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Related Concept Videos

Sampling Plans01:23

Sampling Plans

308
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...
308
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

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Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
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Related Experiment Video

Updated: Sep 29, 2025

Automated, High-resolution Mobile Collection System for the Nitrogen Isotopic Analysis of NOx
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Sampling Low Air Pollution Concentrations at a Neighborhood Scale in a Desert U.S. Metropolis with Volatile Weather

Nathan Lothrop1, Nicolas Lopez-Galvez1,2, Robert A Canales3

  • 1Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85721, USA.

International Journal of Environmental Research and Public Health
|March 25, 2022
PubMed
Summary

Neighborhood air sampling methods were tested in Tucson, AZ, a low-pollution desert city with extreme weather. Results showed challenges with particulate matter measurements, highlighting the need to reevaluate methods for climate change adaptation.

Keywords:
air pollution monitoringclimate changeoxides of nitrogenparticulate matter

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Area of Science:

  • Environmental Science
  • Air Quality Monitoring
  • Climate Change Adaptation

Background:

  • Neighborhood-scale air pollution sampling methods are underutilized in low-pollution environments experiencing extreme weather.
  • Climate change is increasing the prevalence of volatile weather patterns, extreme heat, and aridity.
  • Tucson, AZ, a desert metropolis with historically low air pollution and volatile weather, offers a unique setting for method evaluation.

Purpose of the Study:

  • To adapt and evaluate neighborhood-scale air pollution sampling methods in a low-pollution airshed with extreme climate conditions.
  • To assess the feasibility and accuracy of measuring ambient nitrogen dioxide (NO2), nitrogen oxides (NOx), and particulate matter (PM2.5 and PM10) in a unique environmental setting.

Main Methods:

  • Adapted established neighborhood-scale air pollution sampling techniques.
  • Deployed methods in Tucson, AZ, to measure ambient NO2, NOx, PM2.5, and PM10.
  • Compared measurements with collocated reference monitors where applicable.

Main Results:

  • Air pollution concentrations in Tucson were significantly below regulatory guidelines.
  • Measurements of NO2 and NOx were reliable.
  • PM2.5 measurements showed moderate correlation with a reference monitor (r = 0.41, p = 0.13), potentially due to sampling artifacts and operational factors.

Conclusions:

  • Sampling methods require reevaluation for accuracy and precision, particularly non-continuous methods, as climate change progresses.
  • Accurate assessment of low air pollution concentrations is crucial for understanding health outcomes.
  • Methodological adaptations are necessary for effective air quality monitoring in diverse and changing climatic conditions.