Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models

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.

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An Integrated Approach for the Simulation Modeling and Risk Assessment of Coastal Flooding

Water ◽

10.3390/w12082076 ◽

2020 ◽

Vol 12 (8) ◽

pp. 2076

Author(s):

Yazhi Zheng ◽

Hai Sun

Keyword(s):

Risk Assessment ◽

Storm Surge ◽

Flood Risk ◽

Simulation Modeling ◽

River Estuary ◽

Coastal Flooding ◽

Coastal Areas ◽

Economic Losses ◽

Actual Case ◽

Ca Model

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.

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Physical vulnerability assessment on storm surge disaster in China's coastal areas from 1990 to 2009

2011 19th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2011.5980707 ◽

2011 ◽

Author(s):

Lirong Tan ◽

Jun Wang ◽

Ke Chen

Keyword(s):

Storm Surge ◽

Vulnerability Assessment ◽

Coastal Areas ◽

Physical Vulnerability ◽

Storm Surge Disaster

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

Marine Policy ◽

10.1016/j.marpol.2021.104531 ◽

2021 ◽

Vol 129 ◽

pp. 104531

Author(s):

Xiaojing Yi ◽

Kun Sheng ◽

Yuanyue Wang ◽

Shuhong Wang

Keyword(s):

Economic Development ◽

Storm Surge ◽

Coastal Areas ◽

Disaster Losses ◽

Storm Surge Disaster

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The Analysis of Fuzzy Inference System and Fuzzy Comprehensive Evaluation and their Application on Storm Surge Disaster Assessment

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2009.837 ◽

2009 ◽

Author(s):

Jianxin Zhang ◽

Qihua Xiao ◽

Dongmei Huang ◽

Jianwei Zhang

Keyword(s):

Storm Surge ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Comprehensive Evaluation ◽

Fuzzy Comprehensive Evaluation ◽

Inference System ◽

Disaster Assessment ◽

Storm Surge Disaster

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Socioeconomic effects of pension spending: evidence from Spain

International Journal of Social Economics ◽

10.1108/ijse-01-2019-0047 ◽

2020 ◽

Vol 47 (5) ◽

pp. 599-617

Author(s):

Fernando Bermejo ◽

Eladio Febrero ◽

Andre Fernandes Tomon Avelino

Keyword(s):

Peer Review ◽

Social Protection ◽

Pension System ◽

Decomposition Analysis ◽

Value Added ◽

Total Output ◽

Alternative View ◽

Input Output ◽

Structural Decomposition Analysis ◽

Content Type

PurposeThe purpose of this study is to provide broader understanding of the significant role that the pension system has in the Spanish economy by estimating the sectoral production, employment and income sustained by pensioners' consumption.Design/methodology/approachBased on input–output tables by the World Input–Output Database and consumption data from the Household Budget Survey by the Spanish Statistical Office, a demoeconomic model is applied to quantify the direct impacts, indirect impacts from interindustry links and induced impacts from income–consumption connections over a nine-year period (2006–2014). Then, the factors driving the evolution of total output, employment and value added during such period have been examined by using structural decomposition analysis.FindingsThe growing participation of consumption by pensioner households in final demand had proven crucial during the 2008 crisis to alleviate the negative trend in production and employment derived from the collapse in consumption suffered by the rest of households.Practical implicationsDetermining the underlying factors driving changes in both employment and income during the 2008 crisis can be of interest in political decision-making on the sustainability of the Spanish pension system.Social implicationsThe results of estimating both the employment and income supported by pensioners' consumption reveal the significant stabilizing effect of the public spending on pensions, particularly during the 2008 crisis.Originality/valueThe current Spanish approach of attaining the pension system sustainability by merely reducing social protection costs ignores the adverse consequences of a lower pensioners' demand. This paper addresses an alternative view in which pension spending is not considered a burden on economic growth but rather a means of improving the level of production and employment.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2019-0047

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Flood risk influenced by the compound effect of storm surge and rainfall under climate change for low-lying coastal areas

The Science of The Total Environment ◽

10.1016/j.scitotenv.2020.144439 ◽

2021 ◽

Vol 764 ◽

pp. 144439

Author(s):

Shih-Chun Hsiao ◽

Wen-Son Chiang ◽

Jiun-Huei Jang ◽

Han-Lun Wu ◽

Wei-Shiun Lu ◽

...

Keyword(s):

Climate Change ◽

Storm Surge ◽

Flood Risk ◽

Coastal Areas ◽

Compound Effect

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A Research on the Fuzzy Risk Assessment Model of Storm Surge Disaster Based on Artificial Neural Network

2010 2nd International Workshop on Database Technology and Applications ◽

10.1109/dbta.2010.5658968 ◽

2010 ◽

Author(s):

Fang Ji ◽

Yijun Hou

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Artificial Neural Network ◽

Storm Surge ◽

Assessment Model ◽

Risk Assessment Model ◽

Artificial Neural ◽

Storm Surge Disaster ◽

Fuzzy Risk Assessment

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Estimation of Communities and Tourists Willingness to Pay for Tsunami Disaster Mitigation of Marine Tourism in the Kalianda Coastal Area, South Lampung Regency

Jurnal Ilmu Lingkungan ◽

10.14710/jil.19.1.1-9 ◽

2021 ◽

Vol 19 (1) ◽

pp. 1-9

Author(s):

Permana Ari Soejarwo ◽

Rismawaty Rusdi ◽

Taryono Kodiran ◽

Umi Muawanah

Keyword(s):

Willingness To Pay ◽

Contingent Valuation Method ◽

Coastal Areas ◽

Disaster Mitigation ◽

Coastal Vegetation ◽

Economic Losses ◽

Coastal Protection ◽

Tsunami Early Warning ◽

Marine Tourism ◽

Tsunami Disaster

Indonesia coastal areas have considerable natural disaster potential including in Kalianda District South Lampung Regency. Natural disasters such as earthquakes, tsunamis and volcanic activity are likely to occur in coastal areas. The disaster has an impact on economic losses in the marine tourism area. In order to mitigate tsunami disasters in the marine tourism area of Kalianda District, South Lampung Regency, 3 (three) types of tsunami mitigation are needed, namely: construction of coastal protection, installation of the Tsunami Early Warning System (TEWS) and planting of coastal vegetation. This study aims to determine the value of willingness to pay (WTP) of community and tourists in supporting the management of the three types of tsunami disaster mitigation above by using economic valuation / Contingent Valuation Method (CVM). The results of this study indicate that the WTP value of community for coastal protection management is Rp 15.547/person/month while the WTP value of tourist is Rp 12.030/one time entry. Meanwhile, for the WTP value of TEWS management is obtained Rp 12.174/person/month. WTP value for the management of coastal vegetation is Rp 12.444/person/month. The WTP calculation is based on consideration of 3 (three) factors, namely age, income, livelyhood and education level. This research shows that the community and tourists are willing to pay for the management of the three types of tsunami disaster mitigation through BUMDes and entrance fees for marine tourism area. The three types of tsunami disaster mitigation can protect, provide security and calm to the community and tourists in the marine tourism area of Kalianda District, South Lampung Regency from future tsunami.

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