Monitoring Bear Creek nitrate-N flux and quantifying the impacts of concentrated flow on grass filters and riparian forest buffers
by Kult, Keegan James, M.S., IOWA STATE UNIVERSITY, 2008, 92 pages; 1461869

Abstract:

In order to understand the dynamics of stream water nitrate-N flux, a small agricultural watershed was monitored throughout the year, along a spatial gradient, and in response to specific storm events. Seven sampling locations along the Bear Creek watershed were monitored for nitrate-N concentration. Event based samples were taken at a site mid-watershed next to an instrumented weir in order to assess the NO3--N concentration response during a storm event. A stage-discharge rating curve was developed in order to quantify NO3--N flux. Nitrate-N concentrations were relatively high during the study period and would have exceeded the EPA's maximum contaminant level (MCL) of 10 mg L-1 for drinking water at a majority of the sites throughout the year. The headwater of West Bear Creek (a tributary of Bear Creek) was over the MCL 89% of the time, which was the highest for any of the seven sites. The furthest downstream site, was over the MCL the least amount of time of any site, but was still higher than 10 mg L-1 47% of the time. There was a general trend of decreasing NO3 --N concentration from the headwaters to the outlet of Bear Creek. A spatial gradient was more profound during the spring and fall months, which was attributed to the effects of subsurface drainage. Spring consistently had the highest NO3--N concentrations of all the seasons for each of the sampling sites. NO3--N concentrations were the lowest during the summer months when subsurface drainage was limited and conditions are ideal for in-stream processing. Event samples showed that there was a lag between peak NO3--N concentrations and the peak in the hydrograph. Sediment delivery models based on plot studies have been developed to predict watershed sediment yield. The modified universal soil loss equation (MUSLE) predicts sediment yield applicable to individual storm events. A major limitation to the MUSLE is that it does not take into account the effects of concentrated flow leading to ephemeral gully (EG) erosion. The formation of an EG provides a direct link from the uplands to the streams which increases sediment delivered from sheet and rill flow by reducing the surface roughness. Two study sites were located on the Southern Iowa Drift Plain ecoregion to quantify the amount of sediment loss in small catchments with ephemeral gullies. The observed amount of sediment loss was then compared to the MUSLE predicted amount of sediment loss for each individual storm event. The disparity among the predicted and observed sediment yields increased with storm size. A general weakness with the MUSLE is that rainfall events are based on a 24 hour rainfall depth and not intensity which is a dominant factor in how much rainfall will result in runoff. Riparian buffers have been accepted as an edge of field best management practice to improve surface water quality by reducing the sediment and nutrients transported in surface runoff. Many plot scale studies under uniform flow conditions have assessed the effectiveness of various riparian buffers at mitigating the effects of concentrated flow. The purpose of this study was to examine, at the hillslope scale and natural rainfall conditions, the impact that concentrated flow has on edge of field practices. The study was conducted on two private farms located in the Lake Darling and Lake Rathbun watersheds located in the Southern Iowa Drift Plain physiographic region. The three sites located in the Lake Rathbun watershed consisted of one control, located at the crop field/buffer interface, and two sites with a 15.2 m wide grass filter treatment. The three sites located in the Lake Darling watershed consisted of one control, located at the crop field/buffer interface, and two sites with a 15.2 m wide natural riparian forest buffer. Potential pollutants monitored were total sediment, nitrate-N, ortho-P, total-N, and total-P. The grass filter strips reduced pollutant load relative to the control at the field edge in smaller rain events. However, one of the grass filter sites was not effective at reducing pollutant load during larger events. There appears to be a threshold that is dependent upon the amount and intensity of rain, and the contributing area to effective buffer ratio. The riparian forests were less predictable for which storm events they can be considered effective. This is because there is little to no resistance to concentrated flow within the riparian forest, as concentrated flow forms a classic gully within the buffer. (Abstract shortened by UMI.)

 
AdviserThomas M. Isenhart
SchoolIOWA STATE UNIVERSITY
SourceMAI/ 47-04, p. , Mar 2009
Source TypeThesis
SubjectsBiogeochemistry; Agriculture engineering; Environmental science
Publication Number1461869
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:1461869
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.