2014~2025年呼和浩特市污染物浓度与气象因子关系

Relationship between Pollutant Concentrations and Meteorological Factors in Hohhot from 2014 to 2025

摘要: 当前我国城市空气污染治理与环境监测工作亟需科学量化污染物浓度与气象因子的内在关系。本文以2014~2025年呼和浩特市污染物PM2.5、PM10、O₃浓度与气象因子的实际环境监测数据为基础，构建多元线性回归模型，对二者的定量关系开展研究。结果表明，温度、相对湿度、风速、气压等气象因子对污染物PM2.5、PM10和O₃的浓度具有显著影响，不同气象因子与污染物之间存在稳定的线性相关关系，且气象条件的季节变化与空间差异会导致影响强度存在明显区别。该研究方法可为空气质量预测、监测数据校准及污染防控决策提供量化依据与方法支撑，对提升城市环境管理水平具有一定的现实意义。

Abstract: Against the background of urban air pollution control and environmental monitoring in China, it is urgent to scientifically quantify the relationship between pollutant concentration and meteorological factors. Based on actual environmental monitoring data of PM_2.5, PM₁₀, O₃ and meteorological factors in Hohhot from 2014 to 2025, we establish a multiple linear regression model to study their quantitative correlation. It turns out that temperature, relative humidity, wind speed, air pressure and other meteorological factors have significant impacts on the concentration of pollutants such as PM_2.5, PM₁₀ and O₃. There exists a stable linear correlation between different meteorological factors and pollutants, and the influence intensity varies obviously with seasonal changes and spatial differences of meteorological conditions. It can provide quantitative basis and methodological support for air quality prediction, monitoring data calibration and pollution prevention decision-making, and has practical significance for improving urban environmental management.