Evaluation of heavy metal distribution and pollution indicators in the soils of Konya Province (Turkey): a case study of Seydişehir and Beyşehir Districts

ÖZAYDIN ÖZKARA R., EKE C.

Environmental Monitoring and Assessment, cilt.198, sa.2, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 198 Sayı: 2
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/s10661-026-15001-0
  • Dergi Adı: Environmental Monitoring and Assessment
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, BIOSIS, Compendex, EMBASE, Environment Index, Geobase, Greenfile, MEDLINE, Public Affairs Index, Urban Studies Abstracts
  • Anahtar Kelimeler: Contamination Factor (CF), Enrichment Factor (EF), Heavy metal, Index of Geoaccumulation (Igeo), Nemerow Pollution Index (PN), Soil pollution, X-ray Fluorescence (XRF)
  • Akdeniz Üniversitesi Adresli: Evet

Özet

This study aims to determine the spatial distribution and potential pollution levels of heavy metals (Cr, Mn, Ni, Cu, Zn, and Pb) in soils between Seydişehir and Beyşehir in Konya Province, Türkiye. A total of 20 soil samples were analyzed for heavy metal contents along with physicochemical parameters such as pH, organic matter, and electrical conductivity. Soil pH values ranged from 6.29 to 7.63, indicating generally neutral conditions. Ni and Pb exhibited the highest accumulation tendencies on a regional scale, while Cr and Mn showed localized enrichments in certain samples. Spatial distribution analyses revealed a heterogeneous pattern of heavy metal concentrations, reflecting the influence of localized environmental pressures. The Pollution Index (PN) values indicated that most samples are under moderate environmental stress, with samples 11, 17, 18, and 20 showing a higher pollution potential. The strong correlation observed between Cr and Ni (r = 0.79) suggests that these elements may originate from common anthropogenic sources. This research provides the first comprehensive baseline dataset for the region’s soils and offers valuable insights for future monitoring, source identification, and sustainable land management strategies.