Edificio Porta dell'Innovazione - Piano 2, Via della Libertà 12 - 30175 Venezia Marghera (VE), Italy
+39 041 2348548
Antonio Marcomini, professor and vice-rector at the University Ca’ Foscari Venice. He has longstanding teaching and research experience in environmental chemistry in the context of environmental science. Current delivered courses include Environmental chemistry, Climate change and environmental contamination. Main current research subjects are: environmental behaviour of priority and emerging chemical contaminants; modelling fate and transport of nutrients and persistent chemicals, including the effect of climate change; development and application of environmental risk assessment procedures and risk-based decision support systems addressing climate change and sustainability. Coordinator/scientific responsible of several international and national research projects in the field of environmental safety and anthropic impacts on terrestrial and aquatic systems, especially coastal areas, he is author/co-author of over 300 papers with actual Scopus H-index: 57 and G-Scholar H-index: 67, respectively.
ULTIME PUBBLICAZIONI
- Evaluating the combined effect of climate and anthropogenic stressors on marine coastal ecosystems: Insights from a systematic review of cumulative impact assessment approaches
- Prioritization of resilience initiatives for climate-related disasters in the Metropolitan City of Venice
- Exploring machine learning potential for climate change risk assessment
- Integrating Bayesian Networks into ecosystem services assessment to support water management at the river basin scale
- Development of a Multi-Dimensional Coastal Vulnerability Index: Assessing vulnerability to inundation scenarios in the Italian coast
- Egypt’s coastal vulnerability to sea level rise and storm surge: present and future conditions
- A Multi-Risk Methodology for the Assessment of Climate Change Impacts in Coastal Zones.
- Financial liability for environmental damage: insurance market in Italy, focus on Veneto region experience
- Water Quality Sustainability Evaluation under Uncertainty: A Multi-Scenario Analysis Based on Bayesian Networks
- Coupling scenarios of climate and land – use change with assessments of potential ecosystem services at the river basin scale