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基于 Python 的人体生物气象学热指数。

Thermal indices for human biometeorology based on Python.

机构信息

Research Center for Environmental Changes, Academia Sinica, RCEC Building, 128 Academia Road, Section 2, Nankang, Taipei, 115201, Taiwan.

出版信息

Sci Rep. 2023 Nov 27;13(1):20825. doi: 10.1038/s41598-023-47388-y.

Abstract

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.

摘要

热指数,如预测平均投票、室外标准有效温度、生理等效温度和通用热气候指数,对于热感觉的评估、气候敏感型建筑或城市区域的设计以及旅游都至关重要。这些热指数是基于复杂的数值模型构建的。RayMan 是为了在 Windows 7 操作系统上的 Delphi 编程语言基础上计算热指数而开发的。RayMan 目前没有得到积极的维护或开发。因此,本报告介绍了一种名为 biometeo 的创新 Python 库的开发,该库包含了一种创新的热指数(改良的生理等效温度),作为下一代程序来计算热指数和人类生物气象变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1647/10682407/6b668db06faa/41598_2023_47388_Fig1_HTML.jpg

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