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

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.

2012 ◽  
Vol 212-213 ◽  
pp. 362-365 ◽  
Author(s):  
Lin Hua Sun ◽  
He Rong Gui

Major ion concentrations of twenty groundwater samples from two deep seated aquifers (coal bearing-GC and limestone-LC) are analyzed for identify the differences between them and the source of ions. The results suggest that they are moderate to highly mineralized water with their average TDS values are 2444 (GC) and 1178 (LC) mg/L. LCs show lower Na but much higher Ca and Mg concentrations relative to GCs. Saturation indexes and principle component analysis, as well as mole ratios between Na and Cl, Ca and SO4, Ca and HCO3 indicate that they have multi sources with incorporation of halite and albite for Na, calcite, dolomite and gypsum for Ca, pyrite and gypsum for SO4.


2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Kai Chen ◽  
Linhua Sun ◽  
Jiying Xu

AbstractHydrochemistry of groundwater is important in coal mines because it can be used for understanding water–rock interaction and inrush water source identification. In this study, major ion concentrations of groundwater samples from the loose layer aquifer (LA), coal-bearing aquifer (CA) and Taiyuan Formation limestone aquifer (TA) in the Qingdong coal mine, northern Anhui province, China, have been analyzed by a series of statistical methods for identifying the source of chemical constituents in groundwater and the source of inrush water. The results indicate that the mean concentration of the major ions in the LA were ordered as follows: HCO3− > SO42− > Na+ + K+  > Cl− > Ca2+ > Mg2+ > CO32−, whereas average values of the CA in decreasing order are SO42−, Na+ + K+, HCO3−, Cl−, Ca2+, Mg2+ and CO32−, and the major ion concentrations of the TA have the following order: SO42− > Na+ + K+ > Ca2+  > HCO3− > Cl− > Mg2+ > CO32−, and most of the samples are Na-SO4 and Ca-SO4 types. TDS content in water increases with aquifer depth, whereas the pH values ranged from 7.1 to 8.9, indicating a weak alkaline environment. Two sources (weathering of silicate minerals and dissolution of evaporate minerals) have been identified by principal component analysis responsible for the chemical variations of the groundwater, and their contribution ratios have been quantified by Unmix model. Moreover, based on the Q-mode cluster and discriminant analyses, the samples with known sources have been identified correctly to be 95.7% and 97.6%, respectively, and the samples with unknown sources have been determined with high probability (78–100%).


2019 ◽  
Vol 19 (5) ◽  
pp. 1572-1578 ◽  
Author(s):  
Huili Qiu ◽  
Herong Gui ◽  
Lin Cui ◽  
Zhenggao Pan ◽  
Biao Lu

Abstract Major ion and trace element concentrations in shallow groundwater of Linhuan coal-mining district, Northern Anhui Province, China, were analyzed to determine its hydrogeochemical characteristics and to assess drinking and irrigation water quality. The relative abundance of cations and anions was Na+ > Mg2+ > Ca2+ > K+, and HCO3− > SO42− > Cl− > NO3−, respectively. The concentrations of Na+, HCO3−, NO3−, and total dissolved solids (TDS), and the electric conductivity (EC) values in some samples were higher than the permissible limits of the Water Health Organization (WHO). Gibbs diagrams showed that rock weathering mainly controlled the major ion chemistry of the groundwater, and the first aquifer of this study area had a weak hydraulic connection with atmospheric precipitation. The calculated sodium percentage (%Na) and sodium adsorption ratio (SAR) revealed that the slight sodium and high salinity hazards needed to be controlled before irrigation. According to the fuzzy comprehensive assessment, the groundwater samples were classified into four categories. The results showed that 92.86% of the groundwater samples were suitable for drinking use. For human health, the NO3− and Mn levels in the groundwater should be reduced before drinking, and treatment of the high salinity hazards is required before irrigation.


2016 ◽  
Vol 11 (2) ◽  
pp. 448-458 ◽  
Author(s):  
Linhua Sun ◽  
Song Chen ◽  
Herong Gui

Water source identification is important for water hazard controlling in coal mines. In this study, major ion concentrations of the groundwater collected from four representative aquifer systems in the Baishan coal mine, northern Anhui Province, China, have been analysed by a series of statistical methods. The results indicate that the major ion concentrations of the groundwater from different aquifer system are different with each other, and provided the possibility of water source identification based on hydrochemistry. Factor analysis indicates that these differences are controlled by different types of water rock interactions. The analysis based on US Environmental Protection Agency (EPA) Unmix model identified three sources (weathering of silicate minerals, dissolution of carbonate and evaporate minerals) responsible for the hydrochemical variations of the groundwater. Also, it shows that their contributions for the groundwater in different aquifer systems vary considerably. Based on these variations and on step by step analysis, the source aquifer system for the groundwater samples with unknown source has been determined and, similar to the result obtained by the cluster and discriminant analysis. Therefore, EPA Unmix model can be applied for water source identification in coal mine, as it can provide information about water rock interaction and water source identification simultaneously.


