Developing water level maps in the joint probability zone influenced by extreme tide and rainfall events

作者: Michael Leonard , Feifei Zheng , Seth Westra , Mark Babister , Ivan Varga

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摘要: Flood risk in estuarine regions can be difficult to estimate due the relationship between extreme ocean levels and catchment generated streamflow. One method for estimating flood from two extremes is design variable method, but this typically applied at an individual location along river reach, so that, it unclear how feasibly implemented with output dimensional hydraulic models. Adapting a spatial setting presents interesting challenges terms of computational demand, incorporate outside main channel whether or not independently across grid cell locations. To test these issues, case study presented Nambucca Mid North Coast region, NSW. At 144 water level maps were used, based on TUFLOW model output, corresponding combinations 12 storm tide return-levels rainfall event return-levels, 63%AEP 0.05%AEP. The was modified accommodate partially wet cells repeatedly each location. two-dimensional computationally intensive yielded good results study, showing considerable potential wider application.

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