A Study of Storm Surge Disasters Based on Extreme Value Distribution Theory
MetadataShow full item record
In this study, a statistical model was set up using extreme value distribution theory to estimate the return periods for both the highest surge levels and the adjusted direct economic losses from storm surge disasters based on the historical database. The extreme value distribution theory has been widely applied in hydrology and coastal engineering, and one well-performing extreme distribution is the Gumbel distribution. Based on the Gumbel distribution, three parameter estimation methods were used to determine the best method for generating the Gumbel distribution functions; subsequently, the expressions for the return periods were derived. The least square method was identified as the best parameter-estimation method for this study. Comparisons were implemented amo ng return periods of the highest surge levels with the adjusted direct economic loss, which showed that the linear functional relationship between these two indicators was not significant. This study also found there was strong spatial autocorrelation for the highest surge levels with the adjusted direct economic loss by employing spatial analysis along the China's coastline. Analysis based on comparisons among the return periods of the highest surge levels and the adjusted direct economic loss in three coastal regions showed different levels of return periods the regions tended to have. Furthermore, analysis of the variation in indicators between the former half and the latter half of the study period reflected the change in climate. The application of the extreme value distribution theory was extended to evaluate economic losses during a storm surge disaster, and the underlying relationships and the deviations between the highest surge levels and the adjusted direct economic loss were analyzed, which indicated the damages caused by storm surges did not completely depend on the surge level.
Showing items related by title, author, creator and subject.
Yang, S.; Liu, Xin; Liu, Q. (2016)Storm surge is one of the most devastating coastal disasters in China. The average value of the direct economic loss caused by storm surge is 10.7 billion RMB in the last 5 years (2011–2015). There are urgent needs to ...
Kennedy, Anna (2006)A series of on-farm quality assurance schemes for red meat producers across Australia were developed in the late 1990s in response to increasing global demands for greater accountability within the whole food. The Cattlecare ...
Inoue, Madoka (2012)This thesis examines infant feeding practices, including knowledge and attitudes towards breastfeeding, factors that influence the duration of breastfeeding, and breastfeeding outcomes in relation to postpartum women’s ...