scholarly journals Water Pollution Assessment of Selected Valuable Rivers in Efon Alaaye, Ekiti State

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
James R Adewumi

Pollution in relation to river water is the term used to express the level of contamination and the suitability of such river water to sustain various usage. In many developing countries, the main issue, however, is not the physical scarcity of water but poor management which results in the continuous deterioration of water quality. This study conducted an onsite measurement of seasonal stream flow and quality variation of major valuable streams use for non-potable domestic purposes in Efon-Alaaye, Ekiti state. Stream flow data was obtained using volumetric method and the quality analysis was carried out in accordance with Standard Methods for Examination of Water and Wastewater. The result shows that the average stream flow ranges from 0.120 m3/s to 1.04 m3/s. The physicochemical parameters measured fall short of the national and international standards, which indicates that the water is not fit for human consumption. It was also observed that the self-cleansing of the studied rivers is sufficient to meet the quality requirement for non-potable domestic use. It is recommended that all human activities that could lead to further pollution should be avoided around the river catchment while period public enlightenment should be carried out to sensitize the community on the best hygienic practice within the river catchment to promote good water quality. Keywords: Water quality, water pollution, stream flow, water management.

2020 ◽  
Vol 69 (2) ◽  
pp. 160-172 ◽  
Author(s):  
Cao Truong Son ◽  
Nguyen Thị Huong Giang ◽  
Trieu Phuong Thao ◽  
Nguyen Hai Nui ◽  
Nguyen Thanh Lam ◽  
...  

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.


Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1394 ◽  
Author(s):  
Marsha Putri ◽  
Chao-Hsun Lou ◽  
Mat Syai’in ◽  
Shang-Hsin Ou ◽  
Yu-Chun Wang

The application of multivariate statistical techniques including cluster analysis and principal component analysis-multiple linear regression (PCA-MLR) was successfully used to classify the river pollution level in Taiwan and identify possible pollution sources. Water quality and heavy metal monitoring data from the Taiwan Environmental Protection Administration (EPA) was evaluated for 14 major rivers in four regions of Taiwan with the Erren River classified as the most polluted river in the country. Biochemical oxygen demand (6.1 ± 2.38), ammonia (3.48 ± 3.23), and total phosphate (0.65 ± 0.38) mg/L concentration in this river was the highest of the 14 rivers evaluated. In addition, heavy metal levels in the following rivers exceeded the Taiwan EPA standard limit (lead: 0.01, copper: 0.03, and manganese: 0.03) mg/L concentration: lead-in the Dongshan (0.02 ± 0.09), Jhuoshuei (0.03 ± 0.03), and Xinhuwei Rivers (0.02 ± 0.02) mg/L; copper: in the Dahan (0.036 ± 0.097), Laojie (0.06 ± 1.77), and Erren Rivers are (0.05 ± 0.158) mg/L; manganese: in all rivers. A total 72% of the water pollution in the Erren River was estimated to originate from industrial sources, 16% from domestic black water, and 12% from natural sources and runoff from other tributaries. Our research demonstrated that applying PCA-MLR and cluster analysis on long-term monitoring water quality would provide integrated information for river water pollution management and future policy making.


2017 ◽  
Vol 4 (3) ◽  
pp. 71-74
Author(s):  
Sangeeth Thekkan ◽  
Renjini Haridas ◽  
Paulsamy S

Rivers are one of the primary sources of water for drinking, irrigation and other domestic purposes.The present study deals with the water quality assessment of Tejaswini river of Cherupuzha Panchayath, Kannur district, Kerala. The water samples collected from five different sites were analyzed for parameters such as temperature, color, pH, BOD, DO, calcium, magnesium and Escherichia coli. The analysis of the physico– chemical and microbiological characters of the river water indicated that the water quality study of site I was affected severely because the study site is very near to the tribal settlements and also the tribes use thisarea mainly for sewage disposal. Study site II, III, IV and V, which are away from the tribal settlement, the river water is not polluted as it is very far away from the tribal settlement and also nearer to forest canopy. Water from study site I which not suitable for drinking and other domestic use. Therefore, source protectionis suggested for the site I water bodies for the benefit of mankind because it is not safe for human consumption.


