Barometric Pressure at High Altitude: Revisiting West's Prediction Equation, and More.

IF 1.6 4区 医学 Q4 BIOPHYSICS High altitude medicine & biology Pub Date : 2023-06-01 DOI:10.1089/ham.2022.0049
Chandrashekhar V Apte
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Abstract

Apte, Chandrashekhar V. Barometric pressure at high altitude: revisiting West's prediction equation, and more. High Alt Med Biol. 24:85-93, 2023. Introduction: Since an earlier prediction equation to calculate barometric pressure at a given altitude had been tested against limited barometric pressure observations, its accuracy needed to be re-validated against additional pressure observations. Methods: Five-year (2016-2020) barometric pressure and altitude data were downloaded from an open-source website for 25 select locations. The calculated predicted pressure was compared with mean 5-year, mean monthly, and mean daily pressures. Percent prediction error and root mean square errors were used to assess accuracy of the prediction equation. Results: The original prediction equation was accurate to within 1% for locations only within 22° latitude. It was increasingly inaccurate at higher latitudes and also for means based on shorter time spans (e.g., mean monthly and daily pressures). A new prediction equation was proposed by developing a model using downloaded data. The new equation resulted in more accurate predictions for all latitudes and all time spans. The new equation also performed well when tested at seven new locations. Conclusions: Ideally, medical professionals at high altitude should rely on actual barometric pressure observations to assess hypoxic risk. In the absence of actual measurements, the suggested new prediction equation may be used to estimate, with some limitations, the ambient barometric pressure at latitudes below 47° and altitudes up to about 4,700 m.

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高空气压:重新审视韦斯特的预测方程,以及更多。
高空气压:重访韦斯特的预测方程式,以及更多。中国生物医学工程学报,24(4):444 - 444。导言:由于先前计算给定高度气压的预测方程已经在有限的气压观测数据中进行了测试,因此需要根据额外的气压观测数据重新验证其准确性。方法:从开源网站下载25个地点的5年(2016-2020年)气压和海拔数据。将计算出的预测压力与5年、月、日平均压力进行比较。采用预测误差百分比和均方根误差评价预测方程的准确性。结果:原始预测方程仅在22°纬度范围内的位置精度在1%以内。在高纬度地区以及基于较短时间跨度的平均值(例如,月平均和日平均压力),这种方法越来越不准确。利用下载数据建立模型,提出了一种新的预测方程。新的方程对所有纬度和所有时间跨度的预测都更加准确。当在七个新的地点测试时,新方程也表现良好。结论:理想情况下,医疗专业人员在高海拔地区应依靠实际气压观测来评估缺氧风险。在没有实际测量的情况下,建议的新预测方程可用于估计纬度低于47°和海拔高达约4700 m的环境气压,但有一定的局限性。
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来源期刊
High altitude medicine & biology
High altitude medicine & biology 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.80
自引率
9.50%
发文量
44
审稿时长
>12 weeks
期刊介绍: High Altitude Medicine & Biology is the only peer-reviewed journal covering the medical and biological issues that impact human life at high altitudes. The Journal delivers critical findings on the impact of high altitude on lung and heart disease, appetite and weight loss, pulmonary and cerebral edema, hypertension, dehydration, infertility, and other diseases. It covers the full spectrum of high altitude life sciences from pathology to human and animal ecology.
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