TY - JOUR
T1 - Hydrochemical and multivariate statistical interpretations of spatial controls of nitrate concentrations in a shallow alluvial aquifer around oxbow lakes (Osong area, central Korea)
AU - Kim, Kyoung Ho
AU - Yun, Seong Taek
AU - Choi, Byoung Young
AU - Chae, Gi Tak
AU - Joo, Yongsung
AU - Kim, Kangjoo
AU - Kim, Hyoung Soo
N1 - Funding Information:
This work was supported by a research fund (R01-2007-000-20964-0) that was provided from Korea Science and Engineering Foundation (KOSEF). The initial stage of field campaigns for this study was also supported by K-Water Corporation (formerly, Korea Water Resources Corporation). The authors would like to thank many graduate students in the Applied Geochemistry Lab of Korea University for their assistance in field sampling and laboratory works. Comments by Dr. B. Mayer (University of Calgary) on a draft version of this manuscript helped to improve this paper. This paper was also significantly clarified and improved by constructive comments from Dr. Steven R. Silva (USGS), Dr. David A. Sabatini (Editor-in Chief), and an anonymous reviewer.
PY - 2009/7/21
Y1 - 2009/7/21
N2 - Hydrochemical and multivariate statistical interpretations of 16 physicochemical parameters of 45 groundwater samples from a riverside alluvial aquifer underneath an agricultural area in Osong, central Korea, were performed in this study to understand the spatial controls of nitrate concentrations in terms of biogeochemical processes occurring near oxbow lakes within a fluvial plain. Nitrate concentrations in groundwater showed a large variability from 0.1 to 190.6 mg/L (mean = 35.0 mg/L) with significantly lower values near oxbow lakes. The evaluation of hydrochemical data indicated that the groundwater chemistry (especially, degree of nitrate contamination) is mainly controlled by two competing processes: 1) agricultural contamination and 2) redox processes. In addition, results of factorial kriging, consisting of two steps (i.e., co-regionalization and factor analysis), reliably showed a spatial control of the concentrations of nitrate and other redox-sensitive species; in particular, significant denitrification was observed restrictedly near oxbow lakes. The results of this study indicate that sub-oxic conditions in an alluvial groundwater system are developed geologically and geochemically in and near oxbow lakes, which can effectively enhance the natural attenuation of nitrate before the groundwater discharges to nearby streams. This study also demonstrates the usefulness of multivariate statistical analysis in groundwater study as a supplementary tool for interpretation of complex hydrochemical data sets.
AB - Hydrochemical and multivariate statistical interpretations of 16 physicochemical parameters of 45 groundwater samples from a riverside alluvial aquifer underneath an agricultural area in Osong, central Korea, were performed in this study to understand the spatial controls of nitrate concentrations in terms of biogeochemical processes occurring near oxbow lakes within a fluvial plain. Nitrate concentrations in groundwater showed a large variability from 0.1 to 190.6 mg/L (mean = 35.0 mg/L) with significantly lower values near oxbow lakes. The evaluation of hydrochemical data indicated that the groundwater chemistry (especially, degree of nitrate contamination) is mainly controlled by two competing processes: 1) agricultural contamination and 2) redox processes. In addition, results of factorial kriging, consisting of two steps (i.e., co-regionalization and factor analysis), reliably showed a spatial control of the concentrations of nitrate and other redox-sensitive species; in particular, significant denitrification was observed restrictedly near oxbow lakes. The results of this study indicate that sub-oxic conditions in an alluvial groundwater system are developed geologically and geochemically in and near oxbow lakes, which can effectively enhance the natural attenuation of nitrate before the groundwater discharges to nearby streams. This study also demonstrates the usefulness of multivariate statistical analysis in groundwater study as a supplementary tool for interpretation of complex hydrochemical data sets.
KW - Factorial kriging
KW - Hydrochemistry
KW - Oxbow lake
KW - Redox control of agricultural contaminants
KW - Shallow alluvial aquifer
KW - Spatial variation of nitrate
UR - http://www.scopus.com/inward/record.url?scp=67649202170&partnerID=8YFLogxK
U2 - 10.1016/j.jconhyd.2009.04.007
DO - 10.1016/j.jconhyd.2009.04.007
M3 - Article
C2 - 19524319
AN - SCOPUS:67649202170
SN - 0169-7722
VL - 107
SP - 114
EP - 127
JO - Journal of Contaminant Hydrology
JF - Journal of Contaminant Hydrology
IS - 3-4
ER -