Evaluation of surface water quality by using Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) method and discriminant analysis method: a case study Coruh River Basin

2018 ◽  
Vol 190 (9) ◽  
Author(s):  
Ayla Bilgin
Keyword(s):  
Water Quality ◽  
Quality Index ◽  
Surface Water Quality ◽  
Analysis Method ◽  
Canadian Council ◽  
Çoruh River ◽  
Çoruh River Basin ◽  
Ccme Wqi ◽  
Council Of Ministers

scholarly journals Estimation of Tap Water Quality in Babylon Governorate /Iraq, (2017) in Accordance with CCME

2018 ◽  
Vol 7 (4.20) ◽  
pp. 477
Author(s):  
Zahraa Ali Hammood ◽  
Elaf Jassim Mahan ◽  
Halah Kadhim Tayyeh
Keyword(s):  
Water Quality ◽  
Quality Index ◽  
Tap Water ◽  
Quality Of Water ◽  
Study Interval ◽  
Canadian Council ◽  
Tap Water Quality ◽  
Ccme Wqi ◽  
Council Of Ministers

This research included evaluation quality of water by utilizing Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) by analyzing many chemical and physical properties of tap water (inside houses) for five regions (AL Musayab, AL Kasim, AL kifil, AL Mahawil and Hilla Center) in Babylon Governorate, Iraq. The properties included (PH, temperature, Ec, Hardness, turbidity, T.D.S, Ca, So4, Mg) through three months (January, February, and March) / 2017. The evaluated amounts of CCME WQI proved that the quality of water round five regions were good through study interval and calculated amounts of properties were in Iraqi standards of drinking water (No. 417,2001) except Ca and turbidity.   

scholarly journals Water quality assessment of Rawanduz River and Gali Ali Beg stream by applied CCME WQI with survey aquatic insects (Ephemeroptera)

2019 ◽  
pp. 2550-2560
Author(s):  
Nihal Suhail Hanna ◽  
Yahya Ahmed Shekha ◽  
Luay Abdul-Qader Ali
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Aquatic Insects ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Canadian Council ◽  
Ccme Wqi ◽  
Council Of Ministers ◽  
First Time ◽  
Eleven Species

The population of Ephemeroptera was studied in three selected stations of Rawanduz River (Gali Ali Beg water fall, Rawanduz River and after the junction of these two waters) during the three seasons of spring, summer and autumn in 2016. In addition,sixteen physicochemical parameters (pH, EC, turbidity, DO, BOD5, NO3, TDN, TDP, HCO3-, Hardness, Ca2+, Mg2+, Na+, K+, Cl-, SO42-, Na% and SAR) of water in these stations were estimated and used to calculate the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI). Eleven species of aquatic insects were identified,which belong to four families of the order Ephemeroptera. Three of the studied species are described for the first time. According to water quality index, the water was ranked as poor for drinking and marginal for irrigation purposes.

Assessment of the water quality of the Seybouse River (north-east Algeria) using the CCME WQI model

2015 ◽  
Vol 15 (4) ◽  
pp. 793-801 ◽  
Author(s):  
Lamia Hachemi Rachedi ◽  
Hocine Amarchi
Keyword(s):  
Water Quality ◽  
Surface Water Quality ◽  
Water Index ◽  
North East ◽  
Physico Chemical ◽  
Lack Of Control ◽  
Canadian Council ◽  
Ccme Wqi ◽  
Council Of Ministers

This paper aims to assess the surface water quality of the Seybouse River using a model of the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI). The study area is located in the basin of the lower Seybouse River, north-east Algeria. The method involved the calculation of the WQI, based on the measurement of bacteriological and physico-chemical parameters. Water samples were collected from 13 sampling stations; observing the river and its most important tributary. The analysis of these samples showed that the water index of the river ranked as poor. The degradation of water quality of the river is mainly due to the lack of control over discharged materials and lack of water treatment.

scholarly journals Water quality index and spatio-temporal perspective of a large Brazilian water reservoir

