Supporting the Concept of Early Warning Analysis (SCEWA)

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Resource or Project Abstract

The ultimate goal of the SCEWA project is to:
support organizations and states agencies in providing early warning services.

Taking Environmental Protection Agencies as a domain of application, early warning services can be used to detect potential problems and accidents at engineering facilities such as water and waste water treatment plants, landfills and incinerators, in order to:

a) protect the personnel and the infrastructure in the facilities,
b) protect the environment,
c) inform and guide the personnel and the public accordingly, in case of "expected" adverse effects.

Given this ultimate goal, our research is focused on the development of methods and tools which are aimed at supporting the analysis, design, and development of early warning systems in engineering facilities and in critical infrastructures whose undisturbed operation is important for maintaining and improving the quality of our everyday life.

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Contact Information for This Resource

Dr. Ioannis Dokas
University College Cork
Environmental Scientist
Cork Constraint Computation Centre, University College Cork, 2-69, Floor 2, Western Gateway Building, University College Cork Cork City, Ireland
Telephone: 353 (21) 420 5960
e-mail: i.dokas@4c.ucc.ie

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Data, Files, Information Objects Related To This Project Resource

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Below is a selection of the [ 24 ] files attached to this resource : To view the list of all data and information products attached to this resource you will need to view the Full Attachment List

Attachment Name and Download Link
Project Report Optimised For Online Viewing    STRIVE_125_web.pdf  (3.05 Mb)
Att 2    ImranS_PhD2013.pdf   (6.51 Mb)
Att 3    2-11-Dokas-EWaSAP-An-Early-Warning-Sign-Identification-Approach-Based-on-STPA.pdf   (1.95 Mb)
Att 4    Meeting_26-08-09.pptx   (1.33 Mb)
Att 5    S4_Ioannis.ppt   (2.12 Mb)
Att 6    ISDIA_Socio_Technical_Early_Warning_Systems.ppt   (4.71 Mb)
Att 7    Ioannis_EPA_National_Conference.ppt   (2.16 Mb)
Att 8    A_Software_as_a_Service_Application_for_an_Early_Warning_System.pdf   (1.06 Mb)
Att 9    Domain-Specific_Modeling_Language_for_an_Early_Warning_System.ppt   (4.09 Mb)
Att 10    Drinking_Water_Safety.ppt   (2.17 Mb)
Att 11    HSE_29-9-09.pptx   (1.18 Mb)

Suggested Citation Information

The information supplied in the table below should be provided with all citations to this electronic resource. You are requested to format each of the fields below as required by the specific bibliographical style you are using.

Author(s)Dokas, I.
Title Of WebsiteSecure Archive For Environmental Research Data
Publication InformationSupporting the Concept of Early Warning Analysis (SCEWA)
Name of OrganisationEnvironmental Protection Agency Ireland
Electronic Address or URL http://erc.epa.ie/safer/resource?id=3460b543-1bb2-11e4-b233-005056ae0019
Unique Identifier3460b543-1bb2-11e4-b233-005056ae0019
Date of AccessLast Updated on SAFER: 2017-04-28

An example of this citation in proper usage:

Dokas, I.   "Supporting the Concept of Early Warning Analysis (SCEWA)". Associated datasets and digitial information objects connected to this resource are available at: Secure Archive For Environmental Research Data (SAFER) managed by Environmental Protection Agency Ireland http://erc.epa.ie/safer/resource?id=3460b543-1bb2-11e4-b233-005056ae0019 (Last Accessed: 2017-04-28)

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Access Information For This Resource

SAFER-Data Display URL http://erc.epa.ie/safer/iso19115/display?isoID=3054
Resource KeywordsDrinking Water Treatmant Plants Safety, Early Warning System, Early Warning Signs, SaaS, EWaSAP
EPA/ERTDI/STRIVE Project Code2007-DRP-2 -S5
EPA/ERTDI/STRIVE Project ThemeWater Quality
Resource Availability: Any User Can Download Files From This Resource
Public-Open
Limitations on the use of this ResourceNo limitations
Number of Attached Files (Publicly and Openly Available for Download): 25
Project Start Date Monday 7th January 2008 (07-01-2008)
Earliest Recorded Date within any attached datasets or digital objects Monday 7th January 2008 (07-01-2008)
Most Recent Recorded Date within any attached datasets or digital objects Monday 7th January 2013 (07-01-2013)
Published on SAFERMonday 4th August 2014 (04-08-2014)
Date of Last EditMonday 4th August 2014 at 11:28:26 (04-08-2014)
Datasets or Files Updated On Monday 4th August 2014 at 11:28:26 (04-08-2014)

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Geographical and Spatial Information Related To This Resource

Description of Geographical Characteristics of This Project or Dataset
The research was conducted in the Republic of Ireland with case studies in drinking water treatment plants in the Counties of Limerick and Cork

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Supplementary Information About This Resource

In this section some supplementary information about this resource is outlined. Lineage information helps us to understand why this project was carried out, what policy or research requirements did it fulfil, etc. Lineage is important in understanding the rationale behind the carrying out of a project or the collection of a specific dataset etc. Links to web sites, applications, papers, etc are outlined to provide you with additional information or supplementary reading about the project or dataset

Lineage information about this project or dataset
This project emerged from the need to study and address one real-world problem and one research problem. The real-world problem stemmed from the need to be proactive to drinking water outbrakes and accidents withing drinking water treatment plants. The research problem originated
from the multiple facets, which the early warning sign concept receives in the relevant literature. This, in turn, created the need to: a) Study various opinions and perspectives on the early warning sign concept; b) Deliver novel approaches for the identification and justification of early warning signs to accidents; c) Design and develop tools that support organisations to be proactive to accidents.
Supplementary Information
The research team of this project used theories, methods, tools and techniques from a number of disciplines, such as systems theory and cybernetics, systems safety engineering and water purification approaches, artificial intelligence and domain specific modelling, cloud computing and multi-tenant databases.
Links To Other Related Resources
  http://4c.ucc.ie/scewa/ (Opens in a new window)

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Other Similiar Projects on SAFER

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