Author(s):  
Azad Kannaujiya

Gomati River originate from Madhoganj Tanda village in Pilibhit district, U.P. it passes through the district of Shahjahanpur, kheri, Hardoi, Sitapur, Janpur and ultimately merge in Ganga. River water is significant for every living organism as well as aquatic life. Water pollution is a major global problem. Modernization and urbanization have polluted the river water and degraded the status. All over the world we are seeing that drain is the main source of water pollution especially for rivers flowing within the city. This drain generally carries industrial effluent, domestic waste, sewage and medicinal waste resulting in poor water quality. Gomati River receives industrial as well as domestic waste from various drains of Lucknow city. As Gomati river is the only source of surface water near the communities. A total 20 parameters namely Temperature, pH, Turbidity, Conductivity, Total dissolved solids (TDS), Total suspended solids (TSS), Total solids (TS), Dissolved oxygen (DO), Biological oxygen demand (BOD) Chemical oxygen demand (COD), Alkalinity, Total hardness, Calcium as ca, Magnesium as Mg, Chloride, Fluoride, Sulphate as So4, Nickel as Ni, Lead as Pb, and Zinc as Zn where analysed and their variation is discussed to obtain the impact of effluents on water quality. From the result it was found higher than the permissible limit of WHO and BIS.


2014 ◽  
Vol 8 (2) ◽  
pp. 5-19
Author(s):  
Andreea Mănescu ◽  
Luca Mihail ◽  
Mihalache Raluca

Abstract The Siret River are used as raw water source for different municipal water supply systems, yet the Siret River are used as receiving bodies by some inhabitants and industry. In the study the quality of the Siret River water was determinate using a Water Quality Index (WQI). Results are presented from a field study performed on the Bistrita, Moldova, Suceava, Siret, Şomuzu Mare, Trotuş and Tributary River in the study area Siret Basin Romania. The main objective of this study was to determine is to find correlations land use to indicators physical-chemical of water quality, to investigate pollution source is more responsible for river water quality. This is of interest not only research context, but also for supporting and facilitating the application analysis postullend in the Water Framework Directive (WFD) (2000/60/CE) for the establishment of programmers of measures. For this purpose a slightly impact pollution source municipal wastewater treatment, land uses, urban, forest, agriculture and mining was selected and intensively monitored during six years January 2006 - December 2011, sampling was determined to meet the WFD standards for confidence in twenty two different control section of the Siret Basin. The main measures to reduce emissions to the Siret River were calcium, ammonium, sulfate, residue fixed (RF), sodium, chloride, free detergent and municipal wastewater treatment, concentrated on point emission. The main contributor to diffuse this parameters increased when more percentage of land was dedicated to industry and urban and less to forest and mining.


2013 ◽  
Vol 67 (6) ◽  
pp. 1332-1338 ◽  
Author(s):  
Ying Xie ◽  
Xuyong Li ◽  
Huiliang Wang ◽  
Wenzan Li

The analysis of river pollution and assessment of spatial and temporal variation in hydrochemistry are essential to river water pollution control in the context of rapid economic growth and growing pollution threats in China. In this study, we focused on hydrochemical characteristics of the Luanhe River Basin (China) and evaluation of 12 hydrochemical variables obtained from 32 monitoring stations during 2001–2010. In each study year, the streams were monitored in the three hydrological periods (April, August, and October) to observe differences in the impacts of agricultural activity and rainfall pattern. Multivariate statistical methods were applied to the data set, and the river water hydrochemical characteristics were assessed using the water quality identification index (WQIIM). The results showed that parameters had variable contribution to water quality status in different months except for ammonia nitrogen (NH4-N) and total nitrogen (TN), which were the most important parameters in contributing to water quality variations for all three periods. Results of WQIIM revealed that 18 sites were classified as 'meeting standard' while the other 14 sites were classified as 'not meeting standard', with most of the seriously polluted sites located in urban area, mainly due to discharge of wastewater from domestic and industrial sources. Sites with low pollution level were located primarily in smaller tributaries, whereas sites of medium and high pollution levels were in the main river channel and the larger tributaries. Our findings provide valuable information and guidance for water pollution control and water resource management in the Luanhe River Basin.


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