Probabilistic estimation of storm erosion using analytical, semi-empirical, and process based storm erosion models
Probabilistic estimation of storm erosion using analytical, semi-empirical, and process based storm erosion models
复制标题
使用分析、半经验和基于过程的风暴侵蚀模型对风暴侵蚀进行概率估计
DOI:
10.1016/j.coastaleng.2013.08.007
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发表时间:
2013
影响因子:
4.4
通讯作者:
D. Roelvink
中科院分区:
文献类型:
--
作者:
D. Callaghan;R. Ranasinghe;D. Roelvink
Probabilistic estimates for coastal storm erosion volumes are increasingly being sought by contemporary risk based coastal zone management frameworks. Such estimates can be obtained via probabilistic models that incorporate a structural function element which calculates storm erosion (i.e. storm erosion model). Intuitively, the more sophisticated the storm erosion model embedded in the probabilistic model, the more accurate and robust the probabilistic storm erosion volumes should be, albeit at significant additional computational cost. This study assesses the relative performance of three storm erosion models with varying levels of complexity when embedded within Callaghan et al.'s (2008a) probabilistic framework for estimating storm erosion. The storm models tested are: the analytical Kriebel and Dean (1993) model, the more complex semi-empiricalSBeachmodel and the highly complex and process-basedXBeachmodel.The probabilistic model is applied at data rich Narrabeen beach, Australia. Kriebel and Dean (1993) andSBeachare used ‘on-line’ in the probabilistic simulations, whileXBeachis used with an innovative off-line tabulation approach to facilitate reasonable computational times.SBeachis calibrated for a mid-range erosion event whileXBeachis validated for the same single erosion event as well as for all measured storm erosion volumes during the 30 year study period. The Kriebel and Dean (1993) model is used with recommended parameter settings and therefore does not require calibration.When bothSBeachandXBeachare calibrated against the single erosion event,SBeachprovides the most accurate and robust probabilistic estimates of storm erosion. However, whenXBeachis calibrated using the entire erosion volume data series, the results improve significantly raising the accuracy and robustness of the probabilistic estimates of storm erosion volumes obtained withXBeachto be on par with those obtained withSBeach. However, onlyXBeachpredicts storm erosion volumes with the physically more plausible behaviour of a downward concave tail shape when plotted as cross-shore beach-erosion volume on a vertical linear axis against return period on a horizontal logarithmic axis.The simulation time (on a standard single processor) when using the simple Kriebel and Dean (1993) model is about 1 day, whereas forSBeach(on-line) andXBeach(tabulation), the simulation time is about 1000 h. However, the physically more plausible and the more accurate and robust results that can be obtained withSBeachorXBeachjustifies the additional computational cost.