scholarly journals Heavy Metals Assessment of Abattoir Effluent on Surface Water Quality of River Katsina-Ala of Benue State, Nigeria

Author(s):  
Addy Jose Vershima ◽  
Kabough Jonathan Terkimbi ◽  
Azua Terese ◽  
Aliyu Ibrahim

Water samples of six sampling sites (two downstream, two abattoir sites and two upstream sites) were analyzed using standard methods to determined and assessed heavy metal content of abattoir effluent on surface water quality of River Katsina-Ala, Benue State, Nigeria for rainy and dry seasons. Rainy season heavy metals results were; Cr6+ (0.032+0.06mg/l); Mn2+ (0.16+0.034mg/l); Cu2+ (0.86 +0.46mg/l); Pb2+(0.006+0.002mg/;Cd2+(0.0023+0.004mg/l) and the dry season results were: Cr6+(0.028+0.007mg/l); Mn2+(0.07+0.05mg/l); Cu2+(0.85+0.16mg/l); Pb2+(0.0030+0.014mg/l); Cd2+(0.0021+0.012mg/). Most heavy metals for both seasons were within the maximum permissible limit set by Federal Ministry of Environment, Nigeria (1991). The mean concentrations of Zn2+(1.70+0.29 mg/l) for rainy season and Zn2+(1.33+0.23mg/l) dry season were above the control and standard safe limits of < 1mg/l FMEnv (1991) for surface water quality. There was no significance difference (p<0.05) between the means from upstream and downstream sites for both seasons; though significance difference (p<0.05) existed at the abattoir sites. River Katsina –ala is slightly polluted. Heavy metal content from effluents from abattoir contributed to upset the physicochemical balance of the river. Bioaccumulation and bio-magnification of heavy metals may occur from prolong usage of the river water for drinking. It is suggested that the abattoir effluent be treated before discharge into the river to reduce environmental and health hazards.

2015 ◽  
Vol 1130 ◽  
pp. 610-613
Author(s):  
Ming Jiang Zhang ◽  
Fu Ke Huang ◽  
Nan Wang ◽  
Guang Yuan Wang ◽  
Xing Yu Liu ◽  
...  

In order to investigate the effects of mining pollution to LongJiang River and to know the situation of LongJiang River, we collected water and sludge samples along the river and analyzed the heavy metal content of samples. Results showed that LiDeFen factory and JinHe mining released most of the heavy metals to LongJiang River two years ago, and the upstream of LongJiang River also released some metal to the river. These heavy metals were precipitated to the bottom of LongJiang River by using weak alkaline chemical precipitation technology, and water quality of LongJiang River can reach the second national environmental quality standards of surface water now. The precipitation effects were different in different remediation sites.


Author(s):  
Aslı Kurnaz ◽  
Ekrem Mutlu ◽  
Arzu Aydın Uncumusaoğlu

The main aims of this study were to observe the seasonal variations of physicochemical parameters and heavy metal content, to determine the water quality properties and the suitability level in terms of aquatic life, and also to classify the quality of water in accordance with the Surface Water Quality Management Regulation (SWQMR) criteria at Çiğdem Pond (Kastamonu/Turkey). In total, 21 physicochemical parameters and 7 heavy metals were investigated for water quality assessment of the studied pond between July 2015 and June 2016 in 3 stations. The water quality in Çiğdem Pond was found to be Class I according to SWQMR. The results of this study provide a data baseline for future studies on subsequent evaluations of possible future environmental contamination. Also, to protect the water quality and to ensure the health of aquatic life in this area, it is required to make regular observations.


Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1115 ◽  
Author(s):  
Ehsan Maskooni ◽  
Mehran Naseri-Rad ◽  
Ronny Berndtsson ◽  
Kei Nakagawa

Groundwater is a major source of drinking and agricultural water supply in arid and semiarid regions. Poor groundwater quality can be a threat to human health especially when it is combined with hazardous pollutants like heavy metals. In this study, an innovative method involving entropy weighted groundwater quality index for both physicochemical and heavy metal content was used for a semiarid region. The entropy weighted index was used to assess the groundwater’s suitability for drinking and irrigation purposes. Thus, groundwater from 19 sampling sites was used for analyses of physicochemical properties (electrical conductivity—EC, pH, K+, Ca2+, Na+, SO42−, Cl−, HCO3−, TDS, NO3−, F−, biochemical oxygen demand—BOD, dissolved oxygen—DO, and chemical oxygen demand—COD) and heavy metal content (As, Ca, Sb, Se, Zn, Cu, Ba, Mn, and Cr). To evaluate the overall pollution status in the region, heavy metal indices such as the modified heavy metal pollution index (m-HPI), heavy metal evaluation index (HEI), Nemerow index (NeI), and ecological risks of heavy metals (ERI) were calculated and compared. The results showed that Cd concentration plays a significant role in negatively affecting the groundwater quality. Thus, three wells were classified as poor water quality and not acceptable for drinking water supply. The maximum concentration of heavy metals such as Cd, Se, and Sb was higher than permissible limits by the World Health Organization (WHO) standards. However, all wells except one were suitable for agricultural purposes. The advantage of the innovative entropy weighted groundwater quality index for both physicochemical and heavy metal content, is that it permits objectivity when selecting the weights and reduces the error that may be caused by subjectivity. Thus, the new index can be used by groundwater managers and policymakers to better decide the water’s suitability for consumption.


2021 ◽  
Vol 22 (8) ◽  
Author(s):  
Laila Ibrahim ◽  
REZAN OMER RASHED ◽  
SIRWAN MUHSIN MUHAMMED

Abstract. Saleh LIF, Rashed RO, Muhammed SM. 2021. Evaluation of heavy metal content in water and removal of metals using native isolated bacterial strains. Biodiversitas 22: 3163-3174. Natural surface water sources are susceptible to chemical contamination, including heavy metals. The goals of this study were to isolate naturally occurring heavy metal-tolerant bacteria by evaluating their ability to remove heavy metals from Tanjaro River and assessing the river’s water quality. The potency of bacteria to remove heavy metals (Cd, Pb, Cu, Cr, Ni, Zn, Co, and Fe) from the medium was conducted by inductively coupled plasma-optical emission spectrometry. Results of physicochemical parameters of the water samples were as follows: temperature 11.9–31°C, pH 6.1–8.64, total dissolved solids 268–464 mg.l-1, total hardness 232–485 mg.l-1, and alkalinity 122–324.3 mg.l-1. The overall mean concentrations of the heavy metals were in the order of Zn >Cu> Pb> Ni> Co> Fe> Cr> Cd), with values of 0.086, 0.073, 0.71, 0.068, 0.051, 0.056, 0.031, and 0.024ppm, respectively Moreover, the concentrations were generally exceeded the water quality criteria of WHO in some observations. The isolates included both gram-negative (56.5%) and gram-positive (43.5%) bacteria. The isolates displayed different degrees of resistance to heavy metals with maximum tolerable concentrations (MTCs) ranging from (10-250) ppm. Bacillus safensis and Leucobacter chromiiresistens were respectively able to tolerate (80, 90 ppm) Cd, (250, 160 ppm) Pb, (210,100 ppm) Cr, (110, 90 ppm) Ni and (160, 170 ppm) Co, while, Proteus mirabilis could tolerate 90 ppm Cd. The isolates were able to remove 55.4%Pb, 53.1%Cr, 53.7%Ni, 47.7Fe, 61.4%Co, and 55.8% Cu from a medium supplemented with the mixture of these heavy metals. The finding of this study indicated that Tanjaro River was undergoing frequent changes in water quality. Native bacterial isolates possessed considerable tolerance to selected heavy metals, which provides promising candidates for use in bioremediation.


