STREAMS

Stream A: Advanced Methods and Approaches in Environmental Computing

Advancements in computational methods and technology are always playing an important role for model development and application. Novel approaches that enable innovative software applications for environmental systems are requested; current and future computational challenges for modeling are session topics, such as:

  • Cloud and Container solutions for enhanced accessibility and computational scalability
  • Model integration, linking, and frameworks, web services
  • Advanced solutions for dissemination of model and data services
  • Reproducibility of computational modeling solutions in research
  • Internet of Things (IoT) for environmental systems
  • GIS and Decision Support Systems
  • Model visualization and communication solutions

Stream B: (Big) Data Solutions for Planning, Management, and Operation and Environmental Systems

Processing Data and environmental Information using Big Data methods, identifying challenges, opportunities and solutions. Efficient environmental data management, storage, processing, and analytics at scale are topics for session in this stream. Session topics are:

  • Geospatially-enabled analytics
  • Smart metering (observational) systems
  • Sensor networks and remote sensing
  • High fidelity data management
  • Machine Learning and Big data analytics
  • Operation and real-time control model

Stream C: Integrated Social, Economic, Ecological, and Infrastructural Modeling

Environmental models are increasingly used to assist planners and managers in the decision making process. These processes often require integration of data and modeling tools from traditionally disparate disciplines. Moreover, interactions with stakeholders during model building may be vital for increased acceptance of modeling results. Topics and sessions under this stream may include:

  • Infrastructure Modeling: understanding critical resilient infrastructure systems
  • Decision analysis modeling and tools
  • Untangling socio-economic, policy, institutional, and financial domains
  • Lifecycle cost assessment: green and gray infrastructure
  • Behavioral psychology modeling: Agent-based Modeling, Game theory
  • Stakeholder and participatory modeling
  • Multicriteria decision analysis
  • Ecosystem services
  • Integrated water resources planning and management

Stream D: Modeling Environmental Fate of Contaminants, Human Well-being and Public Health

Anthropogenic activities and management of natural resources have vital implications for human and ecological health, and well-being of our communities. Furthermore, extreme events can have profound impacts on human health, shattering the most vulnerable communities and instilling enormous costs on governments and economies. Topics and sessions under this stream may include:

  • Infectious diseases
  • Modelling the environmental fate of contaminants and pollution of water, air and soil
  • Emerging contaminants (e.g., pharmaceuticals, hormones, antibiotic resistance bacteria/genes)
  • Understanding the effects of green and gray infrastructure on well-being
  • Health risks associated with alternative water sources such as graywater, stormwater and treated wastewater
  • Impacts of development patterns and urban/regional planning on community health
  • Social environmental and economic justice
  • Urban heat islands, thermal comfort, and implications for human health

Stream E: Modeling for Planetary Health and Environmental Sustainability

Significant progress in public health, agricultural, industrial, and technical advancements over the past century has improved health and wellbeing of billions of people. However, increased access and consumption have increased pressures on natural resources and has taken a toll on land, air, and water resources. New theoretical advancements or novel applications of environmental models for solving planetary health and environmental challenges at various spatial and temporal scales are requested. Topics and sessions under this stream may include:

  • Environmental systems in a changing world: understanding effects of land use change, population change, climate, extreme events
  • Modeling effects of agricultural and energy production on water resources
  • Disaster and catastrophe modeling
  • Modeling the food, energy, water nexus
  • Water management for food security and agricultural sustainability
  • Soil and water conservation in agricultural systems
  • Understanding non-stationarity, identifying tipping points, and improving resilience in environmental systems

Stream F: System Identification Approaches for Complex Environmental Systems

Over the past three decades, significant theoretical and computational advancements have been made that facilitate identification, characterization and quantification of criticalities, thresholds, and risks associated with coupled natural-human systems. This stream focuses on theories, approaches, algorithms, software tools, and activities that facilitate understanding uncertainties and risks at the system level, system identification, and data assimilation.Topics and sessions under this stream may include:

  • Uncertainty and sensitivity analysis techniques and applications
  • Parameter estimation/calibration
  • Data assimilation techniques
  • Risk analysis
  • Decision making under deep uncertainty
  • Visualization of high-dimensional system responses and indicators
  • Communication of uncertainties and risks