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Comparison of sediment and nutrient export and runoff characteristics from watersheds with centralized versus distributed stormwater management

Overview of attention for article published in Journal of Environmental Management, August 2017
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Title
Comparison of sediment and nutrient export and runoff characteristics from watersheds with centralized versus distributed stormwater management
Published in
Journal of Environmental Management, August 2017
DOI 10.1016/j.jenvman.2017.07.067
Pubmed ID
Authors

Kristina G. Hopkins, J.V. Loperfido, Laura S. Craig, Gregory B. Noe, Dianna M. Hogan

Abstract

Stormwater control measures (SCMs) are used to retain stormwater and pollutants. SCMs have traditionally been installed in a centralized manner using detention to mitigate peak flows. Recently, distributed SCM networks that treat runoff near the source have been increasingly utilized. The aim of this study was to evaluate differences among watersheds that vary in SCM arrangement by assessing differences in baseflow nutrient (NOx-N and PO4(-)) concentrations and fluxes, stormflow export of suspended sediments and particulate phosphorus (PP), and runoff characteristics. A paired watershed approach was used to compare export between 2004 and 2016 from one forested watershed (For-MD), one suburban watershed with centralized SCMs (Cent-MD), and one suburban watershed with distributed SCMs (Dist-MD). Results indicated baseflow nitrate (NOx-N) concentrations typically exceeded 1 mg-N/L in all watersheds and were highest in Dist-MD. Over the last 10 years in Dist-MD, nitrate concentrations in both stream baseflow and in a groundwater well declined as land use shifted from agriculture to suburban. Baseflow nitrate export temporarily increased during the construction phase of SCM development in Dist-MD. This temporary pulse of nitrate may be attributed to the conversion of sediment control facilities to SCMs and increased subsurface flushing as infiltration SCMs came on line. During storm flow, Dist-MD tended to have less runoff and lower maximum specific discharge than Cent-MD for small events (<1.3 cm), but runoff responses became increasingly similar to Cent-MD with increasing precipitation (>1.3 cm). Mass export estimated during paired storm events indicated Dist-MD exported 30% less sediment and 31% more PP than Cent-MD. For large precipitation events, export of sediment and PP was similar among all three watersheds. Results suggest that distributed SCMs can reduce runoff and sediment loads during small rain events compared to centralized SCMs, but these differences become less evident for large events when peak discharge likely leads to substantial bank erosion.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 18 18%
Researcher 15 15%
Other 6 6%
Professor > Associate Professor 5 5%
Other 13 13%
Unknown 21 21%
Readers by discipline Count As %
Engineering 23 23%
Environmental Science 21 21%
Agricultural and Biological Sciences 9 9%
Earth and Planetary Sciences 5 5%
Economics, Econometrics and Finance 2 2%
Other 7 7%
Unknown 31 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 September 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from Journal of Environmental Management
#3,314
of 6,438 outputs
Outputs of similar age
#170,024
of 327,545 outputs
Outputs of similar age from Journal of Environmental Management
#45
of 77 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,438 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.