期刊文献+

Study on Probability Estimation of Haze in Beijing Based Logistic Regression Model

Study on Probability Estimation of Haze in Beijing Based Logistic Regression Model
下载PDF
导出
摘要 The Logistic Regression Model of two categories is used to explore the relationship between haze and season, various meteorological factors such as air pressure, temperature, relative humidity, precipitation, wind direction and so on. Among all the factors, the relative humidity is best related to haze and season is in the second place. The odds of haze in winter are 17.87 times bigger than that in summer, 3.99 times bigger than that in spring. The odds of haze would increase by 48 percent averagely when the relative humidity increase by 10 percent. The Logistic Regression Model of two categories is used to explore the relationship between haze and season, various meteorological factors such as air pressure, temperature, relative humidity, precipitation, wind direction and so on. Among all the factors, the relative humidity is best related to haze and season is in the second place. The odds of haze in winter are 17.87 times bigger than that in summer, 3.99 times bigger than that in spring. The odds of haze would increase by 48 percent averagely when the relative humidity increase by 10 percent.
出处 《Journal of Geoscience and Environment Protection》 2017年第6期37-41,共5页 地球科学和环境保护期刊(英文)
关键词 HAZE LOGISTIC Regression SEASON RELATIVE Humidity Haze Logistic Regression Season Relative Humidity
  • 相关文献

参考文献1

二级参考文献5

共引文献22

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部