Changeset 7249 for anuga_work/publications/boxing_day_validation_2008
- Timestamp:
- Jun 23, 2009, 11:32:43 AM (16 years ago)
- Location:
- anuga_work/publications/boxing_day_validation_2008
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
-
anuga_work/publications/boxing_day_validation_2008/patong_validation.tex
r7241 r7249 71 71 effectiveness of hazard mitigation procedures and the economic impact 72 72 of such measures and the event itself. Here we focus on modelling of 73 the physical processes. For discussion on economic and decision based 74 models refer to~\cite{} and the references therein. 73 the physical processes. 74 %OLE: I commented this out 23 June 2009 as there was no reference. 75 %For discussion on economic and decision based 76 %models refer to~\cite{} and the references therein. 75 77 76 78 Various approaches are currently used to assess the potential impact … … 130 132 tsunamis pose greatest threat. The resulting lack of data has limited 131 133 the number of field data sets available to validate tsunami 132 models. Synolakis et .al~\cite{synolakis07} have developed a set of134 models. Synolakis et al~\cite{synolakis07} have developed a set of 133 135 standards, criteria and procedures for evaluating numerical models of 134 136 tsunami. They propose three analytical solutions to help identify the … … 154 156 In this paper we develop a field data benchmark to be used in 155 157 conjunction with the other tests proposed by Synolakis et 156 al .~\cite{synolakis07} to validate and verify tsunami models. Unlike158 al~\cite{synolakis07} to validate and verify tsunami models. Unlike 157 159 the aforementioned tests, the proposed benchmark allows evaluation of 158 160 model structure during all three distinctive stages of the evolution … … 497 499 deformation from an earthquake at depth. Most approaches model the 498 500 earthquake as a dislocation in a linear, elastic medium. Here we use 499 the method of Wang et . al.~\cite{wang03}. One of the main advantages501 the method of Wang et al~\cite{wang03}. One of the main advantages 500 502 of their method is that it allows the dislocation to be located in a 501 503 stratified linear elastic half-space with an arbitrary number of … … 537 539 parameters used here to simulate the 2004 Indian Ocean tsunami were 538 540 taken from the slip model G-M9.15 from Chlieh 539 et . al.~\cite{chlieh07}. This model was created by inversion of wide541 et al~\cite{chlieh07}. This model was created by inversion of wide 540 542 range of geodetic and seismic data. The slip model consists of 686 541 543 20km x 20km subsegments each with a different slip, strike and dip 542 544 angle. The dip subfaults go from $17.5^0$ in the north and $12^0$ in 543 the south. Refer to Chlieh et . al.~\cite{chlieh07} for a detailed545 the south. Refer to Chlieh et al~\cite{chlieh07} for a detailed 544 546 discussion of this model and its derivation. Note that the geodetic 545 547 data used in the validation was also included by~\cite{chlieh07} in … … 548 550 show that the crustal deformation and elastic properties model used 549 551 here is at least as valid as the one used by Chlieh 550 et . al.~\cite{chlieh07} and can reproduce the observations just as552 et al~\cite{chlieh07} and can reproduce the observations just as 551 553 accurately. 552 554 … … 599 601 into local one-dimensional problems. These local Riemann problems are 600 602 then solved using the semi-discrete central-upwind scheme of Kurganov 601 et al .~\cite{kurganov01} for solving one-dimensional conservation603 et al~\cite{kurganov01} for solving one-dimensional conservation 602 604 equations. The numerical scheme is presented in detail in Zoppou and 603 605 Roberts~\cite{zoppou99}, Roberts and Zoppou~\cite{roberts00}, and 604 Nielsen et al .~\cite{nielsen05}. An important capability of the606 Nielsen et al~\cite{nielsen05}. An important capability of the 605 607 software is that it can model the process of wetting and drying as 606 608 water enters and leaves an area. This means that it is suitable for … … 767 769 reasonable 768 770 769 %FIXME (Ole): Perhaps rephrase a bit as the 1cm vs 10cm is hard to770 %understand. Remove figure using 1cm inundation771 771 Maximum onshore inundation elevation was computed from the model 772 772 throughout the entire Patong Bay region. … … 798 798 \begin{figure}[ht] 799 799 \begin{center} 800 \includegraphics[width= 5.0cm,keepaspectratio=true]{final_1cm.jpg}801 \includegraphics[width= 5.0cm,keepaspectratio=true]{final_10cm.jpg}800 \includegraphics[width=6.0cm,keepaspectratio=true]{final_1cm.jpg} 801 \includegraphics[width=6.0cm,keepaspectratio=true]{final_10cm.jpg} 802 802 \caption{Simulated inundation versus observed inundation using an 803 803 inundation threshold of 1cm (left) and 10cm (right).