predicting the denitrification capacity of sandy aquifers from shorter-term incubation experiments and sediment properties
Clicks: 259
ID: 156978
2013
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
259 views
63 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #17 of 345 articles by views in tetrahedron letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Knowledge about the spatial variability of denitrification rates and the lifetime of denitrification in nitrate-contaminated aquifers is crucial to predict the development of groundwater quality. Therefore, regression models were derived to estimate the measured cumulative denitrification of aquifer sediments after one year of incubation from initial denitrification rates and several sediment parameters, namely total sulphur, total organic carbon, extractable sulphate, extractable dissolved organic carbon, hot water soluble organic carbon and potassium permanganate labile organic carbon. <br><br> For this purpose, we incubated aquifer material from two sandy Pleistocene aquifers in Northern Germany under anaerobic conditions in the laboratory using the <sup>15</sup>N tracer technique. The measured amount of denitrification ranged from 0.19 to 56.2 mg N kg<sup>−1</sup> yr<sup>−1</sup>. The laboratory incubations exhibited high differences between non-sulphidic and sulphidic aquifer material in both aquifers with respect to all investigated sediment parameters. Denitrification rates and the estimated lifetime of denitrification were higher in the sulphidic samples. For these samples, the cumulative denitrification measured during one year of incubation (<i>D</i><sub>cum</sub>(365)) exhibited distinct linear regressions with the stock of reduced compounds in the investigated aquifer samples. <i>D</i><sub>cum</sub>(365) was predictable from sediment variables within a range of uncertainty of 0.5 to 2 (calculated <i>D</i><sub>cum</sub>(365)/measured <i>D</i><sub>cum</sub>(365)) for aquifer material with a <i>D</i><sub>cum</sub>(365) > 20 mg N kg<sup>−1</sup> yr<sup>−1</sup>. Predictions were poor for samples with lower <i>D</i><sub>cum</sub>(365), such as samples from the NO<sub>3</sub><sup>−</sup> bearing groundwater zone, which includes the non-sulphidic samples, from the upper part of both aquifers where denitrification is not sufficient to protect groundwater from anthropogenic NO<sub>3</sub><sup>−</sup> input. Calculation of <i>D</i><sub>cum</sub>(365) from initial denitrification rates was only successful for samples from the NO<sub>3</sub><sup>−</sup>-bearing zone, whereas a lag-phase of denitrification in samples from deeper zones of NO<sub>3</sub><sup>−</sup> free groundwater caused imprecise predictions. <br><br> In our study, <i>D</i><sub>cum</sub>(365) of two sandy Pleistocene aquifers was predictable using a combination of short-term incubations and analysis of sediment parameters. Moreover, the protective lifetime of denitrification sufficient to remove NO<sub>3</sub><sup>−</sup> from groundwater in the investigated aquifers is limited, which demonstrates the need to minimise anthropogenic NO<sub>3</sub><sup>−</sup> input.
| Reference Key |
eschenbach2013biogeosciencespredicting
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;W. Eschenbach;R. Well |
| Journal | tetrahedron letters |
| Year | 2013 |
| DOI |
10.5194/bg-10-1013-2013
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.