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Abstract
The primary focus of this research is to establish a link between air quality, weather patterns, and climate dynamics. Employing a correlative methodology, the study aims to investigate the association between air pollution levels and the occurrence frequency of acid rain events. To accomplish this, extensive quantitative meteorological data gathered from weather stations situated in the Midwestern United States over a span of five years will be analyzed. The ultimate objective of this research paper is to underscore the significance of incorporating air particulate matter considerations in weather forecasting and prediction models, highlighting its potential implications for making atmospheric and weather assessments.
DOI
https://doi.org/10.31223/X5ZT1R
Subjects
Chemistry, Oceanography and Atmospheric Sciences and Meteorology
Keywords
acid rain, acid deposition, weather prediction, air pollution, machine learning
Dates
Published: 2023-08-11 02:58
Last Updated: 2023-08-11 09:58
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability (Reason not available):
https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc%3AC00532/html
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