scholarly journals Chemometric analysis for river water quality assessment at the intake of drinking water treatment plants

2019 ◽  
Vol 667 ◽  
pp. 552-562 ◽  
Author(s):  
Stefan Platikanov ◽  
David Baquero ◽  
Susana González ◽  
Jordi Martín-Alonso ◽  
Miquel Paraira ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Quality Assessment ◽  
River Water ◽  
Drinking Water Treatment ◽  
Water Quality Assessment ◽  
River Water Quality ◽  
Chemometric Analysis ◽  
Water Treatment Plants

Research on raw water quality assessment oriented to drinking water treatment based on the SVM model

2015 ◽  
Vol 16 (3) ◽  
pp. 746-755 ◽  
Author(s):  
Dongsheng Wang
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Quality Assessment ◽  
Drinking Water Treatment ◽  
Water Quality Assessment ◽  
Assessment Method ◽  
Raw Water ◽  
Control Scheme ◽  
Raw Water Quality

Raw water quality variation has a great effect on drinking water treatment. To improve the adaptivity of drinking water treatment and stabilize the quality of treated water, a raw water quality assessment method, which is based upon the support vector machine (SVM), is developed in this study. Compared to existing raw water quality assessment methods, the assessment method studied herein is oriented to drinking water treatment and can directly be used for the control of the chemical (alum and ozone) dosing process. To this end, based upon the productive experiences and the analysis of the operating data of water supply, a raw water quality assessment standard oriented to drinking water treatment is proposed. A raw water quality model is set up to assess the raw water quality based upon the SVM technique. Based upon the raw water quality assessment results, a feedforward–feedback control scheme has been designed for the chemical dosing process control of drinking water treatment. Thus, the chemical dosage can be adjusted in time to cope with raw water quality variations and hence, the quality of the treated water is stabilized. Experimental results demonstrate the improved effectiveness of the proposed method of raw water quality assessment and the feedforward–feedback control scheme.

scholarly journals Water Quality Assessment Klang River Water Treatment Plants

2018 ◽  
Vol 7 (4.35) ◽  
pp. 639
Author(s):  
HA Mohiyaden ◽  
LM Sidek ◽  
G Hayder ◽  
MN Noh
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Quality Assessment ◽  
River Water ◽  
Treatment Plant ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Quality Standard ◽  
Pollutant Removal ◽  
Unit Process

The quality of Klang river water is deteriorating dramatically since it is in urban places every day and become one of the major problems.  Therefore, the Malaysian government had initiated one river cleaning project named River of Life (ROL) project. This project is for rehabilitating and restoring the Klang river. A series of river water treatment plant (RWTP)s have been operated in Klang river catchment since 2014. Six RWTPs station has been monitored up to eight stations until presents. Eight parameters consisting of physio-chemical types and biological types have been recorded. RWTP effluent discharges are targeted to achieve Malaysia Interim National Water Quality Standard (INWQS) under Class II B. Since previous RWTP performance only emphasized on local river pollutants and certain conditions, this paper will investigate the effectiveness of full-scale RWTP unit process for river condition. Water quality assessment are involved which are consist of effluent water quality monitoring and pollutant removal efficiency. Most of the major pollutants able to be reduced by more than 50% reduction. Although BOD and AN still not able to achieve standard range gazetted by INWQS Class IIB, there is an improvement of river water quality at Klang River by using IFAS technology adopted in the RWTP system.

scholarly journals River water quality assessment using environmentric techniques: case study of Jakara River Basin

2013 ◽  
Vol 20 (8) ◽  
pp. 5630-5644 ◽  
Author(s):  
Adamu Mustapha ◽  
Ahmad Zaharin Aris ◽  
Hafizan Juahir ◽  
Mohammad Firuz Ramli ◽  
Nura Umar Kura
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
River Water ◽  
River Basin ◽  
Water Quality Assessment ◽  
River Water Quality

scholarly journals Long-Term Drinking Water Quality Assessment Using Index and Multivariate Statistical Analysis for Three Water Treatment Plants of Erbil City, Iraq

2018 ◽  
Vol 2 (2) ◽  
pp. 39-48
Author(s):  
Hayder Mohammed Issa ◽  
Reem Ahmed Alrwai
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Water Supply ◽  
Drinking Water Treatment ◽  
Drinking Water Quality ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Water Treatment Plants

Safe source of drinking water is always considered as an essential factor in water supply for cities and urban areas. As a part of this issue, drinking water quality is monitored via a useful scheme: developing drinking water quality index DWQI. DWQI is preferably used as it summarizes the whole physicochemical and bacteriological properties of a drinking water sample into a single and simple term. In this study, an evaluation was made for three drinking water treatment plants DWTPs named: Efraz 1, Efraz 2 and Efraz 3 that supply drinking water to Erbil City. The assessment was made by testing thirteen physicochemical and two bacteriological parameters during a long period of (2003 – 2017). It has been found that turbidity, electrical conductivity EC, total alkalinity, total hardness, total coliform and fecal coliform have more influence on drinking water quality. DWQI results showed that the quality of drinking water supplied by the three DWTPs in Erbil City fallen within good level. Except various occasional periods where the quality was varying from good to fair. The quality of the drinking water supply never reached the level of marginal or poor over the time investigated. The applied hierarchical clustering analysis HCA classifies the drinking water dataset into three major clusters, reflecting diverse sources of the physicochemical and bacteriological parameter: natural, agriculture and urban discharges.

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