Relationship Between Electrical Conductivity and Total Dissolved Solids as Water Quality Parameter in Teluk Lipat by Using Regression Analysis

The health benefits in the description and observation of quantitative contents of quality parameters present or contained in any water source cannot be underestimated as they determine selection of best choice from available water sources for different intended uses as well as resource consumption. It also helps to compare the observed quantity of the quality with the acceptable standards or limits to get desired results. Physical parameters like pH, temperature, electrical conductivity (EC) and total dissolved solids (TDS) among others are determined by present of other chemical properties like Cations (Mg2+, Ca2+, Na+, etc), Anions (Cl-, NO3-, SO42+, etc), heavy metals and other dissolved materials during the course of its formation in different proportions and amounts. This study observed EC and TDS of 20 selected boreholes as two close and correlated water quality parameters as well as two of the major water quality parameters that account for overall quality of any water source, despite their different quantitative contents and physical features, they are likely determined by the same set of cations and anions with similar constraint equations. In contrast to linear programming, multiple criteria optimization models were fitted for EC and TDS using Response Surface Methodology via desirability techniques, optimal values obtained in this case measured against several criteria are found to lie between acceptable standards limits for drinking water, other numerical values and descriptive features in the final results reflect that the response equations obtained were well fitted.

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Researchof Water Quality and its Chemical Parameters by Titration Method and Instrumenal Method

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f1176.0486s419 ◽

2019 ◽

Vol 8 (6S4) ◽

pp. 871-874

Keyword(s):

Water Quality ◽

Electrical Conductivity ◽

Water Samples ◽

Total Dissolved Solids ◽

Quality Parameters ◽

Water Quality Parameters ◽

Quality Analysis ◽

Instrumental Method ◽

Titration Method ◽

Dissolved Solids

he water quality analysis is an important aspect in understanding the behavior of water and what can they be used for. This study gives us a valuable information on the general properties of water quality parameters like pH, electrical conductivity, TDS, Bicarbonate, Sulfate, Nitrate, chloride etc. of the study area . Water samples were analyzed at the water quality lab. NIH, Roorkee for pH, electrical conductivity and total dissolved solids. The pH of water varied from 7.14 to 7.75. The electrical conductivity (EC) of sample falls from 620µS/cm to 2000µS/cm. The overall total dissolved solids in water of study area varied from 120mg/l to 900mg/l. Overall the range of the Chloride in water of the study area tend to falls between 13mg/l to 375mg/l. Sulfate of all the water samples that were collected from the study area have ranged from 28mg/l to 250mg .The range of the Bicarbonate of all the water samples varied from 320mg/l to 1051mg/l. The study area helps to know about water quality parameters and how to find their values by usingtwo methods : 1) titration method 2) instrumental method .It also helps us to apply these water quality parameters in ArcGis. It helps us to show the values of different parameters in different blocks ofambala for different years In this we have studied different blocks of ambala district Haryana .We have taken the samples from different places from the blocks and also samples are from wells, canal , rivers, ponds.

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Physicochemical Properties and Metal Ions in Water and Sediment of the Dhaleshwari River

Dhaka University Journal of Science ◽

10.3329/dujs.v69i1.54622 ◽

2021 ◽

Vol 69 (1) ◽

pp. 37-42

Author(s):

Md Mazharul Islam ◽

Md Hossan Sohid Shoraoardy Bhuiyan ◽

Rakibul Islam ◽

Mohammad Shoeb ◽

Md Iqbal Rouf Mamun ◽

...

