Work

Predicting odor nuisance levels using meteorological data and citizen complaints records: A machine learning approach

Year: 2025

Type: article

Source: Atmospheric Pollution Research

DOI: 10.1016/j.apr.2025.102809

Authors: Meltem Apaydın Üstün, Can Burak Özkal

Institution: Tekirdağ Namık Kemal University

Language: English

Topic: Odor and Emission Control Technologies

Subfield: Process Chemistry and Technology

Field: Chemical Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: Ministry of Environment, Tekirdağ Namık Kemal Üniversitesi

Award: G6192540529

OpenAlex ID: W4415890479

FWCI:

Cites: 39

Cited by:

Related to: 10