Yang, W., 2020. Influence of time and space analysis of marine economy on catastrophe insurance risk assessment. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 583-586. Coconut Creek (Florida), ISSN 0749-0208.

Catastrophe insurance is the risk of huge property loss and serious casualties caused by natural disasters. Through catastrophe insurance system, risks can be dispersed. Catastrophe is characterized by a low frequency of occurrence. But once it happens, its impact is generally beyond people's expectations. Among them, maritime catastrophe is the highest risk. Therefore, it is necessary to make early warning and assessment on the risk of marine catastrophe insurance. In the traditional methods of early warning and estimation, due to the divergence of the characteristic parameters of the model, the estimation of the influence of the parameters caused by the economic characteristics is insufficient. So the accuracy of the model is low. In this paper, the maritime catastrophe risk is pre-warning and assessment by using the spatial-temporal characteristics of marine economy. The model integrates support vector machine and neural network algorithm, and can deeply mine the spatial-temporal differentiation characteristics of marine economy. Therefore, the risk assessment model of catastrophe insurance has been optimized. The experimental results show that the model proposed in this paper can improve the risk assessment accuracy of catastrophe insurance, and has a certain reference value for the risk early warning of catastrophe insurance.