Browse DORAS
Browse Theses
Search
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Development of a risk based model for use in water quality monitoring

Jones, Lisa (2012) Development of a risk based model for use in water quality monitoring. PhD thesis, Dublin City University.

Full text available as:

[img]
Preview
PDF (PhD Thesis) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
4Mb

Abstract

Modelling has recently emerged as an effective and efficient tool in the area of water quality monitoring with new models taking in vast quantities of data and facilitating the development of more targeted water monitoring programs. With the Water Framework Directive demanding that monitoring requirements for a list of priority substances be met, achieving ‘good’ status in all water bodies by 2015, there is a strong need for improved monitoring programmes. In order to improve future monitoring programmes by making the process more ‘targeted’ a simple risk-based model for the occurrence of priority substances in wastewater treatment plant effluent was devised. This model was developed through the collection of an extensive list of documents relating to priority substances emission factors. These included wastewater treatment licence applications, trade effluent licences, traffic data, rainfall data and census data. It was found that by relating data from each of these sources to historic occurrence data it was possible to conceptualise and develop to a model of risk of occurrence of priority substances. Validation of this model was carried out using data from a 24 month sampling plan at 9 sites in two counties in Ireland. This work has allowed for the compilation of a large dataset of emission factor and priority substance occurrence in Ireland where none previously existed. For the first time a risk-based model has been developed for Irish wastewater treatment plant effluents. Together the model and dataset can be used by policy makers and inform the development of future priority substance monitoring programmes.

Item Type:Thesis (PhD)
Date of Award:November 2012
Refereed:No
Supervisor(s):Regan, Fiona
Uncontrolled Keywords:Water Quality Monitoring; Effluents; Priority Substances
Subjects:Physical Sciences > Environmental chemistry
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Initiatives and Centres > National Centre for Sensor Research (NCSR)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:17516
Deposited On:26 Nov 2012 15:56 by Fiona Regan. Last Modified 26 Nov 2012 15:56

Download statistics

Archive Staff Only: edit this record