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Optimal Cost‐Effective Sampling for Monitoring and Dredging of Contaminated Sediments
Author(s) -
Winkels H. J.,
Stein A.
Publication year - 1997
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq1997.00472425002600040003x
Subject(s) - dredging , environmental science , contamination , sediment , sedimentation , pollutant , sampling (signal processing) , pollution , environmental engineering , hydrology (agriculture) , geology , oceanography , ecology , geotechnical engineering , computer science , paleontology , filter (signal processing) , computer vision , biology
We used spatial statistics to study variability within contaminated sediments of three zones in Lake Ketelmeer in the Netherlands. Attention focused on the copper (Cu) and benzo(A)pyrene (BAP) content of the contaminated layer, its thickness, and related clay and organic matter (OM) contents. Optimal sampling distances for monitoring aquatic pollutants and the thickness of the contaminated layer in the sediments were estimated taking spatial variability into account. These distances depend on water depth, sedimentation, erosion, shipping activities, and types of sediment. In 40% of the study area, the thickness of the contaminated layer can be surveyed at a grid spacing that is 18 times as wide as that needed in harbors, near shores, and shipping routes to achieve the same accuracy. A new optimizing and cost‐effective method for accurate aquatic monitoring is suggested as a preliminary step to the removal of contaminants in the future.