Literature DB >> 28347611

Ambient particulate matter and carbon monoxide at an urban site of India: Influence of anthropogenic emissions and dust storms.

Ravi Yadav1, L K Sahu2, G Beig3, Nidhi Tripathi2, S N A Jaaffrey4.   

Abstract

Continuous measurements of PM2.5, PM10 and CO were conducted at an urban site of Udaipur in India from April 2011 to March 2012. The annual mean concentrations of PM2.5, PM10 and CO were 42 ± 17 μg m-3, 114 ± 31 μg m-3 and 343 ± 136 ppbv, respectively. Concentrations of both particulate and CO showed high values during winter/pre-monsoon (dry) period and lowest in the monsoon season (wet). Local anthropogenic emission and long-range transport from open biomass burning sources along with favourable synoptic meteorology led to elevated levels of pollutants in the dry season. However, higher values of PM10/PM2.5 ratio during pre-monsoon season were caused by the episodes of dust storm. In the monsoon season, flow of cleaner air, rainfall and negligible emissions from biomass burning resulted in the lowest levels of pollutants. The concentrations of PM2.5, PM10 and CO showed highest values during morning and evening rush hours, while lowest in the afternoon hours. In winter season, reductions of PM2.5, CO and PM10 during weekends were highest of 15%, 13% and 9%, respectively. In each season, the highest PM2.5/PM10 ratio coincided with the highest concentrations of pollutants (CO and NOX) indicating predominant emissions from anthropogenic sources. Exceptionally high concentrations of PM10 during the episode of dust storm were due to transport from the Arabian Peninsula and Thar Desert. Up to ∼32% enhancements of PM10 were observed during strong dust storms. Relatively low levels of O3 and NOx during the storm periods indicate the role of heterogeneous removal.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomass burning; Carbon monoxide; Dust storm; India; Particulate matters

Mesh:

Substances:

Year:  2017        PMID: 28347611     DOI: 10.1016/j.envpol.2017.01.038

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital.

Authors:  Gufran Beig; K S Jayachandran; M P George; Aditi Rathod; S B Sobhana; S K Sahu; R Shinde; V Jindal
Journal:  Chemosphere       Date:  2022-03-08       Impact factor: 8.943

2.  COVID-19 and environmental -weather markers: Unfolding baseline levels and veracity of linkages in tropical India.

Authors:  Gufran Beig; S Bano; S K Sahu; V Anand; N Korhale; A Rathod; R Yadav; P Mangaraj; B S Murthy; S Singh; R Latha; R Shinde
Journal:  Environ Res       Date:  2020-08-22       Impact factor: 8.431

  2 in total

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