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  5. Integrated modelling of urban, rural and coastal domains for bathing water quality prediction – Smart Coasts and Acclimatize Projects
 
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Integrated modelling of urban, rural and coastal domains for bathing water quality prediction – Smart Coasts and Acclimatize Projects

Author(s)
O'Sullivan, J. J.  
Bedri, Zeinab  
Corkery, Aisling  
Deering, Louise  
Demeter, Katalin  
Meijer, Wim  
Masterson, Bartholemew  
O'Hare, G. M. P. (Greg M. P.)  
Uri
http://hdl.handle.net/10197/10327
Date Issued
2018-06-27
Date Available
2019-05-07T14:46:24Z
Abstract
This paper presents the results of the Interreg funded SMARTCOASTS project in which an integrated catchment (MIKE11) and coastal (MIKE21 and MIKE3) modelling tool was developed for predicting the bathing water quality, at Bray, Co. Wicklow, on the east coast of Ireland. The Bray bathing waters had historically been prone to episodic short-term pollution, caused primarily by rainfall related catchment run-off. Accounting fully for the complexity of the pollution inputs for water quality prediction in the system required an integrated modelling approach. The approach for integrating the individual component models (NAM, MIKE 11, and MIKE 3 FM) was simple but efficient. The component models, interfaced to the core of the forecasting system, were run sequentially, i.e. in the form of a cascade with the forcing of each downstream model being the result of the model upstream of it. Rainfall (both forecasted and measured) drives the hydrological processes in the NAM model, which produces runoff that generates sub-catchment inflows into the river network. The output from NAM serves as the input to the MIKE 11 model which routes the flow and water quality variables in the river network and transports them to the coastal waters. Finally, the MIKE 3 FM coastal model uses flow and water quality outputs from MIKE 11, together with tidal and meteorological data, to simulate the current flow, transport and fate of water quality variables in the marine environment. Models were calibrated using measured data. Adjustment of the tidal constituents of the MIKE global model resulted in a markedly improved fit to measured water levels at five reference tidal gauges, used for calibration. Bottom friction was calibrated to produce good correlations of measured and simulated current speed and direction. When applied to water quality prediction, results of the transport model showed that the model adequately replicated measurements of E.coli and Intestinal Enterococci within the coastal domain. Computational simulations of bathing water quality are not without difficulty and a significant challenge in this work involved incorporating real-time meteorological data from a sensor network within the catchment into the model predictions. The work of Smart Coasts is currently being built on in the Interreg funded Acclimatize project. Acclimatize is focussing on the bathing waters of Dublin Bay and involves the development of a modelling platform that will facilitate a longer-term assessment of the likely pressures on bathing water quality in the context of a changed climate.
Sponsorship
European Commission - European Regional Development Fund
Other Sponsorship
ERDF through the Ireland Wales Program (INTERREG 4A)
Type of Material
Conference Publication
Publisher
CIWEM
Subjects

Integrated catchment ...

Wicklow

Ireland

Pollution inputs

Water quality

E.coli

Intestinal Enterococc...

Bathing water quality...

Dublin Bay

Climate change

Web versions
https://www.ciwem.org/events/ciwem-urban-drainage-group-summer-conference-exhibition/
Language
English
Status of Item
Peer reviewed
Conference Details
CIWEM Urban Drainage Group Summer Conference & Exhibition, Newry, Northern Ireland, 27 June 2018
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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O'Sullivan et al full paper v1.pdf

Size

388.45 KB

Format

Adobe PDF

Checksum (MD5)

65d362b397ef90955405113e4e30e1c3

Owning collection
Civil Engineering Research Collection
Mapped collections
Biomolecular and Biomedical Science Research Collection•
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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