} … … 843 843 \begin{figure}[ht] 844 844 \begin{center} 845 \includegraphics[width= 7.0cm,keepaspectratio=true]{gauge_locations.jpg}845 \includegraphics[width=8.0cm,keepaspectratio=true]{gauge_locations.jpg} 846 846 \caption{Location of timeseries extracted from the model output} 847 847 \label{fig:gauge_locations} … … 954 954 will have greater impact. However, this value is generally well 955 955 predicted by the generation and propagation models such as 956 \textsc{ursga}. See e.g. \cite{} FIXME Toshi Baba's validation study at 957 Kuril islands. 956 \textsc{ursga}. See e.g.\ \cite{thomas2009}. 958 957 959 958 … … 963 962 The presence of buildings has the greatest influence on the maximum 964 963 on-shore inundation extent. Figure~\ref{fig:sensitivity_nobuildings} 965 shows the maximum run-up in the presence and absence of buildings. It964 shows the maximum run-up and associated flow speeds in the presence and absence of buildings. It 966 965 is apparent that the inundation is much more severe when the presence 967 of man made structures and buildings are ignored. Maximal flow speeds 968 for these two model parameterisations are shown in 969 Figure~\ref{fig:sensitivity_nobuildings_speed}. 966 of man made structures and buildings are ignored. 970 967 971 968 \begin{table} … … 1032 1029 from the Suranaree University of Technology and Parida Kuneepong for 1033 1030 supporting this work; and Drew Whitehouse from the Australian National 1034 University for preparing the animation. 1035 1031 University for preparing the animation of the inundation model. 1032 1033 \clearpage 1036 1034 \section{Appendix} 1037 \begin{figure}[ht] 1038 \begin{center} 1039 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_reference_depth} 1040 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_minus10cm_depth} 1041 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_plus10cm_depth} 1035 1036 This appendix present the images used to asses the model sensitivities described in 1037 Section~\ref{sec:sensitivity}. 1038 1039 \begin{figure}[ht] 1040 \begin{center} 1041 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_reference_depth} 1042 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_reference_speed} 1043 \caption{Results from reference model as reported in Section \protect \ref{sec:results}, 1044 i.e.\ including buildings and a friction value of 0.01. The seaward boundary condition is as 1045 provided by the URSGA model. The left image shows the maximum 1046 modelled depth while the right hand image shows the maximum modelled 1047 flow velocities.} 1048 \label{fig:reference_model} 1049 \end{center} 1050 \end{figure} 1051 1052 1053 1054 \begin{figure}[ht] 1055 \begin{center} 1056 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_minus10cm_depth} 1057 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_plus10cm_depth} 1042 1058 \caption{Model results with wave height at ANUGA boundary artificially 1043 modified to asses sensitivities. The first image is the reference1044 inundation extent as reported in Section \protect \ref{sec:results}1045 while the second and third show the inundation results if the wave1046 at the ANUGA boundary is reduced or increased by 10cm1047 respectively. The inundation severity varies in proportion tothe1048 boundary waveheight, but the model results are only slightly1049 sensitive to this parameter for therange of values tested.}1059 modified to asses sensitivities. The reference inundation extent is shown in Figure 1060 \protect \ref{fig:reference_model} (left). The left and right images 1061 show the inundation results if the wave at the ANUGA boundary 1062 is reduced or increased by 10cm respectively. The inundation 1063 severity varies in proportion to the boundary waveheight, but the 1064 model results are only slightly sensitive to this parameter for the 1065 range of values tested.} 1050 1066 \label{fig:sensitivity_boundary} 1051 1067 \end{center} … … 1055 1071 \begin{figure}[ht] 1056 1072 \begin{center} 1057 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_reference_speed} 1058 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_minus10cm_speed} 1059 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_plus10cm_speed} 1060 \caption{The maximal flow speeds for the same model parameterisations found in Figure \protect \ref{fig:sensitivity_boundary}.} 1073 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_minus10cm_speed} 1074 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_plus10cm_speed} 1075 \caption{The maximal flow speeds for the same model parameterisations 1076 found in Figure \protect \ref{fig:sensitivity_boundary}. The 1077 reference flow speeds are shown in Figure \protect 1078 \ref{fig:reference_model} (right).