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Geology topics

E. L. Inkpen

Publications and source records attributed to E. L. Inkpen.

5 recordsLinked to original sources

Forensic applications of nitrogen and oxygen isotopes in tracing nitrate sources in urban environments

Ground and surface waters in urban areas are susceptible to nitrate contamination from septic systems, leaking sewer lines, and fertilizer applications. Source identification is a primary step toward a successful remediation plan in affected areas. In this respect, nitrogen and oxygen isotope ratios of nitrate, in conjunction with hydrologic data and water chemistry, have proven valuable in urban studies from Austin, Texas, and Tacoma, Washington. In Austin, stream water was sampled during stremflow and baseflow conditions to assess surface and subsurface sources of nitrate, respectively. In Tacoma, well waters were sampled in adjacent sewered and un-sewered areas to determine if locally high nitrate concentrations were caused by septic systems in the un-sewered areas. In both studies, sewage was identified as a nitrate source and mixing between sewage and other sources of nitrate was apparent. In addition to source identification, combined nitrogen and oxygen isotopes were important in determining the significance of denitrification, which can complicate source assessment by reducing nitrate concentrations and increasing ??15N values. The two studies illustrate the value of nitrogen and oxygen isotopes of nitrate for forensic applications in urban areas. ?? Published by Elsevier Science Ltd. on behalf of AEHS.

Environmental Forensics

Assessing groundwater vulnerability using logistic regression

Determining the likelihood that groundwater contains elevated concentrations of contaminants can help water resource managers protect drinking water supplies. For example, this information is useful for selecting new sites for drinking water sources and designing more cost-effective monitoring strategies for existing sources. Groundwater vulnerability has typically been assessed using largely qualitative methods and expressed as relative measures of risk. In this study, a statistical approach was used to quantify the likelihood that a well contains an elevated concentration of nitrate or a detectable concentration of atrazine. The occurrence of elevated nitrate concentrations or detectable concentrations of atrazine in groundwater was related to both natural and anthropogenic variables using logistic regression. The variables that best explain the occurrence of elevated nitrate concentrations were well depth, surficial geology, and the percentages of urban and agricultural land within a radius of 3.2 kilometers of a well. Well depth and roadside application of atrazine best explained the occurrence of detectable concentrations of atrazine. From these relations, multiple logistic regression models were developed which predict the probability that a well has an elevated nitrate concentration or a detectable concentration of atrazine.

Conference Paper