Articles online

Atmospheric Dispersion of PM2.5 Precursor Gases from Two Major Thermal Power Plants in Andhra Pradesh, India

Category: PM2.5, Atmospheric Aerosols and Urban Air Quality

Volume: 17 | Issue: 2 | Pages: 381-393
DOI: 10.4209/aaqr.2016.07.0294
PDF | RIS | BibTeX

Venkata Bhaskar Rao Dodla , China Satyanarayana Gubbala, Srinivas Desamsetti

  • Department of Atmospheric Science, K L University, Andhra Pradesh 522502, India


Prediction of meteorological variables using ARW model.
Assessment of seasonal variation of wind flow.
Simulation of dispersion of SO2 and NO using HYSPLIT model.
Pollutant dispersion over two urban complexes.


Fine particulate matter (PM2.5) predominantly comprises sulphates and nitrates, which results from sulphur dioxide (SO2) and nitrogen oxide (NOx) gases that are emanated from excessive industrial activities and transport systems. PM2.5 is known to affect respiratory health in humans. Coal-fired thermal power plants are a major source of SO2 and NOx gases. Evaluation of the dispersion characteristics of these precursor gases from the power plants would help understand the vulnerability. Meteorological conditions that prevail over the region would influence the dispersion characteristics. In this study, dispersion of SO2 and NO from two major coal-fired thermal power plants in Andhra Pradesh, India have been studied using an integrated modeling approach of the Advanced Research Weather Research & Forecasting (ARW) model and Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Meteorological conditions are obtained at 3-km resolution using the ARW model and dispersions of SO2 and NO is computed using the HYSPLIT model for the four seasons of winter, summer, monsoon and post-monsoon. Forward trajectories produced by the HYSPLIT model show diurnal variations and dispersion patterns show seasonal variations indicating the influence of meteorological conditions. Dispersion characteristics show high dispersion in winter due to calm and stable atmospheric conditions to insignificant in summer season due to stronger winds and higher atmospheric instability. The study establishes the usefulness of integrated meteorological and dispersion models for the evaluation of pollutant dispersion.


Particulate matter Dispersion Power plants ARW model HYSPLIT

Related Article

Analysis of Aerosol Composition and Assessment of Tunnel Washing Performance within a Mass Rapid Transit System in Taiwan

Ying-Yi Chen, Chung-Yen Lu, Pei-Chun Chen, I-Fang Mao, Mei-Lien Chen
Volume: 17 | Issue: 6 | Pages: 1527-1538
DOI: 10.4209/aaqr.2017.03.0120
PDF | Supplemental material

Mobile Aerosol Measurement in the Eastern Mediterranean – A Utilization of Portable Instruments

Tareq Hussein , Brandon E. Boor, Vanessa N. dos Santos, Juha Kangasluoma, Tuukka Petäjä, Heikki Lihavainen
Volume: 17 | Issue: 7 | Pages: 1875-1886
DOI: 10.4209/aaqr.2016.11.0479
PDF | Supplemental material

Trends of PM2.5 and Chemical Composition in Beijing, 2000–2015

Jianlei Lang , Yanyun Zhang, Ying Zhou, Shuiyuan Cheng, Dongsheng Chen, Xiurui Guo, Sha Chen, Xiaoxin Li, Xiaofan Xing, Haiyan Wang
Volume: 17 | Issue: 2 | Pages: 412-425
DOI: 10.4209/aaqr.2016.07.0307
PDF | Supplemental material