Literature DB >> 30690369

Assessment of source contribution to air quality in an urban area close to a harbor: Case-study in Porto, Portugal.

Sandra Sorte1, Saravanan Arunachalam2, Brian Naess2, Catherine Seppanen2, Vera Rodrigues3, Alejandro Valencia2, Carlos Borrego3, Alexandra Monteiro3.   

Abstract

Several harbors, like the Port of Leixões (Porto, Portugal), are located near urban and industrial areas, places where residential urban areas, highways and the refinery industry coexist. The need for assessing the contribution of the port to the air quality in its vicinity around the port is the motivation for the present study. This contribution was investigated using a numerical modelling approach based on the web-based research screening tool C-PORT. The impact of the meteorological conditions (namely atmospheric stability and wind direction) was first evaluated, and the most critical conditions for pollutants dispersion were identified. The dominant wind direction, from WSW, was responsible for the transport of pollutants over the surrounding urban area, which was potentiated by the diurnal sea breeze circulation. Multiple scenario runs were then performed to quantify the contribution of each emission sector/activity (namely maritime emissions; port activities; road traffic and refinery) to the ambient air quality. The multiple scenario runs indicated that land-based emission sources at the Port (including trucks, railways, cargo handling equipment and bulk material stored) were the major contributors (approximately 80%) for the levels of surface PM10 concentrations over the study area. Whereas, the main drivers of NOX concentrations were docked ships, responsible for 55-73% of the total NOX concentrations.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Air quality; Dispersion modelling; Port areas; Ship emissions; Source contribution

Year:  2019        PMID: 30690369     DOI: 10.1016/j.scitotenv.2019.01.185

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  ZIP Code-Level Estimation of Air Quality and Health Risk Due to Particulate Matter Pollution in New York City.

Authors:  Komal Shukla; Catherine Seppanen; Brian Naess; Charles Chang; David Cooley; Andreas Maier; Frank Divita; Masha Pitiranggon; Sarah Johnson; Kazuhiko Ito; Saravanan Arunachalam
Journal:  Environ Sci Technol       Date:  2022-04-27       Impact factor: 11.357

2.  Improving emissions inputs via mobile measurements to estimate fine-scale Black Carbon monthly concentrations through geostatistical space-time data fusion.

Authors:  Alejandro Valencia; Saravanan Arunachalam; Vlad Isakov; Brian Naess; Marc Serre
Journal:  Sci Total Environ       Date:  2021-06-10       Impact factor: 7.963

3.  Combining Dispersion Modeling and Monitoring Data for Community-Scale Air Quality Characterization.

Authors:  Vlad Isakov; Saravanan Arunachalam; Richard Baldauf; Michael Breen; Parikshit Deshmukh; Andy Hawkins; Sue Kimbrough; Stephen Krabbe; Brian Naess; Marc Serre; Alejandro Valencia
Journal:  Atmosphere (Basel)       Date:  2019       Impact factor: 2.686

4.  Estimated health impacts from maritime transport in the Mediterranean region and benefits from the use of cleaner fuels.

Authors:  M Viana; V Rizza; A Tobías; E Carr; J Corbett; M Sofiev; A Karanasiou; G Buonanno; N Fann
Journal:  Environ Int       Date:  2020-03-20       Impact factor: 9.621

  4 in total

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