基于水文大数据挖掘的雨型径流分析

Rainfall runoff analysis based on the hydrological big data mining

准确有效的洪水预报对于防治洪涝灾害具有十分重要的现实意义。本文结合流域实际情况与数据挖掘技术,利用江西省大汾水流域水文数据,对洪水模式给出了自动化识别定义。在此基础上,分别提出了基于平均雨量的水位预测方法和基于逐点雨量的水位预测方法,并进行实际数据预测分析。本文水位预测方法是数据水文领域的一项探索性研究,具有重要理论价值和现实意义。

Accurate and effective flood forecasting is of great practical significance for controlling the flood disaster.Combined with the basin reality and the data mining technology,this paper gives the definition of automatic identification of flood mode by using the hydrological data of Dafen river basin in Jiangxi province.On this basis,the water level prediction methods based on average rainfall and point-by-point rainfall are proposed respectively to carry out the actual data prediction analysis.It is an exploratory research in the field of data hydrology,which has both important theoretical value and practical significance.