scholarly journals Characteristics of Hydrochemistry and Stable Isotopes in a Karst Region in Samcheok, Republic of Korea

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 213
Author(s):  
Jiwook Jang ◽  
Jin-Yong Lee ◽  
Heejung Kim
Keyword(s):  
Water Quality ◽  
Stable Isotopes ◽  
Surface Water ◽  
Water Samples ◽  
Major Ions ◽  
Scientific Basis ◽  
Quality Parameters ◽  
Karst Region ◽  
Field Surveys ◽  
High Precipitation

Karst regions cover approximately 10% of the Korean Peninsula and are highly vulnerable to contamination. In this study, five field surveys were conducted between 2017 and 2019 to examine the monthly and seasonal changes in the hydro-environment of a characteristic karst region in Samchoek, South Korea. During the surveys, a total of 24 surface water samples were collected and analyzed for field water quality parameters, major and minor ions, and stable isotopes. The results indicate that the water quality in the study area is significantly affected by precipitation. Overall, the water was classified as a Ca-Mg-HCO3 type, and correlation analysis of the major ions detected in the water samples indicates that the inflow of nitrate to the surface water originated from agricultural activities in the region. Furthermore, variations caused by climate were verified using the relationships between the various ions. In addition, high precipitation rates during the rainy season cause the active exchange of surface material, which was verified using stable isotope outliers. The results provide a scientific basis for studying the connectivity of water systems in complex karst hydrogeological regions and can aid future sustainable management of water resources in these regions.

scholarly journals Hydrochemistry and Water Quality Indices of River Ose Water, Southern Nigeria

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Abel O. Talabi
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Major Ions ◽  
Quality Parameters ◽  
Total Hardness ◽  
Quality Indices ◽  
Water Quality Indices ◽  
E Coli ◽  
Physico Chemical ◽  
Gastrointestinal Problems

Background Objective: River Ose has flowing water throughout the year that can serve for irrigation and domestic purposes. This study examined the hydrochemistry, water quality indices and coliform counts of River Ose Water, Nigeria with a view to ascertain its suitability for drinking and irrigation.Materials and Method: For this purpose, 15 water samples were collected along the flowing river channel and subjected to physico-chemical and e-coli determination using standard methods. Water quality index (WQI) and Irrigation parameters (Sodium adsorption ratio (SAR), Percentage sodium (%Na), Residual sodium bicarbonate (RSBC), Kelly’s ratio (KR), Permeability index (PI) and Magnesium absorption ratio (MAR)) were calculated from the chemical data obtained from the analyses.Results: Results of the analyses revealed that pH (9.7 pH of the water samples were of alkaline nature with all the water samples exceeding approved standard for drinking water. Drinking alkaline water may deactivate pepsin but it could lead to gastrointestinal problems and metabolic alkalosis. Electrical conductivity (µS/cm), Total dissolved solids (mg/L) as well as Total hardness of all analyzed water samples fell in the category of fresh water. HCO3- and Cl- were the dominant anions while Na+ and K+ constitute the dominant cations in the water chemistry. The abundance of major ions revealed Na+> K+ >Mg2+>Ca2+ and HCO3->Cl->SO42->NO3- trend. The dominant hydrogeochemical facies was mixed Ca2+-Na+-HCO3- (93%) with few mixed Ca2+-Mg2+-Cl- (7%) while calculated WQI was 89.44. All samples tested positive to e-coli count ranging from 1.71*101 – 8.100*103.Conclusion: The analyzed physico-chemical parameters in all River Ose water samples were well within approved desirable limits except for the pH. However, the water was not potable as all samples tested positive to e-coli counts. In addition, WQI calculation revealed that the water has very poor drinking quality. Sources of ions in the River were predominantly from rainfall and minor weathering from the bedrocks. Irrigation quality parameters (SAR, %Na, RSBC and KR) indicated that River Ose water was good for irrigation. However, applying the water on salt sensitive plants is not advisable as irrigation evaluation employing PI and MAR showed that the water was not suitable for irrigation.

scholarly journals Seasonal assessment of suface and ground water in Himalayan footh hill, Uttarakhand

