| Title |
Nitrate uptake in an agricultural stream estimated from high-frequency, in-situ sensors
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, March 2018
|
| DOI | 10.1007/s10661-018-6599-1 |
| Pubmed ID | |
| Authors |
Christopher S. Jones, Sea-won Kim, Thomas F. Wilton, Keith E. Schilling, Caroline A. Davis |
| Abstract |
Real-time, continuous, in situ water quality sensors were deployed on a fourth-order Iowa (U.S.) stream draining an agricultural watershed to evaluate key in-stream processes affecting concentrations of nitrate during a 24-day late summer (Aug-Sep) period. Overall, nitrate-nitrogen (NO3-N) concentrations declined 0.11 mg L-1 km-1, or about 1.9% km-1 and 35% in total across 18 km. We also calculated stream metabolic rates using in situ dissolved oxygen data and determined stream biotic N demand to be 108-117 mg m-2 day-1. From this, we estimate that 11% of the NO3-N concentration decline measured between two in-situ sensors separated by 2 km was a result of biotic NO3-N demand, while groundwater NO3-N data and estimates of groundwater flow contributions indicate that dilution was responsible for 53%. Because the concentration decline extends linearly across the entire 18 km of stream length, these processes seem consistent throughout the basin downstream of the most upstream sensor site. The nitrate-dissolved oxygen relationship between the two sites separated by 2 km, calculations of biotic NO3-N demand, and diurnal variations in NO3-N concentration all indicate that denitrification by anaerobes is removing less NO3-N than that assimilated by aquatic organisms unable to fix nitrogen for their life processes, and thus the large majority of the NO3-N entering this stream is not retained or removed, but rather transported downstream. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Master | 7 | 19% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 11 | 30% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Earth and Planetary Sciences | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2018.
All research outputs
#16,172,769
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,407
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Outputs of similar age
#233,515
of 362,951 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#23
of 51 outputs
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