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Feasibility of the Inverse-Dispersion Model for Quantifying Drydock Emissions

Department of Civil & Environmental Engineering, University of New Orleans, New Orleans, LA 70148, USA
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Author to whom correspondence should be addressed.
Atmosphere 2019, 10(6), 328; https://doi.org/10.3390/atmos10060328
Received: 13 May 2019 / Revised: 6 June 2019 / Accepted: 12 June 2019 / Published: 17 June 2019
(This article belongs to the Section Air Quality)
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Abstract

Important processes within the shipbuilding and ship repair industry include metal cutting, welding, surface preparation, and painting. When dealing with ship repair, ships are brought into drydocks to carry out necessary repairs. Typical repairs include but are not limited to dry or wet abrasive blasting for removing the old paint and rust followed by repainting of the external hull. Also, the painting of superstructure is carried out as necessary. Additionally, many metal cutting and welding operations are carried out. Air pollutant emissions generated from repair operations carried out within drydock are challenging to quantify, particularly if some of these repair activities do not have reliable emission factors. This paper investigates the feasibility of the inverse dispersion model for quantifying drydock emissions in a shipyard environment. The authors use a well-established Gaussian dispersion model that is used as a regulatory model in the United States and many other countries in a two-step process using a code developed in MATLAB: (1) Source-to-Receptor modeling to compute ambient concentrations using assumed emissions from various sources and meteorological conditions, and (2) The utilization of the computed ambient concentrations at various receptors to compute emissions at those sources (assumed in the first step) using the inverse Gaussian code developed. View Full-Text
Keywords: drydock; shipbuilding; inverse dispersion; emissions drydock; shipbuilding; inverse dispersion; emissions
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Kura, B.; Jilla, A. Feasibility of the Inverse-Dispersion Model for Quantifying Drydock Emissions. Atmosphere 2019, 10, 328.

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