A machine learning interpretation of the correlation between poverty and air pollution in the contiguous United States
Abstract The correlation between poverty and air pollution in the contiguous United States is a widely debated issue, often suggesting that impoverished areas suffer higher pollution levels due to socioeconomic disparities. However, existing studies frequently lack the integration of advanced analyt...
Saved in:
Main Authors: | Sajeev Magesh, Kevin Geng |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87150-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Increasing Health Burdens Driven by Global Trade Induced Air Pollution
by: Ruifei Li, et al.
Published: (2025-01-01) -
The method of preliminary localization of source of excessive air pollution to increase effectiveness of environmental monitoring and supervision in Russia
by: L. O. Shtripling, et al.
Published: (2019-06-01) -
How Does Air Pollution Threaten Basic Human Rights? The Case Study of Bulgaria
by: Aylin Ahmedova
Published: (2016-07-01) -
Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India
by: Saroj Kumar Sahu, et al.
Published: (2023-07-01) -
Examining air pollution dynamics in Ploiesti: a focus on vehicular emissions
by: Georgeta-Olguta Gavrila, et al.
Published: (2024-12-01)