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Effect of traffic congestion and vegetation on airborne bacteria in a city of a developing country

  • Ruvini Wathsala Kumari Amarasekara
  • , Meththika Vithanage
  • , Preminda Samaraweera
  • , Ashantha Goonetilleke
  • , Dhammika Nayoma Magana-Arachchi

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

The study was designed to determine the variations in the diversity and the total abundance of airborne bacteria in the atmosphere of nine locations in Kandy City, the cultural capital of Sri Lanka. Culturable microorganisms were identified using 16S rDNA sequencing. Quantification of total bacterial abundance was calculated using real-time PCR. Twenty-eight bacterial species were identified by 16S rDNA sequencing. Bacillus cereus, Bacillus pumilus, Pseudomonas aeruginosa, Pseudomonas stutzeri, and Brevundimonas vesicularis were present in all the sampling sites. Most of the recorded species were opportunistic human pathogens of the respiratory tract (Pseudomonas spp., B. cereus, B. vesicularis, Klebsiella pneumoniae), gastro intestine (B. cereus, K. pneumoniae), and skin (B. cereus). The highest total bacterial load (1.42×1010 cells/m2) was at the railway station where traffic congestion was the highest while significantly high mean culturable bacterial concentration (5.35×106 CFU/m2) (p < 0.05) was recorded from the site close to a tea plantation with heavy vegetation cover. This study shows the impact of vegetation and traffic congestion on airborne microorganisms. The presence of opportunistic pathogens highlights the need for risk assessment and management of air quality in congested urban areas. Graphical abstract: [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)1103-1116
Number of pages14
JournalAir Quality, Atmosphere and Health
Volume14
Issue number7
DOIs
Publication statusPublished - Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • 16S rDNA sequencing
  • Diversity
  • Opportunistic pathogens
  • Real-time PCR
  • Total abundance

Programme Area

  • Programme Area 2: Water Resources

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