scholarly journals Effect of Ota Industrial Estate effluents on surface water quality of Oruku River, Ota, South Western Nigeria

2021 ◽  
Vol 25 (9) ◽  
pp. 1671-1675
Author(s):  
B.O. Ekute ◽  
E.U. Etim
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Industrial Effluents ◽  
Water Source ◽  
Organic Pollution ◽  
Mean Value ◽  
Average Value ◽  
Ph Range

The effect of industrial effluents on surface water quality of Oruku River was investigated in this study by analyzing selected water quality indicators such as pH, dissolved oxygen (DO) and total dissolved solids (TDS) were examined amongst other physicochemical parameters using standard methods. Results show that, average pH of the surface waters ranged from 5.53±0.31 to 6.23±0.45 with SR3 having the highest value. This indicates that all the water sources were alkaline. The effluents had an average pH range of 5.95 ± 1.12 to 6.40 ± 0.48. A comparison of these average pH values with effluent quality standards indicated that the effluents pH were below limit (6.5-9.5). The average BOD levels in surface water ranged from 1.94 ± 0.95 for SR-4 to 3.78 ± 1.61 for SR-1. DO average values in surface water was found to be higher at SR-1 with a mean value of 5.36 ± 1.55 and lower at SR-2 with a mean value of 3.05 ± 0.68. The mean COD value for surface water ranged from 108.66 ± 73.03mg/L to 232.81 ± 155.46mg/L. SR-3 had the highest COD average value of 232.81 ± 155.46mg/L while there was a reduction at SR-5 to an average value of 108.66 ± 73.03mg/L. The high COD value in the surface water indicates that gross-organic pollution of the water source may be from other sources such as agricultural and urban run-offs.

Multivariate statistical techniques for the assessment of surface water quality of Fuji River Basin, Japan

2006 ◽  
Vol 6 (5) ◽  
pp. 59-67 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Point Sources ◽  
Discharge Temperature

Different multivariate statistical techniques were used to evaluate temporal and spatial variations of surface water-quality of Fuji river basin using data sets of 8 years monitoring at 13 different sites. The hierarchical cluster analysis grouped thirteen sampling sites into three clusters i.e. relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics. The principal component analysis/factor analysis indicated that the parameters responsible for water quality variations are mainly related to discharge and temperature (natural), organic pollution (point sources) in LP areas; organic pollution (point sources) and nutrients (non point sources) in MP areas; and organic pollution and nutrients (point sources) in HP areas. The discriminant analysis showed that six water quality parameters (discharge, temperature, dissolved oxygen, biochemical oxygen demand, electrical conductivity and nitrate nitrogen) account for most of the expected temporal variations whereas seven water quality parameters (discharge, temperature, biochemical oxygen demand, pH, electrical conductivity, nitrate nitrogen and ammonical nitrogen) account for most of the expected spatial variations in surface water quality of Fuji river basin.

scholarly journals Using Principal Components Analysis and IDW Interpolation to Determine Spatial and Temporal Changes of Surface Water Quality of Xin’anjiang River in Huangshan, China

2020 ◽  
Vol 17 (8) ◽  
pp. 2942 ◽  
Author(s):  
Wenjie Yang ◽  
Yue Zhao ◽  
Dong Wang ◽  
Huihui Wu ◽  
Aijun Lin ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Safety Management ◽  
Temporal Distribution ◽  
Surface Water Quality ◽  
Principal Component ◽  
Organic Pollution ◽  
Sampling Point

This study was aimed at assessing the spatial and temporal distribution of surface water quality variables of the Xin’anjiang River (Huangshan). For this purpose, 960 water samples were collected monthly along the Xin’anjiang River from 2008 to 2017. Twenty-four water quality indicators, according to the environmental quality standards for surface water (GB 3838-2002), were detected to evaluate the water quality of the Xin’anjiang River over the past 10 years. Principal component analysis (PCA) was used to comprehensively evaluate the water quality across eight monitoring stations and analyze the sources of water pollution. The results showed that all samples could be analyzed by three main components, which accounted for 87.24% of the total variance. PCA technology identified important water quality parameters and revealed that nutrient pollution and organic pollution are major latent factors which influence the water quality of Xin’anjiang River. It also showed that agricultural activities, erosion, domestic, and industrial discharges are fundamental causes of water pollution in the study area. It is of great significance for water quality safety management and pollution control of the Xin’anjiang River. Meanwhile, the inverse distance weighted (IDW) method was used to interpolate the PCA comprehensive score. Based on this, the temporal and spatial structure and changing characteristics of water quality in the Xin’anjiang River were analyzed. We found that the overall water quality of Xin’anjiang River (Huangshan) was stable from 2008 to 2017, but the pollution of the Pukou sampling point was of great concern. The results of IDW helped us to identify key areas requiring control in the Xin’anjiang River, which pointed the way for further delicacy management of the river. This study proved that the combination of PCA and IDW interpolation is an effective tool for determining surface water quality. It was of great significance for the control of water pollution in Xin’anjiang River and the reduction of eutrophication pressure in Thousand Island Lake.

