Estimating wave energy dissipation in the surf zone using thermal infrared imagery

2015 ◽  
Vol 120 (6) ◽  
pp. 3937-3957 ◽  
Author(s):  
Roxanne J. Carini ◽  
C. Chris Chickadel ◽  
Andrew T. Jessup ◽  
Jim Thomson
Keyword(s):  
Energy Dissipation ◽  
Wave Energy ◽  
Surf Zone ◽  
Thermal Infrared ◽  
Infrared Imagery ◽  
Wave Energy Dissipation ◽  
Thermal Infrared Imagery

Wave Height Variation Across Surf Zone of Bar Type Profile

2009 ◽  
Author(s):  
Tai-Wen Hsu ◽  
Kun-Sian Lai
Keyword(s):  
Energy Dissipation ◽  
Wave Height ◽  
Analytical Solutions ◽  
Wave Energy ◽  
Hydraulic Jump ◽  
Surf Zone ◽  
Wave Transformation ◽  
Height Variation ◽  
Wave Energy Dissipation ◽  
Theoretical Results

Analytical solutions for wave height decay due to shoaling and breaking on a bar type profile are presented. A macroscopic analogy between an idealized surf zone and a hydraulic jump are incorporated in the theory to account for wave transformation and energy dissipation in the surf zone. The theoretical results are fairly compared with laboratory observations. Key parameters that influence wave energy dissipation in the surf zone are investigated.

scholarly journals Sea spray aerosol and wave energy dissipation in the surf zone

2007 ◽  
Author(s):  
M. J. Francius ◽  
J. Piazolla ◽  
P. Forget ◽  
O. Le Calve ◽  
J. Kusmierczyk-Michulec
Keyword(s):  
Energy Dissipation ◽  
Wave Energy ◽  
Surf Zone ◽  
Sea Spray ◽  
Wave Energy Dissipation ◽  
Sea Spray Aerosol

scholarly journals FIELD CALCULATIONS OF WAVE ENERGY DISSIPATION AND RELATED BEACH PROFILE

1988 ◽  
Vol 1 (21) ◽  
pp. 135
Author(s):  
James R. Tallent ◽  
Takao Yamashita ◽  
Yoshito Tsuchiya
Keyword(s):  
Energy Dissipation ◽  
Wave Energy ◽  
Field Data ◽  
Surf Zone ◽  
Wave Theory ◽  
Nonlinearity Parameter ◽  
Engineering Project ◽  
Wave Energy Dissipation ◽  
Dissipation Model ◽  
Zone Field

The process by which wave energy dissipates across the surf zone and its affect on the bed profile is, of course, a topic of immediate concern and debate. Various concepts of the wave energy dissipation process have been modeled, however, additional research is needed before confidence can be placed in a particular calculation scheme. In addition to the problems associated with proper model derivation a method of application and result interpretation of actual surf zone field data must be devised and understood. This is, of course, prerequisite to any realistic use of a wave energy dissipation model in an engineering project. The following study was therefore conducted in order to examine the applicability of surf zone field data to wave energy dissipation models and to investigate the bed profile relationship. Two wave energy dissipation models were selected for comparison in this study, the 'Undertow Model'(UM) which is based on the conservation of wave energy flux across the surf zone (3), and the 'Turbulent Bore Model'(TBM) which is based on hydraulic jump theory (2). Individual waves were identified in the wave record by employing the zero up-crossing method, and wave energy calculations were based on small amplitude wave theory, Svendsen's nonlinearity parameter Bo (4), and the 1/3 Significant Wave classification.

scholarly journals A NUMERICAL MODEL OF WAVE DEFORMATION IN SURF ZONE

1988 ◽  
Vol 1 (21) ◽  
pp. 41 ◽  
Author(s):  
Akira Watanabe ◽  
Mohammad Dibajnia
Keyword(s):  
Energy Dissipation ◽  
Numerical Model ◽  
Potential Energy ◽  
Wave Height ◽  
Wave Energy ◽  
Surf Zone ◽  
Time Dependent ◽  
Wave Energy Dissipation ◽  
Wave Deformation

A numerical model is presented for nearshore wave deformation due to shoaling and breaking, and to decay and recovery in the surf zone. The model is based on a set of time-dependent mild slope equations including a term of wave energy dissipation caused by breaking. Its applicability is demonstrated by comparisons between the computations and the measurements of cross-shore distributions of the wave height and potential energy over typical beach configurations.

Assessment of the clumped model to estimate olive orchard evapotranspiration using meteorological data and UAV-based thermal infrared imagery

2021 ◽  
Vol 39 (1) ◽  
pp. 63-80
Author(s):  
C. Riveros-Burgos ◽  
S. Ortega-Farías ◽  
L. Morales-Salinas ◽  
F. Fuentes-Peñailillo ◽  
Fei Tian
Keyword(s):  
Meteorological Data ◽  
Thermal Infrared ◽  
Infrared Imagery ◽  
Olive Orchard ◽  
Thermal Infrared Imagery
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