Open AccessSeepage forecast model based on time-series cubic exponential smoothing method
Author(s) -
Xufeng Wang,
Xushun Fang,
Jianfeng Jin,
Hongyan Bao,
Xiaoji Wang,
Chao Gao,
Hongxia Liu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/376/1/012009
Subject(s) - exponential smoothing , smoothing , exponential function , series (stratigraphy) , time series , computer science , mathematics , econometrics , statistics , geology , machine learning , mathematical analysis , paleontology
Seepage monitoring is a vital part of daily management of dams. However, the seepage data are non-linear which is hard for administrators to use. This paper uses time-series along with the cubic exponential smoothing method to analyse the past monitoring data and get a forecast model. As the data accumulate, the model evolve and form a more precise model. Two year’s seepage monitoring data are analysed of Xianlin Dam with this method and the result of the contrasted data turned out to be well simulated.