水文水情信息大数据处理的现状及策略  

Current Situation and Strategy of Big Data Processing of Hydrologic Information

作　　者：潘立云 王玉珏 PAN Liyun;WANG Yujue(Dezhou Hydrology Center,Dezhou 253016,China)

机构地区：[1]德州市水文中心,山东德州253016

出　　处：《河南水利与南水北调》2022年第8期93-94,共2页Henan Water Resources & South-to-North Water Diversion

摘　　要：水文信息数据具有数据量大、影响指标多等特点,传统水文信息分析难以有效应对大容量、多指标的水文信息分析要求。大数据技术可有效应对大数据量、低价值密度、多指标性数据分析和处理要求,可以快速处理巨量水文监测信息,提取其中的价值数据,为水文信息的处理、分析提供了新的解决方案。基于此,文章论述了水文水情信息基本理论,分析了水文水情信息大数据处理现状,总结了水文水情信息大数据处理策略,旨在为同行提供借鉴。Hydrologic information data is characterized by large amount of data and multiple influential indicators.Traditional hydrologic information analysis is difficult to effectively cope with the requirements of hydrologic information analysis with large capacity and multiple indicators.Big data technology can effectively deal with the requirements of large data volume,low value density and multi-index data analysis and processing.It can quickly process a huge amount of hydrological monitoring information and extract the value data,providing a new solution for the processing and analysis of hydrological information.Based on this,the basic theory of hydrologic and hydrologic information are discussed in this paper.The present situation of hydrologic and hydrologic information dealt by big data processing strategy are analyzed.The hydrologic and hydrologic information dealt by big data processing strategy is summarized to provide reference for peers.

关 键 词：水文 大数据 水情信息 

分 类 号：P332[天文地球—水文科学]