A Calculation Method for Fine-grained Assessment of Storm Surge Disaster Risk

Abstract

The invention relates to a calculating method for refined assessment on storm tide disaster risks. The method is performed through the following steps: building a varied category of grid units for regions affected by storm tide disasters; using coast lines as a reference to calculate the distances from the centers of mass of the different grid units to the coast lines; utilizing a highly precise digital elevation landform to calculate the average elevation inside each grid; relying on experience and statistic equations to calculate the largest submergence set-up; based on the average elevation and the largest submergence set-up, obtaining the average depth of each grid unit; giving different degrees of vulnerability to the coast lines according to research on their types and calculating the greatest possible losses of the different grid units. The calculating method provides more space for storm disaster risk evaluation, reflects loss possibility differences from more refined space units and raises the accuracy of evaluation results.

Description

technical field [0001] The invention relates to the technical field of coastal disaster risk assessment, in particular to a loss rate calculation method for small-scale areas affected by storm surge disasters. Background technique [0002] Storm surge disasters not only rank first in my country's marine disasters, but also become one of the most serious natural disasters that threaten my country's coastal economic development. At present, the domestic storm surge disaster comprehensive risk assessment technology system is not yet mature, and the storm surge disaster risk assessment results are not enough to meet the actual application needs. [0003] The possible loss of storm surge disasters has always been a difficult problem in disaster risk assessment. Foreign research institutions such as commercial model insurance companies have developed a series of models for storm surge risk assessment and comprehensive loss assessment, which are used to determine insurance rates a...

AI Technical Summary

Problems solved by technology

However, due to the large number of types and quantities of data to be collected, the workload is large, and there are regional differences in vulnerability, it is difficult to make effective comparisons

[0007] The results of storm surge disaster risk assessment are developing in the direction of quantification, regional integration, and management spatialization. The existing storm surge disaster risk assessment cannot quantitatively reflect the specific differences between regions, so it cannot meet the requirements of storm surge disaster risk management.

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