Outdoor thermal comfort during winter in China's cold regions: A comparative study
Science of The Total Environment, ISSN: 0048-9697, Vol: 768, Page: 144464
2021
- 64Citations
- 77Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations64
- Citation Indexes64
- 64
- CrossRef24
- Captures77
- Readers77
- 77
Article Description
Due to limits to standard methods for surveying outdoor thermal comfort (OTC), it is difficult to compare thermal benchmarks and thermal index calibrations among studies and climatic regions. Using uniform standard meteorological measurements and questionnaire surveys, our study conducted an OTC study in urban parks in Beijing, Xi'an and Hami; representative of cities in China's cold regions. The Universal Thermal Climate Index (UTCI) was used as the thermal comfort index, and differences in residents' thermal perceptions and outdoor thermal benchmarks among these cities were compared. Results showed that: 1) air temperature ( T a ) and globe temperature ( T g ) were two primary factors affecting residents' thermal sensations in the three cities during winter. Residents' thermal sensation in Beijing and Hami was negatively correlated with wind speed ( V a ). Residents in Xi'an and Hami preferred a higher relative humidity ( RH ). Residents in Beijing and Hami preferred a lower V a to improve OTC related to local climatic characteristics. 2) Xi'an residents had the highest neutral UTCI (NUTCI) (17.3 °C), followed by Beijing (17.0 °C) and Hami (6.4 °C). Xi'an residents had slightly wider neutral UTCI range (NUTCIR) (7.9–26.7 °C) compared to Beijing (8.7–25.4 °C), while Hami residents had the narrowest NUTCIR (1.5–11.3 °C). The “no thermal stress” range in the three cities was 6.1–26.0 °C in Beijing, 6.7–25.5 °C in Xi'an, and −2.2–12.2 °C in Hami. 3) Calibrated thermal indices, based on the ASHRAE 7–point scale, were gained to judge the thermal qualities of an environment for all three cities.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S004896972037995X; http://dx.doi.org/10.1016/j.scitotenv.2020.144464; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85099469761&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/33454480; https://linkinghub.elsevier.com/retrieve/pii/S004896972037995X; https://dx.doi.org/10.1016/j.scitotenv.2020.144464
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know