Adam Pacsi GISWR 2011, 11/17/2011 Fine Particulate Matter Concentrations in the Dallas-Fort Worth Area Adam Pacsi.

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Presentation transcript:

Adam Pacsi GISWR 2011, 11/17/2011 Fine Particulate Matter Concentrations in the Dallas-Fort Worth Area Adam Pacsi

GISWR 2011, 11/17/2011 Background Liquid/Solid Condensed Phase in Air Fine = less than 2.5 microns in diameter Found to trend like ozone in most US Cities Regulation: < 15 µg/m³ for a daily average Courtesy: TCEQ

Adam Pacsi GISWR 2011, 11/17/2011 Motivation Health Effects: asthma and overall morbidity Overall visibility and appearance Funding for monitoring of PM 2.5 has been reduced since 2000 Courtesy: texasdailyphoto.com

Adam Pacsi GISWR 2011, 11/17/2011 Research Problem Determine new PM monitoring sites from current ozone sites in DFW Criteria: 1.Predicted PM Concentration (from ozone levels) 2.The Distance from a current PM site 3.Local Population Density

Adam Pacsi GISWR 2011, 11/17/2011 Current Monitoring Sites Legend PM Ozone Current Number of Sites PM: 8 Ozone: 20

Adam Pacsi GISWR 2011, 11/17/2011 Sources of Data TCEQ – Monitor Locations – Average Ozone Concentrations ESRI 2000 TIGER/Line Data – Census tract shapefiles – Tract population data Courtesy: ESRI Note: All datasets were in NAD83 and needed to be converted to Albers Projection from Exercise 1.

Adam Pacsi GISWR 2011, 11/17/2011 Methods: Population Density Census Tracts Population by Tract Population Density Census Tract Database File Table Join Field Calculator

Adam Pacsi GISWR 2011, 11/17/2011 Methods: Distance Census Tract Data Tract Data as Center Point Distance to Current PM Site PM Monitor Locations Near Mean Center

Adam Pacsi GISWR 2011, 11/17/2011 Methods: Ozone Concentration Ozone Values at Monitoring Sites Interpolated Ozone Raster (float) Interpolated Ozone Raster (int) Ozone Raster Values as Points Ozone Values by Tract Center IDW Kriging Natural Neighbor Int Raster to Point Near Table Join IDW Ozone Value by Tract Census Tract Center Points

Adam Pacsi GISWR 2011, 11/17/2011 Methods: Categorizing Problem: Differing scales for parameters even when normalized Solution: Categorizing Data each parameter 1.x < Mean - 2σ 2.Mean-2σ < x < Mean–σ 3.Mean-σ < x < Mean+σ 4.Mean+σ < x < Mean+2σ 5.x > Mean+2σ VB Script in Field Calculator

Adam Pacsi GISWR 2011, 11/17/2011 Results: Spatial Distribution IDW Added the categorized values to get a score out of 15.

Adam Pacsi GISWR 2011, 11/17/2011 Results: Which Sites?