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城市功能区声环境质量与气象条件的相关性研究 被引量:1

Relational Analysis on Acoustic Environment Quality of Urban Functional Areas and Meteorological Conditions
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摘要 基于某城市2019年功能区噪声与气压、气温、湿度、风向、风速数据,采用JMP统计分析中的决策树分析法,研究噪声值与气象五参数的相关性。结果表明温度是影响噪声值的首要因子,其次为风速和气压。在不同温度下,气压和风速对噪声值的影响存在差异化。当温度小于25.5℃时,风速对噪声值的影响较大;当温度大于等于25.5℃时,气压对噪声值的影响较大。同时,采用相关性分析法对影响因子进行了验证。该方法可用于不同地区声环境质量变化趋势和影响因素的研究,为噪声污染防治提供科学依据。 Based on the data of noise,pressure,temperature,humidity,wind direction and wind speed in urban areas,the decision tree analysis method in JMP statistical analysis was used to study the correlation between noise value and five meteorological parameters.The results show that temperature is the primary factor affecting noise value,followed by wind speed and air pressure.The influence of air pressure and wind speed on noise value is different at different temperatures.When the temperature is less than 25.5℃,the wind speed has a great influence on the noise value.When the temperature is greater than or equal to 25.5℃,air pressure has a great influence on the noise value.At the same time,the correlation analysis method was used to verify the impact factors.This method can be applied to evaluate the changing trend and influencing factors of acoustic environmental quality in different areas,and provide scientific basis for controlling urban noise pollution.
作者 孙丽 张玮 靳睿杰 唐晓青 苏海燕 Sun Li;Zhang Wei;Jin Ruijie;Tang Xiaoqing;Su Haiyan(Hebei Ecological and Environmental Monitoring Center, Shijiazhuang 050037, China)
出处 《环境科学与管理》 CAS 2022年第4期129-132,共4页 Environmental Science and Management
关键词 JMP统计分析 决策树分析法 噪声 气象参数 JMP statistical analysis decision tree analysis noise meteorological parameters
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