Responding to the Smallest Consequential Quantity of Soil Contamination
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 23, Issue 2
Abstract
Contamination in an abundance that is sufficient to threaten human health or the environment is herein termed consequential contamination. Both intuition and the precautionary principle support the need for a diligent sampling effort to ensure appropriate action is taken when consequential contamination is present. However, the most common approach to sample plan design inherently assumes the absence of discovered contamination is sufficient evidence to conclude the absence of consequential contamination. This assumption is indefensible if it can be reasoned that consequential contamination might exist between sampling locations. It is prudent that both soil characterization and rules for decision making minimally provide an acceptable chance of responding to the reasonably conceivable smallest consequential quantity of contamination. A conceptual model for a smallest consequential quantity of contamination is defined by a probability density function and an area-fraction function. Use of these functions to evaluate and prepare sample plan designs is demonstrated. The discussion presents the method’s value, concerns, and limitations.
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Acknowledgments
Chuck Ramsey’s valuable review comments, including recommending the need to discuss sample support in the context of its effect on the SCF, is gratefully acknowledged. Also, Dr. Geoff Lyman independently modeled several conditions presented in Table 1, thereby providing the author a means to check the included values. His effort is greatly appreciated.
References
Brewer, R., J. Peard, and M. Heskett. 2016. “A critical review of discrete soil sample data reliability. Part 1: Field study results.” Soil Sediment Contam. Int. J. 26 (1): 1–22. https://doi.org/10.1080/15320383.2017.1244171.
Englund, E. J. 1987. “Spatial autocorrelation: Implications for sampling and estimation.” In Proc., American Statistical Association/Environmental Protection Agency Conf. on Interpretation of Environmental Data. III: Sampling and Site Selection in Environmental Studies. Las Vegas: U.S. Environmental Protection Agency.
Freestone, D., and E. Hey. 1996. Vol. 31 of The precautionary principle and international law: The challenge of implementation. Boston: Kluwer Law International.
Gemperline, M. C. 1999. “Composite and discrete sampling as redundant efforts.” Environ. Test. Anal. 8 (6): 8–18.
Gemperline, M. C. 2016. “Limiting site soil characterization to consequential contamination.” In Vol. 22 of Proc., 2016 AEHS Foundation Annual Int. Conf., 79–94. Amherst, MA: Association for Environmental Health and Sciences Foundation.
Gilbert, R. O. 1987. Statistical methods for environmental pollution monitoring. New York: Wiley.
Jenkins, T. F., A. D. Hewitt, M. E. Walsh, T. A. Ranney, C. A. Ramsey, C. L. Grant, and K. L. Bjella. 2005. “Representative sampling for energetic compounds at military training ranges.” Environ. Forensics 6 (1): 45–55. https://doi.org/10.1080/15275920590913912.
Kriebel, D., J. Tickner, P. Epstein, J. Lemons, R. Levins, E. L. Loechler, M. Quinn, R. Rudel, T. Schettler, and M. Stoto. 2001. “The precautionary principle in environmental science.” Environ. Health Perspect. 109 (9): 871. https://doi.org/10.1289/ehp.01109871.
USEPA. 1989a. Ecological assessment of hazardous waste sites: A field and laboratory reference. Washington, DC: Office of Emergency and Remedial Response.
USEPA. 1989b. Risk assessment guidance for superfund. Volume I: Human health evaluation manual (part A): Interim final. Washington, DC: Office of Emergency and Remedial Response.
USEPA. 1992. Guidelines for exposure assessment. Washington, DC: Office of Emergency and Remedial Response.
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©2019 American Society of Civil Engineers.
History
Received: Sep 25, 2017
Accepted: Sep 19, 2018
Published online: Jan 30, 2019
Published in print: Apr 1, 2019
Discussion open until: Jun 30, 2019
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