatint.2017.07.009.

20.

Shu

Hioki

(2011) Comparison of thermal environment improvement effect for parking lots between different types of greening. Journal of the Japanese Society of Revegetation Technology 37(2): 318–329. DOI: 10.7211/jjsrt.37.318.

21.

Walton

Dravitzki

Donn

(2007) The relative influence of wind, sunlight and temperature on user comfort in urban outdoor spaces. Building and Environment 42(9): 3166–3175. DOI: 10.1016/j.buildenv.2006.08.004.

22.

Wang

Myint

Wang

, et al. (2016) Spatio-temporal modeling of the urban heat island in the Phoenix metropolitan area: land use change implications. Remote Sensing 8(3): 185. DOI: 10.3390/rs8030185.

23.

Wang

Yang

(2018) Cooling effect of urban trees on the built environment of contiguous United States. Earth’s Future 6(8): 1066–1081. DOI: 10.1029/2018EF000891.

24.

Chang

Yoon

(2022) Numerical study on microclimate and outdoor thermal comfort of street canyon typology in extremely hot weather: a case study of Busan, South Korea. Atmosphere 13(2): 307. DOI: 10.3390/atmos13020307.

Supplementary Material

Please find the following supplemental material available below.

For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.

For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.

0.00 MB

0.47 MB