scholarly journals Evaluation of Water Quality Index Using Physicochemical Characteristics of Ogbor River in Aba, Abia State, Nigeria

2021 ◽  
Vol 25 (1) ◽  
pp. 47-51
Author(s):  
C.G. Okey-Wokeh ◽  
C.C. Obunwo ◽  
O.K. Wokeh
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
World Health Organisation ◽  
Physicochemical Characteristics ◽  
International Standards ◽  
World Health ◽  
Human Consumption ◽  
Mean Values

The study was carried out to evaluate water quality index (WQI) of Ogbor River, a freshwater system flowing through the commercial city of Aba, Southern Nigeria using selected physicochemical parameters. The levels of the physicochemical parameters were determined using standard analytical procedures in the Laboratory. The values obtained were subjected to statistical analysis using Excel spreadsheet (Version 16).Water Quality index was calculated using mean values of the selected nine parameters and the World Health Organisation standard for drinking water. The result of physicochemical parameters used showed that Dissolved Oxygen (DO) with mean 4.44 ± 0.70 mg/L, and Nitrate (NO3- ) with mean 7.58 ± 6.25 mg/L were below National and International standards. The value of WQI calculated was 83.05. The result revealed that Ogbor River water quality was very poor, so it is unfit for human consumption, and should be treated to avoid water related diseases. Keywords: Characteristics, Evaluation, Ogbor River, Physicochemical, Water Quality Index

scholarly journals Quality Assessment of Some Springs in the Awing Community, Northwest Cameroon, and Their Health Implications

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Nelson Alakeh Mofor ◽  
Estella Buleng Tamungang Njoyim ◽  
Antoine David Mvondo-Zé
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Pathogenic Bacteria ◽  
Poor Quality ◽  
High Rate ◽  
Natural State ◽  
Human Consumption ◽  
North West

Some springs in Awing, North West Cameroon, were assessed in order to ascertain their quality for human consumption. Achialum, Meupi, and Ala’amiti quarters in Awing depend on springs as the major source of drinking water and inhabitants consume it in its natural state without prior assessment and treatment. Water samples were collected from Achialum, Meupi, and Ala’amiti and analysed for organoleptic, physicochemical, and bacteriological parameters using standard methods. Results of organoleptic and physicochemical parameters showed that most of the parameters fell below WHO limits. Water quality index results, based on physicochemical parameters only, showed that Achialum and Ala’amiti springs were of good quality while Meupi spring was of poor quality. Water quality index may not carry enough information about the real quality situation since a single bad parameter value can give misleading information about the water quality. However, the bacteriological aspect revealed the presence of faecal coliforms and pathogenic bacteria in all the springs that justified the high rate of water borne diseases recorded in the area. This poor water quality could be associated to poor hygiene and farming practices. Thus, the population of Awing should implement home water treatment methods such as boiling, filtration, or chlorination before consumption.

scholarly journals Lower Danube Water Quality Quantified through WQI and Multivariate Analysis

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1305 ◽  
Author(s):  
Catalina Iticescu ◽  
Lucian P. Georgescu ◽  
Gabriel Murariu ◽  
Catalina Topa ◽  
Mihaela Timofti ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Oxygen Demand ◽  
International Standards ◽  
Danube River ◽  
Pollution Monitoring ◽  
Multivariate Techniques ◽  
Index Method

The aim of the present paper is to quantify water quality in the Lower Danube Region by using a series of multivariate techniques and the Water Quality Index (WQI). In this paper were measured 18 parameters upstream and downstream the city of Galati along the Danube River, namely: pH, Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), N-NH4+, N-NO2−, N-NO3−, N total, P-PO43−, SO42−, Cl−, Fe-total, Cr-total, Pb2+, Ni2+, Mn2+, Zn2+, As2+, in the interval winter 2013–winter 2016. The samples were either analyzed on the field, or sent for testing to the laboratory. The physicochemical parameters mentioned above were analyzed in accordance with the Romanian and International standards in force. The WQI was calculated according to Weighted Arithmetic Water Quality Index Method. The interdependencies between the selected physicochemical parameters were used for determining potential sources of pollution. Monitoring water quality dynamics in the period mentioned above favoured a series of relevant conclusions about the anthropic influence on water quality. Water quality was assessed by processing the measurements results, by calculating the water quality index (WQI), and by using the principal component analyses (PCA) and the response surface method (RSM) with the aim of correlating the indices for the physico-chemical parameters.

scholarly journals Evaluation of water quality index in some artificial aquatic environments in Port Harcourt, Rivers State, Nigeria

