Geostatistical modeling and mapping of sediment contaminant concentrations

Kandiah Ramanitharan, Laura J. Steinberg, Gerhard Piringer

Research output: Chapter in Book/Entry/PoemChapter

4 Scopus citations


This paper demonstrates the application of geostatistical modeling techniques to the quantification of Aroclors and heavy metals in Hudson and Duwamish river sediments, respectively. The objective was to compare models and modeling parameters between contaminants and sites, as well as to investigate a modeling modification that may accomodate curved river segments. Gaussian, exponential and spherical variograms were used to model micro-scale spatial correlations, and ordinary kriging and simple kriging were used as interpolation techniques. The major macro-anisotropy direction paralleled the river flow at both sites. The macro-anisotropy ratio was comparable between Aroclors, but varied between the metals. Comparable results for Aroclors could be due to similar physico-chemical properties governing fate and transport processes. Generally, spherical and exponential variograms fitted the data better than Gaussian variograms at both sites. With the exception of comparable micro-anisotropy parameters between the Aroclors, variogram parameters varied between contaminants and sites. Subdividing curved river segments and modeling the reaches separately did not improve predictions. Expanding the study to other types of water bodies and research into the use of co-kriging promises further insights.

Original languageEnglish (US)
Title of host publicationContaminated Soils, Sediments and Water
PublisherSpringer US
Number of pages19
ISBN (Print)038723036X, 9780387230368
StatePublished - 2005
Externally publishedYes


  • Contaminated Sediments
  • GIS
  • Geostatistics
  • Hotspots
  • River

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences


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