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Improving data usability for environmental indicators in Strategic Environmental Assessment

This study explores the challenges and gaps in accessing and utilizing environmental data for strategic environmental assessment (SEA). It highlights the importance of addressing data gaps and improving data collection and analysis to enhance the effectiveness of SEA and inform decision-making. Case studies from waste management plans and water supply data are used to illustrate the impact of data usability on environmental assessments. The study concludes by emphasizing the role of SEA in providing valuable feedback for data collection and management.

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Improving data usability for environmental indicators in Strategic Environmental Assessment

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  1. Improving data usability forenvironmental indicators in Strategic Environmental Assessment 1Peter Mooney & 2Alison Donnelly 1National Centre for Geocomputation, NUI Maynooth. 2School of Natural Sciences, Trinity College Dublin. Environmental Research Centre, Environmental Protection Agency. IRELAND

  2. There are many sources of baselinedata/information in SEA

  3. Decreasing Opportunity For Usage “Data Gaps” occur in a variety of ways • Data does not/never did exist • Data is physically in-accessible • Data is too old or just not applicable • Data is of very poor quality • Wrong level of aggregation (temporal or geog) or wrong scale • Data distributed in an in-accessible way • political or human barriers • software or cost barriers

  4. Responsibility for “Data Issues” from Collection to End Usage -- (No Responsibility) ++ (Responsibility)

  5. Post-SEA can provide for feedback Predict Significant Environmental Effects Environmental Data Stored Used By SEA Monitoring Actual Effects of the Plan Feedback Inform/Identify Problems Environmental Data Collection And Analysis

  6. Midlands Waste Management Plan HUMAN HEALTH There is a lack of human health data available at national, or regional level in relation to waste management, however an overview is given here. A literature review in 2003 on the effects of various forms of waste diaposal ‘Health and Environmental Effects of Landfilling and Incineration of Waste – A Literature Review’, concluded that Ireland has insufficient resources to carry out adequate risk assessment. • Are there any clues as to why there is a “lack of human health data”? • Are these data hidden from public access? • Are they only available in paper format?

  7. Midlands Waste Management Plan • Data gaps: • Three are a number of areas where there is insufficient data or where the level of detail is not sufficient for the purpose of baseline. • Groundwater vulnerability and aquifer classification data for Westmeath, Longford and Offaly • Air quality data that is specific to the impacts due to waste (main source; Annual Environmental Reports) • Human health data relevant to waste facilities • Biological water quality data upstream and downstream of significant waste facilities • Traffic or number or journeys related to waste transport and waste activities • Energy consumption data for waste facilities • Which of these “data gaps” are as a result of data access problems? • Which of these “data gaps” are as a result of data not actually existing?

  8. Greater Dublin Water Supply Data Gap: Impacts on otter activity Impacts on breeding waterfowl listed in Annex 1 of the EU Birds Directive Impacts on the wetted perimeter downstream of Lough Ree and impacts of the predicted increase in the duration in minimum downstream flows of approximately 12m3/sec (54 days to73 days) on biodiversity and the River Shannon. • What are the reasons for these gaps? • Can the Environmental Report speculate or provide examples? Data Gap: Unknown sites of cultural heritage

  9. Draft Rural Development Plan Wales • Transboundary problems are evident here • Ontological problems also evident • Data Scale problems • Data providers need to improve their service

  10. SEA can provide very useful feedback for data collection/management • SEA Breaks away from traditional producer/consumer data model • SEA needs - good data – quickly – at useful scales and levels of aggregation • In a unique position to provide feedback on problems encountered when collecting baseline data and information Thank you for your attention!

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