American Society of Civil Engineers

Evaluation of Geostatistics for Combined Hydrochemistry and Microbial Community Fingerprinting at a Waste Disposal Site

by Paula J. Mouser, (Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT 05405) and Donna M. Rizzo, (Department of Civil and Environmental Engineering, University of Vermont, Burlington, VT 05405)
Section: Ground Water Issues Symposium, pp. 1-11, (doi:

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Conference Proceeding Paper
Part of: Critical Transitions in Water and Environmental Resources Management
Abstract: Traditional multivariate statistics and geostatistics were used to analyze groundwater hydrochemistry (alkalinity, Mn, Fe, Si, Al, Mg, NH4, Ca, K, Na, Cl, SO4, H2S, NO2, NO3, CH4, pH, DO, EC, and DOC) and microbial data (16S rDNA DGGE community profiles of Bacteria and Archaea) previously collected from a landfill leachate contaminated aquifer. Variograms and cross-variograms developed for principal components formed from hydrochemistry and rDNA correlation matrices showed spatial correlation between 30m–55m. Kriged principal components indicate the combination of hydrochemistry and Bacteria data may provide better estimates for unknown locations, particularly along the boundary of the plume. The principal components between these two types of data appear to complement each other, as hydrochemistry PC1 appears to separate sample locations vertically and Bacteria PC1 separates sample locations horizontally. These combined data with a multivariate-geostatistical approach may be useful for delineating leachate contaminated zones at waste disposal sites and provide managers with better estimates of risk at unknown locations.

ASCE Subject Headings:
Chemical properties
Groundwater management
Waste disposal