Water Source Discrimination in a Multiaquifer Mine Using a Comprehensive Stepwise Discriminant Method

2021 ◽  
Author(s):  
Chunlu Jiang ◽  
Yanqing An ◽  
Liugen Zheng ◽  
Wangwang Huang
Keyword(s):  
Water Source ◽  
Source Discrimination

Identification of Hydro-Geochemical Processes in Groundwater by Using Major Ion Chemistry: A Case Study

2013 ◽  
Vol 726-731 ◽  
pp. 3424-3428
Author(s):  
Lin Hua Sun
Keyword(s):  
Coal Mine ◽  
Water Source ◽  
Geochemical Processes ◽  
Ion Chemistry ◽  
High Concentration ◽  
Source Discrimination ◽  
Chemical Systems ◽  
Major Ion ◽  
Groundwater Samples ◽  
The Operating Mechanism

Hydro-geochemistry is important for water disaster controlling as it can be used for either understanding of hydrological evolution or water source discrimination. Groundwater samples from the sandstone aquifer in Xutuan coal mine, northern Anhui Province, China have been collected for major ion chemical analysis to understand the operating mechanism of geochemical processes for variation of groundwater chemistry, which will be useful for improving the understanding of hydro-chemical systems in coal mine. The results suggest that they are medium to slightly (6.8 to 8.64 with an average of 7.61) with high concentration of total dissolved solids (943 and 1362 mg/L with mean of 1171 mg/L)). Most of the groundwater samples are classified as Na- HCO3-Cl and Na-Cl- HCO3 types according to their relative concentrations of cations and anions. Correlation between ion concentrations, as well as principle component analysis imply that dissolution of dolomite, halite, gypsum, silicate weathering and ion exchange are responsible for the chemical variations of the groundwater.

Application of Rare Earth Elements for Water Source Discrimination in Renlou Coal Mine, Northern Anhui Province, China

2011 ◽  
Vol 99-100 ◽  
pp. 1195-1198
Author(s):  
Lin Hua Sun
Keyword(s):  
Rare Earth ◽  
Coal Mine ◽  
Earth Element ◽  
Water Source ◽  
Wall Rock ◽  
Anhui Province ◽  
Rock Composition ◽  
Source Discrimination ◽  
Limestone Aquifer ◽  
Limestone Aquifers

Rare earth element (REEs) concentrations were measured for groundwater and wall rock samples from two aquifers (sandstone and limestone aquifers) in Renlou coal mine, northern Anhui Province, China. The results indicate that groundwater from these two aquifers are rich in REEs as expressed by their Nd concentrations (0.012 and 0.008 μg/L). They all show heavy REEs enrichment with low NdRN/YbRN ratios (0.35 and 0.40) when normalized to their aquifer rocks. Y- Ho fractionation are only observed for groundwater from limestone aquifer with high Y/Ho ratio (97 in average), whereas groundwater from sandstone aquifer have low Y/Ho ratios (24 in average). The former is considered to be related to the release of Y and Ho from calcite with different partition coefficient. The similarity of some REEs between groundwater and aquifer rock, as well as the different rock composition of aquifers, provide possibility for discrimination of water sources by using REEs, and Y/Ho ratios and Eu anomalies are expected to be useful in Renlou coal mine.

Trace Metal Concentrations in Deep Groundwater in Renlou Coal Mine, Northern Anhui Province, China

2012 ◽  
Vol 209-211 ◽  
pp. 1952-1955
Author(s):  
Lin Hua Sun
Keyword(s):  
Coal Mine ◽  
Water Source ◽  
Anhui Province ◽  
Metal Concentrations ◽  
Source Discrimination ◽  
Drinking Water Standard ◽  
Groundwater Samples ◽  
Icp Ms ◽  
Limestone Aquifers ◽  
Different Sources

Concentrations of six types of metals (including Cr, Co, Ni, Cu, Zn and Pb) in twelve groundwater samples from two different aquifers (coal bearing and limestone aquifers) in Renlou coal mine in northern Anhui Province, China have been analyzed by using ICP-MS and processed by statistical analysis for tracing their sources. The results indicate that the concentrations of metals are as follows: Cu(6.68 mg/L)> Cr(2.39 mg/L)> Ni(1.03 mg/L)> Zn(0.882 mg/L)> Co(0.569 mg/L)> Pb(0.116 mg/L). Concentrations of Cr, Ni, Cu and Pb are several times (47.8, 51.5, 3.3 and 8.0, respectively) higher than the drinking water standard of WHO, and indicating that these groundwater cannot be used for drinking directly. Two components (eigenvalues higher than one) have been obtained by using factor analysis with a total variance explanation of 88.7%, and two sources for metals in the groundwater have been identified that Cr-Cu and Co-Ni-Pb are originated from different sources. Moreover, the differences of metal concentrations between groundwater in these two aquifers suggest that they can be used for water source discrimination.

