Can economic development alleviate storm surge disaster losses in coastal areas of China?

Marine Policy ◽  
2021 ◽  
Vol 129 ◽  
pp. 104531
Author(s):  
Xiaojing Yi ◽  
Kun Sheng ◽  
Yuanyue Wang ◽  
Shuhong Wang
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.


2021 ◽  
Vol 764 ◽  
pp. 144439
Author(s):  
Shih-Chun Hsiao ◽  
Wen-Son Chiang ◽  
Jiun-Huei Jang ◽  
Han-Lun Wu ◽  
Wei-Shiun Lu ◽  
...  

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

2012 ◽  
Vol 599 ◽  
pp. 543-546
Author(s):  
Yang Yong ◽  
Xiao Liu ◽  
Yao Zong Zhang

With the economic development of the coastal development zone, the coastal industrial and economic development is rapid and the other residents' living consumption is lagging behind, resulting in a new coastal development zone COD / BOD low, coupled with the regional characteristics of the coastal areas, making the coastal areas of urban sewagetreatment plant of the difficult problems of biochemical treatment. This study focused on the reasons for the difficulties of urban sewage in coastal areas of biochemical treatment solution to the problem, and provide relevant technical programs and technical parameters for the construction of a new coastal development zone in the city sewage treatment.


Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2076
Author(s):  
Yazhi Zheng ◽  
Hai Sun

The evaluation of storm surge flood risk is vital to disaster management and planning at national, regional and local levels, particularly in coastal areas that are affected more severely by storm surges. The purpose of this paper is to propose a new method that includes two modules for the simulation modeling and risk assessment of coastal flooding. One is a hydrodynamic module for simulating the process of the flood inundation coastal inundation arising from storm surge, which is based on a cellular automata (CA) model. The other is a risk assessment module for quantitatively estimating the economic loss by using the inundation data and land use data. The coastal areas of Pearl River estuary in China were taken as a case study. Simulation results are compared to experimental results from MIKE 21 and depth data from a social-media-based dataset, which demonstrates the effectiveness of the CA model. By analyzing flood risk, the flood area and the direct economic losses predicted are close to the actual case incurred, further demonstrating the computational reliability of the proposed method. Additionally, an automatic risk assessment platform is designed by integrating the two modules in a Geographic Information System (GIS) framework, facilitating a more efficient and faster simulation of coastal flooding. The platform can provide the governments as well as citizens of coastal areas with user-friendly, real-time graphics for coastal flood disaster preparation, warning, response and recovery.


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.


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