基于位置微博的大风信息提取及应用

Information Extraction of Strong Winds and Application Based on Location Microblogs

利用广东省广州市2017年1月1日至5月30日的大风信息和灾情数据,分析了大城市位置微博的时空特征,在此基础上采用关键词语意分析、风险等级映射、灾情权重值结合GIS热点分析的方法构建基于位置微博的大风信息提取架构,实现大风信息的提取,并利用个例进行验证。研究表明:本文提出基于位置微博的大风信息提取架构,对收集大风信息和灾情具有一定的实用价值。而位置微博信息本身具有及时性强、成本低、数据量大的优势,能作为一种大风信息提取的有效补充手段。

Aiming at solving the problem of wind disaster information acquisition in Guangzhou,Guangdong Province,this study established an application model based on the characteristic analysis of location microblogs.The acquisition model has such functions as semantic retrieval and filtering analysis,disaster information classification and mapping,disaster situation weighting and GIS hotspot analysis.The model was applied to extract the wind information in Guangzhou,during the strong convection weather in21 April 2017.The result shows that the wind information acquisition model has a certain practical value for wind information acquisition problems.Compared with the conventional method of wind information acquisition,the location microblog data was more rapid,low cost and abundant.This model provides a new method for wind disaster information extraction.