Enhanced Receptor Modeling Using Expanded Equations with Parametric Variables for Secondary Components of PM2.5
Abstract Receptor modeling provides valuable information to help develop effective control strategies. Additionally, incorporating parametric variables into expanded receptor modeling improves the understanding of formation mechanisms and potential sources of secondary aerosol. This study was conduc...
Saved in:
Main Authors: | Ho-Tang Liao, Ming-Tung Chuang, Ping-Wen Tsai, Charles C.-K. Chou, Chang-Fu Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2020-12-01
|
Series: | Aerosol and Air Quality Research |
Subjects: | |
Online Access: | https://doi.org/10.4209/aaqr.200549 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Associations of PM2.5 and its components with term preterm rupture of membranes: a retrospective study
by: Jiangxia Qin, et al.
Published: (2025-01-01) -
Method for determining effectiveness of cleaning devices for PM2.5 and PM10 suspended particles in dusty industrial emissions
by: L. O. Shtripling, et al.
Published: (2019-06-01) -
Advances in Development of PM2.5-Exposed Animal Models and Their Application in Reproductive Toxicity Research
by: TIAN Fang, et al.
Published: (2024-12-01) -
Measurement of PM2.5 and PM10 Concentrations in Nakhodka City with a Network of Automatic Monitoring Stations
by: Aleksei Kholodov, et al.
Published: (2022-07-01) -
How Does PM2.5 Impact the Urban Vertical Temperature Structure? A Case Study in Nanjing
by: Hao Wu, et al.
Published: (2024-01-01)