Time series trend analysis and prediction of water quality in a ...

Water quality was influenced by rainstorm and non-point source pollution. Our predictions showed that TN and TP concentrations in C23 canal were higher than ...

Time series trend analysis and prediction of water quality in a managed canal system, Florida (USA). L Wan1,3 and Y C Li2. 1Xuzhou Institute of Technology, No ...

(PDF) Time series trend analysis and prediction of water quality in a ...

Water quality was influenced by rainstorm and non-point source pollution. Our predictions showed that TN and TP concentrations in C23 canal were higher than ...

Time Series Analysis and Forecasting of Water Quality Parameters ...

and their impact on water quality is gained. Time series methods are applied to forecast future trends and values of the water quality parameters. This ...

Trend Analysis and Prediction on Water - ProQuest

This study intensively examined the monthly water consumption forecasting performance using advanced time series (ARIMA) models. Thus, this study intends to ...

Time series and machine learning to forecast the water quality from ...

The time series and machine learning are excellent approaches for estimating satellite water quality parameters and forecasting their trends in the future.

Time Series Analysis and Forecasting of Water Quality Parameters ...

Time series methods are applied to forecast future trends and values of the water quality parameters. This allows for predicting potential changes in water ...

Statistical and trend analysis of water quality and quantity data for ...

In this paper a) the time series of monthly values of water quality parameters and the discharge were analysed using statistical methods, b) the existence of ...

Time series trend modelling and forecasting of selected water ...

The simulated predicted models and trends could serve as a measure to forecast selected water quality parameters' occurrence and a likelihood ...

Models for forecasting water demand using time series analysis

The results showed that the seasonal ARIMA method proved to be more adequate to predict water consumption in four out of five categories, with ...

Time Series Analysis in the Prediction of Water Quality - Atlantis Press

evolution trend of the quality of the monitoring waters can timely take appropriate measures such as water quality management, disaster warning. [2] . In ...

Time Series Analysis in the Prediction of Water Quality - ResearchGate

capacity, but also one of the important indicators to evaluate the degree of water pollution. ... as a research sample. ... seasonal trend and an intercepted graph, ...

Water Quality Analysis and Prediction Using Hybrid Time Series and ...

Accurate water quality series predictions for Chagan Lake are essential to the maintenance of water environment security. In the present study, a hybrid ...

Trend Analysis and ARIMA Models for Water Quality Parameters of ...

Statistical trend analysis and time-series prediction model are widely used in water quality regulation. Using the Mann-Kendall test, trend ...

Ground Water Quality Management Using Time Series Prediction ...

The research employs R-console and Eviews software for data analysis. Results reveal discernible upward and downward trends in the pH and TDS ...

Trend detection in water quality data using time series seasonal ...

The study proposed a systematic methodology to make use of a relatively long series of water quality data. It utilized two techniques in trend ...

205-31: Modeling Water Quality Trend in Long Term Time Series

The success of such trend analysis depends largely on the initial exploratory analysis of the data and in identifying the appropriate model orders to predict ...

Time Series Modeling of Water Quality Parameters - Academia.edu

Statistical trend analysis and time-series prediction model are widely used in water quality regulation. Using the Mann-Kendall test, trend analysis was ...

Deep Learning Methods for Predicting Tap-Water Quality Time ...

The time series cross-validation method is an iterative process involving training with three days of data and then predicting water quality for the following ...

Application of hybrid improved temporal convolution network model ...

Time series prediction of river water quality is an important method to grasp the changes of river water quality and protect the river water ...