| Autor: |
Kavee, Korawich, Montero, Guillermo, Kirsch Tornell, Jacobo |
| Rok vydání: |
2023 |
| DOI: |
10.6084/m9.figshare.22580290 |
| Popis: |
This pre-print paper proposes a database design for tracking transportation-caused air pollution in Pittsburgh. It utilizes historical data to predict air quality based on traffic density and encourages local governments to use SQL data management for efficient studies on air pollution. Future research can use the proposed database design to establish a relationship between AQI and automobile traffic density. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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