Abstract

Hydrodynamic impacts of vegetation in the intertidal zone are highly important to coastal protection. However, most studies on hydrodynamic impacts of vegetation in the intertidal zone are carried out in flumes. This results in a lack of field data for validating models that describe short-term hydrodynamic impacts of vegetation. The current research focuses on field measurements of flow patterns and waves in vegetated intertidal areas. Ample measurement devices are available to measure hydrodynamic processes in the field. Examples are: acoustic Doppler current profilers (ADCP), high resolution acoustic Doppler current profilers (HR-ADCP) and acoustic Doppler velocity meters (ADV). This study focuses on the differences in the performance of these devices, to determine which of them can be best deployed in a future fieldwork campaign in mangroves. Major points of attention in this comparison are the accuracy of the data and the potential disturbance of the measurements by the presence of vegetation. It is concluded that ADV's perform very well in vegetated intertidal areas, while (HR-)ADCP's show difficulties when deployed upward looking. Furthermore, ADV's are preferred over (HR-)ADCP's due to their ability of combining high frequent wave and current measurements and their convenient deployment.

Highlights

  • The intertidal part of the coastal zone is regularly exposed to hydrodynamic forces of the sea

  • This paper focuses on the saline coastal wetlands that are vegetated by halophytes: salt marshes and mangroves

  • Vegetation in salt marshes and mangroves interferes with hydrodynamics and morphodynamics

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Summary

Introduction

The intertidal part of the coastal zone is regularly exposed to hydrodynamic forces of the sea. Increasing effort is being undertaken to model the use of salt marshes and mangroves for attenuation of hydrodynamic forces and sediment accretion (Bouma et al 2007; Temmerman et al 2005; VoLuong and Massel 2008; Wolanski et al 2002). For salt marshes these modeling attempts are often validated against field and flume data (Bouma et al 2007; Temmerman et al 2005). Calibrated and validated models for mangroves are lacking due to this reason

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