Abstract

Coos Bay Inlet, located on the Pacific coast of southwestern Oregon, is protected by dual jetties constructed in 1928. Because the inlet is exposing to high energy environment, both north and south jetties have deteriorated since the initial construction. Aging, erosion of foundation, lack of effective maintenance, and channel dredging in the past have accelerated the jetty deterioration. To ensure navigation safety, the U.S. Army Corps of Engineers is presently investigating the rehabilitation and redesign of jetties. This paper is focused on numerical storm wave modeling of the existing jetties to provide input forcing information to physical model and redesign of jetties.

Highlights

  • Coos Bay is located on the Pacific coast of southwestern Oregon, USA

  • Because the inlet is exposing to high energy Pacific coast and surrounding with strong tidal dynamics, both north and south jetties have deteriorated since their initial construction

  • Numerical wave modeling in this study consisted of three parts: (1) analysis of offshore wave climate based on field measurements and long-term hindcasting information, (2) transformation of a combination of wave and water level conditions from offshore location to the project site, and (3)

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Summary

INTRODUCTION

Coos Bay is located on the Pacific coast of southwestern Oregon, USA. The bay has a narrow V-. Shaped surface approximately 20 km long and 2.5 km wide with the area at mid tide around 38 square km It connects to the Pacific Ocean through the Coos Bay Inlet with a Federal channel, authorized at 210 m wide and 14.3 m deep, protected by dual jetties constructed in 1928. Coupling CMS-Flow and CMS-Wave can simulate many important short-term to long-term processes like the shoreline change, channel infilling, breaching to shore and damage to coastal structure, and storm-induced flooding and erosion. Both models have the nested grid capability as an alternative for circulation, sediment calculation, and wave transformation in the local higher resolution area

METHODOLOGY
CONCLUSIONS

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