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.

A GIS-based assessment of spatial groundwater quality for drinking purposes in Asmara City, Eritrea

2021 ◽  
Author(s):  
Kabral Mogos Asghede ◽  
Dawit Berhane Hagos
Keyword(s):  
Groundwater Quality ◽  
Potable Water ◽  
Critical Level ◽  
Groundwater Resources ◽  
Total Dissolved Solids ◽  
Total Hardness ◽  
Analysis Framework ◽  
Alternative Source ◽  
Drinking Purposes ◽  
Supply Problem

<p><strong>Abstract</strong>: Presently the water-supply problem in the Asmara area has reached to a critical level. Using a GIS-based method this study identifies the spatial variability of the groundwater quality in the Asmara Area which could be an alternative source. The results show that, the Total Dissolved Solids (TDS), Total Hardness (TH), Chloride (Cl<sup>-</sup>), Nitrates (NO<sub>3</sub><sup>-</sup>), Calcium (Ca), Magnesium (Mg), Sulphate (SO<sub>4</sub>) and pH are 791.71, 569.12, 124.41, 64.46, 155.60, 46.64, 159.26 and 7.72 mg/L, respectively. Moreover, the zone map of the developed groundwater quality shows that the potable water without treatment covers about 35%, and the potable water in the absence of better alternate sources covers about 58% of the total area. The remaining, 7.04% of the total, falls under non-potable groundwater quality. The verification of the spatialanalysis demonstrates that the framework is the first one in Eritrea and could be used as a potential prediction for the assessment of the spatial groundwater quality in the countries with further verification results. Hence, the delineation of groundwater quality zones and establishment of a GIS-based database will easily help the decision makersto monitor and plan the utilization of the groundwater resources in the study area.</p><p><strong>Keywords: </strong>Groundwater quality; physicochemical parameters; GIS spatial analysis; framework</p>

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 Evaluation of Water Quality Parameters in Shatt AL-Arab, Southern Iraq, Using Spatial Analysis

Hydrology ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 79 ◽  
Author(s):  
Zahraa Q. Lateef ◽  
Abdul-Sahib T. Al-Madhhachi ◽  
Dawood E. Sachit
Keyword(s):  
Water Quality ◽  
Spatial Analysis ◽  
Arabian Gulf ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Data Availability ◽  
Water Quality Parameters ◽  
Total Hardness ◽  
Dissolved Solids ◽  
Southern Iraq

The present work illustrates the potential application of techniques of spatial analysis via geographic information systems (GIS) to categorize the distribution of temporal and spatial of water prediction characteristics to determine the water quality parameters of the Shatt Al-Arab River (SAA), southern Iraq. Eight main water quality parameters and three heavy metals were measured from December 2018 to October 2019. The total dissolved solids, chloride, sulfate, and total hardness were compared with previous data that were measured from 2014 to 2018 based on data availability. The geochemical characteristics were also investigated to analyze water quality parameters. The study was performed by selecting eleven stations according to the nature areas of SAA. Water samples were acquired from the eleven stations for four seasons (winter of 2018 through autumn of 2019). Results revealed that total dissolved solids ranged between 950 to 8500 mg/L, total hardness varied from 400 to 2394 mg/L as calcium carbonate (CaCO3), the sulfate ranged from 149 to 1602 mg/L, and chloride ranged from 330 to 3687 mg/L. The results showed that SAA had high salinity with a low hazard of sodicity. The SAA waters mainly fall below the Dolomite-Magnesite tie-lines which indicated the dissolution of carbonate rocks. This research also found that the study area confined from Al-Maqal station to Abu Flus port station where the salty marine water coming from the Arabian Gulf remains for longer periods. The SAA is not suitable for drinking and irrigation water according to Iraqi and World Health Organization (WHO) standards. This study suggested building a blocking dam downstream of the SAA to prevent salty water from coming back from Arabian Gulf.

scholarly journals An assessment of groundwater quality in South-West zone of Surat city

