Development of PLS–path model for understanding the role of precursors on ground level ozone concentration in Gulfport, Mississippi, USA

Developmental Biology

Paul B. Tchounwou³  Amit Kumar Gorai¹  Francis Tuluri² 

[1] Department of Mining Engineering, National Institute of Technology, Rourkela, Odisha -769008, India$$;Department of Technology, Jackson State University, Jackson, MS 39217, USA$$;Department of Biology, Jackson State University, Jackson, MS 39217, USA$$

关键词: Ground level ozone;    precursor sources;    Partial Least Square (PLS);    Path Model;   

DOI  :  10.5094/APR.2015.043

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

Ground-level ozone (GLO) is produced by a complex chain of atmospheric chemical reactions that depend on precursor emissions from natural and anthropogenic sources. GLO concentration in a particular location is also governed by local weather and climatic factors. In this work an attempt was made to explore a Partial Least Squares Path Modeling (PLS–PM) approach to quantify the interrelationship between local conditions (weather parameters and primary air pollution) and GLO concentrations. PLS path modeling algorithm was introduced and applied to GLO concentration analyses at Gulfport, Mississippi, USA. In the present analysis, three latent variables were selected: PRC (photochemical reaction catalyst), MP (meteorological factor), and OPP (other primary air pollutants). The three latent variables included 14 indicators for the analysis; with PRC having two (extraterrestrial radiation on horizontal surface, and extraterrestrial radiation normal to the sun), MP having nine (temperature, dew point, relative humidity, pressure, visibility, maximum wind speed, average wind speed, precipitation, and wind direction) and OPP having three (NO₂, PM_2.5, and SO₂) parameters. The resulting model revealed that PRC had significant direct impact on GLO concentration but very small overall effect. This is because PRC had significant indirect negative impact on GLO via MP. Thus, when both direct and indirect effects were taken into account, PRC emerged as having the weakest effect on GLO. The third variable (OPP) also had a positive impact on GLO concentration.

【 授权许可】

Unknown   

【 预 览 】

附件列表

Files	Size	Format	View
RO201912040527883ZK.pdf	754KB	PDF