Challenges in Locating Sensors for Monitoring Ozone Exposure: A Decision Support System for Population-based Sensor Placement

Authors: Kari Northeim*, University of North Texas
Topics: Environmental Science, Geography and Urban Health, Medical and Health Geography
Keywords: Ozone, location-allocation, quad-tree, decision support systems, pollution sensors, TCEQ
Session Type: Poster
Day: 4/13/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Napoleon Foyer/Common St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


The Dallas-Ft. Worth (DFW) region fails to meet the National Ambient Air Quality Standards (NAAQS) set by the EPA for ozone.  Location strategies for sensor placement have generally ignored population density and have not considered population growth. Consequently, current locations of sensors fail to provide an accurate assessment of ozone concentrations in the DFW area. Due to the rapidly growing population in DFW, increased spatial coverage of pollution sensors is needed. This research uses GIS, population-derived quad-tree partition, and existing locations of TCEQ sensors to develop a decision support system for population-based sensor placement.

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