scholarly journals Early warning of changing drinking water quality by trend analysis

2016 ◽  
Vol 14 (3) ◽  
pp. 433-442 ◽  
Author(s):  
Jani Tomperi ◽  
Esko Juuso ◽  
Kauko Leiviskä
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Trend Analysis ◽  
Warning Signs ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Water Treatment Process ◽  
Health Related ◽  
And Control

Monitoring and control of water treatment plants play an essential role in ensuring high quality drinking water and avoiding health-related problems or economic losses. The most common quality variables, which can be used also for assessing the efficiency of the water treatment process, are turbidity and residual levels of coagulation and disinfection chemicals. In the present study, the trend indices are developed from scaled measurements to detect warning signs of changes in the quality variables of drinking water and some operating condition variables that strongly affect water quality. The scaling is based on monotonically increasing nonlinear functions, which are generated with generalized norms and moments. Triangular episodes are classified with the trend index and its derivative. Deviation indices are used to assess the severity of situations. The study shows the potential of the described trend analysis as a predictive monitoring tool, as it provides an advantage over the traditional manual inspection of variables by detecting changes in water quality and giving early warnings.

scholarly journals FAKTOR –FAKTOR YANG MEMPENGARUHI KUALITAS AIR MINUM PADA DEPOT AIR MINUM DI KOTA BENGKULU TAHUN 2012

2018 ◽  
Vol 5 (1) ◽  
pp. 01-06
Author(s):  
Jubaidi Jubaidi
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Drinking Water Treatment ◽  
Drinking Water Quality ◽  
Primary Data ◽  
Dominant Factor ◽  
Cross Sectional ◽  
Water Treatment Process ◽  
The Government

Drinking water quality is one of the basic needs of society. In fulfilling its needs, the community has sought a way to buy a gallon of drinking water refill at a cheap price. The purpose of this study was to determine the factors that affect drinking water quality in drinking water depots in the city of Bengkulu. This study is a survey research with cross sectional approach, a sample size in this study as many as 163 samples. Primary data processed by the regression test followed by logistic regression test.The results showed that the dominant factor is the effect of drinking water treatment process with a value of p = 0.000 and Exp. B = 4.454.Recommended for drinking water depots entrepreneurs in drinking water treatment processes to use micro filters with a diameter smaller than viruses, provide training for employees or managers of drinking water and perform maintenance of drinking water processing components on time and as well as the guidance and supervision on a regular basis by the government.

Drinking water quality and treatment: the use of artificial neural networks

2001 ◽  
Vol 28 (S1) ◽  
pp. 26-35 ◽  
Author(s):  
C W Baxter ◽  
Q Zhang ◽  
S J Stanley ◽  
R Shariff ◽  
R -RT Tupas ◽  
...  
Keyword(s):  
Neural Networks ◽  
Water Quality ◽  
Drinking Water ◽  
Artificial Neural Networks ◽  
Water Treatment ◽  
Process Control ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Water Treatment Process ◽  
Artificial Neural

To improve drinking water quality while reducing operating costs, many drinking water utilities are investing in advanced process control and automation technologies. The use of artificial intelligence technologies, specifically artificial neural networks, is increasing in the drinking water treatment industry as they allow for the development of robust nonlinear models of complex unit processes. This paper highlights the utility of artificial neural networks in water quality modelling as well as drinking water treatment process modelling and control through the presentation of several case studies at two large-scale water treatment plants in Edmonton, Alberta.Key words: artificial neural networks, water treatment process control, water treatment modelling.

Comparison of drinking water treatment process streams for optimal bacteriological water quality

2012 ◽  
Vol 46 (12) ◽  
pp. 3934-3942 ◽  
Author(s):  
Lionel Ho ◽  
Kalan Braun ◽  
Rolando Fabris ◽  
Daniel Hoefel ◽  
Jim Morran ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Water Treatment Process

Study on the Micro-Polluted Water Treatment by GAC-UF

2010 ◽  
Vol 113-116 ◽  
pp. 2049-2052
Author(s):  
Jin Long Zuo
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Suspended Solids ◽  
Treatment Process ◽  
Drinking Water Treatment ◽  
Polluted Water ◽  
Total Removal ◽  
Water Treatment Process

Nowadays drinking water resource has been polluted, while the conventional treatment process cannot effectively remove polluted matters. In order to tackle this problem, the granular activated carbon (GAC) and ultrafiltration membrane (UF) were introduced into drinking water treatment process. The results revealed that when treat the micro-polluted water the effluent water quality of turbidity, permanganate index and color can reach 0.1NTU, 1.3mg/L-2.3mg/L and 5 degree respectively with GAC-UF process. And the total removal efficiency of turbidity, permanganate index and color can reach 98%-99%, 70%~75% and 60% respectively. The GAC can effectively remove organic matters, while the UF membrane can effectively remove suspended solids, colloids. The GAC-UF combined process can get a good water quality when treat the micro-polluted water.

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