Uncertainty in estuarine extreme water level predictions due to surge-tide interaction

PLoS One. 2018 Oct 26;13(10):e0206200. doi: 10.1371/journal.pone.0206200. eCollection 2018.

Abstract

Storm surge is often the greatest threat to life and critical infrastructures during hurricanes and violent storms. Millions of people living in low-lying coastal zones and critical infrastructure within this zone rely on accurate storm surge forecast for disaster prevention and flood hazard mitigation. However, variability in residual sea level up-estuary, defined here as observed sea level minus predicted tide, can enhance total water levels; variability in the surge thus needs to be captured accurately to reduce uncertainty in site specific hazard assessment. Delft3D-FLOW is used to investigate surge variability, and the influence of storm surge timing on barotropic tide-surge propagation in a tide-dominant estuary using the Severn Estuary, south-west England, as an example. Model results show maximum surge elevation increases exponentially up-estuary and, for a range of surge timings consistently occurs on the flood tide. In the Severn Estuary, over a distance of 40 km from the most upstream tide gauge at Oldbury, the maximum surge elevation increases by 255%. Up-estuary locations experience short duration, high magnitude surge elevations and greater variability due to shallow-water effects and channel convergence. The results show that surge predictions from forecasting systems at tide gauge locations could under-predict the magnitude and duration of surge contribution to up-estuary water levels. Due to the large tidal range and dynamic nature of hyper-tidal estuaries, local forecasting systems should consider changes in surge elevation and shape with distance up-estuary from nearby tide gauge sites to minimize uncertainties in flood hazard assessment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cyclonic Storms*
  • Disasters / prevention & control
  • Environmental Monitoring / methods
  • Estuaries*
  • Floods* / prevention & control
  • Forecasting / methods*
  • Humans
  • Hydrodynamics
  • Models, Theoretical
  • Oceanography / methods
  • Tidal Waves* / prevention & control
  • Uncertainty*
  • United Kingdom

Grants and funding

This work was supported by the Engineering and Physical Sciences Research Council as part of the Adaptation and Resilience of Coastal Energy Supply (ARCoES) project, grant number EP/103590/1 to AJP and an EPSRC Impact Acceleration Account administered through the University of Liverpool. The research is also a contribution to UK NERC BLUEcoast Project (NE/N015924/1).