System for bathing Water quality Modelling (SWIM) Project

Transcription

1 System for bathing Water quality Modelling (SWIM) Project Project Advisory Group Meeting 15 th March 2018 Professor Gregory O Hare, School of Computer Science, University College Dublin (UCD)

2 SWIM Partnership

3 SWIM Stakeholders

4 SWIM Funding Instrument Interreg VA United Kingdom-Ireland (Northern Ireland-Ireland- Scotland) Environment, Objective 2.2 Manage Marine Protected Areas and Species

5 Short-term Pollution and Discounting The Directive recognises that short-term pollution of bathing waters may arise (e.g., caused by high-rainfall events); It allows up to 15% of the results for an assessment period to be discounted (i.e., to be disregarded and not included in the compliance calculations); However discounting may be applied only to short-term pollution that is PREDICTABLE.

6 The Directive s Predict and Discard Strategy Predict short-term pollution events. Warn the public not to bathe for health protection. Then, the microbial results may be discarded, potentially with the effect of protecting the bathing water classification from downgrading. A check sample and a replacement sample must be taken. Management measures must be taken.

7 SWIM Objective The SWIM project will enable short-term pollution to be predicted, through the development of a bathing water quality prediction model and deriving from this, the capacity to inform the public through a series of media channels including text alerts and automatic web updates, and real-time communication via alert services delivered through electronic signage installed strategically at beach entrances. This will help to protect public health, significantly improve communication to members of the public, and in doing so contribute to promoting tourism.

8 Legislative Drivers Achieving and maintaining high marine water quality standards is required under stringent EU environmental legislations (e.g., Bathing Water Directive (2006/7/EC), Shellfish Waters Directive (2006/113/EC), and Water Framework Directive (2000/60/EC).

9 Legislative Drivers To ensure effective and efficient implementation of these directives, water resource managers need to know the water quality in order to take appropriate mitigating actions for social and ecological benefits in the event of pollution. This is particularly so for the Bathing Water Directive, where water quality is defined in terms of Escherichia coli and intestinal enterococci (IE) concentrations as percentile limit values.

10 SWIM Approach Acquire all pre-existing available bathing water microbial water-quality. Determine sources of, and acquire all available retrospective relevant environmental data. Determine which bathing waters had less than Excellent classification (category 1). Determine which had one or more sample results that exceeded Sufficient standard values (category 2). Operate the Discard Model for categories 1 and 2. Validate successful model performance. Develop multivariate and other models where the Discard Model has not been successfully validated.

11 Beach Selection Rationale Cranfield Ballyholme Castlerock Newcastle Crawfordsburn Rationale: Shared cross-border tidal water Rationale: High footfall. Public health risk. High amenity value (local boat clubs and organised swimming events) Rationale: Shared cross-border tidal water. Public health risk Rationale: High footfall.public health risk. High amenity value (key NI tourist destination) Rationale: High footfall. Public health risk. Portrush (East Strand)Rationale: Shared cross-border tidal water. High footfall. Public health risk. High amenity value (local surf schools) Enniscrone, Sligo Rationale: Public Health Risk Lady s Bay, Donegal Rationale: Public Health Risk and high footfall.

12 Anticipated Beaches A number of beaches will be selected. The anticipated candidate beaches are: Northern Ireland Cranfield Ballyholme Castlerock Newcastle Crawfordsburn Portrush (East Strand) Republic of Ireland Enniscrone, Sligo Lady s Bay, Donegal

13 SWIM Enabling Technologies Predictive Modelling Sampling Citizen Engagement Intelligent Orchestrated Sensing Informing the Public

14 Multi-Sensor Deployment

15 Informing the Public Sign wording is as per SEPA Manual signing at the DSP 7 days Weekdays - 09:00, 12:00, 15:00 GMT Weekends 09:00, 12:00 GMT

16 Informing the Public IpV6 Addressable signage Personalised contextualized messaging using geofencing Alternate revenue streams

17 System for bathing Water quality Modelling (SWIM) Project - Status Update Project Advisory Group Meeting 15 th March 2018 Professor Gregory O Hare, School of Computer Science, University College Dublin (UCD)

18 SWIM Workpackages WP3: Mar 2017 Aug 2017 WP4: Sep 2017 Jan 2020 WP5: Jun 2017 Mar 2020 WP6: Nov 2017 Mar 2020 WP7: Jun 2017 Mar 2020

19 SWIM Workpackages WP1: Jan 2017 Jun 2020 WP2: Jul 2017 Dec 2019

20 Conclusion: To Dream by Day All people dream, but not equally. Those who dream by night in the dusty recesses of their mind, wake in the morning to find that it was vanity. But the dreamers of the day are dangerous people, for they dream their dreams with open eyes, and make them come true. D.H. Lawrence