基于大数据分析的气象灾害预警模型研究——以藏东南帕隆藏布地区为例  

Research on Meteorological Disaster Warning Model Based on Big Data Analysis:A Case Study of the Parlung Zangbo Area in Southeastern Tibet

作　　者：展鹏 刘志红[2] 杨康权[3] ZHAN Peng;LIU Zhihong;YANG Kangquan(School of Information,Sichuan Vocational College of Finance Economics,Chengdu Sichuan 610100;School of Resource Environment,Chengdu University of Information Technology,Chengdu Sichuan 610225;Sichuan Meteorological Observatory,Chengdu Sichuan 610072)

机构地区：[1]四川财经职业学院信息学院,四川成都610100 [2]成都信息工程大学资源环境学院,四川成都610225 [3]四川省气象台,四川成都610072

出　　处：《软件》2024年第11期29-32,共4页Software

基　　金：四川省科技计划重点研发项目(2022YFS0542)资助。

摘　　要：海量气象灾害数据中所蕴藏的科学价值巨大,可借助大数据挖掘技术对气象灾害数据进行预警分析。本文利用Hadoop技术下的HDFS系统将各类气象灾害数据进行信息分类存储,通过气象数据仓库对各类地质灾害数据进行有效管理,利用Map Reduce编程模型对研究区地质灾害空间数据进行运算分析,并借助Python强大的可视化能力对研究区域气象灾害预警进行可视化呈现,为利用大数据技术对地质灾害气象数据预警研判提供一种新的研究思路。The scientific value contained in massive meteorological disaster data is enormous,and big data mining technology can be used to conduct early warning analysis of meteorological disaster data.This article uses the HDFS under Hadoop technology to classify and store various types of meteorological disaster data,effectively manage various types of geological disaster data through a meteorological data warehouse,use MapReduce programming model to calculate and analyze spatial data of geological disasters in the research area,and use Python's strong visualization ability to visualize and present meteorological disaster warnings in the research area,providing a new research idea for using big data technology to study and judge geological disaster meteorological data warnings.

关 键 词：大数据分析 HADOOP 数据挖掘 地质灾害 可视化 

分 类 号：P343.6[天文地球—水文科学]