2012 ◽  
Vol 38 (3) ◽  
pp. 17-28
Author(s):  
Hülya Boyacioglu

AbstractIn the study suitability of water quality index approach and environmetric methods in fi ngerprinting heavy metal pollution as well as comparison of spatial variability of multiple contaminants in surface water were assessed in the case of The Gediz River Basin, Turkey. Water quality variables were categorized into two classes using factor and cluster analysis. Furthermore, soil contamination index was adapted to water pollution index and used to fi nd out the relative relationship between the reference standards and the current situation of heavy metal contamination in water. Results revealed that surface water heavy metal content was mainly governed by metal processing, textile and tannery industries in the region. On the other hand, metal processing industry discharges mainly degraded quality of water in Kemalpasa and Menemen. Furthermore, Kemalpasa region has been heavily affected from tannery and textile industries effl uents. Moreover, pollution parameters have not been infl uenced by changes in physical factors (discharge and temperature). This study indicated the effectiveness of water quality index approach and statistical tools in fi ngerprinting of pollution and comparative assessment of water quality. Both methods can assist decision makers to determine priorities in management practices.


2013 ◽  
Vol 726-731 ◽  
pp. 1174-1177 ◽  
Author(s):  
Wei Chun Gao ◽  
Jun Pan ◽  
Fei Ding ◽  
Yi Cheng Gong ◽  
Yong Xiang Zhang

Using Xiquan Lake wetland as an example, the fuzzy comprehensive evaluation method in the application of surface water quality assessment was discussed in this paper. This paper chooses six representative pollution index, calculates respectively weight and integrated membership grade of the pollution index during dry season and rain season, and overall evaluates surface water quality of Xiquan Lake wetland comprehensive. Fuzzy comprehensive evaluation results show that water quality is respectively class V and III during dry season and rain season. Surface water quality of Xiquan Lake wetland in rain season is worse than in dry season. The evaluation results are scientific and reasonable, provide effective basis for wetland resources use and management.


2019 ◽  
Vol 42 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Igor Gopchak ◽  
Tetiana Basiuk ◽  
Ihor Bialyk ◽  
Oleg Pinchuk ◽  
Ievgenii Gerasimov

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.


2021 ◽  
Author(s):  
Yang Lin ◽  
Kai Luo ◽  
Zilin Su ◽  
Yang Wu ◽  
Wei Xiao ◽  
...  

Abstract The urbanization is regarded as the major factor related to human activities that may interfere with the natural ecosystem. In this study, we have selected the wetland of East Dongting Lake as the research area. We have collected 180 soil samples (within the range of 0–20 cm, and 20cm-40cm), and we have measured the contents of their physicochemical properties (including salinity, pH value, soil particle composition, soil organic carbon, nitrate nitrogen and rapidly available phosphorus) as well as heavy metal elements (including As, Hg, Cd, Pb, Ni and Cr). We have adopted the methods of multivariate statistical analysis and inverse distance weighted (IDW) interpolation, so as to to reveal the sources and distribution characteristics of heavy metal content in soil in the research area. By adopting the potential ecological risk index (PERI) method proposed by Hakanson, we intend to assess the PERI values of heavy metals. Our research findings have shown that: (1) 8 sorts of heavy metals have shown positive correlation with each other. As, Hg and Zn have shown a significantly positive correlation with SOC (P < 0.01); As, Ni, Cr and Zn have shown a significantly positive correlation with AP (P < 0.01); As and Pb have shown a significantly positive correlation with Clay (P < 0.01); whereas Hg and Zn have shown a significantly negative correlation with Silt (P < 0.01); As and Pb have shown a significantly negative correlation with Sand (P < 0.01). (2) During urbanization, the elements of Cd, Ni, As, Hg and Pb might be enriched due to agricultural and industrial activities, whereas the use of fertilizers and pesticides constitute one of the major factors contributing to the increase of Cd and Pb contents in soil. (3) Influenced by the varying land patterns and with exception to Cu, the Fe-normalized concentrations have shown significant variations among different types of land use (P < 0.05). Specifically, there is a significantly higher level of Cd, Zn, Pb and Hg contents in the agricultural land than other types of land use, whereas there is a slightly higher level of heavy metal content in the mudflats than that in the grassland. In addition, the content of heavy metals in woodland remains relatively stable, and with exception to As, the content of heavy metals in woodland is the lowest among the five types of land. (4) The average value of the comprehensive PERI in heavy metals amounts to 555.03, representing a strong degree of ecological risks. Specifically, the proportion of sampling points of Cd that have a high level of ecological risks amounts to 36.51%, which is the primary element contributing to heavy metal pollution in the region, especially in the agricultural land.


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