Research on Meteorological Disaster Warning Model Based on Big Data Analysis:A Case Study of the Parlung Zangbo Area in Southeastern Tibet
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..
big date analysisHadoopdata mininggeological disastervisualization
NETL
NSTL
万方数据
