Topic: Environmental Exposure Modelling and Risk Analysis

Environmental exposure to chemical and physical agents—ranging from legacy pollutants to emerging contaminants—remains a critical driver of environmental and human health risks. Understanding the sources, pathways, and fate of these hazards is essential for effective prevention and management. This Special Issue, Environmental Exposure Modelling and Risk Analysis, aims to bring together cutting-edge research that advances exposure modelling, identifies high-priority sources of risk, and integrates multi-scale data for improved prediction and intervention. Topics include contaminant source apportionment and tracing techniques, multimedia and spatiotemporal exposure modelling, big data and AI-based environmental monitoring, and risk assessment linking environmental burdens to health and ecological outcomes. By fostering interdisciplinary perspectives from environmental science, engineering, public health, and policy, this issue seeks to bridge methodological innovation with practical solutions for global environmental challenges.

This Special Issue covers a broad spectrum of topics, including but not limited to:

● Advanced Environmental Exposure Modelling;

● Source Apportionment and Risk Attribution;

● Emerging Contaminants and Complex Mixtures;

● High-Resolution Monitoring and Data Integration;

● Health Risk Assessment and Epidemiological Linkages;

● Decision-Support Tools and Policy Implications.

Environmental exposure modelling, risk source analysis, source apportionment, emerging contaminants, environmental monitoring, exposure–risk assessment