Academic literature on the topic 'Nitrate legacy'

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Journal articles on the topic "Nitrate legacy"

1

Tesoriero, Anthony J., John H. Duff, David A. Saad, Norman E. Spahr, and David M. Wolock. "Vulnerability of Streams to Legacy Nitrate Sources." Environmental Science & Technology 47, no. 8 (2013): 3623–29. http://dx.doi.org/10.1021/es305026x.

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2

Exner, Mary E., Aaron J. Hirsh, and Roy F. Spalding. "Nebraska's groundwater legacy: Nitrate contamination beneath irrigated cropland." Water Resources Research 50, no. 5 (2014): 4474–89. http://dx.doi.org/10.1002/2013wr015073.

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3

Weitzman, Julie N., and Jason P. Kaye. "Nitrate retention capacity of milldam-impacted legacy sediments and relict A horizon soils." SOIL 3, no. 2 (2017): 95–112. http://dx.doi.org/10.5194/soil-3-95-2017.

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Abstract. While eutrophication is often attributed to contemporary nutrient pollution, there is growing evidence that past practices, like the accumulation of legacy sediment behind historic milldams, are also important. Given their prevalence, there is a critical need to understand how N flows through, and is retained in, legacy sediments to improve predictions and management of N transport from uplands to streams in the context of climatic variability and land-use change. Our goal was to determine how nitrate (NO3−) is cycled through the soil of a legacy-sediment-strewn stream before and after soil drying. We extracted 10.16 cm radius intact soil columns that extended 30 cm into each of the three significant soil horizons at Big Spring Run (BSR) in Lancaster, Pennsylvania: surface legacy sediment characterized by a newly developing mineral A horizon soil, mid-layer legacy sediment consisting of mineral B horizon soil and a dark, organic-rich, buried relict A horizon soil. Columns were first preincubated at field capacity and then isotopically labeled nitrate (15NO3−) was added and allowed to drain to estimate retention. The columns were then air-dried and subsequently rewet with N-free water and allowed to drain to quantify the drought-induced loss of 15NO3− from the different horizons. We found the highest initial 15N retention in the mid-layer legacy sediment (17 ± 4 %) and buried relict A soil (14 ± 3 %) horizons, with significantly lower retention in the surface legacy sediment (6 ± 1 %) horizon. As expected, rewetting dry soil resulted in 15N losses in all horizons, with the greatest losses in the buried relict A horizon soil, followed by the mid-layer legacy sediment and surface legacy sediment horizons. The 15N remaining in the soil following the post-drought leaching was highest in the mid-layer legacy sediment, intermediate in the surface legacy sediment, and lowest in the buried relict A horizon soil. Fluctuations in the water table at BSR which affect saturation of the buried relict A horizon soil could lead to great loses of NO3− from the soil, while vertical flow through the legacy-sediment-rich soil profile that originates in the surface has the potential to retain more NO3−. Restoration that seeks to reconnect the groundwater and surface water, which will decrease the number of drying–rewetting events imposed on the relict A horizon soils, could initially lead to increased losses of NO3− to nearby stream waters.
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Green, Stefan J., Om Prakash, Puja Jasrotia, et al. "Denitrifying Bacteria from the Genus Rhodanobacter Dominate Bacterial Communities in the Highly Contaminated Subsurface of a Nuclear Legacy Waste Site." Applied and Environmental Microbiology 78, no. 4 (2011): 1039–47. http://dx.doi.org/10.1128/aem.06435-11.

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ABSTRACTThe effect of long-term mixed-waste contamination, particularly uranium and nitrate, on the microbial community in the terrestrial subsurface was investigated at the field scale at the Oak Ridge Integrated Field Research Challenge (ORIFRC) site in Oak Ridge, TN. The abundance, community composition, and distribution of groundwater microorganisms were examined across the site during two seasonal sampling events. At representative locations, subsurface sediment was also examined from two boreholes, one sampled from the most heavily contaminated area of the site and another from an area with low contamination. A suite of DNA- and RNA-based molecular tools were employed for community characterization, including quantitative PCR of rRNA and nitrite reductase genes, community composition fingerprinting analysis, and high-throughput pyrotag sequencing of rRNA genes. The results demonstrate that pH is a major driver of the subsurface microbial community structure and that denitrifying bacteria from the genusRhodanobacter(classGammaproteobacteria) dominate at low pH. The relative abundance of bacteria from this genus was positively correlated with lower-pH conditions, and these bacteria were abundant and active in the most highly contaminated areas. Other factors, such as the concentration of nitrogen species, oxygen level, and sampling season, did not appear to strongly influence the distribution ofRhodanobacterbacteria. The results indicate that these organisms are acid-tolerant denitrifiers, well suited to the acidic, nitrate-rich subsurface conditions, and pH is confirmed as a dominant driver of bacterial community structure in this contaminated subsurface environment.
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5

Ehrhardt, Sophie, Rohini Kumar, Jan H. Fleckenstein, Sabine Attinger, and Andreas Musolff. "Trajectories of nitrate input and output in three nested catchments along a land use gradient." Hydrology and Earth System Sciences 23, no. 9 (2019): 3503–24. http://dx.doi.org/10.5194/hess-23-3503-2019.

