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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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A cloud based tool for knowledge exchange on local scale flood risk.

M E Wilkinson1, E Mackay2, P F Quinn3

  • 1James Hutton Institute, Aberdeen, United Kingdom.

Journal of Environmental Management
|July 6, 2015
PubMed
Summary
This summary is machine-generated.

A new cloud-based tool, the Local Environmental Virtual Observatory Flooding Tool, empowers local communities and stakeholders in flood risk management. This collaborative platform integrates data and models, fostering informed decision-making for sustainable environmental management.

Keywords:
Cloud computingFloodingLocal EVOp Flooding Tool (LEFT)Rural land managementStakeholder engagement

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Area of Science:

  • Environmental Science and Management
  • Hydrology
  • Sustainability Science

Background:

  • Growing need for innovative environmental management strategies, particularly for flood hazards, within the context of sustainability.
  • Recognition of the benefits of involving local communities in catchment management, necessitating tools to bridge organizational and community divides.
  • Emergence of cloud-based technologies as a novel approach for information exchange in environmental science, emphasizing early stakeholder engagement.

Purpose of the Study:

  • To develop a pilot cloud-based learning platform, the Local Environmental Virtual Observatory Flooding Tool (LEVO-FT).
  • To integrate fragmented data, models, and visualization tools for scientifically informed local environmental management decisions.
  • To engage diverse stakeholders, including local communities, landowners, and national experts, in the co-development process.

Main Methods:

  • Iterative development of the LEVO-FT through engagement with stakeholder groups in three UK catchment case studies and a panel of national experts.
  • Combining cloud-based services, local catchment datasets, a hydrological model, and bespoke visualization tools.
  • Focusing on communicating flood risk and engaging landowners/farmers on runoff risks.

Main Results:

  • Successful co-evolution of the cloud-based tool with stakeholders, policymakers, and scientists.
  • Creation of an accessible and understandable information resource for a wide range of stakeholders.
  • Demonstration of a framework for developing similar cloud-based tools for environmental management.

Conclusions:

  • The pilot tool facilitates a whole-systems approach to environmental issues, fostering community ownership.
  • Cloud technologies and collaborative development are effective for co-developing land use management decisions.
  • The developed approach and tool are applicable to local catchments globally for bottom-up catchment management.