The University of Southampton
University of Southampton Institutional Repository

Stack emissions from desalination plants: a parametric sensitivity analysis for exposure assessment

Alameddine, I. and El-Fadel, M. (2005) Stack emissions from desalination plants: a parametric sensitivity analysis for exposure assessment Desalination, 177, (1), pp. 15-29. (doi:10.1016/j.desal.2004.11.014).

Record type: Article

Abstract

The desalination market has been continuously growing to augment conventional water resources in arid and semi-arid regions that are experiencing population growth, improvements in life-style, increased economic activity and increased contamination of existing water supplies. The introduction of desalination plants is inevitably associated with several potential environmental impacts including potential air pollution. The present study focuses on qualifying air emissions resulting from desalination plants and their potential impacts using a case study approach for an existing combined power generation and water distillation plant. The Industrial Source Complex (ISC) air dispersion model was adopted to assess sulfur dioxide concentrations at sensitive receptors under worst case meteorological conditions and full load operation for both plants. A parametric sensitivity analysis showed that receptors are exposed to concentrations exceeding international standards under most scenarios necessitating mitigation measures which were defined.

Full text not available from this repository.

More information

Published date: 20 June 2005
Keywords: desalination, sulfur dioxide emissions, air dispersion modeling, air pollution, isc model

Identifiers

Local EPrints ID: 52958
URI: http://eprints.soton.ac.uk/id/eprint/52958
ISSN: 0011-9164
PURE UUID: 6d81ea23-3ef3-42e7-8cbb-fbb88d011b54

Catalogue record

Date deposited: 15 Jul 2008
Last modified: 17 Jul 2017 14:39

Export record

Altmetrics

Contributors

Author: I. Alameddine
Author: M. El-Fadel

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×