2020 ◽  
Vol 1 (3) ◽  
pp. 141-149
Author(s):  
Kamran Pazand ◽  
Kaveh Pazand

Purpose The chemical analysis of wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. The purpose of this study is to analyze the hydrochemical quality of groundwater in Ardabil aquifer in order to assess the suitability of the waters for different uses. Design/methodology/approach The chemical analysis of 75 water wells in the Ardabil area, was evaluated. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation. Findings The chemical analysis of 75 water wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation. Originality/value The chemical analysis of 75 water wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation.


2015 ◽  
Vol 10 (4) ◽  
pp. 777-786 ◽  
Author(s):  
Linhua Sun ◽  
Xianghong Liu ◽  
Chen Cheng

Quality of water in the subsidence area related to coal mining is important for water usage in the coal mining areas. In this study, forty-two samples from the subsidence pools in the Luling coal mine, northern Anhui Province, China have been collected and measured for their major ion concentrations, and the data have been applied for quality evaluating of drinking and irrigation purposes. The results suggest that the water samples from different pools have different concentrations of major ions and all of them can be classified to be Na-HCO3 type. According to the results of water quality index, all of them are suitable for drinking (considering only about the major ion concentrations). However, sodium absorption ratio (SAR) and residual sodium carbonate (RSC) give different answers about irrigation purpose, the water can be used for irrigation according to SAR whereas cannot be used according to RSC, and can be attributed to the high concentrations of CO32− and HCO3−. Gibbs diagrams and relationships between Na+ normalized Ca2+, Mg2+ and HCO3− suggest that different extents of contributions from weathering of silicate, dissolution of carbonates and evaporates are the main mechanism controlling the major ion concentrations of water from the subsidence areas in this study, which is related to the natural conditions of the pools.


2014 ◽  
Vol 9 (1) ◽  
pp. 95-103 ◽  
Author(s):  
He Rong Gui

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.


1994 ◽  
Vol 25 (5) ◽  
pp. 371-388 ◽  
Author(s):  
D. L. Naftz ◽  
P. F. Schuster ◽  
M. M. Reddy

One hundred samples were collected from the surface of the Upper Fremont Glacier at equally spaced intervals defined by an 8,100 m2 snow grid to assess the significance of lateral variability in major-ion concentrations and del oxygen-18 values. For the major ions, the largest concentration range within the snow grid was sodium (0.5056 mg/l) and the smallest concentration range was sulfate (0.125 mg/l). Del oxygen-18 values showed a range of 7.45 per mil. Comparison of the observed variability of each chemical constituent to the variability expected by measurement error indicated substantial lateral variability within the surface-snow layer. Results of the nested ANOVA indicate most of the variance for every constituent is in the values grouped at the two smaller geographic scales (between 506 m2 and within 506 m2 sections). Calcium and sodium concentrations and del oxygen-18 values displayed the largest amount of variance at the largest geographic scale (between 2,025 m2 sections) within the grid and ranged from 14 to 26 per cent of the total variance. The variance data from the snow grid were used to develop equations to evaluate the significance of both positive and negative concentration/value peaks of nitrate and del oxygen-18 with depth, in a 160 m ice core. Solving the equations indicates that both the nitrate and del oxygen-18 ice-core profiles have concentration/value trends that exceed the limits expected from lateral variability. Values of del oxygen-18 in the section from 110-150 m below the surface consistently vary outside the expected limits and possibly represents cooler temperatures during the Little Ice Age from about 1810 to 1725 A.D.


2012 ◽  
Vol 524-527 ◽  
pp. 604-607
Author(s):  
Lin Hua Sun ◽  
He Rong Gui ◽  
Man Li Lin

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.


2016 ◽  
Vol 57 (71) ◽  
pp. 282-288 ◽  
Author(s):  
Hao Xu ◽  
Shugui Hou ◽  
Hongxi Pang ◽  
Chaomin Wang

AbstractCorrelations between a 1000 year record of the major ions in a 108.83 m ice core from East Rongbuk Glacier (28°01’N, 86°58’E; 6518ma.s.l.) on the northeast slope of Qomolangma (Mount Everest) and the Southern Oscillation Index (SOI) were examined to investigate possible links between the ice-core records of the southern Tibetan Plateau (TP) and El Niño Southern Oscillation (ENSO). The results show that years with the highest crustal ion concentrations and lowest marine ion concentrations corresponded with a low SOI, and vice versa. Cross wavelet and wavelet coherence analysis between major ion time series and the SOI indicated that there were significant sections with high common power between the major ion time series and the SOI, suggesting a correlation between the ion records of the Qomolangma ice core and ENSO. Further investigation indicated that the higher SOI years corresponded with weaker continental air masses and stronger south Asian monsoons over the southern TP, leading to increased marine ions and decreased continental ions transported to the southern TP. The in-phase surface pressure anomalies of the southern TP and Darwin, Australia, link ENSO and ion transport over the southern TP, and thus suggest a link between aerosol transport over the southern TP and ENSO.


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