Typhoon Loss Assessment in Rural Housing in Ningbo Based on Township-Level Resolution

The purpose of this paper was to provide a new approach achieve quantitative and accurate typhoon loss assessment disaster-bearing bodies at township-level resolution. Based on the policy insurance data Ningbo city, took rural housing as target body analyzed aggregated disaster losses such payout amount insured rate in area under influence 25 typhoons during 2014–2019. intensity disaster-causing factors maximum average wind speed were simulated generated with field engineering model, high-resolution model established using RBF artificial neural network. It found that damage higher townships southern than northern Ningbo, larger rates concentrated mountainous or coastal areas are prone secondary disasters attack typhoon’s peripheral spiral rain belt. network can effectively establish from causal bodies, has faster convergence smaller overall prediction error commonly used BP