Water quality analysis of reservoirs within Western Algeria catchment areas using water quality index CCME WQI

AbstractPelabuhan Tanjung Perak Surabaya merupakan pelabuhan terbesar di kawasan Indonesia bagian timur. PT PELINDO III melakukan pengembangan Arus Pelayaran Barat Surabaya (APBS). Akibatnya aktivitas sekitar APBS meningkat yang berpotensi menimbulkan pencemaran di perairan. Tujuan penelitian ini untuk menentukan kualitas air berdasarkan baku mutu biota laut dan indek kualitas air di sekitar APBS. Indeks kualitas air yang digunakan adalah Indeks Pencemaran (IP) dan National Sanitation Federation Water Quality Index (NSF WQI). Hasil penelitian menunjukkan bahwa perairan di sekitar APBS dan lokasi pembuangan material keruk mengalami penurunan kualitas air laut dengan beberapa parameter tidak memenuhi baku mutu yaitu TSS 30 mg/l (ST 1), kekeruhan 19 NTU (ST 1), nitrat (0,7 mg/l di ST1dan 0,5 mg/l di ST2) dan di semua titik sampling diperoleh kadar DO (3 mg/l), fosfat 0,02 – 0,6 mg/L dan kecerahan (0,55 - 1.70 m). Indeks kualitas air di sekitar APBS dan lokasi pembuangan material keruk dengan metode IP dihasilkan tercemar sedang (ST 1, S2 dan ST 4 ) dan tercemar ringan (ST 3, ST 5 dan ST 6). Nilai kualitas perairan berdasarkan NSF WQI diperoleh dua kategori yaitu baik ( ST 3, ST 4, ST 5) dan sedang (ST 1, ST 2 dan ST 6).Keywords: aktivitas sekitar APBS, kualitas air, indeks pencemaran, NSF WQI AbstrakTanjung Perak Surabaya is the biggest harbor in the Eastern part of Indonesia. PT Pelindo III implemented the development of the eastern fairway Surabaya (APBS). Consequently, the activities arround them increased. It had potential to cause water polllution. This study is aim to determine the water quality based on standart quality of marine biota and the index of water quality arround APBS. Index of water quality are pollution index (IP) and National Sanitation Federation Water Quality Index (NSF WQI). The result of the study showed that the water harbor arround APBS and the location of dreging material were decreasing in the term of the quaity of the saltwater . The quality of saltwater did not reach the standart quality, which was TSS 30 mg/l (ST 1), the turbidity of 19 NTU (ST 1), nitrate (0.7 mg / l in ST1dan 0.5 mg / l in ST2) and at all sampling points obtained DO concentration (3 mg / l), phosphate from 0.02 to 0.6 mg / L and brightness (from 0.55 to 1.70 m) .Index of water quality arround APBS and dregging material disposal site that was used IP method was medium polluted (ST 1, S2 and ST 4) and lightly polluted (ST 3, ST 5 and ST 6). Values of water quality by NSF WQI obtained two categories: good (ST 3, ST 4, ST 5) and medium (ST 1, ST 2 and ST 6).Kata kunci: the activities arround APBS, water qualiy, pollution index, NSF WQI

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Assessment of Cau River water quality assessment using a combination of water quality and pollution indices

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2020.122 ◽

2020 ◽

Vol 69 (2) ◽

pp. 160-172 ◽

Cited By ~ 5

Author(s):

Cao Truong Son ◽

Nguyen Thị Huong Giang ◽

Trieu Phuong Thao ◽

Nguyen Hai Nui ◽

Nguyen Thanh Lam ◽

...

Keyword(s):

Water Pollution ◽

Water Quality ◽

River Water ◽

Water Quality Index ◽

Quality Index ◽

Water Status ◽

Pollution Index ◽

River Water Quality ◽

Quality Analysis ◽

Pollution Indices

Abstract This research aims at using a combined water quality index (WQI) and pollution index (PI) to assess and characterize river water quality of Cau River which is one of the longest rivers in the north of Vietnam. Five different water quality and water pollution indices were used including the Water Quality Index (WQI), Comprehensive Pollution Index (CPI), Organic Pollution Index (OPI), Eutrophication Index (EI), and Trace Metal Pollution Index (TPI). The combined water pollution indices show more serious pollution towards the river downstream. In particular, CPI and OPI reveal a high risk of eutrophication. Cluster analysis was applied to classify water monitoring points into different quality groups in order to provide a better understanding of the water status in the river. This study indicates that a combined water quality analysis could be an option for decision making water use purposes while its single index shows the current situation of water quality.

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

Iraqi Journal of Science ◽

10.24996/ijs.2019.60.12.3 ◽

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.

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

Water Science & Technology Water Supply ◽

10.2166/ws.2020.374 ◽

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.

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Assessing the Effects of Al- Rasheed Electrical Power Plant on the Quality of Tigris River, Southern of Baghdad by Canadian Water Quality Index (CCME WQI)

Iraqi Journal of Science ◽

10.24996/ijs.2018.59.3a.2 ◽

2018 ◽

Vol 59 (3A) ◽

Cited By ~ 1

Keyword(s):

Water Quality ◽

Power Plant ◽

Water Quality Index ◽

Quality Index ◽

Electrical Power ◽

Tigris River ◽

Ccme Wqi ◽

Canadian Water Quality Index ◽

Electrical Power Plant

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

Asian Journal of Water Environment and Pollution ◽

10.3233/ajw210039 ◽

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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Evaluation of Groundwater Quality for Drinking Purpose using Different Water Quality Indices in Parts of Gautam Budh Nagar District, India

Asian Journal of Chemistry ◽

10.14233/ajchem.2020.22531 ◽

2020 ◽

Vol 32 (5) ◽

pp. 1128-1138

Author(s):

Meenu Agarwal ◽

Meenakshi Singh ◽

Jakir Hussain

Keyword(s):

Water Quality ◽

Groundwater Quality ◽

Water Quality Index ◽

Quality Index ◽

Pure Water ◽

Groundwater Samples ◽

Canadian Council ◽

Ccme Wqi ◽

Drinking Purpose

Water Quality Index (WQI) is a mathematical value for quality of water, which includes the concentration of a number of constituents present in it. Chemical and biological measures of water quality are used to represent water quality index. Measured value of the selected parameters, ideal concentration of that parameter in pure water and standard value given by different quality control organizations are used to determine this number. In the present study, three indexing methods; Weighted Arithmetic Water Quality Index (WAWQI), Groundwater Quality Index (GWQI) and Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) were used to calculate water quality index of groundwater. A hydrochemical analysis of 22 groundwater samples was conducted to evaluate the quality of groundwater for drinking purpose. Ten hydrochemical parameters were selected for computing WQIs of groundwater samples and BIS standards were used for standardization. Analytical results show that 100 % of samples have magnesium and total hardness above the acceptable limit of BIS (10500, 2012). The mean concentration of nitrate was found 196.96 ± 9.3.18 mg/L. Spatial distribution of various parameters shows that south-east part of study area has contaminated groundwater. The results of water quality index shows that drinking water quality of 82 % (WAWQI), 95 % (GWQI) and 77 % (CCME WQI) of groundwater samples were poor to unsuitable type. Water quality index map also reveals that groundwater of village Badhpura, Dhoom Manikpur, Dairy Maccha, Khera Dharampura, Bisrakh road, Duryai and Dujana of district Gautam Budh Nagar of India, was not fit for human consumption.

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