title: On an empirical relationship between SO2 concentration and distance from a highway using passive samplers: a case study in Shanghai, China.
abstract: In this paper, field measurements were performed to determine SO(2) concentration gradients from a highway in Shanghai using passive samplers. It was demonstrated that passive sampling method is a cost-effective and convenient way to monitor specific gaseous pollutants at small scales over long sampling periods in air quality studies. Using function fit analysis for the measured results, a shifted power-law relationship had been found between SO(2) concentration and the distance from a highway. Accordingly, an empirical shifted power-law model was developed for describing and predicting the SO(2) gradients near a highway, in which k is the only parameter and named as diffusion attenuation coefficient. There was a surprisingly significant negative correlation between known SO(2) concentration at reference point (C(0)) and diffusion attenuation coefficient (k). By the correlation equation of C(0) and k, appropriate value of k could be calculated with measured C(0). Therefore, the empirical shifted power-law model developed in this study could be practically and conveniently applied for predicting the SO(2) distributions near a highway with known C(0).
authors.affiliation: School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Zou
authors.forename: Zhemin
authors.initials: Z
authors.lastname: Shen
authors.forename: Tao
authors.initials: T
authors.lastname: Yuan
authors.forename: Shan
authors.initials: S
authors.lastname: Yin
authors.forename: Xiang
authors.initials: X
authors.lastname: Zhang
authors.forename: Ran
authors.initials: R
authors.lastname: Yin
authors.forename: Pisheng
authors.initials: P
authors.lastname: Zhou
authors.forename: Wenhua
authors.initials: W
authors.lastname: Wang
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000295:instrumentation / Q000379:methods*; D013458:Sulfur Dioxide / Q000032:analysis*
chemical_list: D000393:Air Pollutants; D013458:Sulfur Dioxide