https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15434 Wed 11 Apr 2018 17:16:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12759 Wed 11 Apr 2018 15:52:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12625 Wed 11 Apr 2018 15:12:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12547 Wed 11 Apr 2018 13:45:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12754 T, discount rate r, and time T are considered. The results are given in terms of mean cumulative annual loss. The discount rate was found to be a key parameter affecting cumulative damage prediction. Since damage often only occurs once a threshold level of hazard has occurred (such as a flood level exceeding the floor level of a house), then the influence of this threshold value on damage is significant. Damage/impact models utilising probabilistic hazard were used to verify the robustness of results. Results are very sensitive to threshold. Time-dependent predictions of damage can help decisionmakers assess the impact of climate change and the economic viability of climate change adaptation strategies.]]> Wed 11 Apr 2018 13:07:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13506 Wed 11 Apr 2018 13:07:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12648 Wed 11 Apr 2018 12:38:06 AEST ]]>