Data-Driven Placement of PM_2.5 Air Quality Sensors in the United States: An Approach to Target Urban Environmental Injustice.

ABSTRACT: In the United States, citizens and policymakers heavily rely upon Environmental Protection Agency mandated regulatory networks to monitor air pollution; increasingly they also depend on low-cost sensor networks to supplement spatial gaps in regulatory monitor networks coverage. Although these regulatory and low-cost networks in tandem provide enhanced spatiotemporal coverage in urban areas, low-cost sensors are located often in higher income, predominantly White areas. Such disparity in coverage may exacerbate existing inequalities and impact the ability of different communities to respond to the threat of air pollution. Here we present a study using cost-constrained multiresolution dynamic mode decomposition (mrDMDcc) to identify the optimal and equitable placement of fine particulate mat

SUBMITTER: Kelp MM 

PROVIDER: S-EPMC10499371 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature