Multivariate statistical analysis of the hydro-geochemical characteristics for Mining groundwater: a case study from Baishan mining, northern Anhui Province, China

2013 ◽  
Vol 8 (1) ◽  
pp. 131-141 ◽  
Author(s):  
Song Chen ◽  
Xue Hai Fu ◽  
He Rong Gui ◽  
Lin Hua Sun
Keyword(s):  
Major Ions ◽  
High Ratio ◽  
Anhui Province ◽  
High Concentration ◽  
Fisher Discriminant Analysis ◽  
Multivariate Statistical ◽  
Rock Interaction ◽  
Fisher Discriminant ◽  
Groundwater Samples ◽  
Multivariate Statistical Approach

Major ions were analyzed for twenty five groundwater samples collected from diverse aquifer in Baishan mining, northern Anhui province, China. Conventional graphical and multivariate statistical approach were completed to identify the hydro-geochemical process and water-rock interaction, that be combined with the Cluster Analysis (CA) and Fisher discriminant analysis to recognize the sealed samples, the result showed: the diverse samples have vary ions inheriting from aquifer, samples collected from Sandstone aquifer (SA) is characterized by the high concentration of Na+ + K+, for the feldspar weathering is dominant; Ordovician limestone aquifer (OA) waters have abundance Ca2+ and Mg2+, for the dissolution of calcite and dolomite obviously; the dissolution of calcite and other calcareous concretions are dominant in Taiyuan formation water (TA) and Quaternary aquifer (QA) for the high ratio of Ca2+/Mg2+, otherwise the varied content of SO42– and HCO3− could distinguish the two aquifer water. Twenty five groundwater samples, containing six sealed samples, had been subdivided in to four groups by the CA, what are corresponded with four aquifers. Fisher discriminant functions were obtained and the efficiency was acceptable for the error rate 4% in all twenty five samples.

Geochemical characteristics of deep groundwater from sandstone aquifer in Qianyingzi mine, northern Anhui province, China

2014 ◽  
Vol 9 (1) ◽  
pp. 95-103 ◽  
Author(s):  
He Rong Gui
Keyword(s):  
Exchange Reaction ◽  
Major Ions ◽  
Anhui Province ◽  
Multivariate Statistical ◽  
Piper Diagram ◽  
Sandstone Aquifer ◽  
Groundwater Samples ◽  
Multivariate Statistical Approach ◽  
Ph Conditions ◽  
High Concentrations

Major ions, trace elements and isotope concentrations for eight groundwater samples were tested, which collected from sandstone aquifer in Qianyingzi mine, northern Anhui province, China. The Geochemical characteristic of groundwater samples were studied based on the conventional graphical and multivariate statistical approach, and the resulted showed: two types of groundwater could be identified through the Piper diagram, which have high concentrations total dissolved solids (1,164–5,165 mg/L), with alkaline environment (pH = 8.02–8.90) in nature; the rare earth element of groundwater samples are characterized by enrichment of HREEs compared to LREEs when normalized to PAAS, which presented from the NdSN/YbSN ratios ranging from 0.042 to 0.121, with an average 0.075; groundwater characterized by negative Ce anomalies and positive Eu anomalies, what could be caused by the Ph conditions and exchange reaction between Eu2+ and Sr2+, respectively; δ18O and δ2H of groundwater varied from −8.78 to −8.36‰ and −68.5 to −59.5‰, respectively. The detritus and the exchange reaction between groundwater and alkyl could be the reason of obviously drift of δ2H.

Hydro-geochemical and isotopic characterization of the deep groundwater from coal bearing in Mining district, Northern Anhui Province, China

2013 ◽  
Vol 8 (3-4) ◽  
pp. 330-341 ◽  
Author(s):  
Song Chen ◽  
He Rong Gui ◽  
Lin Hua Sun
Keyword(s):  
Meteoric Water ◽  
Carbonic Acid ◽  
Major Ions ◽  
Anhui Province ◽  
Mining District ◽  
Multivariate Statistical ◽  
Water Line ◽  
Meteoric Water Line ◽  
Multivariate Statistical Approach ◽  
Isotopic Characterization

Hydro-geochemistry and isotopes were used to understand the geochemical character and origin of the groundwater from coal bearing aquifer in Northern Anhui province, China. Twenty three groundwater samples were collected, and the isotopic composition δD, δ18O and major ions were analyzed, conventional graphical and multivariate statistical approach was completed and the result showed: three groups of groundwater could be divided form the rectangular field, the Ca-Mg-Cl, Na-Cl-SO4 and Na-HCO3 type water; the feldspar weathering is dominating weathering process, whereas, the sulfuric acid is the weathering agent along with the carbonic acid; the groundwater mainly supplied from the meteoric water for all the plots are below the local meteoric water line and global meteoric water line, the values of δD are drifted obviously, what could be caused by the exchange reaction of δD between groundwater and alkyl.

Hydro-Geochemistry of Deep Aquifers in Coal Mines in Northern Anhui Province, China: Implications for Water Rock Interaction and Water Source Discrimination

2012 ◽  
Vol 524-527 ◽  
pp. 604-607
Author(s):  
Lin Hua Sun ◽  
He Rong Gui ◽  
Man Li Lin
Keyword(s):  
Discriminant Analysis ◽  
Major Ions ◽  
Coal Mines ◽  
Water Source ◽  
Anhui Province ◽  
Rock Interaction ◽  
Source Discrimination ◽  
Deep Aquifers ◽  
Chemical Signatures ◽  
Groundwater Samples

Thirty-eight groundwater samples from three deep seated aquifers (the Quaternary, the Coal bearing and the Taiyuan Fm aquifers) had been collected from three coal mines in northern Anhui Province, China for analyzing their major ions, and the statistical methods (correlation, cluster and discriminant analysis) had been processed for evaluating the source of ions and relationship between aquifers. The results suggest that: (1) the chemical signatures of the groundwater are mainly controlled by dissolution of plagioclase, K-feldspar and calcite; (2) the aquifers had been mixed with each other, especially the mixing between the Quaternary aquifer and the Taiyuan Fm aquifer. Discriminant analysis has produced two functions and a diagram, which can be used for water source discrimination.

scholarly journals Study of groundwater contamination and drinking suitability in basaltic terrain of Maharashtra, India through PIG and multivariate statistical techniques

2020 ◽  
Vol 69 (4) ◽  
pp. 398-414 ◽  
Author(s):  
Vasant Wagh ◽  
Shrikant Mukate ◽  
Aniket Muley ◽  
Ajaykumar Kadam ◽  
Dipak Panaskar ◽  
...  
Keyword(s):  
Major Ions ◽  
Principal Component ◽  
World Health ◽  
Quality Data ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Water Quality Data ◽  
Post Monsoon ◽  
Groundwater Samples

Abstract The integration of pollution index of groundwater (PIG), multivariate statistical techniques including correlation matrix (CM), principal component analysis (PCA), cluster analysis (CA) and various ionic plots was applied to elucidate the influence of natural and anthropogenic inputs on groundwater chemistry and quality of the Kadava river basin. A total of 80 groundwater samples were collected and analysed for major ions during pre- and post-monsoon seasons of 2012. Analytical results inferred that Ca, Mg, Cl, SO4 and NO3 surpass the desirable limit (DL) and permissible limit (PL) of Bureau of Indian Standards (BIS) and the World Health Organization (WHO) in both the seasons. The elevated content of total dissolved solids (TDS), Cl, SO4, Mg, Na and NO3 is influenced by precipitation and agricultural dominance. PIG results inferred that 52.5 and 35%, 30 and 37.5%, 12.5 and 20%, 2.5 and 5% groundwater samples fall in insignificant, low, moderate and high pollution category (PC) in pre- and post-monsoon seasons, respectively. PC 1 confirms salinity controlled process due to high inputs of TDS, Ca, Mg, Na, Cl and SO4. Also, PC 2 suggests alkalinity influence by pH, CO3, HCO3 and F content. PIG and statistical techniques help to interpret the water quality data in an easier way.

scholarly journals Water quality assessment and geochemical processes in the unconfined coastal Boa Viagem Aquifer, Recife, NE Brazil

2021 ◽  
pp. 56-77
Author(s):  
Thyego Silva ◽  
Mariucha Lima ◽  
Teresa Leitão ◽  
Tiago Martins ◽  
Mateus Albuquerque
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Water Quality Assessment ◽  
Multivariate Statistical Analyses ◽  
Multivariate Statistical ◽  
Rock Interaction ◽  
Groundwater Samples ◽  
Water Rock Interaction

A hydrochemical study was conducted on the Quaternary Aquifer, in Recife, Brazil. Groundwater samples were collected in March–April 2015, at the beginning of the rainy season. Conventional graphics, ionic ratios, saturation indices, GIS mapping, and geostatistical and multivariate statistical analyses were used to water quality assessment and to characterize the main hydrochemical processes controlling groundwater’s chemistry. Q-mode hierarchical cluster analysis separated the samples into three clusters and five sub-clusters according to their hydrochemical similarities and facies. Principal Component Analysis (PCA) was employed to the studied groundwater samples where a three-factor model explains 80% of the total variation within the dataset. The PCA results revealed the influence of seawater intrusion, water-rock interaction, and nitrate contamination. The physico-chemical parameters of ~30% groundwaters exceed the World Health Organization (WHO) guidelines for drinking water quality. Nitrate was found at a concentration >10 mg NO3−/L in ~21% of the wells and exceeded WHO reference values in one. The integrated approach indicates the occurrence of the main major hydrogeochemical processes occurring in the shallow marine to alluvial aquifer as follow: 1) progressive freshening of remaining paleo-seawater accompanying cation exchange on fine sediments, 2) water-rock interaction (i.e., dissolution of silicates), and 3) point and diffuse wastewater contamination, and sulfate dissolution. This study successfully highlights the use of classical geochemical methods, GIS techniques, and multivariate statistical analyses (hierarchical cluster and principal component analyses) as complementary tools to understand hydrogeochemical processes and their influence on groundwater quality status to management actions, which could be used in similar alluvial coastal aquifers.

scholarly journals Hydrogeochemical and Isotopic Investigations on the Origins of Groundwater Salinization in Çarşamba Coastal Aquifer (North Turkey)

2021 ◽  
Author(s):  
Abdourazakou MAMAN HASSAN ◽  
Arzu Ersoy
Keyword(s):  
Transition Zone ◽  
Coastal Aquifer ◽  
Major Ions ◽  
Coastal Region ◽  
Environmental Isotopes ◽  
Classification Systems ◽  
Physical Parameters ◽  
Rock Interaction ◽  
Hydrogeochemical Process ◽  
Groundwater Samples