scholarly journals Impact of the Effluents of Textile Dyeing Industries on the Surface Water Quality inside D.N.D Embankment, Narayanganj

1970 ◽  
Vol 44 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Mahfuza S Sultana ◽  
M Shahidul Islam ◽  
Ratnajit Saha ◽  
MA Al-Mansur
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Industrial Effluents ◽  
Industrial Area ◽  
Human Consumption ◽  
Water Parameters ◽  
Textile Dyeing ◽  
The Impact

The study was carried out in order to assess the impact of the various pollutants of textile dyeing effluents on the surface water quality of the industrial area inside Dhaka-Narayanganj-Demra (D.N.D) embankment, Narayanganj. Physicochemical parameters such as TSS, TDS, DO, pH, EC, Turbidity, BOD, COD, anionic parameters such as F-, Cl-, NO2 -, NO3 -, SO4 - and PO4 3- and heavy metals such as Pb, Zn, Cd and Cu of the samples were investigated by using various techniques. The results showed that, textile dyeing industries inside D.N.D embankment area discharges effluents composed of various physicochemical and anionic pollutants at considerably higher level compared to pollution limit. Further, the surface water of the D.N.D channel, ponds and lakes around the studied textile dyeing industries also contain various physicochemical and anionic pollutants at intolerable limit. A significant correlation was also observed among some important water parameters of the effluents and surface water. The above findings point out that the surface water around the studied textile dyeing industries is highly polluted by the industrial activities of the D.N.D. embankment area and not good for human consumption. Key words: Industrial effluents, D.N.D embankment, Surface water quality, Environmental impact.      doi: 10.3329/bjsir.v44i1.2715 Bangladesh J. Sci. Ind. Res. 44(1), 65-80, 2009

scholarly journals Dynamics of changes in surface water quality indicators of the Western Bug River basin within Ukraine using GIS technologies

2019 ◽  
Vol 42 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Igor Gopchak ◽  
Tetiana Basiuk ◽  
Ihor Bialyk ◽  
Oleg Pinchuk ◽  
Ievgenii Gerasimov
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Environmental Assessment ◽  
Land Surface ◽  
Surface Water Quality ◽  
Ecological Condition ◽  
Toxic Substances ◽  
Ecological Index ◽  
Gis Technologies

Abstract The environmental assessment of the surface water quality of the Western Bug River has been made using the system of classification quality of land surface water of Ukraine in accordance with the approved methodology, which allows comparing water quality of separate areas of water objects of different regions. The calculation of the environmental assessment of water quality has been carried according to three blocks: block of salt composition, block of trophic and saprobic (ecological and sanitary) indicators and block of indicators of content of specific toxic substances. The results are presented in the form of a combined environmental assessment, based on the final conclusions of the three blocks and consists in calculating the integral ecological index. Comprehensive studies of changes in the water quality of the Western Bug River have been conducted within the territory of Ukraine for a long-term period. The water quality of the river on the final values of the integral indicators of the ecological condition corresponded mainly to 4nd category of the 3rd class – the water is “satisfactory” by condition and “little polluted” by degree of purity (except for points of observation that located within the Volyn region, where the water quality corresponded to 3rd category and the 2nd class. It is “good” by condition and “fairly clean” by the degree of purity). Visualization and part of the analysis are performed using GIS technologies in the software of the ArcGIS 10.3.

Impacts of pollutant loading, climate variability and site management on the surface water quality of a lowland raised bog, Thorne Moors, E. England, UK

2004 ◽  
Vol 19 (3) ◽  
pp. 413-422 ◽  
Author(s):  
Simon Bottrell ◽  
Jonathan Coulson ◽  
Michael Spence ◽  
Peter Roworth ◽  
Martin Novak ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Climate Variability ◽  
Surface Water Quality ◽  
Site Management ◽  
Raised Bog ◽  
Pollutant Loading
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