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Abstract. Increased anthropogenic inputs of nitrogen (N) to the biosphere during the last few decades have resulted in increased groundwater and surface water concentrations of N (primarily as nitrate), posing a global problem. Although measures have been implemented to reduce N inputs, they have not always led to decreasing riverine nitrate concentrations and loads. This limited response to the measures can either be caused by the accumulation of organic N in the soils (biogeochemical legacy) – or by long travel times (TTs) of inorganic N to the streams (hydrological legacy). Here, we compare atmospheric and agricultural N inputs with long-term observations (1970–2016) of riverine nitrate concentrations and loads in a central German mesoscale catchment with three nested subcatchments of increasing agricultural land use. Based on a data-driven approach, we assess jointly the N budget and the effective TTs of N through the soil and groundwater compartments. In combination with long-term trajectories of the C–Q relationships, we evaluate the potential for and the characteristics of an N legacy. We show that in the 40-year-long observation period, the catchment (270 km2) with 60 % agricultural area received an N input of 53 437 t, while it exported 6592 t, indicating an overall retention of 88 %. Removal of N by denitrification could not sufficiently explain this imbalance. Log-normal travel time distributions (TTDs) that link the N input history to the riverine export differed seasonally, with modes spanning 7–22 years and the mean TTs being systematically shorter during the high-flow season as compared to low-flow conditions. Systematic shifts in the C–Q relationships were noticed over time that could be attributed to strong changes in N inputs resulting from agricultural intensification before 1989, the break-down of East German agriculture after 1989 and the seasonal differences in TTs. A chemostatic export regime of nitrate was only found after several years of stabilized N inputs. The changes in C–Q relationships suggest a dominance of the hydrological N legacy over the biogeochemical N fixation in the soils, as we expected to observe a stronger and even increasing dampening of the riverine N concentrations after sustained high N inputs. Our analyses reveal an imbalance between N input and output, long time-lags and a lack of significant denitrification in the catchment. All these suggest that catchment management needs to address both a longer-term reduction of N inputs and shorter-term mitigation of today's high N loads. The latter may be covered by interventions triggering denitrification, such as hedgerows around agricultural fields, riparian buffers zones or constructed wetlands. Further joint analyses of N budgets and TTs covering a higher variety of catchments will provide a deeper insight into N trajectories and their controlling parameters.
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6

Lautz, Laura K., Sarah H. Ledford, and Julio Beltran. "Legacy effects of cemeteries on groundwater quality and nitrate loads to a headwater stream." Environmental Research Letters 15, no. 12 (2020): 125012. http://dx.doi.org/10.1088/1748-9326/abc914.

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7

Leitner, Sonja, Thomas Dirnböck, Johannes Kobler, and Sophie Zechmeister-Boltenstern. "Legacy effects of drought on nitrate leaching in a temperate mixed forest on karst." Journal of Environmental Management 262 (May 2020): 110338. http://dx.doi.org/10.1016/j.jenvman.2020.110338.

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8

Jaunat, J., E. Garel, F. Huneau, et al. "Combinations of geoenvironmental data underline coastal aquifer anthropogenic nitrate legacy through groundwater vulnerability mapping methods." Science of The Total Environment 658 (March 2019): 1390–403. http://dx.doi.org/10.1016/j.scitotenv.2018.12.249.

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9

Riedel, Thomas, Christine Kübeck, and Markus Quirin. "Legacy nitrate and trace metal (Mn, Ni, As, Cd, U) pollution in anaerobic groundwater: Quantifying potential health risk from “the other nitrate problem”." Applied Geochemistry 139 (April 2022): 105254. http://dx.doi.org/10.1016/j.apgeochem.2022.105254.

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10

Guillaumot, Luca, Jean Marçais, Camille Vautier, et al. "A hillslope-scale aquifer-model to determine past agricultural legacy and future nitrate concentrations in rivers." Science of The Total Environment 800 (December 2021): 149216. http://dx.doi.org/10.1016/j.scitotenv.2021.149216.

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