AIR POLUTTION – CASE STUDY Podgorica UB

AUTOR(I) / AUTHOR(S): Biljana Stamatovic , Sinisa Stamatovic

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DOI:  10.46793/ALFATECHproc25.016S

SAŽETAK / ABSTRACT:

In December 2024, the EU defined new rules of air quality standards by cutting allowed limit values. Five years’ data about air pollutants, PM2.5, PM10, and SO2, are extracted from the measuring station in Podgorica – Podgorica UB. Analysis of the data is presented. The study used classical statistical analysis and machine learning K-mean and K-medoid methods to classify data and to make conclusions about air quality and air pollutants in Podgorica.

KLJUČNE REČI / KEYWORDS:

Statistics, data analysis, K-mean, K-monoid

PROJEKAT / ACKNOWLEDGEMENT:

LITERATURA / REFERENCES:

• Directive (EU) 2024/2881 of the European Parliament and of the Council of 23 October 2024 on ambient air quality and cleaner air for Europe (recast)
• See https://environment.ec.europa.eu/news/new-pollution-rulescome-effect-cleaner-air-2030-2024-12-10_en
• See https://www.who.int/publications/i/item/9789240034228
• See https://www.who.int/teams/environment-climate-change-andhealth/air-quality-energy-and-health/health-impacts
• See https://www.epa.org.me/vazduh/
• See https://www.epa.gov/so2-pollution/sulfur-dioxide-basics.
• See https://ww2.arb.ca.gov/resources/inhalable-particulatematter-and-health
• See https://rpubs.com/folwalsh/UL
• See https://www.simplilearn.com/tutorials/machine-learningtutorial/k-means-clustering-algorithm