A Multi-Pollutant Air Quality Analysis with Environmental Justice Considerations: Case Study for Detroit DOI Open Access
Hui Yuan,

Ji-Cheng Jang,

Shicheng Long

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6931 - 6931

Published: Aug. 13, 2024

Over the last two decades, substantial studies have been conducted to assess feasibility of a multi-pollutant strategy for managing air quality in United States. Given inherent complexity challenges, including fine particulate matter (PM2.5), ozone (O3), and toxics, this paper undertook analysis at both national local levels. Our incorporated O3 PM2.5 concentrations, toxics that increase risk cancer, environmental justice (EJ) data, emissions monitoring data. Initially, we identified counties across continental U.S. with heightened exposures EJ concerns. Subsequently, case study within Detroit metropolitan area was conducted, revealing clear overlap between issues, underscoring disproportionate burden on disadvantaged communities. The detailed data unveiled potential co-control benefits region. Lastly, employing proximity method, assessed issues surrounding points interest such as sites sectors, area. results demonstrated highest value, alongside top-ranked sectors electric utilities, coke ovens, iron steel production, were likely exhibit elevated pollutant concentrations/risks associated concerns their vicinity.

Language: Английский

SHERPA-Cloud: An open-source online model to simulate air quality management policies in Europe DOI Creative Commons
Enrico Pisoni,

Davide De Marchi,

Alberto di Taranto

et al.

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 176, P. 106031 - 106031

Published: March 27, 2024

In this manuscript we present the SHERPA-Cloud online simplified air quality model, which is an evolution of previous offline SHERPA model. SHERPA-cloud a meta-model full Chemical Transport Model, and can be used to screen how policies would impact quality. The main advantage (in comparison model version) are its speed (5 time faster than version), accessibility (permanent availability) easier more cost-effective maintenance (automatic updates shared easily, tool developments facilitated). From IT infrastructure technologies points view, based on in-house cloud system called BDAP (Big Data Analytic Platform) provides 'JupyterLab' service tools create dashboards using 'Voilà' technology. useful easy-to-use in hands policy makers, citizens, NGOs industries, that allows for interactive participative developments. Indeed, it quickly identify quantify changes resulting from implementing emission reduction strategies, terms either geographical or sectoral policies.

Language: Английский

Citations

6
The Concawe NO2 Source Apportionment Viewer: a web-application to mitigate NO2 pollution from traffic and other sources DOI Creative Commons
Bart Degraeuwe,

Robin Houdmeyers,

Stijn Janssen

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106315 - 106315

Published: Jan. 1, 2025

Language: Английский

Citations

0
PolarBytes: Advancing Polar Research with a Centralized Open-Source Data Sharing Platform DOI

Nur Haznirah Hazman,

Rohaizaazira Mohd Zawawi,

Ainin Sofia Jusoh

et al.

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106325 - 106325

Published: Jan. 1, 2025

Language: Английский

Citations

0
A Multi-Pollutant Air Quality Analysis with Environmental Justice Considerations: Case Study for Detroit DOI Open Access
Hui Yuan,

Ji-Cheng Jang,

Shicheng Long

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6931 - 6931

Published: Aug. 13, 2024

Over the last two decades, substantial studies have been conducted to assess feasibility of a multi-pollutant strategy for managing air quality in United States. Given inherent complexity challenges, including fine particulate matter (PM2.5), ozone (O3), and toxics, this paper undertook analysis at both national local levels. Our incorporated O3 PM2.5 concentrations, toxics that increase risk cancer, environmental justice (EJ) data, emissions monitoring data. Initially, we identified counties across continental U.S. with heightened exposures EJ concerns. Subsequently, case study within Detroit metropolitan area was conducted, revealing clear overlap between issues, underscoring disproportionate burden on disadvantaged communities. The detailed data unveiled potential co-control benefits region. Lastly, employing proximity method, assessed issues surrounding points interest such as sites sectors, area. results demonstrated highest value, alongside top-ranked sectors electric utilities, coke ovens, iron steel production, were likely exhibit elevated pollutant concentrations/risks associated concerns their vicinity.

Language: Английский

Citations

0