Jelena Lukić
Jelena Lukić is a GIS Analyst and environmental professional from Belgrade, Serbia, with over a decade of experience in environmental monitoring and laboratory analysis. She holds an MSc in Geographic Information Systems from the University of Belgrade (2026), where her master’s thesis focused on spatial risk assessment of heavy metal pollution in surface waters using GIS‑AHP and Getis‑Ord Gi* cluster analysis.
At the City Institute of Public Health, she managed water, soil, and air quality assessments in compliance with ISO 17025, combining rigorous laboratory science with a data-driven perspective on environmental challenges. Her work integrates multi-criteria decision analysis (AHP) with spatial statistics to identify contamination patterns and assess environmental risk using open-source tools such as QGIS.
At FOSS4G Europe, Jelena will present the outcomes of her master’s research, demonstrating how open-source geospatial tools can transform complex environmental data into actionable insights for monitoring, regulatory compliance, and sustainable management. She is passionate about making advanced GIS methods accessible and practical for real-world environmental protection.
Session
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 2019–2023, four complementary risk indices—Total Pollution Index (TPI), Bioavailability 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, industrial, and urban pressures, while 75.9% of sites remain in low-risk categories. Spatial statistics using Getis‑Ord Gi* reveal significant clusters, highlighting critical areas requiring targeted monitoring and management. 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.