3D simulation of storm surge disaster based on scenario analysis

2016 ◽  
Vol 22 (2) ◽  
pp. 110-120 ◽  
Author(s):  
Xiaoling Wang ◽  
Xiaopei Sun ◽  
Shengli Zhang ◽  
Ruirui Sun ◽  
Ruijin Li ◽  
...  
2013 ◽  
Vol 69 (2) ◽  
pp. I_976-I_981
Author(s):  
Yoshitaka MATSUZAKI ◽  
Shigeo TAKAHASHI ◽  
Masayuki BANNO ◽  
Tomotsuka TAKAYAMA ◽  
Kazuhiro GODA

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.


2013 ◽  
Vol 734-737 ◽  
pp. 3280-3285
Author(s):  
Ling Di Zhao ◽  
Ya Ru Hao

The economic loss forecasting model is built up on the basis of the Fourier series to simulate economic loss and grades in storm surge disaster of Zhejiang, Fujian and Guangdong Provinces. The wind speed can be used to forecast the economic loss of Guangdong Province, and the accuracy of trend and grade forecasting is good (80%). The wind power data can be used in Zhejiang and Fujian Provinces, and the accuracy results are both inferior (60%). Therefore, in the economic warning of storm surge disaster, the Fourier series model can be applied to forecast economic loss and grades.


2014 ◽  
Vol 70 (2) ◽  
pp. I_1446-I_1450 ◽  
Author(s):  
Shuichi KURE ◽  
Anawat SUPPASRI ◽  
Carine J. YI ◽  
Erick MAS ◽  
Jeremy D. BRICKER ◽  
...  

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