Risk Assessment of Mountainous Roadside Slopes Under Typhoon Disaster Based on Big Data Analysis

Abstract

In order to assess the risk of roadside slopes under typhoon disasters and help pre-disaster control of mountainous road, a risk assessment model of the roadside slopes based on big data analysis is constructed. Through the analysis of risk assessment theory, a unified risk assessment model considering multi-level and multi-factor is deduced. The data of 48 typhoons that have affected Ningbo since 2000 were obtained by checking meteorological data. Through inspection of mountain roads in Haishu District, the technical condition and surrounding environment data of 219 slopes were collected, and a status database of slopes was established. Each slope requires 56 data from screening to evaluation, so the total amount of data to evaluate the risk condition of 219 mountain slopes under 48 typhoons can reach 588,672. This risk evaluation has many indicators and complex calculations, and has obvious big data characteristics. Relying on the Alibaba Cloud platform, using big data analysis and based on risk assessment theory, a slope risk assessment system under typhoon disasters was built to help road management departments make risk control decisions. In the case study, the risk assessment of the mountainous roadside slopes in Haishu District of Ningbo City under the typhoon "In-Fa" in 2021 was carried out, and the results verified the feasibility of this risk assessment method.