USGS Science⌕ Search

Geology topics

Andrew E. Laursen

Publications and source records attributed to Andrew E. Laursen.

2 recordsLinked to original sources

Multi-scale measurements and modeling of denitrification in streams with varying flow and nitrate concentration in the upper Mississippi River basin, USA

Denitrification is an important net sink for NO 3 − in streams, but direct measurements are limited and in situ controlling factors are not well known. We measured denitrification at multiple scales over a range of flow conditions and NO 3 − concentrations in streams draining agricultural land in the upper Mississippi River basin. Comparisons of reach-scale measurements (in-stream mass transport and tracer tests) with local-scale in situ measurements (pore-water profiles, benthic chambers) and laboratory data (sediment core microcosms) gave evidence for heterogeneity in factors affecting benthic denitrification both temporally (e.g., seasonal variation in NO 3 − concentrations and loads, flood-related disruption and re-growth of benthic communities and organic deposits) and spatially (e.g., local stream morphology and sediment characteristics). When expressed as vertical denitrification flux per unit area of streambed ( U denit , in μmol N m −2 h −1 ), results of different methods for a given set of conditions commonly were in agreement within a factor of 2–3. At approximately constant temperature (~20 ± 4°C) and with minimal benthic disturbance, our aggregated data indicated an overall positive relation between U denit (~0–4,000 μmol N m −2 h −1 ) and stream NO 3 − concentration (~20–1,100 μmol L −1 ) representing seasonal variation from spring high flow (high NO 3 − ) to late summer low flow (low NO 3 − ). The temporal dependence of U denit on NO 3 − was less than first-order and could be described about equally well with power-law or saturation equations (e.g., for the unweighted dataset, U denit ≈26 * [NO 3 − ] 0.44 or U denit ≈640 * [NO 3 − ]/[180 + NO 3 − ]; for a partially weighted dataset, U denit ≈14 * [NO 3 − ] 0.54 or U denit ≈700 * [NO 3 − ]/[320 + NO 3 − ]). Similar parameters were derived from a recent spatial comparison of stream denitrification extending to lower NO 3 − concentrations (LINX2), and from the combined dataset from both studies over 3 orders of magnitude in NO 3 − concentration. Hypothetical models based on our results illustrate: (1) U denit was inversely related to denitrification rate constant ( k 1 denit , in day −1 ) and vertical transfer velocity ( v f,denit , in m day −1 ) at seasonal and possibly event time scales; (2) although k 1 denit was relatively large at low flow (low NO 3 − ), its impact on annual loads was relatively small because higher concentrations and loads at high flow were not fully compensated by increases in U denit ; and (3) although NO 3 − assimilation and denitrification were linked through production of organic reactants, rates of NO 3 − loss by these processes may have been partially decoupled by changes in flow and sediment transport. Whereas k 1 denit and v f,denit are linked implicitly with stream depth, NO 3 − concentration, and(or) NO 3 − load, estimates of U denit may be related more directly to field factors (including NO 3 − concentration) affecting denitrification rates in benthic sediments. Regional regressions and simulations of benthic denitrification in stream networks might be improved by including a non-linear relation between U denit and stream NO 3 − concentration and accounting for temporal variation.

Biogeochemistry↗

Forensic fingerprinting of oil-spill hydrocarbons in a methanogenic environment-Mandan, ND and Bemidji, MN

In recent decades forensic fingerprinting of oil-spill hydrocarbons has emerged as an important tool for correlating oils and for evaluating their source and character. Two long-term hydrocarbon spills, an off-road diesel spill (Mandan, ND) and a crude oil spill (Bemidji, MN) experiencing methanogenic biodegradation were previously shown to be undergoing an unexpected progression of homologous n-alkane and n-alkylated cyclohexane loss. Both exhibited degradative losses proceeding from the high-molecular-weight end of the distributions, along with transitory concentration increases of lower-molecular-weight homologs. Particularly in the case of the diesel fuel spill, these methanogenic degradative patterns can result in series distributions that mimic lower cut refinery fuels or admixture with lower cut fuels. Forensic fingerprinting in this long-term spill must therefore rely on more recalcitrant series, such as polycyclic aromatic hydrocarbon or drimane sesquiterpane profiles, to prove if the spilled oil is single-sourced or whether there is verifiable admixture with other extraneous refinery fuels. Degradation processes impacting n-alkanes and n-alkylated ring compounds, which make these compounds unsuitable for fingerprinting, nevertheless are of interest in understanding methanogenic biodegradation.

Environmental Forensics↗