Coastal flood risk reduction : the Netherlands and the U.S. Upper Texas coast /

Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Brody, Samuel, Lee, Yoonjeong, Kothuis, Baukje Bee
Format: eBook
Language:English
Published: Amsterdam : Elsevier, 2022.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Coastal Flood Risk Reduction: The Netherlands and the U.S. Upper Texas Coast
  • Copyright
  • Contents
  • Contributors
  • Chapter 1: Introduction to the Coastal Flood Risk Reduction Program
  • Chapter 2: Mixing tulips with tacos: Flood prevention practices and policies-A comparison of north Texas coastal communit ...
  • Introduction
  • Dutch and American approaches to flood risk reduction
  • History and evolution of Dutch and US flood policy
  • Brief review of present flood defenses on the Dutch central coast and the upper Texas coast
  • Using Dutch principles to protect the Galveston Bay region
  • Proposed Texas plan
  • Future collaboration between Dutch and Texas researchers
  • References
  • Further reading
  • Section I: Predicting the floods: Environmental/physical underpinnings
  • Chapter 3: Storm surge modeling in the Gulf of Mexico and Houston-Galveston regions
  • Likelihood of extreme water levels
  • Storm surge generation in the northwestern Gulf
  • State of engineering practice-Modeling hurricane storm surge
  • Different applications of storm surge models
  • Relevance of JSU (2018) research to flood risk
  • Comparison with the Netherlands situation
  • Conclusions
  • References
  • Chapter 4: Modeling the movement of water and sediment in coastal environments
  • Introduction
  • Combining coastal hydrodynamics, sediment transport, and morphodynamics
  • Physical modeling
  • Numerical modeling
  • Utilizing sediment (transport) to mitigate flooding
  • Sand engine
  • Mud motor
  • Submerged nearshore feeder bar
  • Bedload collector
  • Conclusions
  • References
  • Chapter 5: Urban flood modeling: Perspectives, challenges, and opportunities
  • Introduction
  • Pluvial flooding as a critical area of research
  • Modeling flood hazards in urban areas
  • 1D models
  • 2D models
  • Coupled models
  • 3D models
  • Alternative approaches
  • Modeling the risks associated with urban flooding
  • Key research priorities
  • Summary
  • References
  • Chapter 6: Using machine learning to predict flood hazards based on historic damage
  • The need for alternative flood hazard models and visualizations
  • Machine learning as an alternative flood hazard model
  • Establishing a machine learning workflow for flood hazard estimation
  • Case study: Southeast Texas
  • Interpretation of flood hazard model outputs
  • Flood hazard concept measurement
  • Overview of machine learning models for flood hazard estimation
  • Model calibration
  • Interpreting the modeling results
  • A potential application for the Netherlands
  • Summary and conclusions
  • References
  • Chapter 7: Compound flooding
  • Introduction
  • Modeling coastal flood hazards using numerical and statistical approaches
  • Numerical modeling
  • Statistical modeling
  • Managing coastal flood hazards
  • Rotterdam
  • Noorderzijlvest
  • West Side of Galveston Bay
  • Galveston Island
  • Conclusions
  • References