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拉萨市近49年低层大气中氧气含量的变化特征分析

Analysis of variation characteristics of oxygen content in Lhasa for recent 49 years
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摘要 进入高原的人们都会不同程度地受到高原缺氧的影响,氧气在生物循环过程中起着至关重要的作用.基于拉萨市1970至2018年的气象观测资料,对对流层中的空气进行干燥处理,并假定各分子之间处于平衡态,根据氧气分子数密度和氧气分压,运用理想气体的物态方程推算出日平均氧气含量,并对其进行小波分析.结果显示:拉萨市氧气含量存在季节性变化规律和特征,氧气含量夏季明显低于冬季,氧气含量受温度影响较大,水汽压影响次之,在周期性上与气温变化大致接近.通过对氧气含量的趋势分析,得出氧气含量将会呈下降趋势;并利用多个物理数学模型对拉萨市未来氧气含量的变化进行了探讨,发现Gaussian模型在一定程度上能够起到预测的作用,但是随着时间延伸,误差率会逐渐变大,短时间内有效. People who enter the plateau has been also influenced by the hypoxia to some extent,oxygen plays an absolutely vital role in the global biochemical cycle.Based on the meteorological observation data from 1970 to 2018 in Lhasa,it was supposed that the air in the troposphere was dry and the molecules were in equilibrium.According to the density of oxygen molecules and the oxygen tension,using the equation of state for an ideal gas,the daily mean oxygen content was calculated.The Fourier analysis was needed for fitting the distribution curve.The results showed that there may the seasonal changes for the oxygen content in Lhasa,the oxygen content was greatly affected by the temperature,followed by the vapor pressure,much the same as the atmospheric temperature in the periodical distribution.Perhaps this helps explain the oxygen content is significantly lower in summer than in winter.It was concluded that oxygen content would decrease gradually by analyzing the changing trend of oxygen content.In addition,based on the mathematical model,this paper also made a simple discussion of the variation trend of oxygen content in Lhasa in the future.It was found that the Gaussian model could play a predictive role to some extent,unfortunately the error rate would gradually increase with the extension of time,and be also effective in a short time.
作者 杨兴 廖偲含 鲁同所 高贝贝 YANG Xing;LIAO Sihan;LU Tongsuo;GAO Beibei(Shanghai Institute of Applied Physics, Chinese Academy of Science, Shanghai 201800, China;Department of Physics, Tibet University, Lhasa 850000, China)
出处 《安徽大学学报(自然科学版)》 CAS 北大核心 2021年第3期72-84,共13页 Journal of Anhui University(Natural Science Edition)
基金 国家自然科学基金资助项目(11803024,11747128) 西藏自治区自然科学基金资助项目(XZ2019ZRG-163) 西藏大学教师学历提升博士后计划 西藏大学2019年度和2020度院级教改资助项目。
关键词 拉萨市 氧气分子数密度 氧气含量 青藏高原 相关性分析 小波分析 Gaussian模型 Lhasa density of oxygen oxygen content Tibet Plateau correlation analysis wavelet analysis Gaussian model
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