SUMMARY OF THE SPECIAL SESSION “STORM SURGE DISASTER PREVENTION”

2017 ◽  
Vol 73 (2) ◽  
pp. I_1045-I_1049
Author(s):  
Noriaki HASHIMOTO
2011 ◽  
Vol 67 (2) ◽  
pp. I_1241-I_1245
Author(s):  
Kazuya WATANABE ◽  
Naruhiko FUJII ◽  
Akira TOKUDA ◽  
Kazushi NOMURA ◽  
Kaori NAKAJIMA

2013 ◽  
Vol 69 (2) ◽  
pp. I_976-I_981
Author(s):  
Yoshitaka MATSUZAKI ◽  
Shigeo TAKAHASHI ◽  
Masayuki BANNO ◽  
Tomotsuka TAKAYAMA ◽  
Kazuhiro GODA

2020 ◽  
Vol 12 (22) ◽  
pp. 3723 ◽  
Author(s):  
Qingrong Liu ◽  
Chengqing Ruan ◽  
Jingtian Guo ◽  
Jian Li ◽  
Xihu Lian ◽  
...  

Rapidly developing cities could require an urgent hazard assessment to ensure the protection of their economy and population against natural disasters. However, these cities that have rapidly developed should have historical records of observations that are too short to provide sufficient data information for such an assessment. This study used ocean numerical models (i.e., Finite-Volume Community Ocean Model (FVCOM) and Parabolic Mild-Slope Wave Module (MIKE 21 PMS) to reconstruct data for a storm surge hazard assessment of the levee at Weifang (China). LiDAR (Light Detection and Ranging) data were also used to obtain 3D point cloud data and the structure of the levee. The designed levee height was calculated based on the simulations and 3D point cloud data, and the results were compared with measured heights to evaluate whether the levee is sufficiently high to satisfy the safety requirement. The findings of this work will enhance the marine disaster prevention capacity of the region and could help reduce economic losses associated with marine-related disasters. The results could also provide support for future work on disaster prevention in the field of coastal marine engineering.


2020 ◽  
Vol 12 (18) ◽  
pp. 7347
Author(s):  
Xue Jin ◽  
U. Rashid Sumaila ◽  
Kedong Yin

Storm surge disaster is one of the biggest threats to coastal areas. Over the years, it has brought serious losses to the economy and environment of China’s coastal areas. In this paper, Guangdong Province is taken as the research object to evaluate the damage caused by storm surge disasters. First of all, regarding the three-industry classification standards of the National Bureau of Statistics, combined with the storm surge disaster assessment index system, the 10-sector storm surge disaster loss input-output table is compiled and analyzed. Secondly, the indirect economic losses of storm surge disasters between 2007–2017 are determined by calculating the direct and indirect consumption coefficients. Thirdly, based on the static input-output model, considering the time factor, the dynamic input-output model of storm surge disaster assessment is established to calculate the cumulative output loss under different recovery periods (30 days, 90 days, 120 days, 180 days, 360 days). The results indicate that: (1) the losses, after a storm surge, in the agricultural economy have the greatest impact on the manufacturing sector, and conversely, they have less effect on the science, education and health service sectors; as well as the construction sector; (2) taking the industry with the biggest loss ratio as an example, the recovery of damaged industries is relatively rapid in the early stage and tends to be stable in the later stage of recovery; (3) the total output loss calculated using the static input-output model is greater than that computed using the dynamic input-output model. Researching the assessment of the direct and indirect loss due to storm surge disasters is of great value and practical significance for the scientific and rational planning of the country’s production layout, the maintenance of social and economic stability and the protection of life and property.


Sign in / Sign up

Export Citation Format

Share Document