2021 ◽  
Author(s):  
Ankit N. Chaudhari ◽  
Darshan J. Mehta ◽  
Dr. Neeraj D. Sharma
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Ground Water ◽  
Coastal Region ◽  
Total Dissolved Solids ◽  
Total Hardness ◽  
Ground Water Quality ◽  
The South ◽  
South West ◽  
The People

Abstract Groundwater quality alludes to the state of the water that is arranged under the Earth's surface. Groundwater can accumulate in breaks in subsurface rocks and the centre of soil particles. Since various blends can break down in water and others can be suspended in water, there is a potential for pollution with harmful mixes including significant particles like Electrical Conductivity (EC), Total Dissolved Solids (TDS), and many others i.e. Ca, Cl, F, Mg, NO3, SO4, and Total Hardness. This study examines Groundwater Quality in the study area of the South-West zone of Surat city, Gujarat. The South-West zone of Surat city is situated on the shoreline, causes the groundwater of the concerned area highly affected by seawater intrusion. The present study determines the Ground Water Quality Index (GWQI) from the year 2006 to 2015. It also predicts the approximate ground water quality for the next 10 years. The outcome of this study suggests the need of certain improvement in ground water quality by an appropriate method such as Managed Aquifer Recharging (MAR). It will be beneficial for the people mainly dependent on the ground water, particularly living near the coastal 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.

Spatio-temporal variation of groundwater contamination using IEA-UEF in urban areas of Jilin City, North-eastern China

2016 ◽  
Vol 16 (5) ◽  
pp. 1277-1286 ◽  
Author(s):  
Zhang Nan ◽  
Liu Bo ◽  
Xiao Changlai
Keyword(s):  
Groundwater Quality ◽  
Groundwater Contamination ◽  
Urban Areas ◽  
Interpolation Method ◽  
Eastern China ◽  
Quality Parameters ◽  
Kriging Interpolation ◽  
Total Hardness ◽  
Kriging Interpolation Method ◽  
Spatio Temporal

Groundwater monitoring wells located in urban areas of Jilin City were sampled from 1980 to 2009 for eight groundwater quality parameters: pH, SO42−, Cl−, NO3−-N, NO2− -N, NH4+-N, F−, and total hardness (TH). The data were analysed by a universal exponential formula based on an immune evolutionary algorithm, and later mapped with the Kriging interpolation method. The primary objectives were to assess the main parameters that influenced groundwater quality and the spatio-temporal variability of groundwater contamination over several years. The results showed that NO3−, NH4+, and TH were the main parameters that influenced groundwater quality. Spatially, groundwater was polluted in all urban areas to varying degrees, and the Jiangbei district was the most heavily polluted location. Temporally, the groundwater contamination status could generally be classified into four stages and showed the following pattern during 1980–2009: heavy – light – heavy – light.

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.

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 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.

PHYSICOCHEMICAL ANALYSIS OF GROUND WATER AND SURFACE WATER IN KOTA REGION, RAJASTHAN, INDIA

2018 ◽  
Vol 24 (1) ◽  
Author(s):  
NITU SINGH ◽  
FATIMA SULTANA
Keyword(s):  
Surface Water ◽  
Ground Water ◽  
Growth And Development ◽  
Physicochemical Parameters ◽  
Total Dissolved Solids ◽  
Physicochemical Analysis ◽  
Total Hardness ◽  
Developing Nation ◽  
The Sustainable Development ◽  
Chloride Sulfate

India is a developing nation and is dependent on its natural resources for growth and development. Water, being one of the vital natural resource, must be used judicially for the sustainable development. Present study focuses on the analysis of physicochemical parameters (pH, Turbidity, Alkalinity, Total Hardness, Total dissolved solids, Conductivity, Chloride, Sulfate, Fluoride contents) of ground water and surface water in Kota City (Rajasthan). The study shows the adverse impact of exploitation and urbanization on water resources of Kota City (Rajasthan). Some physicochemical parameters exceed the desirable limits as defined by WHO and Indian Standards in the selected sites. The level of pollution in ground water and surface water of Kota City is increasing due to urbanization.

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