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UID:pretalx-foss4g-europe-2026-NJBTKW@talks.osgeo.org
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DESCRIPTION:This presentation introduces an integrated GIS–AHP framework 
 for the spatial assessment of heavy metal (Cd\, Pb\, Ni) pollution risk in
  Serbian surface waters. Using data from 54 monitoring sites over 2019–2
 023\, four complementary risk indices—Total Pollution Index (TPI)\, Bioa
 vailability Index (BI)\, Trend Index (IT)\, and Regulatory Risk Index (RRI
 )—were calculated and integrated via the Analytic Hierarchy Process (AHP
 ). The study identifies five high-risk locations influenced by mining\, in
 dustrial\, and urban pressures\, while 75.9% of sites remain in low-risk c
 ategories. Spatial statistics using Getis‑Ord Gi* reveal significant clu
 sters\, highlighting critical areas requiring targeted monitoring and mana
 gement. This approach demonstrates the utility of combining GIS and multi-
 criteria decision analysis for environmental risk assessment and can serve
  as a model for other regions and contaminants.
DTSTAMP:20260605T011141Z
LOCATION:A12
SUMMARY:Spatial Risk Assessment of Surface Water Heavy Metal Pollution Usin
 g GIS–AHP in Serbia - Jelena Lukić
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/NJBTKW/
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