摘要
为了有效地治理大气污染现象,提出气象条件对大气颗粒物污染影响的定量评估模型构建研究。深入解析大气颗粒物污染源,构造颗粒物污染源谱图,结合颗粒物污染阶段的特性,选取气象条件的主要影响因素,探究气象要素与污染浓度的关系,获取对应的相关系数,构造气象要素对大气颗粒物污染影响的定量评估模型,通过方程组求解气象条件影响程度数值,实现气象条件对大气颗粒物污染影响的定量评估。实验结果显示:应用构建模型获得的气象条件影响程度数值与实际数值几乎保持一致,误差约为0.005,表明构建模型定量评估性能更佳。
In order to effectively control air pollution,a quantitative assessment model for the impact of meteorological conditions on atmospheric particulate pollution is proposed.This paper analyzed the pollution source of atmospheric particulates,constructed the spectrum of particulate pollution source,selected the main influencing factors of meteorological conditions in combination with the characteristics of particulate pollution stage,.It exploreed the relationship between meteorological elements and pollution concentration,obtained the corresponding correlation coefficient,constructed the quantitative assessment model of the impact of meteorological elements on atmospheric particulate pollution,and solved the numerical value of the impact degree of meteorological conditions through equations.The quantitative assessment of the impact of meteorological conditions on atmospheric particulate pollution was proposed.The experimental results show that the influence degree of meteorological conditions obtained from the model is almost consistent with the actual value,with an error of about 0.005,indicating that the quantitative evaluation performance of the model is better.
作者
曹玲
谢勇
解彦维
王洋
杨旭
Cao Ling;Xie Yong;Xie Yanwei;Wang Yang;Yang Xu(Jilin Meteorological Service Center,Changchun 130062,China;Jilin Emergency Warning Information Dissemination Center,Changchun 130062,China;Jiutai District Meteorological Bureau of Changchun,Changchun 130500,China;Institute of Meteorological Sciences of Jilin Province,Changchun 130062,China)
出处
《环境科学与管理》
CAS
2023年第1期78-83,共6页
Environmental Science and Management
基金
国家自然科学基金面上项目(41975101、41875119)。
关键词
大气颗粒物
污染浓度
空间分布
气象条件
定量评估
atmospheric particulate matter
pollution concentration
spatial distribution
meteorological conditions
quantitative assessment