2021 ◽  
Vol 1 (3) ◽  
pp. 013-021
Author(s):  
Peremobowei Beldin Kpikpi ◽  
Onome Augustina Bubu-Davies
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
World Health ◽  
Aquatic Environments ◽  
Fish Ponds ◽  
Mean Values ◽  
Port Harcourt ◽  
Fish Tank ◽  
Rivers State

Background and Objective: This study aimed at using application of Water Quality Index (WQI) in evaluating the quality status of some artificial aquatic environments (concrete, earthen and plastic fish tanks/pond) in Roone Fish Farm, Port Harcourt, Rivers State, Nigeria were studied from October 2018 to September 2019. Methodology: Nine water quality parameters were considered and some samples were measured in-situ (Temperature, pH, conductivity (EC), total dissolved solid (TDS), turbidity, dissolved oxygen (DO) while biological oxygen demand (BOD), nitrate (NO3) and phosphate (PO4) were analyzed in the laboratory following standard methods. Results: The results obtained were subjected to Minitab version 16 and Tukey’s comparison test was also employed to separate means. The water quality index (WQI) calculation used the mean values of the nine (9) parameters chosen using the standards recommended by the World Health Organization (WHO), Bureau of Indian Standards (BIS) and Indian Council for Medical Research (ICMR) for drinking water quality. The water quality indices for concrete fish tank, earthen fish pond and plastic fish tank were 60.24, 73.34 and 70.20 respectively. Though, earthen fish ponds had higher WQI value and would have considered very poor water with regard to WQI calculation. The values of the WQI revealed that all the three artificial aquatic environments (concrete, earthen and plastic pond/tanks) were considered to be poor water quality. Conclusion and Recommendations: It was concluded that WQI is used as a tool for communicating information on the status of quality in different water bodies despite their medium and purpose of use. It was also recommended that the three artificial aquatic environments water should be monitored regularly and may be treated before use to avoid related public health issues.

scholarly journals Development of an Overall Water Quality Index (OWQI) for Surface Water in Indian Context

2015 ◽  
Vol 10 (3) ◽  
pp. 813-822 ◽  
Author(s):  
Surjeet Singh ◽  
N. C Ghosh ◽  
Gopal Krishan ◽  
Ravi Galkate ◽  
T Thomas ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Good Health ◽  
International Standards ◽  
World Health ◽  
Complex Data ◽  
Surface Water Resources ◽  
Fair Poor

A number of water quality indices based on classification criteria, sub-indices and aggregation function have been developed by the researchers for categorizing the water quality for different uses. In the present study, a general Overall Water Quality Index (OWQI) is developed to classify the surface water into five categories, viz. excellent, good, fair, poor and polluted. For this purpose, the concentration ranges have been defined on the basis of the Indian Standards (IS) and Central Pollution Control Board (CPCB) standards also taking into account other International standards of World Health Organization (WHO) and European Commission (EC). Sixteen parameters are selected based on social and environmental impact and weights are assigned on their relative importance to impact the quality of water. The proposed index improves understanding of water quality issues by integrating complex data and generates a score which describes the status of water quality. The proposed index will be very useful for the water management authorities to maintain good health of surface water resources.

scholarly journals Evaluation of Groundwater Quality for Human Consumption and Irrigation in Relation to Arsenic Concentration in Flow Systems in a Semi-Arid Mexican Region

2021 ◽  
Vol 18 (15) ◽  
pp. 8045
Author(s):  
Jennifer Ortiz-Letechipia ◽  
Julián González-Trinidad ◽  
Hugo Enrique Júnez-Ferreira ◽  
Carlos Bautista-Capetillo ◽  
Sandra Dávila-Hernández
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Quality Index ◽  
Quality Index ◽  
International Standards ◽  
Human Consumption ◽  
Quality Of Water ◽  
Flow Systems ◽  
Semi Arid

The supply of drinking water to the population is an important challenge facing humanity, since both surface and underground sources present a great variability of water storage with respect to space and time. This problem is further aggravated in arid and semi-arid areas where rainfall is low and torrential, which makes groundwater the main source of supply; therefore, it is necessary to carry out studies that allow evaluating the evolution of the quantity and quality of water. This study addresses the behavior of groundwater in a semi-arid region, considering the theory of flow systems to identify movement as well as water quality, es determined by a water quality index (WQI), calculated considering arsenic and fluorine. In addition, a quality irrigation classification is used, employing the norms in accordance with international standards and the Mexican Norm, which allows for a comparison. Local, regional, intermediate and mixed flow systems are identified, and the evolution of cations and anions in addition to temperature is examined. It is observed that the drinking water quality index classifies them as excellent in most of the monitored wells (<50), but with a negative evolution. Regarding irrigation, most of the water samples are classified without restriction for the establishment of any type II crop (C2S1) and with restrictions for horticultural crops. It is observed that arsenic had values between 0.49 and 61.40 (µg/L) in 2005, while in 2015 they were between 0.10 and 241.30 (µg/L). In addition, fluoride presented values between 0.00 and 2.6 (mg/L) in 2005, while in 2015 they were between 0.28 and 5.40 (mg/L). The correlations between arsenic and fluorine are noted as well as WQI and SAR. A finding in this research was to include arsenic and fluorine in the calculation of the WQI allowing a better interpretation of the quality of water for both human consumption and for agricultural use to based on this make the best decision to control any harmful effects for the population, in addition to identifying the appropriate purification treatment required to control pollutants. It is concluded that arsenic is an element of utmost importance when considering water quality, so it is necessary to examine its evolution and continue to monitor its levels constantly.

