Skip to main navigation Skip to search Skip to main content

Evaluating Fine-Scale Air-Quality Heterogeneity Using a Low-Cost Multipollutant Sensor Network in Twin Cities, Minnesota

  • Varuni Abhayaratne
  • , Weixing Hao
  • , Chen Ye
  • , Anjana Yatawara
  • , Philip K. Hopke
  • , Jiayu Li
  • , Yang Wang
  • Missouri University of Science and Technology
  • Univ. of Miami
  • California State University Bakersfield
  • Clarkson University
  • University of Rochester

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1057-1068
Number of pages12
JournalACS ES&T Air
Volume3
Issue number4
DOIs
StatePublished - Apr 10 2026
Externally publishedYes

ASJC Scopus Subject Areas

  • Atmospheric Science
  • Pollution
  • Environmental Science (miscellaneous)
  • Environmental Chemistry
  • Environmental Engineering
  • Health, Toxicology and Mutagenesis
  • Chemistry (miscellaneous)

Keywords

  • AQMesh
  • conditional bivariate probability function
  • environmental justice
  • low-cost sensor network
  • spatial heterogeneity
  • urban air quality

Fingerprint

Dive into the research topics of 'Evaluating Fine-Scale Air-Quality Heterogeneity Using a Low-Cost Multipollutant Sensor Network in Twin Cities, Minnesota'. Together they form a unique fingerprint.

Cite this