02310    a2200337   4500001001100000005001700011008003900028020001800067037003600085040000700121041000800128072001500136072001500151072001600166072001400182072001300196072001300209072001400222072001200236072002100248072002100269072002100290072002100311100001500332245006200347250000600409260002400415300001000439520150800449999001501957113802740520250317100419.0250312042015xx                   eng    a9781138027404  bTaylor & FranciscGBP 41.99fBB  a01  aeng7 aRBK2thema7 aPST2thema7 aRNCB2thema7 aTN2thema7 aRBK2bic7 aPST2bic7 aRNCB2bic7 aTN2bic7 aNAT0100002bisac7 aTEC0090202bisac7 aTEC0091102bisac7 aTEC0100302bisac1 aYuqing Lin10aUnstructured Cellular Automata in Ecohydraulics Modelling  a1  bCRC Pressc20150125  a128 p  bThe field of ecohydraulics integrates hydrodynamic and eco-dynamic processes. While hydrodynamic processes are usually well described by partial differential equations (PDE’s) based on physical conservation principles, ecosystem dynamics often involve specific interactions at the local scale. Because of this, Cellular Automata (CA) are a viable paradigm in ecosystem modelling. All cells in a CA system update their states synchronously at discrete steps according to simple local rules. The classical CA configuration consists of uniformly distributed cells on a structured grid. But in the field of hydrodynamics, the use of unstructured grids has become more and more popular due to its flexibility to handle arbitrary geometries. The main objective of this research is to identify whether the CA paradigm can be extended to unstructured grids. To that end the concept of Unstructured Cellular Automata (UCA) is developed and various UCA configurations are explored and their performance investigated. The influence of cell size was analyzed in analogy with the Finite Volume Method. A characteristic parameter —min distance of UCA– was put forward and tested by numerical experiments. Special attention was paid to exploring the analogies and differences between the discrete CA paradigm and discrete numerical approximations for solving PDE’s. The practical applicability of UCA in ecohydraulics modelling is explored through a number of case studies and compared with field measurements.  c3293d3293