scholarly journals Entropy weight application for calculating groundwater quality index (EWQI) in groundwater quality zoning in Pleistocene aquifer in the Phu My town, Ba Ria – Vung Tau province

2020 ◽  
Vol 4 (1) ◽  
pp. 140-148
Author(s):  
Nguyen Hai Au ◽  
Tran Minh Bao ◽  
Pham Thi Tuyet Nhi ◽  
Tat Hong Minh Vy ◽  
Truong Tan Hien ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Index ◽  
Animal Husbandry ◽  
Quality Parameters ◽  
Entropy Weight ◽  
Groundwater Quality Index ◽  
Pleistocene Aquifer ◽  
Groundwater Samples ◽  
Entropy Weight Method

Groundwater in Phu My town is exploited essentially in Pleistocene aquifer and, used for many purposes like irrigation, domestic, production and animal husbandry. In this study, Groundwater Quality Index (EWQI) is calculated with Entropy weight method to determine the suitability of groundwater quality in study area. This method demonstrates the objectivity of each parameter calculated based on the degree of variability of each value and depends on the sample data source. The groundwater samples were collected from 17 wells in dry and wet seasons in 2017 with ten water quality parameters (pH, TDS, TH, Cl-, F-, NH4+-N, NO3--N, SO42-, Pb và Fe2+) were selected for analysising. The analysis results indicate groundwater quality is divided into 4 categories in this study area. In particular, over 70% of wells are "very good" water quality in both dry and wet seasons. Only 6% of wells are " water unsuitable for drinking purpose" of the total number of mornitoring wells in the study area.

scholarly journals Application of groundwater quality index (GWQI) and GIS in groundwater quality zoing in Pleistocene aquifer in Phu My town, Ba Ria – Vung Tau province

2020 ◽  
Vol 4 (1) ◽  
pp. First
Author(s):  
Au Hai Nguyen ◽  
Nhi Thi Tuyet Pham ◽  
Vy Hong Minh Tat ◽  
Hien Tan Truong ◽  
Hiep Ngoc Tran ◽  
...  
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Index ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Hardness ◽  
Monitoring Wells ◽  
Groundwater Quality Index ◽  
Pleistocene Aquifer ◽  
Total Study Area

Pleistocene aquifer is exploited for many purposes, including irrigation, domestic, production, and livestock use in Phu My town, Ba Ria – Vung Tau province. Groundwater Quality Index (GWQI) method combined with Geographic Information System (GIS) foundation is applied to determine the spatial variation as well as the suitability of groundwater in the study area. Water quality parameters in this study include pH, TDS, total hardness, Cl-, F-, NH4+, NO3-, SO42-, Pb2+, and Fe2+ were selected for analyzing from 17 monitoring wells in dry and wet seasons in 2017. The results indicate that water quality parameters such as Cl-, F-, NH4+-N, Pb2+ và Fe2+ exceed the maximum allowable levels by National Technical Regulation on Groundwater Quality. The groundwater quality, according to GWQI analysis results, shows that indicate 88% and 94% of the monitoring wells are from “good” to “excellent” type in the dry and wet seasons, respectively. The number of wells that have water quality from “poor” to “water unsuitable for drinking purpose” varies between the dry and wet seasons. Corresponding with the GWQI map, it shows that the area with good quality groundwater accounts for 98% of the total study area (331.44 km2) in the dry season and 94.5% of the study area (319.58 km2) in the wet season.

scholarly journals Spatial Evaluation of Groundwater Quality Using GIS and WQI in Gadilam River Basin, Tamil Nadu, India

2021 ◽  
Vol 30 (3) ◽  
pp. 546-561
Author(s):  
K. Mohammed Rizwan ◽  
V. Thirukumaran ◽  
M. Suresh
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
River Basin ◽  
Quality Index ◽  
Tamil Nadu ◽  
Interpolation Method ◽  
Quality Parameters ◽  
Groundwater Samples ◽  
Spatial Interpolation Method