scholarly journals Variation of Water Quality of Four Micro Watersheds Outlets in Upstream of Mahaweli River during Maha Cropping Season

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
N.S. Abeysingha ◽  
M.I. Madusanka ◽  
B. Rotawewa ◽  
N. Gunasena
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
World Health Organisation ◽  
Management Plan ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
World Health

Non-point source, agriculture based pollutants have been identified as one of the main cause for water pollution in Sri Lanka. Naranhinna, Pambadeniya Kappeti-Ela, and Rajamale micro watersheds located in the Kandy district have been identified by the project on Rehabilitation of degraded agricultural lands in the Central Highlands implemented by Food and Agricultural Organisation (FAO) to rehabilitate through watershed management plan. This study assessed the baseline water quality status of these micro watersheds by obtaining water samples at the outlet of each watersheds during the Maha cropping seasons 2018/2019. Three replicates water samples from each outlets were collected six times and analysed for EC , pH, TDS, CO32-, HCO3-, NO3-, NH4+, available P, total K, Na, Ca, Mg, Fe, Al, As, Cd, Cr, Mn, and Pb using standard methods. Most of the tested drinking water quality parameters in all four micro watersheds were within the permissible limits of World Health Organisation (WHO) standard except Fe and NH4+. Observed Fe contents exceeded the WHO limits (0.3 mg/L) of all watersheds and was in the range of 1.2-1.5 mg/L. Concentration of NH4+ at Kappeti Ela, Rajamale, and Pambadeniya was in the range of 0.5 to 0.7 mg/L which exceeded the WHO standard (0.5 mg/L). Using the tested parameters, study calculated drinking water quality index (DWQI) and also irrigation water quality index (IWQI) for all investigated micro watersheds for each of the sampling date. According to the guideline, mean DWQI (19 to 48.1) graded the water of all micro watersheds as excellent while IWQI (8.7-9.2) characterised them as excellent for any crops during the study period.

scholarly journals Modification of the Water Quality Index (WQI) Process for Simple Calculation Using the Multi-Criteria Decision-Making (MCDM) Method: A Review

Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 905
Author(s):  
Naseem Akhtar ◽  
Muhammad Izzuddin Syakir Ishak ◽  
Mardiana Idayu Ahmad ◽  
Khalid Umar ◽  
Mohamad Shaiful Md Yusuff ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Assessment ◽  
Simple Calculation ◽  
Great Accuracy ◽  
Parameter Selection ◽  
Human Consumption ◽  
Multi Criteria Decision Making

Human activities continue to affect our water quality; it remains a major problem worldwide (particularly concerning freshwater and human consumption). A critical water quality index (WQI) method has been used to determine the overall water quality status of surface water and groundwater systems globally since the 1960s. WQI follows four steps: parameter selection, sub-indices, establishing weights, and final index aggregation, which are addressed in this review. However, the WQI method is a prolonged process and applied to specific water quality parameters, i.e., water consumption (particular area and time) and other purposes. Therefore, this review discusses the WQI method in simple steps, for water quality assessment, based on two multi-criteria decision-making (MCDM) methods: (1) analytical hierarchical process (AHP); and (2) measuring attractiveness by a categorically based evaluation technique (MACBETH). MCDM methods can facilitate easy calculations, with less effort and great accuracy. Moreover, the uncertainty and eclipsing problems are also discussed—a challenge at every step of WQI development, particularly for parameter selection and establishing weights. This review will help provide water management authorities with useful knowledge pertaining to water usage or modification of existing indicators globally, and contribute to future WQI planning and studies for drinking, irrigation, domestic, and industrial purposes.

scholarly journals Groundwater quality assessment using water quality index (WQI) under GIS framework

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Arjun Ram ◽  
S. K. Tiwari ◽  
H. K. Pandey ◽  
Abhishek Kumar Chaurasia ◽  
Supriya Singh ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Uttar Pradesh ◽  
Granite Gneiss ◽  
Total Hardness ◽  
Human Consumption ◽  
Anthropogenic Contamination ◽  
Quality Of Water