2021 ◽  
pp. 82-87
Author(s):  
RAJDEO KUMAR
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Surface Water ◽  
Ground Water ◽  
Water Samples ◽  
Winter Season ◽  
Chemical Properties ◽  
Quality Parameters ◽  
The Sustainable Development ◽  
Quality Of Water

An investigation was carried out to assess the quality of water in Himalayan foot hill, Uttarakhand. The surface and ground water samples were collected during summer, monsoon and winter season from four sites. These water samples were analysed for their physico-chemical properties and heavy metals. The results revealed that the pH, EC, TDS and bicarbonate ranged from 7.2 to 7.7, 350.7 to 563.2 µScm-1, 385.7 to 906.7 ppm and 146.7 to 186.3 ppm, respectively in surface water, irrespective for season. The corresponding values for these parameters in ground water ranged from 7.1 to 7.3, 335.5 to 364.0 µScm-1, 316.7 to 610.0 ppm and 144.5 to 164.2 ppm. The concentrations of Na, K, Ca and Mg varied from 4.4 to 12.6 ppm, 1.8 to 18.0 ppm, 25.5 to 42.9 ppm and 16.6 to 32.0 ppm, respectively in surface water whereas the concentrations of these elements in ground water ranged from 4.6 to 6.8 ppm, 1.5 to 7.7 ppm, 19.5 to 35.6 ppm and 16.0 to 28.8 ppm, respectively. All the heavy metals were in safe limit in both sources of waters. In general, the concentrations of these water quality parameters were relatively higher during summer and lower in monsoon. On the basis of water quality index, the water samples collected from site-I and site-IV were rated as good to Excellent, whereas water samples of site-II and site-III were rated as poor to good in surface water. However, ground water at all the sites have been rated as good to excellent for the sustainable development.

scholarly journals Effects of Multi-Dike Protection Systems on Surface Water Quality in the Vietnamese Mekong Delta

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1010 ◽  
Author(s):  
Huynh Vuong Thu Minh ◽  
Masaaki Kurasaki ◽  
Tran Van Ty ◽  
Dat Quoc Tran ◽  
Kieu Ngoc Le ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Samples ◽  
Mekong Delta ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Flood Hazards ◽  
Water Control ◽  
Multivariate Statistical ◽  
Protection Systems

The Vietnamese Mekong Delta (VMD) is one of the largest rice-growing areas in Vietnam, and exports a huge amount of rice products to destinations around the world. Multi-dike protection systems have been built to prevent flooding, and have supported agricultural intensification since the early 1990s. Semi-dike and full-dike systems have been used to grow double and triple rice, respectively. Only a small number of studies have been conducted to evaluate the water quality in the VMD. This study aimed to analyze the spatiotemporal variation of water quality inside the dike-protected area. Surface water samples were collected in the dry and wet seasons at 35 locations. We used multivariate statistical analyses to examine various water quality parameters. The mean concentrations of COD, NH4+, NO3−, PO43−, EC, and turbidity were significantly higher in water samples inside the full-dike system than in water samples from outside the full-dike systems and inside the semi-dike systems in both seasons. High concentrations of PO43− were detected in most of the primary canals along which residential, tourist areas and local markets were settled. However, NO3− was mainly found to be higher in secondary canals, where chemical fertilizers were used for rice intensification inside the dike system. Water control infrastructures are useful for preventing flood hazards. However, this has an adverse effect on maintaining water quality in the study area.

scholarly journals Distribution and Risk Assessment of Toxic Pollutants in Surface Water of the Lower Yellow River, China

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1582
Author(s):  
Zhi-Hua Li ◽  
Ze-Peng Li ◽  
Xue Tang ◽  
Wen-Hao Hou ◽  
Ping Li
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Risk Assessment ◽  
Surface Water ◽  
Water Samples ◽  
Yellow River ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Lower Yellow River ◽  
The Lower Yellow River

