Multivariate statistical analysis and 3D-coupled Markov chain modeling approach for the prediction of subsurface heterogeneity of contaminated soil management in abandoned Guryong Mine Tailings, Korea

Environmental Earth Sciences

Volumn 68, Issue 6, 2013, Pages 1527-1538

  Moon, Yonghee ^a   Zhang, Yong Seon ^a   Song, Yungoo ^b   Park, Eungyu ^c   Moon, Hi Soo ^b  

^a National Institute of Animal Science   (South Korea)

^b Yonsei University   (South Korea)

^c Kyungpook National University   (South Korea)

Author keywords

Cluster analysis; Gypsum; Jarosite; Principal component analysis; Pyrite

Indexed keywords

3D MODELING; ABANDONED MINES; AGRONOMY; CALCITE; CALCIUM CARBONATE; CLUSTER ANALYSIS; FACTOR ANALYSIS; FORECASTING; GEOLOGY; GYPSUM; HAZARDOUS MATERIALS; MARKOV CHAINS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PYRITES; SOIL POLLUTION; TAILINGS;

CATION EXCHANGE CAPACITIES; COUPLED MARKOV CHAINS; GEOLOGICAL MATERIALS; JAROSITES; MINERAL COMPOSITION; MULTIVARIATE STATISTICAL ANALYSIS; SUBSURFACE HETEROGENEITY; UNDERGROUND SYSTEMS;

CHEMICAL ANALYSIS;

CHEMICAL COMPOSITION; DATA SET; DATABASE; GYPSUM; HETEROGENEITY; MARKOV CHAIN; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; OXIDATION; POLLUTANT SOURCE; PREDICTION; PYRITE; SOIL MANAGEMENT; SOIL POLLUTION; SPATIAL DISTRIBUTION; TAILINGS; THREE-DIMENSIONAL MODELING;

GURYONG MINE; NORTH KYONGSANG; SOUTH KOREA;

EID: 84874346191     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-012-1846-1     Document Type: Article

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