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 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

Evaluation of Ground Water Quality For AL Shuwayja area –Wasit Provence Using GIS Technique

2017 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Ali Nasser Hilo
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Ground Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Poor Quality ◽  
Quality Parameters ◽  
Ground Water Quality ◽  
Water Index ◽  
The City

The low level of water in rivers in Iraq leads to poor water quality, on that basis; we need to assess Iraq's water resources for uses of irrigation and drinking water. This study present a model accounts for ground water quality by using a water quality index (WQI) for the region defined between the city of Kut and the city of Badra in Wasit province. this study relies on a system of wells set up along the path through the Badra –Kut  and around it  up to 78 wells. The study showed poor quality of ground water in the region of study and it is unsuitability for irrigation and drinking water, as well as provided a solution to the water accumulated in the Shuwayja to reduce the bad effect on groundwater by using a system of branch and collection canals  then pumping at the effluent  of Al  Shuwayja in seasons of rainy season ..Water quality index calculated depend on the basis of various physic-chemical parameters as PH, Ec , TDS, TSS, Nacl , SO4 ,Na , and  Mg. The resultant and analytical are present with use of Arch GIS program – geostastical analysis for the water index and water quality parameters

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.

scholarly journals Evaluation of the Groundwater Quality Using the Water Quality Index and Geostatistical Analysis in the Dier al-Balah Governorate, Gaza Strip, Palestine

Water ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 262 ◽  
Author(s):  
Moustafa El Baba ◽  
Prabin Kayastha ◽  
Marijke Huysmans ◽  
Florimond De Smedt
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Gaza Strip ◽  
Geostatistical Analysis ◽  
Human Consumption ◽  
Chemical Parameters ◽  
Large Area

Groundwater contamination is a major problem in the Gaza Strip. In this study we investigate the groundwater quality in the Dier al-Balah Governorate. Water samples were collected from 19 municipal wells in April 2009 and April 2014 and analyzed for physio-chemical parameters (pH, TDS, Ca2+, Mg2+, Na+, K+, Cl−, SO42–, HCO3− and NO3−). The aim of the research is to determine the groundwater quality and to produce groundwater quality maps using the water quality index (WQI) method and geostatistical analysis. The results show that all water samples are very saline due to the intrusion of Mediterranean seawater in the coastal aquifer. Differences in chemical composition between 2009 and 2014 indicate that about 1% more seawater was mixed with the groundwater in this period. The majority of the observed chemical parameters of all wells are well above the WHO water quality standards and all WQI values indicate that the water quality is problematic. The spatial variation of the WQI scores is modelled by a deterministic component expressing a linear dependence on the distance to the coastline and a stochastic residual described by an exponential variogram with a practical range of 3000 m. The mapping of the WQI scores and derived water quality classes is achieved through regression-kriging. The results indicate that the groundwater in a large area along the coastline is unsuitable for human consumption and comparison of the maps of 2009 and 2014 shows that this region further expanded by about 700 m inland in a period of 5 years. The results of this study are worrying, but they also contribute to a better understanding of the factors that determine the groundwater quality and can help authorities and stakeholders with sustainable development.

scholarly journals Assessment of Water Quality of Okomu Wetland Using Water Quality Index

2020 ◽  
Vol 4 (2) ◽  
pp. 450-457
Author(s):  
S. I. Ehiorobo ◽  
A. E. Ogbeibu
Keyword(s):  
Water Quality ◽  
Water Body ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Physicochemical Characteristics ◽  
Poor Quality ◽  
Quality Data ◽  
Water Quality Data

The water quality of the Okomu Wetland was evaluated using the Water Quality Index (WQI) technique which provides a number that expresses overall water quality of a water body or water sample at a particular time. Sampling of physicochemical parameters spanned two years covering the wet and dry seasons and the water quality data were obtained from 10 sampling locations; Ponds 36, 52, 54, 61, 64, 90, 94, Arhakhuan Stream, Okomu River (Agekpukpu) and Okomu River (Iron bridge) all within the Okomu National Park. Parameters such as Total Dissolved Solids (TDS), Turbidity, pH, Electrical conductivity (EC), Chlorine (Cl), Nitrate (NO3), Sulphate (SO4), Sodium (Na), Magnesium (Mg), (Iron) Fe, Chromium (Cr), Zinc (Zn), Copper (Cu), Manganese (Mn), Lead (Pb), and Nikel (Ni) were used to compute WQI and the values obtained for the wetland ranged between 34.36 and 167.28. The Index shows that pond 36, 52 and 54 are unfit for drinking with values between 103.86 and 167.28; ponds 61 and 64 are of the very poor quality category with WQI values of 95.19 and 92.44 respectively, Pond 90, pond 94, Arhakhuan Stream and Okomu River (Agekpukpu) are of poor quality and WQI values between and 53.58 and 73.15. Whereas, the Okomu River (Iron bridge) is within the good water quality (34.36) category. The Okomu River by Iron bridge is of good quality rating while other sampled points were of poor, very poor or unfit for drinking though these water bodies are mostly free from anthropogenic activities because of the conservative status of the study area. A major source of pollution within the wetland is surface runoff. The water quality of the wetland may not be suitable for man’s consumption especially pond water which are majorly impacted by runoff, yet very important for the survival and sustenance of the forest animals and plants. The water quality index (WQI) interprets physicochemical characteristics of water by providing a value which expresses the overall water quality and thus, reveals possible pollution problems of a water body. It turns complex water quality data into information that is easily understandable and usable by scientists, researchers and the general public.

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