Evaluating 1 and 2D Dimensional Models for Floodplain Inundation Mapping

Abstract

This project has sought to develop a suite of computational hydraulic models for high resolution flow prediction at the reach scale (1 0-60km) that directly addresses potential Corps of Engineers Research and Development agendas. Specifically, we have: Developed a suite of models of varying complexity for long reach, high-resolution river flow prediction. Developed through GIS technologies the integration to remote sensing data sets capable of parameterizing such models and examined data assimilation, redundancy and scaling issues. Developed novel means of validating hydraulic models using newly available data sets from satellite and airborne sensing platforms. Future opportunity: With the further advance of remote sensing technologies and high performance computing considerable potential now exists for computational hydraulic modelling at all scales up to and including the basin scale (100's of km). This has the potential to allow extension of the modelling techniques described in this report into the areas of: Forecasting(Real time forecasting, linkages to remote sensing driven snow-melt forecasting models, hydraulic impacts of climate and land use change), Design(soft engineering design in respect of land use, habitat specifications, development of maintenance schedules and impact assessments) Management (linking hydrologic and hydraulic models for Integrated Basin Management, floodplain management and planning, including integration of model outputs with socio-economic data sets to identify at risk populations, wetland restoration and management)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2002
Accession Number
ADA400849

Entities

People

  • Malcolm G. Anderson
  • Paul D. Bates

Organizations

  • University of Bristol

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Climate Change
  • Computational Fluid Dynamics
  • Computational Science
  • Data Sets
  • Differential Equations
  • Engineering
  • Engineers
  • Flood Control
  • Fluid Flow
  • Froude Number
  • Geography
  • High Resolution
  • Hydraulic Models
  • Remote Sensing
  • Synthetic Aperture Radar
  • Two Dimensional
  • Water Resources

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Wetland-Land-Environmental Management.

Technology Areas

  • Space