AbstractGroundwater is an important source for drinking water supply in hard rock terrain of Bundelkhand massif particularly in District Mahoba, Uttar Pradesh, India. An attempt has been made in this work to understand the suitability of groundwater for human consumption. The parameters like pH, electrical conductivity, total dissolved solids, alkalinity, total hardness, calcium, magnesium, sodium, potassium, bicarbonate, sulfate, chloride, fluoride, nitrate, copper, manganese, silver, zinc, iron and nickel were analysed to estimate the groundwater quality. The water quality index (WQI) has been applied to categorize the water quality viz: excellent, good, poor, etc. which is quite useful to infer the quality of water to the people and policy makers in the concerned area. The WQI in the study area ranges from 4.75 to 115.93. The overall WQI in the study area indicates that the groundwater is safe and potable except few localized pockets in Charkhari and Jaitpur Blocks. The Hill-Piper Trilinear diagram reveals that the groundwater of the study area falls under Na+-Cl−, mixed Ca2+-Mg2+-Cl− and Ca2+-$${\text{HCO}}_{3}^{ - }$$ HCO 3 - types. The granite-gneiss contains orthoclase feldspar and biotite minerals which after weathering yields bicarbonate and chloride rich groundwater. The correlation matrix has been created and analysed to observe their significant impetus on the assessment of groundwater quality. The current study suggests that the groundwater of the area under deteriorated water quality needs treatment before consumption and also to be protected from the perils of geogenic/anthropogenic contamination.

scholarly journals Development of water quality index of ex-mining ponds in Malaysia

2019 ◽  
Vol 15 (1) ◽  
pp. 54-60 ◽  
Author(s):  
Isa Baba Koki ◽  
Sharifuddin Md Zain ◽  
Low Kah Hin ◽  
Azman Azid ◽  
Hafizan Juahir ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Human Consumption ◽  
Chemical Parameters ◽  
Metal Pollutants ◽  
Physico Chemical ◽  
Klang Valley ◽  
Mining Water ◽  
Quality Status

In this paper, a study on the development  of water quality index of ex-mining ponds was carried out for proper assessment  and utilization of the abundant ex-mining ponds in Malaysia. Heavy metals were analyzed using inductively coupled plasma mass spectrophotometer (ICPMS), and physico chemical parameters were analyzed in-situ. Chemometric analysis was successfully applied for the parameter selection process. The water quality index of existing Malaysian river did not accommodate the toxic metal pollutants that dominanted in ex-mining water. The acceptable index should therefore incorporate the metal pollutants in order to evaluate the quality status of ex-mining water for human consumption which is the major point of consideration. Two water quality indices were developed to assess the water quality status of ex-mining ponds with reference to Malaysia’s water quality standard (INWQS). The heavy metal index was comprised of contribution from Pb, As, and Cd as the selected metals, while the physico-chemical parameter index has BOD, pH, DO, and AN. Chemometric analysis revealed the dominance of the selected heavy metals in ex-mining water, and physico-chemical parameters were important in water quality monitoring. Heavy metal water quality index revealed that most ex-mining ponds in Klang Valley were classified to be very poor hence could not be used for human consumption. Due to domestic input in some of the lakes in Klang Valley, the physico-chemical water quality index was in very poor status as well.  In Melaka and Negeri Sembilan, ex-mining ponds and lakes were classified as excellent in both indices.    

scholarly journals Application of artificial neural network (ANN) for water quality index (WQI) prediction for the river Warta, Poland

2021 ◽  
Vol 2130 (1) ◽  
pp. 012028
Author(s):  
M Kulisz ◽  
J Kujawska
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Artificial Neural Network ◽  
Surface Water ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Surface Water Quality ◽  
Network Modelling ◽  
Neural Network Modelling

Abstract The aim of this paper is to present the potential of using neural network modelling for the prediction of the surface water quality index (WQI). An artificial neural network modelling has been performed using the physicochemical parameters (TDS, chloride, TH, nitrate, and manganese) as an input layer to the model, and the WQI as an output layer. The physicochemical parameters have been taken from five measuring stations of the river Warta in the years 2014-2018 via the Chief Inspectorate of Environmental Protection (GIOŚ). The best results of modelling were obtained for networks with 5 neurons in the hidden layer. A high correlation coefficient (general and within subsets) 0.9792, low level of MSE in each subset (training, test, validation), as well as RMSE at a level of 0.624507639 serve as a confirmation. Additionally, the maximum percentage of an error for WQI value did not exceed 4%, which confirms a high level of conformity of real data in comparison to those obtained during prediction. The aforementioned results clearly present that the ANN models are effective for the prediction of the value of the Surface water quality index and may be regarded as adequate for application in simulation by units monitoring condition of the environment.

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