Abstract The aim of this study is to determine the origins of salinization and the main hydrogeochemical process that controls the chemistry of Çarşamba coastal aquifer in Turkey. Therefore, a total of 33 groundwater samples and three seawater samples were analyzed in the coastal region of Çarşamba Plain in July 2019 and for these samples’ physical parameters, major ions and environmental isotopes (δ18O, δ2H and 3H) values were determined. Piper, Chadha, Gibbs diagrams and Stuyfzand Classification Systems were used to determine the origins of salinization and the key hydrogeochemical process controlling the groundwater chemistry. According to Stuyfzand classification system, the study showed that the freshwater and fresh-brackish water main types are the most widespread in the study area. Six water subtypes were observed in the study area that include CaHCO3, CaMix, NaMix, NaCl, NaHCO3 and MgHCO3. In addition, the subtypes CaMix indicated the locations of the transition zone, where the groundwater rich in Ca and HCO3 and gradually enriched in Na changes from CaMix with HCO3 as dominant anion to eventually CaCl and NaCl subtypes. Furthermore, the subtypes NaMix, NaHCO3 and MgHCO3 showed the locations of the transition zone where the flushing of the saline aquifer by freshwater takes place. All groundwater samples from study area had a positive cation exchange code and show that four hydrogeochemical facies composed of CaHCO3; Ca-Mg-Cl and NaCl and NaHCO3. Besides, groundwater samples have been influenced by two main mechanisms: the water-rock interaction and evaporation-crystallization. According to δ18O, δ2H and 3H analysis, the water samples have meteoric origin, shallow circulation, and a short residence time.

Characteristics and evolution of hydrochemical compositions in groundwater under mining-induced disturbance: a case study

2015 ◽  
Vol 10 (3) ◽  
pp. 609-615
Author(s):  
Song Chen ◽  
Herong Gui
Keyword(s):  
Coal Mine ◽  
Statistical Approach ◽  
Chemical Compositions ◽  
Deep Groundwater ◽  
Multivariate Statistical ◽  
Carbonation Process ◽  
Groundwater Samples ◽  
Multivariate Statistical Approach ◽  
Quaternary Aquifers

To understand the hydrochemistry evolution characters of deep groundwater under the coal mine exploitation, 66 historical chemical data of groundwater samples were collected from 1997 to 2011 in Qinan coal mine, Anhui Province, China, the hydrochemical characteristics and its evolution characters were obtained by the methods such as multivariate statistical approach and conventional graphical. The results showed that the concentrations of Na+ + K+ are higher in all groundwater samples, whereas the contents of Ca2+ and Mg2+ are lower. The concentrations of Na+ + K+ were decreasing as follows: limestone aquifer < quaternary aquifers < coal bearing aquifer. The chemical compositions of groundwater collected from three aquifer were varied obviously from 1997 to 2011. Three principle component factors could be extracted through statistical approach, PC1 was affirmed the dissolution of limestone, dolomite and gypsum dissolution. PC2 could be as the carbonation process or desulfurizing process, while PC3 indicated the weathering process of feldspar minerals weathering by the carbonate acid.

scholarly journals Analyzing the major ions and trace elements of groundwater wells in Kuala Langat, Selangor

2021 ◽  
Vol 17 (1) ◽  
pp. 56-61 ◽  
Author(s):  
Hazimah Haspi Harun ◽  
Mohamad Roslan M. K. ◽  
S. Nurhidayu ◽  
Zulfa Hanan Asha’ari ◽  
Faradiella Mohd Kusin
Keyword(s):  
Trace Elements ◽  
Major Ions ◽  
Principal Component ◽  
Water Source ◽  
High Concentration ◽  
Suitable Alternative ◽  
Groundwater Samples ◽  
Alternative Water ◽  
Iron Manganese ◽  
Groundwater Wells

The analysis of trace elements and major ions on groundwater wells in Kuala Langat become the aim of this paper for the purposes to investigate the quality of the groundwater to be considered as a suitable alternative water source for domestic purposes. The groundwater sampling was conducted in thirteen stations of groundwater wells. The groundwater samples were taken from the groundwater wells which scatter in agricultural areas in Kuala Langat, Selangor. The major ions parameters have analyzed in the groundwater samples were calcium, magnesium, potassium, bicarbonate, chloride, and sulfate (Ca2+, Mg2+, K+, Na+, HCO3 -, Cl-, SO4 2-). Meanwhile, the trace element parameters were aluminum, iron, manganese, strontium, zinc, and copper (Al, Fe, Mn, Sr, Zn, and Cu). Principal Component Analysis (PCA) was conducted to determine the influence of major ions and trace elements concentration in groundwater. Chloride, potassium, magnesium, strontium, calcium, and bicarbonate (Cl-, Na+, K+, Mg2+, Sr2+, Ca2+, and HCO3 -) were principal parameters in the first component of PCA analysis. The concentration of trace elements shows iron is the high concentration in groundwater samples. Hence, the concentration of iron in current sampling shows exceed the recommended level for raw water of the Ministry of Health. The influences from seawater intrusion and Sodium Adsorption Ratio (SAR) in groundwater also have been discussed.

