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Hamilton Air Quality and Health Impacts Study - 2011. Presented to: Upwind Downwind Conference Presented by: Dr. Douglas Chambers February 27, 2012. 1. Background. Project a result of interest by Clean Air Hamilton (CAH) to update Health Impacts Assessment
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Hamilton Air Qualityand Health Impacts Study - 2011 Presented to: Upwind Downwind Conference Presented by: Dr. Douglas Chambers February 27, 2012 1
Background • Project a result of interest by Clean Air Hamilton (CAH) to update Health Impacts Assessment • Significant work undertaken by CAH and partners to lower air concentrations in Hamilton for many pollutants
Some Initiativesto Improve Air Quality Public Health initiatives (AQHI) Sustainable transportation initiatives (anti-idling, mobile monitoring) Improved air monitoring (Hamilton Air Monitoring Network On-line) Air Quality communication (CAH website) Emission reductions (wood burning efficiency initiative)
Air Pollutants Considered • Fine Particulate Matter • PM10 and PM2.5 • Nitrogen Dioxide • Surrogate for NOx as NO converted rapidly to NO2 • Sulphur Dioxide • Ozone • Carbon Monoxide
Previous Study - 2003 Used Dr. Pengelly’s Hamilton Air Quality Initiative 1997 report as a basis Used same methodology to allow for comparison Updated the relative risk outcomes for PM10, NO2, SO2, CO and O3 Adjusted health outcomes by 42% due to errors in the derivation of the relative risks from the literature
Current Study • Used same methodology as 2003 study • Updated air quality data • Obtained from the MOE • Updated mortality and morbidity health data • Obtained from Hamilton Public Health Services
Current Study …cont’d • Updated relative risks where new studies were available • All relative risks for mortality updated • Only some for morbidity • Adopted relative risks from 2003 study • Included health outcomes for PM2.5
Assumptions Used in Current Study • Focus on relative risks of acute exposures • Similar to previous study • Used average relative risks values • Separate relative risks for each air pollutant • May result in double-counting • Considered representative air concentrations • No consideration of proximity to industry or major roadways
Health Data • Obtained Health Data from City of Hamilton Public Health Services • Mortality Data • Only available up to 2005 • Morbidity Data • Cardiovascular hospital admissions up to 2008 • Respiratory hospital admissions up to 2008
Mortality and Morbidity Rates for Hamilton * Approximated by Total Acute Care Hospital Discharges for Disease of the Circulatory System ** Approximated by Acute Care Hospital Discharges for Disease of the Respiratory System
Relative Risks Used in the Study Note: “-” no data available in the literature to determine a relative risk * relative risks obtained from Sahsuvaroglu and Jerrett (2003) as no new data available
Model Equation • Risk (due AQ) = ER[excess relative risk due to AQ] x [baseline rates] • = [ERR (per unit Concentration)] x [Air concentration] x [ baseline rates]
Note: PM10, NO2 and O3 Respiratory Hospital Admissions Adjusted by 42% as Using RR Values from 2003 Study Respiratory HospitalAdmissions
Note: SO2 and CO Cardiovascular Hospital Admissions Adjusted by 42% as Using RR Values from 2003 Study Note: PM10, NO2 and O3 Respiratory Hospital Admissions Adjusted by 42% as Using RR Values from 2003 Study Cardiovascular HospitalAdmissions
Results Summary for Particulate Matter Note: No relative risks from literature for respiratory admissions for PM2.5
Results Summary for NO2 and SO2
Results Summary for O3 and CO Note: No relative risks from literature for respiratory admissions for CO
Comparison of Relative Risks Between Current and Previous Studies
Comparison of Mortality Outcomes • Note: • All 1997 and 2003 study data adjusted by 42% to account for overestimation of RR values
Comparison of Respiratory Outcomes • Note: • All 1997 and 2003 study data adjusted by 42% to account for overestimation of RR values • PM10, NO2 and O3 current study values adjusted by 42% as no updated RR values were available
Comparison of Cardiovascular Outcomes • Note: • All 1997 and 2003 study data adjusted by 42% to account for overestimation of RR values • SO2 and CO current study values adjusted by 42% as no updated RR values were available
Alternative Models - ICAP • Details: • Developed by DSS Management Consultants for the Canadian Medical Association • PM10, PM2.5, SO2, NO2, CO, O3 • Historical census division specific air quality data from NAPS stations • Input: risk rates, air quality or trends, baseline/background air quality • Output: annual events and economic damages attributable to increase in specific parameter level from baseline/background
Alternative Models – ICAP… cont’d • Limitations for this application: • 2006 starting year complicates comparison with current model • Cannot easily calculate incremental benefit or savings (damages only) • For this study can only demonstrate incremental health effects and economic impact with ozone as benefits associated with other pollutants • Cannot evaluate all pollutants in one run • Output format inconvenient to work with • Evaluates total mortality only (not chronic and acute separately)
Comparison of Relative Risks Between Current Studyand ICAP * ICAP NT Mortality is Total While Current is Acute Only
Alternative Model - AQBAT • Details: • Developed by Dave Stieb and Stan Judek, Health Canada • PM10, PM2.5 (limited), SO2, NO2, CO, O3 • Historical census division specific air quality data from NAPS stations • Input: risk rates and air quality or trends • Output: annual events and damages attributable to increase in specific parameter level from baseline • Limitations for this application: • Cannot Input Air Quality Prior to 2003 for Comparison to Baseline • Difficult to Compare to Total Events per Year
Comparison of Relative Risks Between Current Study and AQBAT
Economic Valuation - AQBAT Millions of Dollars Savings Cost
Summary • Updated Health Study showed improvements to health outcomes • Due to decreases in air concentrations • Ozone the exception • Due to decreases in relative risks from literature studies • Limited utility of other available models for this application • Direct comparisons difficult to make between models • Cost heavily dependent on model • Can vary widely (in this example at least 5-fold) • Should update the health study in another 5 years