Presentation at the Future Water Association Conference “Shining the Light of the Possible, Exploring the Radical” by Peter Coombes & Michael Barry at Chesford Grange Hotel, Kenilworth, Warwickshire. Wednesday 5 December at 3 pm.
Systems Framework links actions across multiple scales and interests
Deconstructs information across spatial and temporal scales to reproduce system dynamics
This research shows new water resources and science opportunities
Radical: bottom up systems frameworks of everything using molecular sciences insights
Possible: reveals new insights and more opportunities
Shining the Light: new insights on existing processes
The Systems Framework is discussed in many publications focused on describing projects or policies, water reform processes and new research insights. This presentation provides an overview of the Systems Framework methodologies for analysis of policy, strategy and design developed over the last two decades. The framework integrates water cycle, environmental and economic processes from the “bottom up” using all available big data and integrating spatial and temporal scales of behaviour. Advances in computing power allowed this quantum process to be underpinned by continuous simulation of local behaviours, multiple replicates of processes and decisions, and scenario analysis.
This expansionist approach to analysis reveals hidden challenges and opportunities for urban areas and regions. The Systems Framework can be applied to detailed and targeted ‘what if’ analyses, including assessments of future water security and economic welfare under a range of climatic and population growth scenarios, and future alternative strategies or policies. The spatial and temporal detail within the Systems Framework allowed understanding, reproduction and testing of the complex interactions between waterways, reservoirs, operations, water demands, water restrictions, energy demands, financial impacts and policy interventions.
This methodology includes hind casting of the water cycle and linked economic simulations across historical periods with known financial, macroeconomic and resources information to reveal micro- and macro-economic drivers of regions. The authors are developing open source and web-enabled applications that will allow greater interaction with the System Framework. This initiative is supported by a number of new science publications.