Hydrochemistry of groundwater from loose layer aquifer system in northern Anhui Province, China: source of major ions and hydrological implications

2015 ◽  
Vol 10 (2) ◽  
pp. 269-276 ◽  
Author(s):  
Linhua Sun
Keyword(s):  
Major Ions ◽  
Anhui Province ◽  
Aquifer System ◽  
Ion Concentrations ◽  
Major Ion ◽  
Normality Test ◽  
Groundwater Samples ◽  
Domestic Use ◽  
Anderson Darling ◽  
Loose Layer

Groundwater from the loose layer aquifer system is important in northern Anhui Province, China, because it is an important water supplier for agriculture, industrial and domestic use. However, it is also a threat for the safety of coal mining. In this study, major ion concentrations of 43 groundwater samples from the loose layer aquifer system in Huaibei coalfield, northern Anhui Province, China have been measured and analyzed by EPA Unmix model for tracing their sources. The results suggest that they can be classified to be Na-Cl type according to their major ion concentrations. Statistical analysis (coefficients of variations and the Anderson–Darling normality test) indicates that more than one source is responsible for the major ions. Three sources have been identified by Umix model with different contributions for each sample, and the total dissolved solids contributed by the chloride, silicate-carbonate and sulfate sources are 10%, 47%, and 43%, respectively. The variations of contributions from the three sources for the samples probably relate to: (1) the inhomogeneity of mineral compositions and (2) the different locations (recharge or discharge) of the samples collected.

scholarly journals Hydrogeochemical Characterization and Vulnerability Assessment of Shallow Groundwater in Basement Complex Area, Southwest Nigeria

2018 ◽  
Vol 7 (1) ◽  
pp. 72-103 ◽  
Author(s):  
A.J. Adewumi ◽  
A.Y.B. Anifowose ◽  
F.O. Olabode ◽  
T.A. Laniyan
Keyword(s):  
Major Ions ◽  
Shallow Groundwater ◽  
Mean Value ◽  
Ionic Concentration ◽  
Water Type ◽  
High Concentration ◽  
Drastic Model ◽  
Groundwater Samples ◽  
Southwest Nigeria ◽  
Hydrogeochemical Characterization

Abstract Thirty-five (35) groundwater samples from Owo area were analyzed for physicochemical parameters. Results show that the mean value of pH is 6.32, TDS is 208.92 mg/l, temperature is 28.77°C, EC is 545.16 μs/cm; TH is 111.09 mg/l, SO4 is 71.73 mg/l, Cl is 0.07 mg/l, HCO3 is 14.09 mg/l, Na is 25.06 mg/l, Ca is 37.07 mg/l, K is 24.36 mg/l and Mg is 4.41 mg/l. The results were compared to the WHO and NDSQW standards. All parameters were within the permissible limit except EC in well OW6 and K is above the stipulated standards in 69% of the total samples. The high concentration of K is linked to the use of NPK fertilizer in the area for agricultural purposes. The groundwater belongs to Ca-Na-K-SO4 and Na-Ca-SO4 water type respectively. The ionic concentration in the groundwater is due to the dissolution of the rock that makes up the aquifer. Plagioclase and silicate-bearing rocks are the sources of major ions in the water. SAR, PI, RSBC and KR reveals that groundwater in the area is good for irrigation purpose. DRASTIC model further revealed that groundwater in the area is less vulnerable to contamination under the current environmental conditions.

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