【摘要】 为研究江西省第四系覆盖层边坡的风险状态,提出了一种基于动量改进小波神经分析的评价模型。以江西省第四系覆盖层边坡为研究对象,在综合了供电、传感、通信等技术的基础上,对第四系覆盖层边坡的地质构造、坡比、土壤特性等内在因素及降雨等外在因素与滑坡灾害相互关系进行研究,运用动量改进小波神经分析方法对江西省第四系覆盖层边坡滑坡风险评估。评价结果表明:边坡的稳定性评价结果与实际调查结果吻合。研究结果可以为江西省第四系覆盖边坡防灾减灾、预警监测提供较好的依据。更多还原

【Abstract】 In order to study the risk state of Quaternary overburden slope in Jiangxi Province, an evaluation model based on momentum improved wavelet neural analysis was proposed. Based on the technology of power supply, sensing and communication, the relationship between internal factors(such as geological structure, slope ratio, soil properties), external factors(such as rainfall) of Quaternary overburden slope and landslide disaster were studied. And the momentum improved wavelet neural analysis method was used to evaluate the landslide risk of Quaternary overburden slope in Jiangxi Province. The results showed that the slope stability evaluation results were consistent with the actual investigation results. It can provide a good basis for the prevention and mitigation of Quaternary overburden landslides and early warning monitoring in Jiangxi Province.更多还原