Box-Jenkins and exponential smoothing time series analysis of the monthly water quality in surface water in Tehran was conducted as a case study. Various univariate models were developed for each determinand. Most of the models were seasonal, indicating that the water quality determinands vary throughout the year. The models follow the same pattern of variations present in the data. This study shows the credibility of the models, therefore the models may be used for future design purposes. Key words: time series analysis, exponential smoothing model, diagnostic, identification, Box-Jenkins mode
Aim of this paper is to apply time series analysis methods to investigate water pollution in Ukraine...
Multivariate statistical techniques were applied for evaluation of temporal/ spatial variations and ...
A structural time series model is one which is set up in terms of components which have a direct in...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
Water pollution has become a growing threat to human society and natural ecosystems in the recent de...
The monitoring and prediction of water quality parameters are important tasks in the management of w...
The inadequate access to safe water can cause people’s health to suffer and resulting to mortality. ...
This work proposes a methodology for characterizing the time evolution of water quality time series ...
One part of water quality, total suspended solids (TSS), is a reliable indicator of other pollutants...
The monthly time series of the Total Suspended Solids (TSS) concentrations in Euphrates River at Nas...
Robust statistical tools were applied on the water quality datasets with the aim of determining the ...
ABSTRACT The water resources quality continuous monitoring is a complex activity. It generates exten...
Abstract In this study, 9 remaining water components of Madian River in the Baraftab were considered...
A structural time series model is one which is set up in terms of components which have a direct int...
The results of the time series analysis also indicate the effect the load variability can have on th...
Aim of this paper is to apply time series analysis methods to investigate water pollution in Ukraine...
Multivariate statistical techniques were applied for evaluation of temporal/ spatial variations and ...
A structural time series model is one which is set up in terms of components which have a direct in...
Three approaches to trend analysis of water quality time series are discussed: (1) seasonal model, w...
Water pollution has become a growing threat to human society and natural ecosystems in the recent de...
The monitoring and prediction of water quality parameters are important tasks in the management of w...
The inadequate access to safe water can cause people’s health to suffer and resulting to mortality. ...
This work proposes a methodology for characterizing the time evolution of water quality time series ...
One part of water quality, total suspended solids (TSS), is a reliable indicator of other pollutants...
The monthly time series of the Total Suspended Solids (TSS) concentrations in Euphrates River at Nas...
Robust statistical tools were applied on the water quality datasets with the aim of determining the ...
ABSTRACT The water resources quality continuous monitoring is a complex activity. It generates exten...
Abstract In this study, 9 remaining water components of Madian River in the Baraftab were considered...
A structural time series model is one which is set up in terms of components which have a direct int...
The results of the time series analysis also indicate the effect the load variability can have on th...
Aim of this paper is to apply time series analysis methods to investigate water pollution in Ukraine...
Multivariate statistical techniques were applied for evaluation of temporal/ spatial variations and ...
A structural time series model is one which is set up in terms of components which have a direct in...