scholarly journals Generative adversarial nets in laser-induced fluorescence spectrum image recognition of mine water inrush

2019 ◽  
Vol 15 (10) ◽  
pp. 155014771988489 ◽  
Author(s):  
Jing Li ◽  
Yong Yang ◽  
Hongmei Ge ◽  
Yong Wang ◽  
Li Zhao
Keyword(s):  
Fluorescence Spectrum ◽  
Water Inrush ◽  
Water Source ◽  
Laser Induced Fluorescence ◽  
Source Discrimination ◽  
Discrimination Ability ◽  
Severe Accidents ◽  
Auto Correlation ◽  
Feature Difference ◽  
Discrimination Method

Water inrush occurred in mines, threatens the safety of working miners which triggers severe accidents in China. To make full use of existing distinctive hydro chemical and physical characteristics of different aquifers and different water sources, this article proposes a new water source discrimination method using laser-induced fluorescence technology and generative adversarial nets. The fluorescence spectrum from the water sample is stimulated by 405-nm lasers and improved by recursive mean filtering method to alleviate interference and auto-correlation to enhance the feature difference. Based on generative adversarial nets framework and improved spectra features, the article proposes a novel water source discrimination-generative adversarial nets model in mines to solve the problem of data limitation and improve the discrimination ability. The results show that the proposed method is an effective method to distinguish water inrush types. It provides a new idea to discriminate the sources of water inrush in mines timely and accurately.

Mine Water Source Discrimination Based on Hydrogeochemical Characteristics in the Northern Ordos Basin, China

2020 ◽  
Author(s):  
Jian Yang ◽  
Shuning Dong ◽  
Hao Wang ◽  
Guoqing Li ◽  
Tiantian Wang ◽  
...  
Keyword(s):  
Mine Water ◽  
Ordos Basin ◽  
Water Source ◽  
Source Discrimination

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.

Cue Asymmetry in Source Discrimination Versus Item Recognition

2004 ◽  
Author(s):  
Ian Dobbins ◽  
Daniel McCarthy ◽  
Sanghoon Han
Keyword(s):  
Item Recognition ◽  
Source Discrimination ◽  
Versus Item

Aplikasi metode tahanan jenis dalam studi geologi karst Gua Seropan di Gunung Kidul, Yogyakarta

2017 ◽  
Vol 12 (2) ◽  
pp. 105-116
Author(s):  
Pulung A. Pranantya ◽  
Nurlia Sadikin
Keyword(s):  
Fresh Water ◽  
Ground Surface ◽  
Water Source ◽  
Raw Water ◽  
Limited Information ◽  
Resistivity Method ◽  
Central Java ◽  
Underground River ◽  
Initial Exploration

In terms of geology, most areas in south of the Gunungkidul District in Central Java consist of the Wonosari formation limestone. The land is generally very dry and source of raw water is also difficult to reach. Findings on the existence of underground river in caves, however, indicate the potential amount of water within the area, especially in the eastern part of the Gunungkidul District. Although limited information available, some fishermen have discovered that Seropan cave contains fresh water source. This cave is situated at 65 m below the cliff. Initial exploration, which done using a multichannel resistivity method, confirmed the availability of freshwater in the cave and underground river. The isopach of cave depth is found in ranges of 80 200 m below the ground surface. The water of Seropan cave can be utilized by implementing pipeline or by drilling at the suggested point based on the interpretation results, i.e. 110o2223.6388 EL 8o42.874 SL. [DY1][PP2][DY1]Perbaiki grammarIn terms of geology, most areas in south of Gunungkidul District in Central Java consist of the Wonosari formation limestone. The land is generally very dry and source of raw water is also difficult to reach. Findings on the exixtence of underground river in caves, however, indicate potential amount of water within the area especially in eastern part of Gunungkidul District. Although limited information available, some fishermans has discovered that Seropan cave contain fresh water source. This cave is situated at 65 m below the cliff. Initial exploration, which done using multichannel resistivity method, confirmed the availability of freshwater in the cave and underground river. The iso pach of cave depth is found in ranges of 80 200 m below the ground surface. The water of Seropan cave can be utilized by implementing pipeline or by drilling at the suggested point based on the interpretation results i.e. 110o2223.6388 EL 8o42.874 SL.[PP2]Sudah diperbaiki

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