scholarly journals Physico–Chemical analysis of groundwater quality near the salt-pans of Thoothukudi Districts, Tamilnadu, India

2020 ◽  
Vol 13 (3) ◽  
pp. 107-110
Author(s):  
Jacob Vincent ◽  
Chandra Lekha ◽  
Bagavathi ◽  
Bala Vijaya ◽  
Bhuvaneshwari ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Groundwater Quality ◽  
Salt Water ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Total Hardness ◽  
Fresh Groundwater ◽  
Salt Pans ◽  
Physico Chemical ◽  
Calcium Magnesium

The present hydrogeochemical study was confined to the Thoothukudi District in Tamilnadu, India.The groundwater quality near the salt-pans are polluted due to intensive pumping of fresh groundwater which has caused salt water to intrude into the fresh water aquifers. The major water quality parameters such as pH, Electrical conductivity, Total Dissolved Solids, Total Hardness, Calcium, Magnesium, Sodium, Chloride and Sulphate etc. were analyzed.

Spatial distribution of physico-chemical parameters for groundwater quality evaluation in a part of Satluj River Basin, India

2019 ◽  
Vol 19 (5) ◽  
pp. 1480-1490 ◽  
Author(s):  
Akshay Kumar Chaudhry ◽  
Kamal Kumar ◽  
Mohammad Afaq Alam
Keyword(s):  
Spatial Distribution ◽  
Groundwater Quality ◽  
Spatial Dependence ◽  
Groundwater Resources ◽  
Quality Parameters ◽  
Northern Region ◽  
Total Hardness ◽  
Data Set ◽  
Distribution Maps ◽  
Physico Chemical

Abstract The rising population, contamination and mismanagement of groundwater worldwide require sustainable management techniques and strategies to prevent misuse of groundwater resources especially in the semi-arid regions of the world. The aim of the present study is to assess the distribution of contaminants in groundwater at a spatial level by using a geostatistical method, namely ordinary kriging. For this, a physico-chemical parameter data set at 14 sampling locations for a period over 25 years was assessed. Three semi-variogram models, namely exponential, Gaussian and spherical, fitted well for the data set and were cross-validated using predictive statistics. Based on nugget/sill ratio, which characterizes the overall spatial dependence of water quality parameters, it was observed that, apart from nitrate, all the other parameters showed moderate to weak spatial dependence (i.e. total hardness), indicating significant influence of urbanization, fertilization and industrialization. Spatial distribution maps of all the parameters were generated. Concentration of most of the parameters reported high values in the northern region, while silicon dioxide and potassium recorded high values in the southern and central regions of the study area respectively. The study highlighted the depleting groundwater resources in various regions of the study area, indicating that the groundwater quality is in a declining state.

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.

scholarly journals Physicochemical Analysis of Ground Water Samples of South Coastal Areas of Kanniya kumari in the Post-Tsunami Scenario

2016 ◽  
Vol 13 (2) ◽  
pp. 116-121
Author(s):  
Krishna Arunachalam ◽  
Monikandon Sukumaran ◽  
Mohammad Tanveer ◽  
Kesavan Devarayan
Keyword(s):  
Electrical Conductivity ◽  
Ground Water ◽  
Physicochemical Parameters ◽  
Tamil Nadu ◽  
Total Dissolved Solids ◽  
Physicochemical Analysis ◽  
Total Hardness ◽  
Sodium Potassium ◽  
Calcium Magnesium

In this study, the effect of ‘natural/self cleaning’ of ground water by precipitation after a decade of tsunami is evaluated along the coast of Kanniyakumari district, Tamil Nadu, India. The samples were collected from five stations namely Colachel, Muttom, Periyakadu, Manakudy, and Kanniyakumari. The physicochemical parameters such as turbidity, total dissolved solids, electrical conductivity, pH, alkalinity, total hardness, calcium, magnesium, sodium, potassium, chloride, and fluoride were evaluated and compared with the database of the pre-tsunami sample collected in 2004. The results indicated that the ‘natural cleaning’ has improved the quality of the ground water over the years after tsunami.