The aims of the current research are to assess the drinking water quality of the groundwater in the Gadilam River Basin, which is located in the northern part of Tamil Nadu, by identifying the groundwater quality index and examine its suitability for drinking. The current work determines the levels of groundwater quality parameters based on 120 groundwater samples; 50 samples from Archaean formation, 34 samples from Quaternary formation, 35 samples from Tertiary formation and the remaining sample from Cretaceous formation. Additionally, this research compares the determined levels with the various standards for drinking. Furthermore, the variability of parameters of the groundwater quality is explored in this paper by using the spatial interpolation method. The conclusion of this research reveals that the groundwater quality parameters such as Calcium (Ca2+), Magnesium (Mg2+), Nitrate (NO32-), Fluoride (F-), Sulphate (SO42-), Bi-carbonate (HCO3-) and Percentage of Hydrogen (pH) values are observed to be within the limiting value for WHO 2017 in all the formations during the seasons in which they were taken. The water quality index (WQI) values of the Archaean, Quaternary and Tertiary formations are found to be less than 100 meq/L in all stations in both seasons. In order of WQI, these stations come under the category of “Excellent” and “Good”. The Piper trilinear classification of groundwater samples fall in the field of mixed Ca-Mg-Cl, and No dominance, some of the samples represent Na-K, Cl types of water.

scholarly journals Evaluation of Groundwater Quality Using Groundwater Quality Index (GWQI) in Sharjah, UAE

2021 ◽  
Vol 241 ◽  
pp. 01005
Author(s):  
Naseraldin Kayemah ◽  
Rami Al-Ruzouq ◽  
Abdallah Shanableh ◽  
Abdullah Gokhan Yilmaz
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Trend Analysis ◽  
Quality Index ◽  
Temporal Trend ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
World Population ◽  
Groundwater Quality Index

The rapid growth in the world population resulted in an increase of the freshwater needs in many sectors. Groundwater is the most important freshwater source specially for arid and semi-arid regions due to lack of surface water sources and low precipitation rates in those regions. In this study, monthly groundwater quality data were collected from eleven well fields in Sharjah over the period of 2004-2017. Water quality parameters including bicarbonate, calcium, chloride, fluoride, magnesium, sodium and sulphate were selected for the analysis. In the study, water quality index (WQI) process is used to develop groundwater quality index (GWQI) for Sharjah using above mentioned water quality parameters. Mann-Kendall and Spearman’s Rho tests were adopted as non-parametric trend tests for temporal (trend) analysis of GWQI, whereas inverse distance weighting interpolation was used in GWQI spatial trend analysis. Temporal trend analysis results showed significant trends in 8 out of 11 well fields. Spatial analysis showed the highest values for salinity ions in the well fields closest to the northern region, whereas the lowest values were detected in the southern region.

scholarly journals Remote sensing inversion of lake water quality parameters based on ensemble modelling

2020 ◽  
Vol 143 ◽  
pp. 02007
Author(s):  
Li Xiaojuan ◽  
Huang Mutao ◽  
Li Jianbao
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Entropy Weight ◽  
Ensemble Modelling ◽  
Chl A ◽  
Inversion Model ◽  
Entropy Weight Method ◽  
Weight Method

In this paper, combined with water quality sampling data and Landsat8 satellite remote sensing image data, the inversion model of Chl-a and TN water quality parameter concentration was constructed based on machine learning algorithm. After the verification and evaluation of the inversion results of the test samples, Chl-a TN inversion model with high correlation between model test results and measured data was selected to participate in remote sensing inversion ensemble modelling of water quality parameters. Then, the ensemble remote sensing inversion model of water quality parameters was established based on entropy weight method and error analysis. By applying the idea of ensemble modelling to remote sensing inversion of water quality parameters, the advantages of different models can be integrated and the precision of water quality parameters inversion can be improved. Through the evaluation and comparative analysis of the model results, the entropy weight method can improve the inversion accuracy to some extent, but the improvement space is limited. In the verification of the two methods of ensemble modelling based on error analysis, compared with the optimal results of a single model, the determination coefficient (R2) of Chlorophyll a and TN concentration inversion results was increased from 0.9288 to 0.9313 and from 0.8339 to 0.8838, and the root mean square error was decreased from 14.2615 μ/L to 10.4194 μ/L and from1.1002mg/L to 0.8621mg/L. At the same time, with the increase of the number of models involved in the set modelling, the inversion accuracy is higher.

