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Thermal indices for human biometeorology based on Python
Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These therm...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682407/ https://www.ncbi.nlm.nih.gov/pubmed/38012250 http://dx.doi.org/10.1038/s41598-023-47388-y |
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author | Chen, Yung-Chang |
author_facet | Chen, Yung-Chang |
author_sort | Chen, Yung-Chang |
collection | PubMed |
description | Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These thermal indices are built on complicated numeric models. RayMan was developed to calculate thermal indices based on Delphi program language on the Windows 7 operating system. RayMan is not currently under active maintenance or development. Thus, this report describes the development of an innovative Python library named biometeo that includes an innovative thermal index (modified Physiologically Equivalent Temperature) as a next generation program to calculate thermal indices and human biometeorological variables. |
format | Online Article Text |
id | pubmed-10682407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106824072023-11-30 Thermal indices for human biometeorology based on Python Chen, Yung-Chang Sci Rep Article Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These thermal indices are built on complicated numeric models. RayMan was developed to calculate thermal indices based on Delphi program language on the Windows 7 operating system. RayMan is not currently under active maintenance or development. Thus, this report describes the development of an innovative Python library named biometeo that includes an innovative thermal index (modified Physiologically Equivalent Temperature) as a next generation program to calculate thermal indices and human biometeorological variables. Nature Publishing Group UK 2023-11-27 /pmc/articles/PMC10682407/ /pubmed/38012250 http://dx.doi.org/10.1038/s41598-023-47388-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Yung-Chang Thermal indices for human biometeorology based on Python |
title | Thermal indices for human biometeorology based on Python |
title_full | Thermal indices for human biometeorology based on Python |
title_fullStr | Thermal indices for human biometeorology based on Python |
title_full_unstemmed | Thermal indices for human biometeorology based on Python |
title_short | Thermal indices for human biometeorology based on Python |
title_sort | thermal indices for human biometeorology based on python |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682407/ https://www.ncbi.nlm.nih.gov/pubmed/38012250 http://dx.doi.org/10.1038/s41598-023-47388-y |
work_keys_str_mv | AT chenyungchang thermalindicesforhumanbiometeorologybasedonpython |