水文水情信息大数据处理现状及策略

Big data processing status and strategy of hydrological information

随着水文行业现代化技术、设备等不断的完善和改进,逐渐形成了集水位、流量以及降水等于一体的水文监测系统,为水文水情信息大数据化的实现打下基础。本文主要对水文水情信息以及与大数据处理之间的关系进行概述,指出当前水文水情信息大数据处理的现状,并结合水文水情信息大数据处理存在的问题提出对应的策略,希望为水文相关工作提供理论依据。

With the continuous improvement of modern technology and equipment in the hydrological industry,a hydrological monitoring system integrating water level,flow and precipitation has gradually formed,which lays a foundation for the realization of big data of hydrological information.This paper mainly summarizes the relationship between hydrological information and big data processing,points out the current situation of hydrological information big data processing,and puts forward corresponding strategies combined with the problems existing in hydrological information big data processing,hoping to provide theoretical basis for hydrological related work.