scholarly journals Assessment of Variation in Water Quality Index (WQI) of Groundwater in North Goa, India

2016 ◽  
Vol 11 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Gopal Krishan ◽  
C. P. Kumar ◽  
B.K. Purandara ◽  
Surjeet Singh ◽  
N. C Ghosh ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Temporal Variations ◽  
Quality Parameters ◽  
Spatial And Temporal Variation ◽  
Total Hardness ◽  
Future Planning ◽  
Groundwater Samples ◽  
Domestic Use

A water quality index (WQI) is a tool which numerically summarizes the information from multiple water quality parameters into a single value and this information can be used to assess spatial and temporal variations in overall water quality. However, these indices are time and region specific and may be influenced by local factors. In the present study, water quality index has been worked out to assess the spatial and temporal variation of groundwater quality status for future planning and management of North Goa. Data of 19 groundwater samples were collected in the year 2005 during January, March and April, are used for the analysis. The Water Quality Index has been computed using four parameters viz. pH, Total Dissolved Solids, Total Hardness and Chloride. The WQI results show that the overall water quality class is ‘good’ and water is acceptable for domestic use.

scholarly journals Assessment of Groundwater Quality for Drinking and Domestic Purposes through Local Survey and Water Quality Index in Vietnam

2021 ◽  
Vol 56 (2) ◽  
pp. 83-93
Author(s):  
Huynh The An ◽  
Tran Thi Ngoc Bich ◽  
Chen Yi-Ching ◽  
Tran Thi Thu Hien
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Groundwater Resources ◽  
Total Hardness ◽  
Nitrate Content ◽  
Physical Parameters ◽  
Groundwater Exploitation ◽  
Groundwater Samples

The quality of groundwater resources is increasingly declining, significantly affecting people’s life and health. The study aims to assess public perception on existing groundwater quality and scheme over conventionally used free groundwater. The contemporaneous analytical procedures applied to determine the concentration of physical parameters: total dissolved solids and total solids and chemical parameters: pH, nitrite (N-NO2-), nitrate (N- NO3-), ammonium (N-NH4+/ NH3), iron (FeII + III) and total hardness were collected for 30 drinking water well samples located in 5 Quarters (An Hoa, An Loi, Ben Don, Phu Hoa, and Phu Nghi) to calculate the water quality index. The results show that up to 96% of people still use groundwater as their main source of drinking, domestic purposes, although groundwater quality is showing a serious decline in quality. The low pH index ranges from 3.0 ÷ 4.5. On average, 3.5 ÷ 4.0 pH of groundwater samples are outside the permissible limit according to VN standards 09: 2015 (5.5 - 8.5), which makes the water acidic, which harmful to human health. Besides, 10% of groundwater samples had high nitrate content, and 6.67% of water samples had ammonium content that did not meet VN standards 09: 2015. The current state of groundwater quality is not good for cooking and drinking. The results will benefit future groundwater exploitation to support more evidence of water quality and deteriorate the water quality soon, ultimately proving to be disastrous for all living beings in the region.

scholarly journals A Study of Groundwater Characteristics by Using of Groundwater Quality Index and Pollution Index in Zubair District, Basra Province, Iraq

