Abstract

HUANG, Pinghua  and  HAN, Sumin. Assessment by multivariate analysis of groundwater-surface water interactions in the Coal-mining Exploring District, China. Earth Sci. Res. J. [online]. 2016, vol.20, n.1, pp.1-8. ISSN 1794-6190.  https://doi.org/10.15446/esrj.v20n1.37601.

This paper applies for cluster analysis and factor analysis theory to statistically analyze environmental isotope (δ¹⁸O,δ²H, 3H, ¹⁴C) and water chemistry (K⁺, Na⁺, Ca2⁺, Mg2⁺, HCO3 -, SO₄^2-, Cl^-) test data from different water bodies in the coal-mining exploring district. The result shows that groundwater can be clustered into four categories, namely GA, GB, GC and GD classes. Deep karst groundwater and spring were grouped into GA class, and the contour map of the second-factor scores shows that karst water and spring of the GA group is in the same area, indicating the same recharging source from the northern mountainous area. Deep fissure water was clustered into GC class with the lowest second-factor scores, and cation exchange plays a central role, then did not detect tritium with 14C of lower levels, indicating the late Pleistocene rainfall recharging. Shallow pore water and surface water were clustered into GB class with the high third factors scores, indicating surface water leakage recharging. The water samples of GD class have the highest three factors score, pointing out that the shallow pore water and surface water were polluted. The results of this study provide a scientific basis for assessing groundwater circulation mechanism in the coal-mining exploring district.

Keywords : Cluster analysis; factor analysis; isotope geochemistry; groundwater circulation; coal mining district.

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