GEO Task US-09-01a Health SBA
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Transcript of GEO Task US-09-01a Health SBA
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GEO Task US-09-01aHealth SBA
SBA: Health – Air Quality
Analyst: Rudolf Husar, Washington University/LanternCo-Analyst: Stefan Falke, Wash. U./Northrop Grumm.
Current Status of Report:
Awaiting feedback from Task Lead & some AQ members
Date Final Report will be completed (if not already):
April/May 2010?
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Sub-Areas Analyzed
Scope Focus: Air Quality
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AQ Observation Sub-Areas
• Pollutant Parameters
• Observation Coverage
• Observation Strategy/Utility
AQ System Subareas
• Primary, Secondary Emissions
• Ambient Concentrations
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Prioritization Methodology
Prioritization uses three independent (orthogonal) measures of EOs:
• Pollutants: What is the health effect potency of the pollutant;
• Coverage: Spatial-temporal coverage of the EOs;
• Utility: Applicability of the EO for multiple aspects of AQH
EOs are ranked by each measure individually. The overall priority is the subjectively weighed sum of the 3-dimensional rankings.
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Prioritization Methodology
Pollutants: WHO Guidelines Identifies pollutants and their max values
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Coverage: Number of AQ monitoring stations by country/continent
Utility: WHO Guidelines Identifies pollutants and their max values
Note: Bibliometric data on pollutants, coverage and utility were collected and analyzed but used only as a backup/consistency check in the prioritization.
Searching for monitoring stations by country, pollutant, …
Cataloging by country, pollutant, …
Comparing AQ monitoring densities in developing and
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Analyst Feedback on Methodology
The general template for the priority EOs is good for integrating the priorities for all SBAs, all apps in each SBA.
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Analyst Feedback on Methodology
Would you recommend this methodology for other US-09-01a reports in the future? (either as is, or in a modified form?)
Would recommend Methods A and B, but with Method A (Key Parameters) in a modified form.
Developing a more formalized method for designating Key Parameters would improve the transparency and repeatability
– E.g., frequency analysis for designation of key parameters, but that would require a larger body of literature to have a robust sample
– E.g., have all Advisory Group members “vote” on the key parameters to limit individual influence
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Priorities Identified
Number of priority parameters identified: 12
List parameters from Chapter 5, and note whether they are in priority order, no order, tiered lists, etc. (use 2nd slide as needed):
Two ordered tiers (High & Medium), descending priority
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Interpretation of Results
Note any “themes” that emerged, surprising or expected conclusions, considerations for incorporating results into Cross-SBA Analysis.
• RE resource endowment varies by region, so will priorities
• Forecasting (e.g., wind) is very important, so meteorological models and required parameters are especially important
• Required parameter characteristics (e.g., spatial resolution) varies considerably according to end user/purpose
• Advisory Group felt strongly about identifying “key” or enabling parameters, rather than coming up with a longer list of tangentially relevant parameters
• UIC should consider sponsoring Primary Research to fill gaps in documentation of end user needs
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Limitations/ Caveats
Additional notes about interpretation of priority results – i.e., inherent biases, gaps, overlaps with other SBA reports, etc.
• In general, documentation of user needs was limited – Analyst had to infer user needs in some cases
• Solar and wind energy had the most information available – hydropower, bioenergy, and geothermal were lacking.
• Other major potential Energy SBA topics are building energy efficiency, load forecasting, and climate change-energy topics (e.g., geologic carbon sequestration, utility planning)
– These topics would likely rely on similar sets of solar and meteorological parameters, though ranked differently
• Developing RE is part of climate change mitigation, and therefore overlaps considerably with the Climate SBA
• Hydropower and fossil fuels dependent on water cycle – overlaps considerably with Water SBA 9
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Obs. Category Parameter Spatial Priority
Aggregated Observation CharacteristicsSpatial
ResolutionTemporal
Resolution Accuracy LatencyTier 1
Ambient PM2.5 Africa, Asia1 km city 10km rural 1-hr 10-20%1-3 hours
Ambient SO2 Africa, Asia1 km city 10km rural 1-hr 10-20%1-3 hours
Ambient NO2 Africa, Asia1 km city 10km rural 1-hr 10-20%1-3 hours
Ambient O3 Africa, Asia1 km city 10km rural 1-hr 10-20%1-3 hours
Ambient PM10 Africa, Asia1 km city 10km rural 1-hr 10-20%1-3 hours
Tier 2
Ambient, Emissions, SRR Column PM2.5 Global 1-10 km 1-hr 20%1-3 hours
Ambient, Emissions, SRR Column SO2 Global 1-10 km 1-hr 20%1-3 hours
Ambient, Emissions, SRR Column NO2 Global 1-10 km 1-hr 20%1-3 hours
Ambient, Emissions, SRR Column O3 Global 1-10 km 1-hr 20%1-3 hours
Ambient PM10 Global 1-10 km 1-hr 10-20%1-3 hours Tier 3 Exposure Population Global 1 km city 1 year 20% Ambient Weather Global 1-10 km 1-hr 2%1-3 hours
Ambient, Emissions, SRR PM2.5 Comp. Global 1-10 km 1-hr; 1-day 10-20%1-3 weeksEmission, SRR VOCs Global 1-10 km 1-hr 10-20%1-3 weeks
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