Stochastic time series analysis of hydrology data for water resources

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Sathish, S.^1 ; Khadar Babu, S.K.^1

Department of Mathematics, School of Advanced Sciences, VIT University, Vellore

632014, India^1

关键词: Flood flow;    Hydrology data;    Hydrology time series;    Recent trends;    Seasonal periods;    Stochastic time series;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042140/pdf
DOI  :  10.1088/1757-899X/263/4/042140

来源: IOP

【 摘 要 】

The prediction to current publication of stochastic time series analysis in hydrology and seasonal stage. The different statistical tests for predicting the hydrology time series on Thomas-Fiering model. The hydrology time series of flood flow have accept a great deal of consideration worldwide. The concentration of stochastic process areas of time series analysis method are expanding with develop concerns about seasonal periods and global warming. The recent trend by the researchers for testing seasonal periods in the hydrologic flowseries using stochastic process on Thomas-Fiering model. The present article proposed to predict the seasonal periods in hydrology using Thomas-Fiering model.