2018 ◽  
Vol 8 (1) ◽  
pp. 19-26
Author(s):  
Ammar S. Dawood ◽  
Mushtak T. Jabbar ◽  
Mudhar H. Gatea ◽  
Hayfaa J. Al-Tameemi
Keyword(s):  
Electrical Conductivity ◽  
Groundwater Quality ◽  
Quality Index ◽  
Calcium Nitrate ◽  
Pollution Index ◽  
Total Dissolved Solids ◽  
Total Hardness ◽  
Dissolved Solids ◽  
Groundwater Quality Index ◽  
Groundwater Samples

Abstract The present work evaluated the groundwater quality index (GWQI) depending on some physicochemical analyses of thirteen groundwater samples in the Zubair district in Basra Province, Iraq. The collected groundwater samples were subjected to an extensive physicochemical analysis to evaluate the characteristics of water for drinking purpose according to Iraqi standard. For calculating the (GWQI), twelve water quality parameters were considered; turbidity, pH, chloride, total dissolved solids, total hardness (TH), electrical conductivity (EC), sodium, sulphate, phosphate, calcium, nitrate, and magnesium. The analysis of the results reveals that all the samples surpassed the portability of drinking water limits. High values of the (GWQI) in the obtained groundwater samples could possibly be caused by the higher values of electrical conductivity, total hardness, chloride, total dissolved solids and sodium within the groundwater. The calculated GWQI values ranged from 73.36 to 595.92. The pollution index (PI) was calculated for the study area with values ranged from 2.97 to 8.26. Correlation coefficients amongst the chosen water parameters exhibited some strong relationships. Finally, the analysis shows that the groundwater in this particular area needs to be treated before its consumption, and in addition, it usually needs to avoid the hazard of contamination. Principal component analysis (PCA) and cluster analysis (CA) indicate that the acquiring-data from groundwater samples are explained 90.5 % of the variance in the data with a four-component system that explains a large portion of the total variance of collected data.

GIS-based Spatio-Temporal and Geostatistical Analysis of Groundwater Parameters of Lahore Region Pakistan and their Source Characterization

2021 ◽  
Author(s):  
Sadia Ismail ◽  
M Farooq Ahmed
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Physicochemical Parameters ◽  
Quality Index ◽  
Large Data ◽  
Quality Parameters ◽  
Source Characterization ◽  
Data Set ◽  
Spatio Temporal

Abstract Assessment of groundwater quality is critical, especially in the areas where it is continuously deteriorating due to unplanned industrial growth. This study utilizes GIS-based spatio-temporal and geostatistics tools to characterize the groundwater quality parameters of Lahore region. For this purpose, a large data set of the groundwater quality parameters (for a period of 2005–2016) was obtained from the deep unconfined aquifers. GIS-based water quality index (WQI) and entropy water quality index (EWQI) models were prepared using 15 water quality parameters pH (power of hydrogen), TDS (Total dissolve solids), EC (Electrical conductivity), TH (Total hardness), Ca2+ (Calcium), Mg2+ (Magnesium), Na+ (Sodium), K+ (Potassium), Cl− (Chloride), As (Arsenic), F (Fluoride), Fe (Iron), HCO3− (Bicarbonate), NO3− (Nitrate), and SO42− (Sulfate). The data analysis exhibits that 12% of the groundwater samples fell within the category of poor quality that helped to identify the permanent epicenters of deteriorating water quality index in the study area. As per the entropy theory, Fe, NO3−, K, F, SO42− and As, are the major physicochemical parameters those influence groundwater quality. The spatio-temporal analysis of the large data set revealed an extreme behavior in pH values along the Hudiara drain, and overall high arsenic concentration levels in most of the study area. The geochemical analysis shows that the groundwater chemistry is strongly influence by subsurface soil water interaction. The research highlights the significance of using GIS-based spatio-temporal and geostatistical tools to analyze the large data sets of physicochemical parameters at regional level for the detailed source characterization studies.

scholarly journals Evaluation of Groundwater Quality for Drinking Purpose using Different Water Quality Indices in Parts of Gautam Budh Nagar District, India