The lower reaches of the Yellow River is known for the rapid development of industry and agriculture, which has also led to some pollution. However, information about the level of toxic contaminants in the surface waters is lacking in this area. Therefore, five sampling points were set in the lower Yellow River to investigate the distribution of various pollutants and analyze the potential risks. The presence of heavy metals (Heavy metals tested for in this study were: Mercury (Hg), Arsenic (As), Copper (Cu), Chromium (Cr), and Zinc (Zn)) and antibiotics (Antibiotics tested for in this study were: Enrofloxacin (ENR), Ciprofloxacin (CIP), and Norfloxacin (NOR)) in water samples taken from the lower Yellow River were measured to reveal the spatial distribution and risk potential of the compounds. Various water quality parameters (Water quality parameters used in this study were: chemical oxygen demand (COD), biological oxygen demand (BOD5), total phosphorus (TP), and total nitrogen (TN)) were also tested. Study results showed the main surface water pollution components were COD, BOD5, TN, and TP. The average levels were 37.79 mg/L, 16.64 mg/L, 4.14 mg/L, and 0.42 mg/L, respectively. Among the detected metals from the water samples, Hg (LOD-0.1 μg/L) levels were only in line with the surface water class III or worse. Both fish and water samples contained antibiotics. According to an ecological risk assessment conducted along the river, the distribution of pollutants in the waters exhibited a spatial relationship with the land-use pattern in the study region and the Kenli site was the most polluted. Research shows that up-to-date data on the residual levels and distribution characteristics of pollutants in the lower Yellow River could provide valuable baseline data and technical support for relevant government departments and their management going forward.

Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

2015 ◽  
Vol 8 (1) ◽  
pp. 85-89
Author(s):  
F Zannat ◽  
MA Ali ◽  
MA Sattar
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Chemical Properties ◽  
Pond Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Region ◽  
Mn Toxicity ◽  
Ph Values ◽  
Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

Assessement of Water Quality Parameters in Some Potential Pollutant Areas from Romania

2018 ◽  
Vol 69 (8) ◽  
pp. 2045-2049
Author(s):  
Catalina Gabriela Gheorghe ◽  
Andreea Bondarev ◽  
Ion Onutu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Data ◽  
Chemical Parameters ◽  
Water Quality Data ◽  
Pollutant Sources ◽  
Water Quality Forecasting

Monitoring of environmental factors allows the achievement of some important objectives regarding water quality, forecasting, warning and intervention. The aim of this paper is to investigate water quality parameters in some potential pollutant sources from northern, southern and east-southern areas of Romania. Surface water quality data for some selected chemical parameters were collected and analyzed at different points from March to May 2017.

scholarly journals Hydrogeochemistry and surface water quality assessment of IB valley coalfield area, India

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
Bishnu Prasad Sahoo ◽  
Himanshu Bhushan Sahu ◽  
Dhruti Sundar Pradhan
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Seasonal Variation ◽  
Surface Water ◽  
Water Samples ◽  
Nickel Aluminum ◽  
Acid Mine ◽  
Significant Seasonal Variation ◽  
Cadmium Selenium ◽  
High Degree

AbstractCoal mining and ancillary activities have the potential to cause water pollution characterized by acid mine drainage, acid mine leachates, extreme pH conditions and heavy metal contaminations. In the present work, 33 water samples in premonsoon and 34 water samples in monsoon were collected from the surface water bodies of Ib Valley coalfield, India for hydrogeochemical analysis. In premonsoon, pH, TSS, Turbidity, DO, BOD, COD, Magnesium, Cadmium, Selenium, Nickel, Aluminum and in monsoon, pH, TSS, Turbidity, DO, BOD, COD, Iron, Cadmium, Selenium, Nickel and Aluminum were nonconforming to the permissible limit set by the Bureau of Indian Standards, World Health Organisation and Ministry of Environment, Forest and Climate Change, Government of India. The average BOD/COD ratio of less than 0.6 in both seasons indicated Ib valley coalfield water was not fairly biodegradable. The analysis of variance (ANOVA) revealed that significant seasonal variation (p < 0.05) was observed in the hydro-chemical parameters viz. TSS, turbidity, redox potential, acidity, total hardness, bicarbonate alkalinity, chloride, sulfate, nitrate, sodium, calcium, magnesium, iron, cadmium, chromium and magnesium during the entire sampling period. Whereas, no significant seasonal variation (p > 0.05) was observed in pH, EC, TDS, DO, BOD, residual chlorine, COD, oil and grease, fluoride, potassium, zinc, copper, selenium, nickel, aluminum, boron, silica, temperature, salinity, cyanide and phenol. Water Quality Index revealed that 39.39% and 35.29% samples belong to poor water quality category in premonsoon and monsoon, respectively. As per Heavy Metal Pollution Index, Degree of Contamination (Cd) and Heavy metal evaluation index, medium degree of pollution were exhibited by 51.52%, 30.30% and 45.45% samples in premonsoon and 20.59%, 35.29% and 26.47% samples in monsoon. Whereas, 5.88%, 2.94% and 5.88% samples were having high degree of pollution in monsoon and 15.15% samples caused high degree of pollution with respect to Cd in premonsoon. However, EC, Na%, PI, SAR and RSC values suggested that the water can be used for irrigation. Water type of the region had been found to be Ca–Mg–Cl–SO4 by Piper diagram.

