- freely available
Hydrodynamic Modeling Analysis to Support Nearshore Restoration Projects in a Changing Climate
AbstractTo re-establish the intertidal wetlands with full tidal exchange and improve salmonid rearing habitat in the Skagit River estuary, State of Washington, USA, a diked agriculture farm land along the Skagit Bay front is proposed to be restored to a fully functional tidal wetland. The complex and dynamic Skagit River estuarine system calls for the need of a multi-facet and multi-dimensional analysis using observed data, numerical and analytical methods. To assist the feasibility study of the restoration project, a hydrodynamic modeling analysis was conducted using a high-resolution unstructured-grid coastal ocean model to evaluate the hydrodynamic response to restoration alternatives and to provide guidance to the engineering design of a new levee in the restoration site. A set of parameters were defined to quantify the hydrodynamic response of the nearshore restoration project, such as inundation area, duration of inundation, water depth and salinity of the inundated area. To assist the design of the new levee in the restoration site, the maximum water level near the project site was estimated with consideration of extreme high tide, wind-induced storm surge, significant wave height and future sea-level rise based on numerical model results and coastal engineering calculation.
Share & Cite This Article
Yang, Z.; Wang, T.; Cline, D.; Williams, B. Hydrodynamic Modeling Analysis to Support Nearshore Restoration Projects in a Changing Climate. J. Mar. Sci. Eng. 2014, 2, 18-32.View more citation formats
Yang Z, Wang T, Cline D, Williams B. Hydrodynamic Modeling Analysis to Support Nearshore Restoration Projects in a Changing Climate. Journal of Marine Science and Engineering. 2014; 2(1):18-32.Chicago/Turabian Style
Yang, Zhaoqing; Wang, Taiping; Cline, Dave; Williams, Brian. 2014. "Hydrodynamic Modeling Analysis to Support Nearshore Restoration Projects in a Changing Climate." J. Mar. Sci. Eng. 2, no. 1: 18-32.
Notes: Multiple requests from the same IP address are counted as one view.