| Foreword |
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xiii | |
| Acronyms and Abbreviations |
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xv | |
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xvii | |
| Contributors |
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xxiii | |
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1 | (18) |
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1 | (1) |
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1.2 Rationale for the book |
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1 | (1) |
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1.3 Advantages and disadvantages of physical modelling |
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2 | (1) |
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3 | (1) |
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4 | (8) |
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4 | (1) |
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5 | (1) |
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6 | (1) |
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1.5.4 Wave and current basins |
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7 | (2) |
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1.5.5 Oscillating water tunnels |
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9 | (2) |
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11 | (1) |
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1.6 General principles of scale modelling |
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12 | (1) |
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13 | (6) |
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13 | (1) |
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14 | (1) |
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14 | (3) |
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17 | (1) |
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1.7.5 Composite modelling |
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17 | (2) |
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19 | (20) |
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19 | (1) |
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2.2 Application of wave models |
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19 | (1) |
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2.3 Selection of wave characteristics for model tests |
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20 | (6) |
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2.3.1 Types of waves in hydraulic models |
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20 | (1) |
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21 | (1) |
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2.3.3 Selection of representative sea states |
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21 | (1) |
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2.3.4 Duration of time series |
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22 | (1) |
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2.3.5 `Tree' and `bound' long waves |
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23 | (2) |
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25 | (1) |
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2.4 Wave generators and wave generation |
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26 | (1) |
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2.4.1 Wave generator types |
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26 | (1) |
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27 | (1) |
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27 | (1) |
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2.5 Planning and execution of tests |
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27 | (3) |
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2.5.1 Bathymetric model construction |
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27 | (1) |
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2.5.2 Wave reflection in laboratory |
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28 | (1) |
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29 | (1) |
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2.6 Measurement and analysis of laboratory waves |
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30 | (4) |
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30 | (1) |
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31 | (1) |
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2.6.3 Wave skewness and asymmetry |
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32 | (1) |
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2.6.4 Measurements of multi-directional waves |
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33 | (1) |
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34 | (2) |
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2.8 Typical sources of errors |
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36 | (2) |
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38 | (1) |
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39 | (28) |
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39 | (2) |
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3.1.1 Purpose of physical model testing |
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40 | (1) |
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3.2 Model set-up and operation |
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41 | (21) |
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3.2.1 Choice of physical model |
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41 | (1) |
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3.2.2 Layout of the model |
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42 | (2) |
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44 | (1) |
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45 | (4) |
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49 | (7) |
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3.2.6 Measurement equipment and analysis |
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56 | (3) |
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59 | (1) |
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60 | (2) |
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62 | (4) |
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66 | (1) |
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66 | (1) |
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67 | (60) |
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67 | (1) |
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4.2 Objectives and approach |
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68 | (2) |
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70 | (13) |
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4.3.1 Multi-directional versus uni-directional waves |
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70 | (1) |
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4.3.2 Wave skewness and asymmetry |
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71 | (1) |
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4.3.3 Critical bed-shear stress |
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71 | (1) |
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4.3.4 Bed forms in steady flows |
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72 | (3) |
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4.3.5 Bed forms under waves |
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75 | (2) |
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77 | (1) |
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77 | (1) |
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78 | (5) |
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4.4 Sediments and scaling laws |
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83 | (20) |
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4.4.1 Properties of sediment |
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83 | (6) |
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89 | (10) |
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4.4.3 Low-density (model) sediments |
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99 | (3) |
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4.4.4 Boundary conditions on sediment |
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102 | (1) |
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4.5 Measuring and observation techniques |
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103 | (9) |
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4.5.1 Measurement techniques for sediment transport |
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103 | (1) |
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4.5.2 Instrumentation for bedload transport |
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103 | (2) |
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4.5.3 Instrumentation for suspended transport |
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105 | (3) |
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4.5.4 Instrumentation for measuring bathymetry |
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108 | (4) |
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4.6 Procedures for performance of tests |
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112 | (3) |
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112 | (1) |
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4.6.2 Planning a test series |
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112 | (1) |
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113 | (1) |
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113 | (2) |
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115 | (1) |
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116 | (1) |
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4.9 Uncertainty assessment |
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117 | (1) |
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117 | (1) |
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117 | (1) |
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4.9.3 Instrument accuracy |
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118 | (1) |
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118 | (9) |
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4.10.1 Scour downstream of river barrages |
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118 | (1) |
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4.10.2 Cross-shore beach profiles |
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119 | (3) |
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4.10.3 Beach erosion - comparison of scaling laws |
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122 | (2) |
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4.10.4 Scour and scour protection around monopiles |
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124 | (3) |
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127 | (44) |
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127 | (1) |
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5.2 Ecological perspective |
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128 | (2) |
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5.3 Hydraulic engineering perspective |
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130 | (3) |
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5.3.1 Expectations of hydraulic engineers from collaboration with ecologists in laboratory experiments |
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130 | (3) |
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133 | (16) |
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5.4.1 Dimensional analysis |
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133 | (4) |
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5.4.2 Physical modelling and scaling considerations |
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137 | (1) |
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5.4.3 Implications for biophysical modelling |
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138 | (4) |
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142 | (4) |
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146 | (1) |
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5.4.6 Measurements and data interpretation |
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147 | (2) |
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5.5 Incorporating plants into physical models |
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149 | (9) |
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5.5.1 Challenges of physical modelling using plants |
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150 | (4) |
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5.5.2 Best practice guidelines for plants in flume experiments |
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154 | (3) |
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5.5.3 Developing best practice |
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157 | (1) |
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5.6 Incorporating small animals into physical models |
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158 | (5) |
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5.6.1 Challenges of physical modelling with small animals |
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158 | (4) |
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5.6.2 Developing best practice |
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162 | (1) |
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5.7 Linking physical models of ecology with numerical models and their extension to field data |
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163 | (7) |
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5.7.1 Combination with field measurements and numerical modelling |
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164 | (1) |
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165 | (1) |
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5.7.3 Parameterization of individual terms |
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166 | (2) |
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5.7.4 Measurements for model setup and validation |
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168 | (1) |
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5.7.5 Using field data for validation and parameterisation of numerical models |
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169 | (1) |
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5.8 Summary conclusions and future challenges |
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170 | (1) |
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171 | (50) |
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171 | (1) |
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6.2 The concept of composite modelling |
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172 | (1) |
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6.3 Composite modelling technique case studies used in CoMIBBS |
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173 | (38) |
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6.3.1 Nesting of a detailed physical model within a regional numerical model |
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173 | (4) |
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6.3.2 Reduction of uncertainties in physical modelling using a numerical model error correction technique |
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177 | (4) |
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6.3.3 Determination of optimum physical model scale |
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181 | (6) |
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6.3.4 Use of a numerical model to design a physical model |
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187 | (5) |
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6.3.5 Sensitivity analysis using skill scores |
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192 | (5) |
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6.3.6 Composite modelling of scour with incorporation of parameterised turbulence from physical model |
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197 | (4) |
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6.3.7 Parameterisation of physical model results for composite modelling |
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201 | (5) |
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6.3.8 Use of a numerical model to overcome 2D physical model constraints |
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206 | (5) |
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6.4 Issues in applying composite modelling |
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211 | (10) |
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6.4.1 Reflections on composite modelling during CoMIBBS |
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211 | (4) |
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6.4.2 Good modelling practice |
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215 | (2) |
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6.4.3 Selection of composite modelling - hypothesis |
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217 | (1) |
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6.4.4 Setting up a composite modelling experiment |
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218 | (1) |
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219 | (2) |
| References |
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221 | (20) |
| Bibliography |
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241 | |