scholarly journals Comparative account of water chemistry of three perennial rivers of Morang district, Province No. 1, Nepal

2016 ◽  
Vol 6 (1) ◽  
pp. 57-62
Author(s):  
B. R. Subba ◽  
N. Balmiki ◽  
P. K. Yadav
Keyword(s):  
Electrical Conductivity ◽  
Comparative Study ◽  
Water Chemistry ◽  
Total Dissolved Solids ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Spring Season ◽  
Chemical Parameters ◽  
Total Phosphorous ◽  
Physico Chemical

A comparative study of water chemistry of Keshaliya, Shinghiya and Lohandra rivers of Province No 1, Morang District, Nepal was performed for one spring season in 2016. Altogether 18 physico-chemical parameters were selected to be determined for each river during spring season. The values of each parameter recorded for the above rivers were pH (6.59 to 8.08), temperature (22.4 to 30.30C), electrical conductivity (336 to 537 NTU), DO (4.17 to 10.65 mg/l), total dissolved solids (168 to 268.5 mg/l), total hardness (145 to 204 mg/l), calcium hardness (106 to 180 mg/l), total alkalinity (172 to 226 mg/l), Silica (180 to 393 mg/l), total nitrogen (4.2 to 14 mg/l) total phosphorous (0.07 to 0.45 mg/l), BOD (4.24 to 126.27 mg/l), COD (9.20 to 252 mg/l), nitrate (<0.05 to 0.18 mg/l), chloride (4 to 36 mg/l), magnesium (4.13 to 21.4 mg/l) and calcium (12.15 to 72.29 mg/l).

scholarly journals A Research on Pre-Monsoon and Post-Monsoon Physico-Chemical Parameters of Groundwater of Velliangadu Village, Coimbatore, Tamilnadu, India

2019 ◽  
Vol 8 (9S2) ◽  
pp. 394-396
Keyword(s):  
Groundwater Quality ◽  
Tamil Nadu ◽  
Monsoon Season ◽  
Future Generation ◽  
Quality Parameters ◽  
Total Alkalinity ◽  
Total Hardness ◽  
Chemical Parameters ◽  
Post Monsoon ◽  
Physico Chemical

Groundwater quality plays an important role in conservation of water resources not only for the present generation but also for the future generation. Each and every harvest season witness excessive use of pesticides and fertilizers in the agricultural fields. During a monsoon season these potential hazards leaches into the soil and mixes with the groundwater. This paper aimed at studying the Physico – chemical parameters of pre- and post-monsoon groundwater quality of Velliangadu Village of Coimbatore district in the state of Tamil Nadu to reveal the water quality parameters before and after a monsoon season. The Physico-chemical parameters considered for drinking water like pH, electrical conductivity, total dissolved solids, total alkalinity, total hardness, dissolved oxygen, chlorides etc. were analysed for pre-monsoon and postmonsoon groundwater samples collected from different areas and compared.

scholarly journals Assessment of Leachate contaminated Groundwater Quality near Mandur Solid Waste Dumping Site, Bangalore

2020 ◽  
pp. 194-203
Author(s):  
RaviKumar P ◽  
Shridhar D. M ◽  
Prakash K. L
Keyword(s):  
Electrical Conductivity ◽  
Groundwater Quality ◽  
Solid Waste ◽  
Rainwater Harvesting ◽  
Total Dissolved Solids ◽  
Total Hardness ◽  
Pollution Level ◽  
Sodium Absorption ◽  
Dissolved Solids ◽  
Groundwater Samples