2020 ◽  
Vol 32 (5) ◽  
pp. 1128-1138
Author(s):  
Meenu Agarwal ◽  
Meenakshi Singh ◽  
Jakir Hussain
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Pure Water ◽  
Groundwater Samples ◽  
Canadian Council ◽  
Ccme Wqi ◽  
Drinking Purpose

Water Quality Index (WQI) is a mathematical value for quality of water, which includes the concentration of a number of constituents present in it. Chemical and biological measures of water quality are used to represent water quality index. Measured value of the selected parameters, ideal concentration of that parameter in pure water and standard value given by different quality control organizations are used to determine this number. In the present study, three indexing methods; Weighted Arithmetic Water Quality Index (WAWQI), Groundwater Quality Index (GWQI) and Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI) were used to calculate water quality index of groundwater. A hydrochemical analysis of 22 groundwater samples was conducted to evaluate the quality of groundwater for drinking purpose. Ten hydrochemical parameters were selected for computing WQIs of groundwater samples and BIS standards were used for standardization. Analytical results show that 100 % of samples have magnesium and total hardness above the acceptable limit of BIS (10500, 2012). The mean concentration of nitrate was found 196.96 ± 9.3.18 mg/L. Spatial distribution of various parameters shows that south-east part of study area has contaminated groundwater. The results of water quality index shows that drinking water quality of 82 % (WAWQI), 95 % (GWQI) and 77 % (CCME WQI) of groundwater samples were poor to unsuitable type. Water quality index map also reveals that groundwater of village Badhpura, Dhoom Manikpur, Dairy Maccha, Khera Dharampura, Bisrakh road, Duryai and Dujana of district Gautam Budh Nagar of India, was not fit for human consumption.

scholarly journals Association of Physicochemical Characteristics, Aggregate Indices, Major Ions, and Trace Elements in Developing Groundwater Quality Index (GWQI) in Agricultural Area

2021 ◽  
Vol 18 (9) ◽  
pp. 4562
Author(s):  
Hazimah Haspi Harun ◽  
Mohamad Roslan Mohamad Kasim ◽  
Siti Nurhidayu ◽  
Zulfa Hanan Ash’aari ◽  
Faradiella Mohd Kusin ◽  
...  
Keyword(s):  
Water Quality ◽  
Trace Elements ◽  
Groundwater Quality ◽  
Quality Index ◽  
Major Ions ◽  
Physicochemical Characteristics ◽  
Quality Data ◽  
Water Quality Data ◽  
Groundwater Quality Index

The aim of this study was to propose a groundwater quality index (GWQI) that presents water quality data as a single number and represents the water quality level. The development of the GWQI in agricultural areas is vital as the groundwater considered as an alternative water source for domestic purposes. The insufficiency of the groundwater quality standard in Malaysia revealed the importance of the GWQI development in determining the quality of groundwater. Groundwater samples were collected from thirteen groundwater wells in the Northern Kuala Langat and the Southern Kuala Langat regions from February 2018 to January 2019. Thirty-four parameters that embodied physicochemical characteristics, aggregate indicator, major ions, and trace elements were considered in the development of the GWQI. Multivariate analysis has been used to finalize the important parameters by using principal component analysis (PCA). Notably, seven parameters—electrical conductivity, chemical oxygen demand (COD), magnesium, calcium, potassium, sodium, and chloride were chosen to evaluate the quality of groundwater. The GWQI was then verified by comparing the groundwater quality in Kota Bharu, Kelantan. A sensitivity analysis was performed on this index to verify its reliability. The sensitivity GWQI has been analyzed and showed high sensitivity to any changes of the pollutant parameters. The development of GWQI should be beneficial to the public, practitioners, and industries. From another angle, this index can help to detect any form of pollution which ultimately could be minimized by controlling the sources of pollutants.

Sign in / Sign up

Export Citation Format

Share Document