Keyword(s):

Water Quality ◽

Electrical Conductivity ◽

Metal Ions ◽

Water Samples ◽

Quality Parameter ◽

Ash Content ◽

Water Quality Parameter ◽

Cr Content ◽

Water And Sediment ◽

Ca Ions

This study was aimed to measure sediment and water quality parameter such as moisture and ash content, pH, TOC, TSS, BOD, TOC, DO, Electrical Conductivity (EC) and Na, K, Ca and Cr metal ions from Dhaleshwari River close to the Savar Tannery Estate (STE). The moisture and ash content of sediments were 23.45-31.42% and 2.09-5.80%, respectively. The pHs of sediment and water samples were 5.20-6.21 and 7.68-8.03, respectively. The average of Ca-hardness, DO and BOD in water were 885.9±88.8, 1.80±0.10 and 16.70± 1.43 mg/L, respectively. The EC of the sediment and water were 24.60-374.00 μS/cm and 32.80-39.50 mS/cm, respectively. The amount of TOC in sediment and water samples were 1.29-3.25g/100g and 2.28-2.70 mg/kg which are very low indicating the fewer amounts of plant and animal residues and sediment biota. TSS in water was 776-936 mg/L which is higher than the permissible limit (600 mg/kg). The Cr content was determined by AAS which implies that the sediment has significantly higher Cr content (38.78-681.62 mg/kg) compared to water (< 0.005 mg/L). The amount of Na and Ca ions were 26.81-45.00 and 16.04-27.36 mg/L, respectively while K ion was very negligible in water. Dhaka Univ. J. Sci. 69(1): 37-42, 2021 (January)

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Qualitative Assessment of Mine Water of the Western Jharia Coalfield Area, Jharkhand, India

Current World Environment ◽

10.12944/cwe.11.1.37 ◽

2016 ◽

Vol 11 (1) ◽

pp. 301-311 ◽

Cited By ~ 6

Author(s):

Anjani Kumar ◽

Prasoon Singh

Keyword(s):

Water Quality ◽

Electrical Conductivity ◽

Mine Water ◽

Water Discharge ◽

Total Dissolved Solids ◽

Qualitative Assessment ◽

Total Hardness ◽

Systematic Sampling ◽

Dissolved Solids ◽

Jharia Coalfield

A geochemical study of mine water in the Western Jharia coalfield area was undertaken to assess its quality and suitability for drinking and domestic purposes. To assess mine water quality of the study area, a systematic sampling was carried out during the monsoon season, 2013. Eighteen representatives mine water sample were collected from both underground (underground sump and surface water discharge) and opencast mines, and analyzed for pH, electrical conductivity (EC), total dissolved solids (TDS) , major cations (Ca2+, Mg2+, Na+ and K+) and major anions (HCO3- F-, Cl-, NO3-, SO42-). The pH of the analyzed mine waters ranged from 6.8 o 8.3 and electrical conductivity (EC) values ranged from 608 uS cm-1 to 1350 uS cm-1. TDS ranged from 432 to 1080 mg L-1 and the spatial differences in TDS reflect the geological formations, hydrological processes and prevailing mining conditions of the region. The anion and cation chemistry indicate the general ionic abundance as: HCO3-> SO42-> Cl-> NO3->F- and Mg2+>Ca2+> Na+> K+ in the mine water of the study area. The water quality assessment indicated that total dissolved solids (TDS), total hardness (TH), magnesium and sulphate are the major parameters of concern in the study area and make it unsuitable for drinking and domestic purposes.

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Water Quality of Surface Runoff from Grazed Fescue Grassland Watersheds in Alberta

Water Quality Research Journal ◽

10.2166/wqrj.2002.036 ◽

2002 ◽

Vol 37 (3) ◽

pp. 543-562 ◽

Cited By ~ 9

Author(s):

Emmanuel Mapfumo ◽

Walter D. Willms ◽

David S. Chanasyk

Keyword(s):

