scholarly journals On the Prediction Method and Conservation Measures of Water Quality in Dam Reservoirs

1985 ◽  
Vol 29 ◽  
pp. 365-370
Keyword(s):  
Water Quality ◽  
Prediction Method ◽  
Conservation Measures ◽  
Dam Reservoirs

scholarly journals A study on prediction method for ozone dosage and residual ozone concentration in advanced ozone water treatment

2017 ◽  
Vol 12 (1) ◽  
pp. 87-96 ◽  
Author(s):  
J. S. Hyung ◽  
K. B. Kim ◽  
M. C. Kim ◽  
I. S. Lee ◽  
J. Y. Koo
Keyword(s):  
Water Quality ◽  
Hydrogen Peroxide ◽  
Water Treatment ◽  
Environmental Factors ◽  
Real Time ◽  
Ozone Concentration ◽  
Prediction Method ◽  
Optimum Amount ◽  
Factors Affecting ◽  
Water Treatment Plants

Ozone dosage in most water treatment plants is operated by determining the ozone concentration with the experience of the operation. In this case, it is not economical. This study selected the factors affecting residual ozone concentration and attempted to estimate the optimum amount of hydrogen peroxide dosage for the control of the residual ozone concentration by developing a model for the prediction of the residual ozone concentration. The prediction formulas developed in this study can quickly respond to the environment of water quality and surrounding environmental factors, which change in real time, so it is judged that they could be used for the operation of the optimum ozone process, and the control of ozone dosage could be used as a new method in controlling the concentration of ozone dosage and the concentration of residual ozone.

scholarly journals Multi-Faceted Environmental Analysis to Improve the Quality of Anthropogenic Water Reservoirs (Paprocany Reservoir Case Study)

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2626 ◽  
Author(s):  
Damian Absalon ◽  
Magdalena Matysik ◽  
Andrzej Woźnica ◽  
Bartosz Łozowski ◽  
Wanda Jarosz ◽  
...  
Keyword(s):  
Water Quality ◽  
Global Warming ◽  
Urban Areas ◽  
Saline Water ◽  
Good Condition ◽  
Treatment Plant ◽  
Biogenic Elements ◽  
Reservoir Water ◽  
Dam Reservoirs ◽  
Kjeldahl Nitrogen

Maintaining good condition of dam reservoirs in urban areas seems increasingly important due to their valuable role in mitigating the effects of global warming. The aim of this study is to analyze possibilities to improve water quality and ecosystem condition of the Paprocany dam reservoir (highly urbanized area of southern Poland) using current data of the water parameters, historical sources, and DPSIR (Driver–Pressure–State–Impact–Response) and 3D modeling concerning human activity and the global warming effects. In its history Paprocany reservoir overcame numerous hydrotechnical changes influencing its present functioning. Also, its current state is significantly influenced by saline water from the coal mine (5 g L−1 of chlorides and sulphates) and biogenic elements in recreational area (about 70 mg L−1 of chlorate and to 1.9 mg L−1 Kjeldahl nitrogen) and in sediments (222.66 Mg of Kjeldahl nitrogen, 45.65 Mg of P, and 1.03 Mg of assimilable phosphorus). Concluding, the best solutions to improve the Paprocany reservoir water quality comprise: increasing alimentation with water and shortening the water exchange time, restoration of the 19th century water treatment plant, and wetlands and reed bed area revitalization. The study also proved the applicability of mathematical models in planning of the actions and anticipating their efficiency.

Prediction of Water Quality Using Fuzzy Logic

2014 ◽  
Vol 955-959 ◽  
pp. 3310-3313
Author(s):  
Qiao Ling Du ◽  
Zeng Hua Ren ◽  
Zhen Ze Liu ◽  
Yi Ding Wang
Keyword(s):  
Water Quality ◽  
Fuzzy Logic ◽  
Historical Data ◽  
Prediction Method ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Wireless Sensor ◽  
Attractive Alternative ◽  
Quality Level ◽  
Water Quality Status

In this paper a fuzzy logic prediction method is proposed to assess water quality status of a reservoir in northeast China through wireless sensor networks. This model was used to analyze the historical data that were collected monthly by local monitoring stations and predict water quality level. Six water quality parameters of BOD5, COD, fluoride, ammonia, total phosphorus (TP), and total nitrogen (TN) were monitored from 2011 to 2012. This result indicated that the methodology adopted in this study was basically an attractive alternative, offering a relatively fast algorithm to predict the water quality parameters.

A Chaotic Prediction Method to Time Series Data

2010 ◽  
Vol 113-116 ◽  
pp. 1367-1370 ◽  
Author(s):  
Bin Sheng Liu ◽  
Ying Wang ◽  
Xue Ping Hu
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Time Series ◽  
Drinking Water ◽  
Time Series Data ◽  
Prediction Method ◽  
Drinking Water Quality ◽  
Series Data ◽  
Gray Model ◽  
Forecast Method

There are many ways to predict drinking water quality such as neural network, gray model, ARIMA. But the prediction precise is need to improve. This paper proposes a new forecast method according the characteristic of drinking water quality and the evidence showed that the prediction is effectively. So it is able to being used in actual prediction.

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