Literature DB >> 26433330

A model-based analysis of SO2 and NO2 dynamics from coal-fired power plants under representative synoptic circulation types over the Iberian Peninsula.

Víctor Valverde1, María T Pay2, José M Baldasano3.   

Abstract

Emissions of SO2 and NO2 from coal-fired power plants are a significant source of air pollution. In order to typify the power plants' plumes dynamics and quantify their contribution to air quality, a comprehensive characterisation of seven coal-fired power plant plumes has been performed under six representative circulation types (CTs) identified by means of a synoptic classification over the Iberian Peninsula. The emission and the transport of SO2 and NO2 have been simulated with the CALIOPE air quality forecasting system that couples the HERMES emission model for Spain and WRF and CMAQ models. For the facilities located in continental and Atlantic areas (As Pontes, Aboño, and Compostilla) the synoptic advection controls pollutant transport, however for power plants located along the Mediterranean or over complex-terrains (Guardo, Andorra, Carboneras, and Los Barrios), plume dynamics are driven by a combination of synoptic and mesoscale mountain-valley and sea-land breezes. The contribution of power plants to surface concentration occurs mainly close to the source (<20 km) related to a fumigation process when the emission injection takes place within the planetary boundary layer reaching up to 55 μg SO2 m(-3) and 32 μg NO2 m(-3). However, the SO2 and NO2 plumes can reach long distances (>250 km from the sources) especially for CTs characterised by Atlantic advection.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air quality modelling; CALIOPE-AQFS; Coal-fired power plants; Emissions; Mesoscale; SO(2)/NO(2) plumes dynamics; Synoptic classification

Year:  2015        PMID: 26433330     DOI: 10.1016/j.scitotenv.2015.09.111

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


  2 in total

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Authors:  Qingwei Xu; Kaili Xu
Journal:  R Soc Open Sci       Date:  2018-09-26       Impact factor: 2.963

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Authors:  Shen Zhao; Guanpeng Dong; Yong Xu
Journal:  Int J Environ Res Public Health       Date:  2020-01-18       Impact factor: 3.390

  2 in total

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