Water Quality ◽

Electrical Conductivity ◽

Organic Carbon ◽

Surface Runoff ◽

Total Dissolved Solids ◽

Total Carbon ◽

Runoff Water ◽

Dissolved Solids ◽

Heavy Grazing

Abstract A study was conducted at Stavely Research Station, Alberta, to determine the quantity and quality of surface runoff from small grassland watersheds under three grazing intensities, viz. ungrazed, heavy grazing (2.4 animal unit months per hectare, AUM ha-1) and very heavy grazing (4.8 AUM ha-1). The volume of surface runoff varied each year (1998, 1999 and 2000) and also differed across watersheds, with lower runoff in the ungrazed compared with the heavy and very heavy grazed watersheds. Total dissolved solids in surface runoff water ranged between 34 to 360 mg L-1, and that for runoff from the very heavy grazed watershed was greater than that from other watersheds. Electrical conductivity increased with increased grazing intensity on the watershed. In two of three years the very heavy grazed watershed had greater nitrate concentrations than the other two watersheds. In all three years the levels of nitrate were lower than the maximum acceptable level for drinking water (10 mg L-1 as nitrogen). Levels of orthophosphate (PO43-) in surface runoff from all three watersheds and the three years of study were less than 1 mg L-1, and mostly within the range considered typical for rivers and streams. Total carbon (up to 500 mg L-1) was greater than the amounts considered typical for streams and rivers, and most of it was organic carbon. Nuisance organisms such as algae, nematodes, Giardia spp., Cryptosporidium spp. and rotifers were detected in some surface runoff samples. However, no crustaceans were detected. The results of a canonical correlation analysis indicated that the dominant external forcing factors (meteorological and management) in influencing water quality were year of study, water temperature and grazing. Surface runoff discharge did not influence water quality measurements. The dominant water quality parameters were found to be total carbon, organic carbon, total dissolved solids and electrical conductivity. Overall, this study indicated that during the three years, the surface runoff volumes from the watersheds were small and grazing of these watersheds posed little risk of nutrient (e.g., nitrate, ammonia and orthophosphate) contamination of adjacent streams, but organic carbon loading and dissolved solids may be of concern. The presence of parasites was detected in two or less runoff water samples each year, and thus pose little risk of contamination of adjacent streams. However, it may be necessary to monitor parasites especially in areas under cow-calf operations.

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USE OF OVERALL INDEX OF POLLUTION AND WATER QUALITY INDEX TO ASSESS RANI POND AT AURANGABAD, BIHAR, INDIA

PLANT ARCHIVES ◽

10.51470/plantarchives.2021.v21.s1.389 ◽

2020 ◽

Vol 21 (supplement 1) ◽

Author(s):

Sunita K Sharma ◽

Vikash K Ravi ◽

Sandeep Kumar ◽

Dina N Pandit

Keyword(s):

Water Quality ◽

Electrical Conductivity ◽

Water Quality Index ◽

Quality Index ◽

Anthropogenic Activities ◽

Oxygen Demand ◽

Total Dissolved Solids ◽

Total Alkalinity ◽

Dissolved Solids ◽

Overall Index Of Pollution

The present work was carried out to apply overall index of pollution and water quality index to assess status of Rani Pond, Aurangabad, Bihar, India which has been under pressure due to the increasing anthropogenic activities. Physicochemical parameters like water temperature, pH, electrical conductivity, dissolved oxygen, total alkalinity, hardness, total dissolved solids, biochemical oxygen demand chloride, fluoride and nitrate were analyzed using standard procedures. The values obtained were compared with the guidelines for drinking purpose suggested by BIS (2012). The result shows the higher concentration of electrical conductivity, hardness, total dissolved solids and fluoride beyond the permissible limit. Ten parameters were selected to derive the overall index of pollution and water quality index for the estimation of water potential. The range of 2.70-3.50 of overall index of pollution and 165.83- 224.58 of water quality index indicating that the water of Rani Pond is not fit for drinking including both human and animals. The implementation of overall index of pollution and water quality index is necessary for proper management of the Rani Pond and it will be a very helpful tool for the public and decision makers to evaluate the water quality of the Rani Pond for sustainable management.

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

Hydrology ◽

10.3390/hydrology6010024 ◽

2019 ◽

Vol 6 (1) ◽

pp. 24 ◽

Cited By ~ 14

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.