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

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.

scholarly journals A study on ground water quality of industrial area at Gajraula (U.P.), India

2009 ◽  
Vol 1 (2) ◽  
pp. 275-279 ◽  
Author(s):  
D. S. Malik ◽  
Pawan Kumar ◽  
Umesh Bharti
Keyword(s):  
Water Quality ◽  
Ground Water ◽  
Water Samples ◽  
Water Quality Index ◽  
Quality Index ◽  
Analytical Techniques ◽  
Industrial Area ◽  
Quality Standard ◽  
Quality Parameters ◽  
Marginal Values

The present study aims to identify the ground water contamination problem in villages located in the close vicinity of Gajraula industrial area at Gajraula (U.P.), India. Ground water samples were collected from different villages at the depth of 40 and 120 feet from earth’s surface layer. Analytical techniques as described in the standard methods for examination of water and waste water were adopted for physico-chemical analysis of ground water samples and the results compared with the standards given by WHO and BIS guidelines for drinking water. Water quality index was calculated for quality standard of ground water for drinking purposes. The present investigation revealed that the water quality is moderately degraded due to high range of seven water quality parameters such as Temperature (18.33-32.36 0C), conductivity (925.45-1399.59 μmho/cm), TDS (610.80-923.73 mgL-1), Alkalinity (260.17- 339.83 mgL-1), Ca-Hardness (129.68-181.17 mgL-1), Mg-Hardness (94.07-113.50 mgLÉ1) and COD (13.99-25.62 mgL-1). The water quality index (WQI) also indicated the all the water quality rating comes under the standard marginal values (45-64) i.e. water quality is frequently threatened or impaired and conditions usually depart from natural or desirable levels.

scholarly journals Validation of the STRIVE model for coupling ecological processes and surface water flow

2010 ◽  
Vol 13 (4) ◽  
pp. 741-759
Author(s):  
L. De Doncker ◽  
P. Troch ◽  
R. Verhoeven ◽  
K. Buis ◽  
P. Meire
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Flow ◽  
Research Question ◽  
Quality Parameters ◽  
Water Levels ◽  
Ecological Processes ◽  
Vegetation Growth ◽  
Surface Water Flow ◽  
Quality Aspects

The 1D model package STRIVE is verified for simulating the interaction between ecological processes and surface water flow. The model is general and can be adapted and further developed according to the research question. The hydraulic module, based on the Saint-Venant equations, is the core part. The presence of macrophytes influences the water quality and the discharge due to the flow resistance of the river, expressed by Manning's coefficient, and allows an ecological description of the river processes. Based on the advection–dispersion equation, water quality parameters are incorporated and modelled. Calculation of the water quantity parameters, coupled with water quality and inherent validation and sensitivity analysis, is the main goal of this research. An important study area is the River Aa near Poederlee (Belgium), a lowland river with a wealth of vegetation growth, where discharge and vegetation measurements are carried out on a regular basis. The developed STRIVE model shows good and accurate calculation results. The work highlights the possibility of STRIVE to model flow processes, water quality aspects and ecological interaction combined and separately. Coupling of discharges, water levels, amount of biomass and tracer values provides a powerful prediction modelling tool for the ecological behaviour of lowland rivers.

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