Data analysis of Air Quality: A Study of Low-Cost Sensors in Heilbronn, Germany

Air pollution is one of the most critical global environmental issues, with significant impacts on human health and ecosystems. Each year, millions of deaths are recorded due to poor air quality, along with high economic costs related to the treatment of pollution-induced diseases. While professiona...

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Autores:
Chavarría Guzmán, Karolayn
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2025
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/48254
Acceso en línea:
https://hdl.handle.net/10495/48254
Palabra clave:
Air pollution
Contaminación atmosférica
Health policy
Política de la salud
Air quality
Calidad del aire
Environment
Medio ambiente
http://aims.fao.org/aos/agrovoc/c_a2ef545f
http://aims.fao.org/aos/agrovoc/c_2593
http://vocabularies.unesco.org/thesaurus/concept1946
http://vocabularies.unesco.org/thesaurus/concept11757
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Air pollution is one of the most critical global environmental issues, with significant impacts on human health and ecosystems. Each year, millions of deaths are recorded due to poor air quality, along with high economic costs related to the treatment of pollution-induced diseases. While professional air quality monitoring stations are effective, their high cost limits their deployment in many areas. In response, low-cost sensors have emerged, which, although affordable, face challenges regarding accuracy and calibration. This study focuses on the analysis of data collected over five and half weeks by three low-cost sensors at the LUBW Station Heilbronn, aiming to compare the results with the reference data from the station. The findings will help identify the most suitable calibration methods to improve the quality of the information provided by these sensors.