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DOI: | 10.1016/j.landurbplan.2021.104276 |
Web URL(s): | https://www.sciencedirect.com/science/article/pii/S0169204621002395 Last checked: 05/04/2022 https://www.sciencedirect.com/science/article/pii/S0169204621002395/pdfft?md5=a37f069185c0d6e17e875a65553ef663&pid=1-s2.0-S0169204621002395-main.pdf Last checked: 05/04/2022 Requires: PDF Reader |
Publication Type:
| Report |
Author(s): | Shi, Yuan;
Jim, C. Y. |
Author Affiliation: | Shi: Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China; Jim: Department of Social Sciences, Education University of Hong Kong, Hong Kong, China |
Title: | Developing a thermal suitability index to assess artificial turf application for various site-weather and user-activity scenarios |
Section: | Research papers Other records with the "Research papers" Section
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Source: | Landscape and Urban Planning. Vol. 217, January 2022, p. 104276 [1-10]. |
Publishing Information: | Amsterdam, The Netherlands: Elsevier |
# of Pages: | 10 |
Keywords: | Author-Supplied Keywords: Natural and artificial turf; Thermal comfort; Modified physiological equivalent temperature; User activity; Thermal suitabilty index; Turf design and application
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Abstract/Contents: | "Lawns are highly recognized and indispensable elements in the urban landscape. Due to water-saving, low maintenance cost, and avoided health-environmental impacts of agrochemical usage, artificial turf (AT) has increasingly replaced some natural turf (NT) sports fields and recreational lawns. It remains controversial whether AT is a healthy alternative to NT. We asked the research question, Where and for whom the AT is (or isn't) suitable regarding user thermal sensation partaking various activities? We established a field experiment at adjoining AT and NT fields in humid-tropical Hong Kong. Detailed microclimatic data were recorded under sunny, cloudy and overcast weather conditions to calculate the modified physiological equivalent temperature (mPET) as a thermal comfort index. Activities covering a range of metabolic rates were selected to evaluate user thermal sensation. AT experienced considerably raised ground surface temperatures on sunny days with a consequential increase in near-ground ambient air temperatures and the environs. The inter-turf temperature difference was somewhat subdued under cloudy and overcast weather. A regression model allowed the successful development of a nine-point thermal suitability index (TSI) to assess AT applications and provide a simple rule-of-thumb for design practice. To avoid undue heat stress, AT use can only be recommended for certain site-weather and user-activity scenarios. The TSI can be applied to other climatic zones by gleaning on-site microclimatic data and enlisting the proposed regression-modelling method. A comprehensive AT assessment scheme can be developed by incorporating the TSI to inform future AT installation and use decisions." |
Language: | English |
References: | 62 |
Note: | Pictures, color Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Shi, Y., and C. Y. Jim. 2022. Developing a thermal suitability index to assess artificial turf application for various site-weather and user-activity scenarios. Landscape Urban Plan. 217:p. 104276 [1-10]. |
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| DOI: 10.1016/j.landurbplan.2021.104276 |
| Web URL(s): https://www.sciencedirect.com/science/article/pii/S0169204621002395 Last checked: 05/04/2022 https://www.sciencedirect.com/science/article/pii/S0169204621002395/pdfft?md5=a37f069185c0d6e17e875a65553ef663&pid=1-s2.0-S0169204621002395-main.pdf Last checked: 05/04/2022 Requires: PDF Reader |
| MSU catalog number: b2322641 |
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