Groundwater samples along with leachate were collected randomly around the municipal solid waste dumping at Mandur village, Bangalore. All the collected samples were analysed for physico-chemical parameters like pH, hardness, electrical conductivity, total dissolved solids, alkalinity, calcium, magnesium, sodium, potassium, chloride, nitrate, sulphate, phosphate using Standard APHA methods during April 2018 (pre-monsoon period). It is apparent from the results that 25.93, 33.34, 14.82 and 81.48 % of groundwater samples respectively recorded higher electrical conductivity (EC ≥ 1000 μS/cm), total dissolved solids ( TDS ≥ 500 mg/L), total hardness (TH ≥ 600 mg/L) and nitrate (NO3 ≥ 45 mg/L), attributed to an interaction between the leachate and the groundwater samples near the core zone. Remaining parameters were well below their respective drinking water quality standard limit.s The Sodium absorption ratio (SAR), Residual sodium carbonate (RSC) and percent sodium values illustrated the suitability of groundwater samples for agricultural practices. Though cluster analysis specified some sort of interaction to exist between leachate and few groundwater samples, analytical outcome of groundwater quality were against such interaction. Average concentration for various parameters in ground water samples were not much affected with leachate interaction. The unsuitability of groundwater for drinking purpose, removal of excess concentration and artificial recharge of groundwater by rainwater harvesting methods could reduce the groundwater pollution level.

scholarly journals Assessment of Groundwater Quality for Drinking Purpose in Tehsil Bah, Agra District, India

2021 ◽  
Vol 34 (1) ◽  
pp. 118-126
Author(s):  
Ajay Sharma ◽  
B. Rupini
Keyword(s):  
Groundwater Quality ◽  
Total Dissolved Solids ◽  
Total Alkalinity ◽  
Total Hardness ◽  
American Public Health Association ◽  
Physico Chemical ◽  
Test Parameters ◽  
Health Association ◽  
Drinking Purpose

The increasing dependence on groundwater for domestic, irrigation, industrial and other purposes is giving adverse impact on the aquifers and environment of the area. The present study is focused on the physico-chemical analysis of groundwater quality of Tehsil Bah, located in Agra district of India. A total 84 samples of groundwater were collected from different locations throughout the area of the tehsil Bah. Total 16 test parameters were analyzed to assess the quality of groundwater by adopting methodology and techniques given in the American public health association (APHA), 2017. Total dissolved solids are not meeting the requirements of acceptable limit in all the locations as per Bureau of Indian standard IS 10500:2012. Total hardness, total alkalinity, chloride, calcium and magnesium values are also not met the requirements in most of the locations. Sodium and fluoride concentrations also exceed the prescribed limits of Indian standard in some places.

scholarly journals Modeling Water Quality Parameters Using Data-Driven Models, a Case Study Abu-Ziriq Marsh in South of Iraq

Hydrology ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 24 ◽  
Author(s):  
Mustafa Al-Mukhtar ◽  
Fuaad Al-Yaseen
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Performance Criteria ◽  
Total Hardness ◽  
Efficiency Coefficient ◽  
Dissolved Solids ◽  
South Of Iraq

Total dissolved solids (TDS) and electrical conductivity (EC) are important parameters in determining water quality for drinking and agricultural water, since they are directly associated to the concentration of salt in water and, hence, high values of these parameters cause low water quality indices. In addition, they play a significant role in hydrous life, effective water resources management and health studies. Thus, it is of critical importance to identify the optimum modeling method that would be capable to capture the behavior of these parameters. The aim of this study was to assess the ability of using three different models of artificial intelligence techniques: Adaptive neural based fuzzy inference system (ANFIS), artificial neural networks (ANNs) and Multiple Regression Model (MLR) to predict and estimate TDS and EC in Abu-Ziriq marsh south of Iraq. As so, eighty four monthly TDS and EC values collected from 2009 to 2018 were used in the evaluation. The collected data was randomly split into 75% for training and 25% for testing. The most effective input parameters to model TDS and EC were determined based on cross-correlation test. The three performance criteria: correlation coefficient (CC), root mean square error (RMSE) and Nash–Sutcliffe efficiency coefficient (NSE) were used to evaluate the performance of the developed models. It was found that nitrate (NO3), calcium (Ca+2), magnesium (Mg+2), total hardness (T.H), sulfate (SO4) and chloride (Cl−1) are the most influential inputs on TDS. While calcium (Ca+2), magnesium (Mg+2), total hardness (T.H), sulfate (SO4) and chloride (Cl−1) are the most effective on EC. The comparison of the results showed that the three models can satisfactorily estimate the total dissolved solids and electrical conductivity, but ANFIS model outperformed the ANN and MLR models in the three performance criteria: RMSE, CC and NSE during the calibration and validation periods in modeling the two water quality parameters. ANFIS is recommended to be used as a predictive model for TDS and EC in the Iraqi marshes.

