Urban vs. Rural Atlanta An assessment of : 1)PM2.5 composition and trends 2)The Atlanta Urban Heat Island Effect.

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Presentation transcript:

Urban vs. Rural Atlanta An assessment of : 1)PM2.5 composition and trends 2)The Atlanta Urban Heat Island Effect

Outline Part I: PM2.5 Compositional analysis and trends ▫Background ▫Assessment ▫Composition ▫Spatial and temporal Analysis ▫Monthly Analysis ▫Meteorological Correlations Part II: Urban Heat Island Index and Effect ▫Background ▫Diurnal UHI in urban vs. rural environment ▫Meteorological Correlations Part III: Conclusions

Part I: PM 2.5 : Why are we so concerned? Aerosols PM ▫Environmental Issues ▫Health Risks PM 2.5 ▫Humans inhale it ▫It diffuses Primary and secondary origin ▫Formation poorly understood

PM 2.5 Assessment Part of Georgia Tech’s ASACA project 3 sites ▫Fire Station 8 (FSE) (urban) (Daily) ▫South Dekalb (SD) (urban) (Daily) ▫Yargo (YG) (rural) (1 in 3 days) 3 filter types ▫Quartz (EC/OC analysis) ▫Nylon (wsioi and ions)  Na +, NH 4 +,K +,Ca 2+,Cl -, NO 2 -, NO 3 -, SO 4 2-, CH 3 COO -, HCOO -, C 2 O 4 2- ▫Teflon (trace metals) PCM, IC, TOT, TEOM, aeth. Only 2012 data analyzed Figure 1: Map of the three different sampling sites. A: Fort Yargo State Park, B: Fire Station Eight, C: South Dekalb site

PM 2.5 Composition in 2012

PM 2.5 Analysis: Spatial and temporal

R Square0.833 Adjusted R Square0.826 Standard Error0.189 CoefficientsStandard ErrorP-value Intercept X Variable E-11

PM 2.5 Analysis: Monthly

PM 2.5 Analysis: Meteorological Correlations

PM 2.5 : Meteorological Correlations Regression Statistics R Square Adjusted R Square Standard Error4.727 CoefficientsStandard ErrorP-value Intercept E-07 X Variable Regression Statistics R Square0.12 Adjusted R Square Standard Error4.785 CoefficientsStandard ErrorP-value Intercept E-82 X Variable E-12

Part II: Urban Heat Island Index and Effect Urban Area Temperature > Rural Area Temperature ▫Population density, geography, building structure and material, vegetation ▫Urban cities trap radiation near the surface  Large differences in solar radiation and heat and water balances

Urban Atlanta Albedo

Diurnal UHI in Urban vs Rural Sites January 16 February 16 May 1November 7

UHII vs Meteorological Correlations Regression Statistics Adjusted R Square Standard Error1.910 CoefficientsStandard ErrorP-value Intercept E-47 X Variable E-23 Regression Statistics Adjusted R Square Standard Error Coefficients Standard Error P-value Intercept E-174 X Variable E-11

To sum up… PM 2.5 is of concern in both urban and rural Atlanta ▫Although composition similar, concentrations need to be monitored ▫Meteorological factors play a big role Atlanta is a hub for UHI ▫More attention needed in diurnal changed in meteorological patterns A lot can change in a small distance!

Special Thanks to ASACA team ▫Jeremiah Redman ▫Kyle Digby ▫Boris Galvis

References Bell, et al. "Spatial and Temporal Variation in PM2.5 Chemical Composition in the United States for Health Effects Studies." Environmental Health Perspectives: n. pag. Print. Chow, et al. "PM2.5 chemical composition and spatiotemporal variability during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS)." Journal of Geophysical Research Atmospheres: n. pag. Print. Clarke, Azadi-Boogar, and Andrews. "Particle size and chemical composition of urban aerosols." Science of the Total Environment: n. pag. Print. Kim. "Urban Heat Island." International Journal of Remote Sensing (1992): n. pag. Print. Myrup. "A Numerical Model of the Urban Heat Island." American Meteorology Society: n. pag. Print. Myrup, Leonard. "A Numerical Model of Urban Heat Island." Journal of Applied Meteorology: n. pag. Print. The Urban Environment. N.p., n.d. Web. 24 Apr Weng, Lu, and Schubring. "Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies." Remote Sensing of Environment 89.4 (2004): n. pag. Print.

Any questions? Thanks for listening!