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Water quality parameter forecast based on grey neural network modeling

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.01529 ◽

2009 ◽

Vol 29 (6) ◽

pp. 1529-1531 ◽

Cited By ~ 4

Author(s):

Wei-ren SHI ◽

Yan-xia WANG ◽

Yun-jian TANG ◽

Min FAN

Keyword(s):

Neural Network ◽

Water Quality ◽

Network Modeling ◽

Quality Parameter ◽

Water Quality Parameter ◽

Neural Network Modeling

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Effect of red algal bloom on growth and production of carps

Our Nature ◽

10.3126/on.v16i1.22122 ◽

2018 ◽

Vol 16 (1) ◽

pp. 48-54

Author(s):

Ram Bhajan Mandal ◽

Sunila Rai ◽

Madhav Kumar Shrestha ◽

Dilip Kumar Jha ◽

Narayan Prasad Pandit

Keyword(s):

Water Quality ◽

Body Weight ◽

Chlorophyll A ◽

Total Nitrogen ◽

Total Phosphorus ◽

Algal Bloom ◽

Total Dissolved Solids ◽

Dissolved Solids ◽

Aquaculture Farm ◽

Red Algal

An experiment was carried to assess the effect of red algal bloom on growth and production of carp, water quality and profit from carp for 120 days at Aquaculture Farm of Agriculture and Forestry University, Chitwan. The experiment included two treatments: carp polyculture in non-red pond and carp polyculture in red pond with algal bloom each with three replicates. Carp fingerlings were stocked at 1 fish/m2 and fed with pellet containing 24% CP at 3% body weight. Net yield of rohu was found significantly higher (p<0.05) in non-red ponds (0.38±0.01 t ha-1) than red ponds (0.24±0.05 t ha-1). Survival of rohu (84.9±1.4%), bighead (95.2±2.0%) and mrigal (88.1±14.4%) were also significantly higher (p<0.05) in non-red ponds than red ponds. Red algal bloom affected DO, nitrate and chlorophyll-a, nitrite, total nitrogen, total phosphorus, total dissolved solids and conductivity. However, overall carp production and profit from carp remained unaffected.

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Nutrient, pH, Alkalinity, and Ionic Property Levels in Runoff Containment Basins in Alabama, Louisiana, Maryland, Mississippi, and Virginia Ornamental Plant Nurseries

HortScience ◽

10.21273/hortsci11647-16 ◽

2017 ◽

Vol 52 (4) ◽

pp. 641-648 ◽

Cited By ~ 1

Author(s):

Warren E. Copes ◽

Haibo Zhang ◽

Patricia A. Richardson ◽

Bruk E. Belayneh ◽

Andrew Ristvey ◽

...

Keyword(s):

Water Quality ◽

Ammonium Nitrogen ◽

Quality Parameter ◽

Ornamental Plant ◽

Total Alkalinity ◽

Water Quality Parameter ◽

Runoff Water ◽

Manganese Zinc ◽

Water Ph ◽

Parameter Values

Nine runoff containment basins (RCBs), used directly or indirectly for irrigating plants in ornamental plant nurseries, and one adjacent stream were sampled for water quality between Feb. and July 2013 in Maryland (MD), Mississippi (MS), and Virginia (VA). Triplicate water samples were taken monthly. Analysis was done for 18 water quality variables including nitrate-nitrogen (NO3−-N) and ammonium-nitrogen (NH4+-N), orthophosphate-phosphorus (PO4-P) and total-phosphorus (T-P), potassium, calcium, magnesium, sulfur, aluminum, boron (B), copper (Cu), iron (Fe), manganese, zinc (Zn), pH, total alkalinity (T-Alk), electrical conductivity (EC), and sodium. Additionally, 15 RCBs from 10 nurseries in Alabama (AL), Louisiana (LA), and MS were sampled in 2014 and 2016. Most prevalent correlations (P = 0.01) were between macronutrients, EC, B, Fe, and Zn, but none were prevalent across a majority of RCBs. Water quality parameter values were mostly present at low to preferred levels in all 25 waterways. Macronutrient levels were highest for a RCB that receives fertility from fertigation derived runoff. Water pH ranged from acidic to alkaline (>8). Results of this study show water quality in RCBs can be suitable for promoting plant health in ornamental plant nurseries, but also shows levels will vary between individual RCBs, therefore demonstrates need to verify water quality from individual water sources.

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