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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Characterizing Elevated Urban Air Pollutant Spatial Patterns with Mobile Monitoring in Houston, Texas.

David J Miller1, Blake Actkinson2, Lauren Padilla1

  • 1Environmental Defense Fund , 257 Park Avenue South , New York , New York 10010 , United States.

Environmental Science & Technology
|January 30, 2020
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Summary
This summary is machine-generated.

Mobile monitoring in Houston revealed elevated air pollution, including nitrogen oxides and black carbon, in all sampled areas. This study highlights how mobile monitoring can identify pollution hotspots near industrial facilities and highways.

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Area of Science:

  • Environmental Science
  • Public Health
  • Atmospheric Chemistry

Background:

  • Urban air pollution sources are diverse and spatially variable, impacting public health.
  • Mobile monitoring offers potential for understanding spatial pollutant patterns.
  • Uncertainties in mobile monitoring data may limit the identification of elevated pollution locations.

Purpose of the Study:

  • To assess the effectiveness of mobile monitoring in identifying elevated pollution locations despite sampling uncertainties.
  • To quantify pollution behaviors (persistent, intermittent, extreme) at fine spatial scales.
  • To compare pollution levels near industrial facilities with those near highways.

Main Methods:

  • Analysis of 9 months of repeated weekday daytime mobile measurements of black carbon (BC), particle number (PN), and nitrogen oxides (NO, NO2) in Houston, Texas.
  • Quantification of pollutant concentrations at 50 m (surface streets) and 90 m (highways) road segments.
  • Comparison of segment concentrations to domain-wide medians and uncertainty levels (±40%).

Main Results:

  • Elevated concentrations (above ±40% uncertainty) found in every census tract.
  • Median concentration increases of 2–3× for NO2 and >9× for NO.
  • Distinct spatial patterns observed for PN; elevated BC and NO near industrial facilities comparable to highway proximity.

Conclusions:

  • Extensive mobile monitoring can quantitatively characterize urban air pollution source patterns.
  • Results demonstrate the utility of mobile monitoring for identifying pollution hotspots.
  • Findings are applicable to developing effective source mitigation policies for urban air quality.