Changeset 4116

Timestamp:

Dec 22, 2006, 1:31:38 PM (18 years ago)

Author:

ole

Message:

Work on linuxconf paper

File:

• anuga_work/publications/linuxconf_2006/paper_ole_nielsen.tex (modified) (3 diffs)

anuga_work/publications/linuxconf_2006/paper_ole_nielsen.tex

@@ -29 +29 @@
 O.~M.~Nielsen\thanks{Risk Assessment Methods Project, Geospatial and
 Earth Monitoring Division, Geoscience Australia, Symonston,
-\textsc{Australia}. \protect\url{mailto:Ole.Nielsen@ga.gov.au}} 
+\textsc{Australia}. \protect\url{mailto:Ole.Nielsen@ga.gov.au}}\footnotemark[1]
 \and
 S.~G.~Roberts\thanks{Dept. of Maths, Australian National University,
@@ -64 +64 @@
 % Use the \verb|abstract| environment.
 \begin{abstract}
-Geoscience Australia and the Australian National University are
-developing a hydrodynamic inundation modelling tool called \AnuGA{}
-to help simulate the impact of natural inundation hazards such as
-riverine flooding, storm surges and tsunami. The core of \AnuGA{} is
-a \Python{} implementation of a finite-volume method for solving the
-conservative form of the Shallow Water Wave equation.  In this paper
-we describe the parallelisation of the code using a domain
-decomposition strategy. We describe the use of the the \Metis{}
-graph partitioning library to decompose our finite volume meshes.
-The parallel efficiency of our code is tested using a number of mesh
-partitions, and we verify that the \Metis{} graph partition is
-particularly efficient.
+Modelling the effects on the built environment of natural hazards such
+as riverine flooding, storm surges and tsunami is critical for
+understanding their economic and social impact on our urban
+communities.  Geoscience Australia and the Australian National
+University have developed a hydrodynamic inundation modelling tool
+called \AnuGA{} to help simulate the impact of these hazards. 
+The core of \AnuGA{} is a \Python{} implementation of a finite-volume method
+for solving the conservative form of the Shallow Water Wave equation.
+In this paper we describe the model, the architecture and some applications.
+ANUGA has recently been released as Open Source. This strategy will enable
+free access to the software and allow the risk research community to
+use, validate and contribute to the software in the future.
+
+%This method allows the study area to be represented by an unstructured
+%mesh with variable resolution to suit the particular problem.  The
+%conserved quantities are water level (stage) and horizontal momentum.
+%An important capability of ANUGA is that it can robustly model the
+%process of wetting and drying as water enters and leaves an area. This
+%means that it is suitable for simulating water flow onto a beach or
+%dry land and around structures such as buildings.
+%
+%To set up a particular scenario the user generates a mesh with regions
+%and boundary segments identified by symbolic tags used to bind values
+%to arbitrary functions supplied during the simulation.  In addition,
+%all quantities may be assigned or updated by supplying either constant
+%values, arbitrary functions or general expressions combining existing
+%quantities.  Arbitrary forcing terms such such as wind stress or
+%atmospheric pressure gradients may also be supplied.  While this
+%interface provides great flexibility due to Python's object model,
+%dynamic typing and constructs such as generators, the computationally
+%intensive components are written for efficiency in the C language
+%working directly with the Numerical Python structures.
 \end{abstract}
 
@@ -443 +463 @@
 
 
-\paragraph{Acknowledgements:}
-The authors are grateful to Belinda Barnes, National Centre for
-Epidemiology and Population Health, Australian National University,
-and Matt Hayne and Augusto Sanabria, Risk Research Group, Geoscience
-Australia, for helpful reviews of a previous version of this paper.
-Author Nielsen publish with the permission of the CEO, Geoscience
-Australia.
+%\paragraph{Acknowledgements:}
+%The authors are grateful to Belinda Barnes, National Centre for
+%Epidemiology and Population Health, Australian National University,
+%and Matt Hayne and Augusto Sanabria, Risk Research Group, Geoscience
+%Australia, for helpful reviews of a previous version of this paper.
+%Author Nielsen publish with the permission of the CEO, Geoscience
+%Australia.
 
 % Preferably provide your bibliography as a separate .bbl file.