Assessment of environmental odor pollution using a dispersion model in an industrialized urban area of Kocaeli, Turkey


Yuksel B. E., ÇETİN DOĞRUPARMAK Ş., PEKEY B., PEKEY H.

CLEAN-SOIL AIR WATER, vol.52, no.5, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 52 Issue: 5
  • Publication Date: 2024
  • Doi Number: 10.1002/clen.202300221
  • Journal Name: CLEAN-SOIL AIR WATER
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Environment Index, Geobase, Greenfile, INSPEC, Pollution Abstracts, Veterinary Science Database
  • Keywords: dispersion modeling, odor pollution, olfactometry, statistical analysis, survey
  • Kocaeli University Affiliated: Yes

Abstract

The main goal of the present study was to highlight how crucial odor evaluation methods may be for raising the general standard of living in a region. For this, the dispersion of odor concentrations detected by an olfactometric method in an area of Kocaeli, Turkey, where odor problems are frequently experienced, was investigated using the AERMOD atmospheric dispersion modeling system. According to the findings of the olfactometric measurement, the mean odor concentrations in the industrial area was high at 1342 OU m(-3), while in the residential areas the values were lower, at 578 OU m(-3) within the selected study area. As a result of the modeling study, the maximum odor concentration was 2081 OU m(-3) at the 1 h. The model also showed that the coordinate points where the maximum odor concentration was observed changed with time, and that the concentrations recorded at the 1 h may decrease by as much as 88%-91% at the 24 h. In the study, a survey was also conducted to identify possible effects of odor pollution on people. The survey findings showed a statistically significant difference (p < 0.05) between the two areas (industrial and residential) for seven variables of a total 28. We suggest that measuring odor concentrations, modeling their distribution, and conducting surveys are effective methods when managing the urban planning process.