Keywords
open system architectures; component-based modelling; coastal risk management; interdisciplinary research.
Start Date
27-6-2018 3:40 PM
End Date
27-7-2018 5:00 PM
Abstract
Today, tackling critical questions often requires the collaboration of researchers from different disciplines or institutions. Coastal hazards research is necessarily interdisciplinary and multi-methodological and often requires a team of researchers. This paper introduces an interdisciplinary coastal hazard risk model which combines high resolution geospatial data, storm impact forecasts, and an agent-based model in the analysis and describes the model’s application in a data science cyberinfrastructure.
The implementation of the coastal hazard risk model in the cyberinfrastructure involved partitioning the model into three parts: 1) Geospatial analyses: analyzes housing developments and the coast to create a household database. (2) Storm evaluation: Storm simulation database containing a suite of simulation results with varying beach and storm conditions. (3) Coastal town Agent Based Model (ABM): ABM framework that simulates changes to the housing development and coastal landforms due to (i) feedback within the human and natural systems, and (ii) external forcings, storms, and sea level rise.
Each step was then packaged into self-containing dockers, enabling researchers from different disciplines to modify the existing tools and test new theories without considering the compatibility with the underlying technologies in the other dockers. Furthermore, the researchers can plug into their separate dockers into the workflow, enabling test of new or modified apps without disrupting the usage of other researchers.
Cyberinfrastructure for Enhancing Interdisciplinary Engagement in Coastal Risk Management Research
Today, tackling critical questions often requires the collaboration of researchers from different disciplines or institutions. Coastal hazards research is necessarily interdisciplinary and multi-methodological and often requires a team of researchers. This paper introduces an interdisciplinary coastal hazard risk model which combines high resolution geospatial data, storm impact forecasts, and an agent-based model in the analysis and describes the model’s application in a data science cyberinfrastructure.
The implementation of the coastal hazard risk model in the cyberinfrastructure involved partitioning the model into three parts: 1) Geospatial analyses: analyzes housing developments and the coast to create a household database. (2) Storm evaluation: Storm simulation database containing a suite of simulation results with varying beach and storm conditions. (3) Coastal town Agent Based Model (ABM): ABM framework that simulates changes to the housing development and coastal landforms due to (i) feedback within the human and natural systems, and (ii) external forcings, storms, and sea level rise.
Each step was then packaged into self-containing dockers, enabling researchers from different disciplines to modify the existing tools and test new theories without considering the compatibility with the underlying technologies in the other dockers. Furthermore, the researchers can plug into their separate dockers into the workflow, enabling test of new or modified apps without disrupting the usage of other researchers.
Stream and Session
Stream A: Advanced Methods and Approaches in Environmental Computing
A2: Open Socio-environmental Modelling and Simulation