Article: A hybrid Eulerian-Lagrangian-statistical approach to evaluate air quality in a mixed residential-industrial environment Journal: International Journal of Environment and Pollution (IJEP) 2018 Vol.64 No.1/2/3 pp.246 - 264 Abstract: The aim of this work is to evaluate the air quality in a mixed urban-industrial environment. Concentration gradients can often be strong, owing to the complex orographic and meteorological context. It can be therefore misleading to rely only on the monitoring network. We used a Eulerian chemistry-transport model (CTM) to simulate the regional background concentrations of PM10, and a Lagrangian model (LM) to simulate the local impact of the emissions from an iron production plant. Firstly, regional scale background concentrations were estimated with a data fusion approach, interpolating the observations of the background stations using concentrations simulated by the CTM as a proxy. Secondly, the residuals over the urban stations were interpolated using concentrations simulated by the LM as a proxy. The performance of this modelling approach was evaluated using independent data and through a leave-one-out cross validation. The effectiveness of different strategies for impact mitigation was also assessed. Inderscience Publishers - linking academia, business and industry through research

Title: A hybrid Eulerian-Lagrangian-statistical approach to evaluate air quality in a mixed residential-industrial environment

Authors: Giovanni Bonafé; Francesco Montanari; Fulvio Stel

Addresses: Agenzia Regionale per la Protezione dell'Ambiente del Friuli Venezia Giulia, via Cairoli 14, Palmanova, Italy ' Agenzia Regionale per la Protezione dell'Ambiente del Friuli Venezia Giulia, via Cairoli 14, Palmanova, Italy ' Agenzia Regionale per la Protezione dell'Ambiente del Friuli Venezia Giulia, via Cairoli 14, Palmanova, Italy

Abstract: The aim of this work is to evaluate the air quality in a mixed urban-industrial environment. Concentration gradients can often be strong, owing to the complex orographic and meteorological context. It can be therefore misleading to rely only on the monitoring network. We used a Eulerian chemistry-transport model (CTM) to simulate the regional background concentrations of PM10, and a Lagrangian model (LM) to simulate the local impact of the emissions from an iron production plant. Firstly, regional scale background concentrations were estimated with a data fusion approach, interpolating the observations of the background stations using concentrations simulated by the CTM as a proxy. Secondly, the residuals over the urban stations were interpolated using concentrations simulated by the LM as a proxy. The performance of this modelling approach was evaluated using independent data and through a leave-one-out cross validation. The effectiveness of different strategies for impact mitigation was also assessed.

Keywords: environmental pollution; air pollution; chemistry-transport model; Eulerian model; Lagrangian model; particulate matter; PM10; data fusion; universal kriging; hybrid approach; Trieste; iron production plant; impact mitigation; air quality; dispersion modelling.

DOI: 10.1504/IJEP.2018.099162

International Journal of Environment and Pollution, 2018 Vol.64 No.1/2/3, pp.246 - 264

Received: 07 Feb 2018
Accepted: 02 Dec 2018
Published online: 16 Apr 2019 *

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Title: A hybrid Eulerian-Lagrangian-statistical approach to evaluate air quality in a mixed residential-industrial environment

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