A GeoHealth Call to Action: Moving Beyond Identifying Environmental Injustices to Co‐Creating Solutions

Hoffman-Hall, A.; Gorris, Morgan E.; Anenberg, Susan C.; Bredder, Allison; Dhaliwal, J. K.; Diaz, Melisa A.; Fortner, Sarah K.; McAdoo, Brian G.; Reano, Darryl; Rehr, Rebecca C.; Roop, H. A.; Zaitchik, Benjamin F.

doi:10.1029/2022gh000706

Cited by 3 publications

(2 citation statements)

References 45 publications

(58 reference statements)

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“…This adds to emerging guidance from the U.S. Government, for example, the Interagency Arctic Research Policy Committee Principles for Conducting Research in the Arctic (IARP, 2018 ). These strategies are essential for creating informative and policy‐relevant science and also for using science to meaningfully advance environmental justice (Hoffman‐Hall et al., 2022 ).…”

Section: Strategies To Increase the Policy Benefits Of Geohealth Rese...mentioning

confidence: 99%

Geohealth Policy Benefits Are Mediated by Interacting Natural, Engineered, and Social Processes

Calder,

Schartup

2023

GeoHealth

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Interest in health implications of Earth science research has significantly increased. Articles frequently dispense policy advice, for example, to reduce human contaminant exposures. Recommendations such as fish consumption advisories rarely reflect causal reasoning around tradeoffs or anticipate how scientific information will be received and processed by the media or vulnerable communities. Health is the product of interacting social and physical processes, yet predictable responses are often overlooked. Analysis of physical and social mechanisms, and health and non‐health tradeoffs, is needed to achieve policy benefits rather than “policy impact.” Dedicated funding mechanisms would improve the quality and availability of these analyses.

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Section: Strategies To Increase the Policy Benefits Of Geohealth Rese...mentioning

confidence: 99%

Geohealth Policy Benefits Are Mediated by Interacting Natural, Engineered, and Social Processes

Calder,

Schartup

2023

GeoHealth

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“…The NO2 burden of disease, however, is significantly lower than that of PM2.5 (Anenberg et al, 2018). While public health air pollution studies and recent NO2 work are useful in diagnosing environmental injustice, this increased focus on identifying inequality issues may neglect to design solutions for these issues (Hoffman-Hall et al, 2022;Levy, 2021). Given the heightened risk of racial minorities and low SES groups to PM2.5 pollution in the United States, a PM2.5 sensor network biased toward wealthier or whiter communities may lead to mischaracterizations of exposures and inaccurate assessment of the health impacts of such pollution.…”

Section: Introductionmentioning

confidence: 99%

Data-driven placement of PM2.5 air quality sensors in the United States: An approach to target urban environmental injustice

Kelp¹,

Fargiano²,

Lin³

et al. 2023

Preprint

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In the United States, citizens and policymakers heavily rely upon Environmental Protection Agency (EPA) 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, 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 matter (PM2.5) sensors in four U.S. cities with histories of racial or income segregation: St. Louis, Houston, Boston, and Buffalo. This novel approach incorporates the variation of PM2.5 on timescales ranging from one day to over a decade to capture air pollution variability. We also introduce a cost function into the sensor placement optimization that represents the balance between our objectives of capturing PM2.5 extremes and increasing pollution monitoring in low-income and nonwhite areas. We find that the mrDMDcc algorithm places a greater number of sensors in historically low-income and nonwhite neighborhoods with known environmental pollution problems compared to networks using PM2.5 information alone. Our work provides a roadmap for the creation of equitable sensor networks in U.S. cities and offers a guide for democratizing air pollution data through increasing spatial coverage of low-cost sensors in less privileged communities.

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“People Should Not Have to Live Under These Conditions”: Using Focus Groups to Inform the Development of a Community-Led Intervention Addressing Air Quality and Health Equity

Williams,

Zuberi,

Hyatt-Burkhart

et al. 2023

Environmental Justice

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A GeoHealth Call to Action: Moving Beyond Identifying Environmental Injustices to Co‐Creating Solutions

Cited by 3 publications

References 45 publications

Geohealth Policy Benefits Are Mediated by Interacting Natural, Engineered, and Social Processes

Geohealth Policy Benefits Are Mediated by Interacting Natural, Engineered, and Social Processes

Data-driven placement of PM2.5 air quality sensors in the United States: An approach to target urban environmental injustice

“People Should Not Have to Live Under These Conditions”: Using Focus Groups to Inform the Development of a Community-Led Intervention Addressing Air Quality and Health Equity

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