2021
DOI: 10.1007/s10668-020-01215-w
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Index methods for the assessment of surface water quality: the case study of Oued Fodda dam, in the Northwest of Algeria

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Cited by 8 publications
(4 citation statements)
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“…The outcomes indicated that the WQI is in the range of 50-100, which shows the proper quality of water for irrigation. 51 In other studies, other characteristics such as pH, water temperature, hardness, TDS, electrical conductivity, alkalinity, HCO 3 -, CO 3 2-, Ca 2+ , Mg 2+ , Na + , Cl -, and SO 4 2were calculated to determine the rate of corrosion and fouling. 44,52 In addition to these variables, García-Ávila et al measured other factors such as sulfate, phosphate, and nitrite to predict and control corrosion.…”
Section: Previous Studiesmentioning
confidence: 99%
“…The outcomes indicated that the WQI is in the range of 50-100, which shows the proper quality of water for irrigation. 51 In other studies, other characteristics such as pH, water temperature, hardness, TDS, electrical conductivity, alkalinity, HCO 3 -, CO 3 2-, Ca 2+ , Mg 2+ , Na + , Cl -, and SO 4 2were calculated to determine the rate of corrosion and fouling. 44,52 In addition to these variables, García-Ávila et al measured other factors such as sulfate, phosphate, and nitrite to predict and control corrosion.…”
Section: Previous Studiesmentioning
confidence: 99%
“…Besides, the organic water pollution index (OWPI) was calculated through eight parameters based on the calculation of Bouderbala (2021) [10]. The arithmetic mean of eight parameters gives the level of organic water pollution, including pH, DO, BOD, COD, N-NH 4 + , N-NO 2 -, N-NO 3 -, P-PO 4 3-.…”
Section: A Water Sampling and Analysismentioning
confidence: 99%
“…The arithmetic mean of eight parameters gives the level of organic water pollution, including pH, DO, BOD, COD, N-NH 4 + , N-NO 2 -, N-NO 3 -, P-PO 4 3-. The weights of the parameters are detailed in the study by Bouderbala (2021) [10].…”
Section: A Water Sampling and Analysismentioning
confidence: 99%
“…In Algeria, like most developing countries, the deterioration of surface water quality is of growing concern. Many studies have been conducted to define the problems of water quality degradation in lakes and dams, particularly at spatiotemporal scales (BOUGUERNE ET AL., 2017; MEBARKIA ET AL., 2017; BAHROUN & CHAIB, 2017;HAMIL ET AL., 2018;BIDHURI & KHAN, 2020;BOUDERBALA, 2021). Among the methods used for the determination of accurate information concerning hydrochemical water quality, we mention the use of multivariate statistical techniques, such as Cluster Analysis (CA) and Principal Component Analysis (PCA), which have been applied to characterize water quality and to determine the temporal variation caused by external factors, and also helped to identify the possible factors that influence water quality (SHRESTHA & KAZAMA, 2007;GARIZI ET AL., 2011).…”
Section: Introductionmentioning
confidence: 99%