PL EN
APPLICATION OF HYDROCHEMISTRY FOR INRUSH WATER SOURCE IDENTIFICATION IN COAL MINE: APPROACH BASED ON STATISTICAL ANALYSIS
 
 
 
Więcej
Ukryj
1
School of Resources and Civil Engineering, National Engineering Research Center of Coal Mine Water Hazard Controlling, Anhui 234000, China
 
 
Autor do korespondencji
Linhua Sun   

School of Resources and Civil Engineering, National Engineering Research Center of Coal Mine Water Hazard Controlling, Anhui 234000, China, 49# Bianhe Road, Suzhou City, Anhui Province, China, 234000 Suzhou, China
 
 
Mining Science 2018;25:115-124
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
The source of chemical constituents in the groundwater and the source of inrush water are two important issues related to the hydrochemical evolution and safety of coal mining in coalfield of China, respectively. In this study, major ion concentrations of thirty-four groundwater samples from three representative aquifers in northern Anhui province, China have been analyzed by a series of statistical methods for tracing the sources of major ions and inrush water. The differences of major ion concentrations in groundwater from different aquifers indicate that they have undergone different types and degrees of water rock interactions, and provide the possibility for water source identification based on major ions. Factor analysis has identified two potential sources responsible for the major ion concentrations of the groundwater, including dissolution of carbonates and evaporates and the weathering of silicate minerals, which was further confirmed by the Unmix model analysis. Discriminant analysis can classify the sources of groundwater with high efficiency, similar to the results obtained based on the source contributions of the Unmix model analysis. In summary, different with those of factor and discriminant analysis, the Unmix model analysis can provide information about source of major ions and water simultaneously.
 
REFERENCJE (20)
1.
AI J.C., WANG N., YANG J., 2014, Source apportionment of soil heavy metals in Jiapigou goldmine based on the UNMIX model, Environmental Science, 35 (9), 3530–3536.
 
2.
ALMASOUD F.I., USMAN A.R., AL-FARRAJ A.S., 2015, Heavy metals in the soils of the Arabian Gulf coast affected by industrial activities: analysis and assessment using enrichment factor and mul-tivariate analysis, Arabian Journal of Geosciences, 8 (3), 1691–1703.
 
3.
CHEN H.J., LI X.B., LIU A.H., 2009, Studies of water source determination method of mine water inrush based on Bayes’ multi-group stepwise discriminant analysis theory, Rock and Soil Mechanics,.
 
4.
30 (12), 3655–3659.
 
5.
GERANIAN H., TABATABAEI S.H., ASADI H.H., CARRANZA E.J.M., 2016, Application of discri-minant analysis and support vector machine in mapping gold potential areas for further drilling in the Sari-Gunay Gold Deposit, NW Iran, Natural Resources Research, 25 (2), 145–159.
 
6.
GUI H.R., YAO E.Q., SONG X.M., YUAN Z.H., ZHANG G., 2011, Research on Recycling Technology of CoalmineWater, China University of Mining and Technology Press, Xuzhou.
 
7.
LANG Y.H., YANG W., 2014, Source apportionment of PAHs using Unmix model for Yantai costal surface sediments, China, Bulletin of Environmental Contamination and Toxicology, 92 (1),.
 
8.
30–35.
 
9.
LEWIS C.W., NORRIS G.A., CONNER T.L., HENRY R.C., 2003, Source apportionment of Phoenix PM2. 5 aerosol with the Unmix receptor model, Journal of the Air & Waste Management Association, 53 (3), 325–338.
 
10.
LIU C.W., LIN K.H., KUO Y.M., 2003, Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan, Science of the Total Environment, 313 (1), 77–89.
 
11.
LIU X.H., SUN L.H., 2015, Chemical variations of groundwater in coal bearing aquifer in northern Anhui Province, China: study based on Unmix model and major ions, Electronic Journal of Geotech-nical Engineering, 20 (15), 6549–6557.
 
12.
LVOVITCH M.I., 1970, World water balance (general report), World Water Balance: Proceedings of the Reading Symposium.
 
13.
SUN L.H., 2014, Statistical analysis of hydrochemistry of groundwater and its implications for water source identification: a case study, Arabian Journal of Geosciences, 7 (9), 3417–3425.
 
14.
SUN L.H., GUI H.R., 2012, Establishment of water source discrimination model in coal mine by using hydrogeochemistry and statistical analysis: a case study from Renlou Coal Mine in northern Anhui Province, China, Journal of Coal Science and Engineering (China), 18 (4), 385–389.
 
15.
SUN L.H., GUI H.R., 2015, Hydro-chemical evolution of groundwater and mixing between aquifers:.
 
16.
a statistical approach based on major ions, Applied Water Science, 5 (1), 97–104.
 
17.
ROMIC M., ROMIC D., 2003, Heavy metals distribution in agricultural topsoils in urban area, Envi-ronmental Geology, 43 (7), 795–805.
 
18.
SARKAR D., DATTA R., HANNIGAN R., 2007, Concepts and applications in environmental geochem-istry, Elsevier, Netherlands.
 
19.
WU Q., ZHAO Q., SUN W.J., CUI F.P., WU C., 2013, Classification of the hydrogeological type of coal mine and analysis of its characteristics in China, Journal of China Coal Society, 38 (6), 901–905.
 
20.
ZHANG Y., GUO C.S., XU J., TIAN Y.Z., SHI G.L., FENG Y.C., 2012, Potential source contributions and risk assessment of PAHs in sediments from Taihu Lake, China: comparison of three receptor models, Water Research, 46 (9), 3065–3073.
 
eISSN:2353-5423
ISSN:2300-9586
Journals System - logo
Scroll to top