计算机与数字工程2019，Vol.47Issue(12)：3107-3114,8.DOI:10. 3969/j. issn. 1672-9722. 2019. 12. 032
岚皋县地质灾害细网格预警模型及应用
Fine-Grid Forecast Model and Its Application to the Geological Hazard in Langao
摘要
Abstract
Due to its unique landform and variable climate,Langao country has relatively more geological disasters. In order to reduce the economic losses caused by disasters,a fine mesh model of the BP neural network for the early warning of geological di?sasters in Langao country is established,and geological hazards in the region are predicted and analyzed. Topographical features, formation lithology,topographic gradient,and rainfall are selected as evaluation indicators and GIS techniques are used to map the region's geological map into 368 2.5(km)*2.5(km)fine grids. On this basis,the rainfall level of each grid is calculated,and the hazard level and disaster level after the comprehensive addition of the hazards are used as training data for the model. After using this data to train and predict the geological disasters in Dadaohe town,Langao county,it is found that the forecast results are basi?cally consistent with the actual situation. Studies have shown that using this model for geological disaster prediction is more feasible.关键词
岚皋县/细网格预警/地质灾害/BP神经网络/GIS技术Key words
Langao country/fine-srid forecast/geological hazard/BP neural network/GIS technology分类
信息技术与安全科学引用本文复制引用
杨昆,朱志祥..岚皋县地质灾害细网格预警模型及应用[J].计算机与数字工程,2019,47(12):3107-3114,8.基金项目
陕西省重点研发计划项目(编号:2016KTTSGY01-01) （编号:2016KTTSGY01-01）
西安邮电大学教学改革研究项目(编号:JGZ201615)资助. （编号:JGZ201615）
