ABSTRACT
In order to accurately improve the ability of disaster prevention and reduction in coastal areas, it is necessary to make a detailed assessment of marine disaster risks. Taking Shanghai, a typical coastal area, as the research area, this paper constructs an index evaluation system based on AHP, uses the Lawson algorithm and ordinary Kriging interpolation to realize refinement, and comprehensively considers natural and social attributes to build a risk assessment model for fine assessment of marine disaster risks. The central urban area has the highest risk; areas along the south bank of the Changjiang River and the north bank of Hangzhou Bay are medium- and high-risk; the central part of Pudong, Jiading, and the southeast corner of Chongming are mild- and medium-risk areas; and the north central part of Chongming and the northwest part of Shanghai, such as Qingpu, are micro-risk areas.