2020 ◽  
Author(s):  
Karla Lorrane de Oliveira ◽  
Ramatisa Ladeia Ramos ◽  
Sílvia Corrêa Oliveira ◽  
Cristiano Christofaro
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Reservoir ◽  
Material Transport ◽  
Reservoir Water ◽  
Canadian Council ◽  
Spatio Temporal ◽  
Ccme Wqi

Abstract The water spatio-temporal variability of the Irapé Hydroelectric Power Plant reservoir and its main tributaries was evaluated by analysing the temporal trend of the main parameters and applying the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), considering data from 2008 to 2018. This reservoir is in Minas Gerais, Brazil, covering an area of approximately 142 km2, across seven municipalities. The dissolved iron (DFe) presented the highest percentage of standard violations (31.7% to 80.5%), with most frequencies being verified in the reservoir tributaries. The Mann–Kendall test indicated that the monitoring stations showed an increasing trend of 78.5% N–NH4+ and 64.1% DFe. During the evaluated period, the reservoir waters were classified as excellent (1.2%), good (61.3%), acceptable (29.5%), and poor (8.0%) according to the WQI for the proposed use. The poorest quality classes were more frequent in the tributaries, especially in the year 2009. The WQI seasonal assessment indicated a worsening during the rainy period in 57% of the stations, as a result of external material transport to the water bodies. The CCME WQI, in conjunction with temporal statistical analysis, contributed to the monitoring data interpretation, generating important information for reservoir water quality management.

scholarly journals Evaluation of the performance of multiple water quality loading index systems for Sapgyo River / by Faizul Hasan.

2021 ◽  
Author(s):  
Faizul Hasan
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Quality Management System ◽  
Water Quality Management ◽  
Data Set ◽  
Study Results ◽  
Canadian Council ◽  
Using Data ◽  
Council Of Ministers

To enhance the sustainability of [the] water-quality-management system, the modeling results of simulated pollutants are needed to translate into an understandable single unit water quality index to help decision-makers. QUAL2E model is helpful in translating the results of simulated pollutants into a single water quality rating unit termed as "QUAL2E water quality loading index (QUAL2I)". This approach is adopted to evaluate the performance of National Sanitation Foundation’s Water Quality Index (NSFWQI) and Canadian Council of Ministers of the Environment’s Water Quality Index (CCMEWQI) using data set of Sapgyo River. CCMEWQI results are found better, especially for meeting the desired quality objectives. Additionally, a decision-making process has been suggested based on better found QWQLI result to maintain the whole river channel at acceptable water quality standards. The study results imply that further study should be carried out using [a] minimum [of] four variables, each having at least four test samples to compute QWQLI using CCMEWQI approach.

Application of Multivariate Statistical Methods and Water Quality Index for the Evaluation of Surface Water Quality in the Cunas River Basin, Peru

2021 ◽  
Vol 18 (4) ◽  
pp. 19-27
Author(s):  
Henry Dominguez Franco ◽  
María Custodio ◽  
Richard Peñaloza ◽  
Heidi De la Cruz
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Statistical Methods ◽  
River Basin ◽  
Water Quality Index ◽  
Quality Index ◽  
Surface Water Quality ◽  
Multivariate Statistical Methods ◽  
Multivariate Statistical ◽  
Ccme Wqi

Watershed management requires information that allows the intervention of possible sources that affect aquatic systems. Surface water quality in the Cunas river basin (Peru) was evaluated using multivariate statistical methods and the CCME-WQI water quality index. Twenty-seven sampling sites were established in the Cunas River and nine sites in the tributary river. Water samples were collected in two contrasting climatic seasons and the CCME-WQI was determined based on physicochemical and bacteriological parameters. The PCA generated three PC with a cumulative explained variation of 78.28 %. The generalised linear model showed strong significant positive relationships (p < 0.001) of E. coli with Fe, nitrate, Cu and TDS, and a strong significant negative relationship (p < 0.001) with pH. Overall, the CCME-WQI showed the water bodies in the upper reaches of the Cunas River as good water quality (87.07), in the middle reaches as favourable water quality (67.65) and in the lower reaches as poor water quality (34.86). In the tributary, the CCME-WQI showed the water bodies as having good water quality (82.34).

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