} 1061 1079 \label{fig:sensitivity_boundary_speed} 1062 1080 \end{center} … … 1065 1083 \begin{figure}[ht] 1066 1084 \begin{center} 1067 \includegraphics[width= 3.5cm,keepaspectratio=true]{sensitivity_reference_depth}1068 \includegraphics[width= 3.5cm,keepaspectratio=true]{sensitivity_nobuildings_depth}1085 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_nobuildings_depth} 1086 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_nobuildings_speed} 1069 1087 \caption{This figure shows the effect of having buildings as part of 1070 the elevation data set. The first image is the reference inundation 1071 extent as reported in Section \protect \ref{sec:results} where 1072 buildings were included. The second shows the inundation results for 1088 the elevation data set. 1089 The left hand image shows the inundation depth results for 1073 1090 a model entirely without buildings. As expected, the absence of 1074 1091 buildings will increase the inundation extent beyond what was 1075 surveyed.} 1092 surveyed. The right hand image shows the corresponding flow speeds in the absence of buildings. 1093 The reference results are as shown in Figure 1094 \protect \ref{fig:reference_model}.} 1076 1095 \label{fig:sensitivity_nobuildings} 1077 1096 \end{center} … … 1081 1100 \begin{figure}[ht] 1082 1101 \begin{center} 1083 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_reference_speed} 1084 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_nobuildings_speed} 1085 \caption{The maximal flow speeds for the same model parameterisations 1086 found in Figure \protect \ref{fig:sensitivity_nobuildings}.} 1087 \label{fig:sensitivity_nobuildings_speed} 1088 \end{center} 1089 \end{figure} 1090 1091 \begin{figure}[ht] 1092 \begin{center} 1093 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_reference_depth} 1094 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_f0_0003_depth} 1095 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_f0_03_depth} 1102 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_f0_0003_depth} 1103 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_f0_03_depth} 1096 1104 \caption{Model results for different values of Manning's friction 1097 coefficient . The first image is the reference inundation extent as1098 reported in Section \protect \ref{sec:results} where the friction1099 value $0.01$ was used across the entire domain while the second and1100 thirdshow the inundation results for friction values of 0.0003 and1105 coefficient shown to asses sensitivities. The reference inundation extent for a 1106 friction value of 0.01 is shown in Figure 1107 \protect \ref{fig:reference_model} (left). The left and right images 1108 show the inundation results for friction values of 0.0003 and 1101 1109 0.03 respectively. The inundation extent increases for the lower 1102 1110 friction value while the higher slows the flow and decreases the … … 1110 1118 \begin{figure}[ht] 1111 1119 \begin{center} 1112 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_reference_speed} 1113 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_f0_0003_speed} 1114 \includegraphics[width=3.5cm,keepaspectratio=true]{sensitivity_f0_03_speed} 1115 \caption{The maximal flow speeds for the same model parameterisations found in Figure \protect \ref{fig:sensitivity_friction}.} 1120 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_f0_0003_speed} 1121 \includegraphics[width=6cm,keepaspectratio=true]{sensitivity_f0_03_speed} 1122 \caption{The maximal flow speeds for the same model parameterisations 1123 found in Figure \protect \ref{fig:sensitivity_friction}. The 1124 reference flow speeds are shown in Figure \protect 1125 \ref{fig:reference_model} (right).} 1116 1126 \label{fig:sensitivity_friction_speed} 1117 1127 \end{center} -
anuga_work/publications/boxing_day_validation_2008/tsunami07.bib
r7210 r7249 123 123 @ARTICLE{toro92, 124 124 AUTHOR = {E.F. Toro}, 125 TITLE = {R eimann problems and the {WAF} method for solving the125 TITLE = {Riemann problems and the {WAF} method for solving the 126 126 two-dimensional shallow water equations}, 127 127 YEAR = {1992}, … … 1111 1111 PAGES = {793--810} 1112 1112 } 1113 1114 @TechReport{thomas2009, 1115 author = {Thomas, C. and Burbidge, D.}, 1116 title = {A Probabilistic Tsunami Hazard Assessment of the Southwest Pacific Nations.}, 1117 institution = {Geoscience Australia Professional Opinion No. 2009/2. GeoCat No. 68193}, 1118 year = {2009} 1119 }
Note: See TracChangeset
for help on using the changeset viewer.