摘要
基于中国干线公路灾情资料分析了降水引发公路损毁灾害的时间与空间分布特征,并对诱发公路损毁灾害的高程、坡度、高程差、断层密度、工程岩组等环境因子及最大小时雨强、强降雨发生频次、强降雨持续时间等降水因子采用信息量法进行了分析对比。结果表明:坡度、强降雨持续时间、高程差、断层密度、强降雨发生频次等因子对公路损毁灾害发生的影响作用最大。依据综合信息量将全国干线公路损毁灾害危险性划分为极高、高、较高、低和极低5个等级。经过检验,采用信息量法划分公路损毁灾害危险性等级能较好地反映公路损毁灾害的潜在空间分布,本文研究结果可以为公路损毁灾害预报预警及工程建设提供参考。
Based on the national trunk road disaster data, the tempo-spatial distribution characteristics of road damages induced by precipitation were analyzed. According to the information value method, the environmental factors( elevation, slope, relief,f ault density,and lithology) and the precipitation factors( maximum hourly rain intensity,intensive rainfall frequency,and intensive rainfall duration) were analyzed and compared. The results show that the factors such as slope, intensive rainfall duration, relief,fault density and intensive rainfall frequency have the greatest effect on road damage. According to the comprehensive information value of the national trunk, road damage disaster risk is divided into five grades. It is tested that the risk classification can express the potential spatial distribution of the disaster. The study can supply a reference to road damage prevention, risk forecasting and road construction.
作者
王志
田华
狄靖月
许凤雯
WANG Zhi1, TIAN Hua1, DI Jing-yue2 ,XU Feng-wen2(1.Public Meteorological Service Center,China Meteorological Administration,Beijing 100081 ,China; 2. National Meteorological Center, Beijing 100081, China)
出处
《气象与环境学报》
2018年第4期98-104,共7页
Journal of Meteorology and Environment
基金
科技部公益性行业(气象)专项(GYHY201406029)
中国气象局关键技术集成应用项目(CAMGJ2012M73)共同资助
关键词
公路损毁
降水
危险性
信息量模型
Road damages
Precipitation
Hazard
Information value model