scholarly journals Hydro-chemical Survey and Quantifying Spatial Variations in Groundwater Quality in Coastal Region of Chennai, Tamilnadu, India – a case study

2018 ◽  
Vol 50 (1) ◽  
pp. 57 ◽  
Author(s):  
Kishan Singh Rawat ◽  
T. German Amali Jacintha ◽  
Sudhir Kumar Singh
Keyword(s):  
Groundwater Quality ◽  
Physicochemical Parameters ◽  
Interpolation Method ◽  
Groundwater Resources ◽  
Coastal Region ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Mean Value ◽  
Total Hardness ◽  
Dissolved Solids

The good quality of groundwater is important for the purpose of future planning and management. The present study has been undertaken to provide an overview on the status of groundwater quality through physicochemical parameters namely pH, alkalinity, total hardness, total dissolved solids, chloride, fluoride, nitrate, phosphate and iron through laboratory analysis. Samples have been collected from seven wells located in Chennai costal region of state Tamilnadu, India. The laboratory-based results shows that the mean value of pH is 7.29, alkalinity (308.57 mg/l), total hardness (285.71 mg/l), chloride (175.71 mg/l), iron (0.71 mg/l), nitrate (13.57 mg/l), phosphorus (2.71 mg/l) and total dissolved solids (924 mg/l), respectively. The geo-database water quality parameters were created in Geographical an Information System. Further, the kriging a geo-statistical method of interpolation is applied to know the health of groundwater in the then-sampled area. This interpolation method has been used to predict spatial distribution physicochemical parameters in the form of contour. Local planners and policy makers may utilize these results for efficient management of groundwater resources in this area.

scholarly journals Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Sadik Mahammad ◽  
Aznarul Islam
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Fuzzy Ahp ◽  
Poor Quality ◽  
Quality Parameters ◽  
Analytic Hierarchy ◽  
Fan Delta ◽  
Quality Water ◽  
Calcium Magnesium ◽  
Groundwater Quantity

AbstractIn recent years, groundwater pollution has become increasingly a serious environmental problem throughout the world due to increasing dependency on it for various purposes. The Damodar Fan Delta is one of the agriculture-dominated areas in West Bengal especially for rice cultivation and it has a serious constraint regarding groundwater quantity and quality. The present study aims to evaluate the groundwater quality parameters and spatial variation of groundwater quality index (GWQI) for 2019 using the fuzzy analytic hierarchy process (FAHP) method. The 12 water quality parameters such as pH, TDS, iron (Fe−) and fluoride (F−), major anions (SO42−, Cl−, NO3−, and HCO3−), and cations (Na+, Ca2+, Mg2+, and K+) for the 29 sample wells of the study area were used for constructing the GWQI. This study used the FAHP method to define the weights of the different parameters for the GWQI. The results reveal that the bicarbonate content of 51% of sample wells exceeds the acceptable limit of drinking water, which is maximum in the study area. Furthermore, higher concentrations of TDS, pH, fluoride, chloride, calcium, magnesium, and sodium are found in few locations while nitrate and sulfate contents of all sample wells fall under the acceptable limits. The result shows that 13.79% of the samples are excellent, 68.97% of the samples are very good, 13.79% of the samples are poor, and 3.45% of the samples are very poor for drinking purposes. Moreover, it is observed that very poor quality water samples are located in the eastern part and the poor water wells are located in the northwestern and eastern part while excellent water quality wells are located in the western and central part of the study area. The understanding of the groundwater quality can help the policymakers for the proper management of water resources in the study area.

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