Browse the contents of 10th International Congress on Environmental Modelling and Software - Brussels, Belgium - June 2020:

Stream F

F0. General presentations on environmental impact of climate change, environmental pollution and other anthropogenic effects

F1. Using Models to Simulate Impact of Nutrients, Acidification, Sediment transport and Toxicants in Coastal Environments

F2. Integrated methods and tools for coastal and fluvial flood risk management

F3. Large-scale impact modelling including the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP)

F4. Modelling transport-related air pollution, from citizens science to dispersion models

Stream E

E0. General presentations on modelling for the sustainable development goals under global change

E1. Holistic Water-Food-Energy-Environment Nexus for Guiding Resource Management

E2. Towards a new generation of spatio-temporal land-system models

E3. Integrated assessments of policy pathways towards achieving Sustainable Development Goals SDGs

E4. Modelling of Drinking Water Treatments to deal with global change

Stream D

D0. General presentations on system identification and uncertainty in environmental computing

D1. Beyond Conventional Uncertainty Analysis: New Frameworks, Methods, and Tools for Uncertainty Assessment in Complex Socio-Environmental Models

D2. Best Practice in Agent-Based Model Parameterization and Validation

D3. Quantifying uncertainty in environmental systems: a Bayesian point of view

D4. Including uncertainty within optimisation solution methods used for optimal targeting of best management practices and environmental policy

D5. Advances in scenario discovery and robust decision-making frameworks for designing dynamically robust policy pathways

D6. Sensitivity analysis for improved model diagnosis, parameter identification, and prediction

D7. Complexity, Sensitivity, and Uncertainty Issues in Integrated Environmental Models

Stream C

C0. General presentations on computational methods, workflows, and integrated systems in environmental modelling

C1. Methods for integrated modelling of spatial-environmental planning issues

C2. Integrated models for energy and climate policy

C3. Hybrid methods of process simulation and machine learning for advancing understanding

C4. Distributed computing in smart farming and agro-informatics

C5. Digital agriculture

C6. New and improved methods in agricultural systems modelling

C7. Large-scale behaviour modelling approaches

C8. Model-coupling frameworks-advances in design, application solutions

C9. Integrated systems for dynamic multi-scale environmental and earth system modeling

C10. Flexible and open modelling developments for hydro-social processes at catchment scale

C11. Toward rapid and real-time groundwater flow model assessments

C12. Environmental fluid mechanics - Theoretical, modeling and experimental approaches

Stream B

B0. General presentations on processing and visualizing environmental information from big data, data mining, GIS, and remote sensing

B1. Integrating Big Data, Machine Learning and Computational Modeling: Smart Cyber-Physical Systems

B2. Hybrid approaches and predictive intelligence for sustainable environmental decision making

B3. Session on Data Mining as a Tool for Environmental Scientists: 7th edition (S-DMTES-2020)

B4. Modelling and Managing Urban Water and Energy Resources in the Era of Big Data

B5. Innovative IoT systems and IoT data processing techniques for Environmental monitoring

Stream A

A0. General presentations on decision making & public participation in environmental modelling

A1. Towards Interdisciplinary and Transdisciplinary Collaboration in Environmental Modelling: Innovative Practices to Address Wicked Problems

A2. Participatory Modelling: How to overcome challenges in practice?

A3. Bringing local and expert knowledge together [] combining qualitative and quantitative tools to support participatory modelling

A4. Interactive tools and visualization to support environmental decision-making

A5. Modelling for Policy Support in the European Union

A6. Decision Making Under Uncertainty in Complex Human-Natural Systems in Policy and Practice

A7. Modelling data from Citizen Science based Environmental Campaigns