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Analysis of ammonium and phosphates concentration time series in river water
Author(s) -
I. Yu. Drozdov,
А. В. Алексахин,
Yu.V. Aleksakhina,
D A Petrusevich
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/684/1/012021
Subject(s) - autoregressive integrated moving average , ammonium , series (stratigraphy) , environmental science , time series , hydrology (agriculture) , phosphate , pollution , mathematics , statistics , chemistry , geology , paleontology , ecology , geotechnical engineering , organic chemistry , biology
The Ammonium prediction in river water and the Phosphate prediction in river water datasets (provided by the Ukrainian government) have been handled. The ARIMA (p, d, q) model of low order (p 4 or q>4) have been constructed to describe behaviour of concentration time series at different river stations. Orders and coefficients in the first case are obtained via information criteria minimization. In the second case the ACF and PACF functions analysis is used. The ArDL(p, q) models are used to investigate correlation between concentrations of ammonium and phosphates at different river stations. Dependence of these parameters at the target water station and at other stations is confirmed with statistical tests. Conclusions about water pollution are made.

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