357-4 Using Spatial Analysis to Assess Nitrate Sources in Two Headwater Agricultural Streams in Central Pennsylvania.

Poster Number 319

See more from this Division: ASA Section: Environmental Quality
See more from this Session: General Environmental Quality
Wednesday, October 24, 2012
Duke Energy Convention Center, Exhibit Hall AB, Level 1
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Mark R. Williams, Department of Agricultural and Biological Engineering, Penn State University, University Park, PA, Anthony R. Buda, USDA-ARS, University Park, PA and Herschel Elliott, Agric & Biol Engr, The Pennsylvania State University, University Park, PA
Elevated nitrate (NO3) concentrations in groundwater represent an important source of nitrogen to agricultural streams, particularly during baseflow conditions. Identifying spatial and temporal patterns in stream water chemistry may elucidate landscape features and hydrological processes within a watershed that either contribute to or mitigate these NO3 additions. To test this idea, we used spatial statistics to analyze the longitudinal variation of stream water NO3 concentrations in two adjacent agricultural streams (FD36 and RS) located in central Pennsylvania. We sampled each stream at baseflow on 14 dates from April 2009 to January 2012. On each date, water samples were collected every 10 m over a 500 m stream reach. All major groundwater seeps within each reach were also sampled on the same dates. Nitrate concentrations varied seasonally in FD36 and were significantly lower during the summer compared to the winter (1.1 vs. 6.0 mg L-1). No seasonal patterns were observed in RS (mean, 13.3 mg L-1). Spatial analysis, however, showed that NO3 concentrations in both watersheds were longitudinally dependent on all dates, but that this dependency varied by different degrees and distances. The distance over which NO3 concentrations were dependent averaged 88 and 149 m for FD36 and RS, respectively, suggesting that concentrations in FD36 were more spatially variable. The number and location of seeps on each sampling date were positively correlated (R2=0.86) to the spatial patterns observed in stream water NO3 concentrations; thus, seeps are likely a major source of NO3 in these watersheds. Spatial analysis of stream water chemistry can potentially be a valuable tool for assessing potential sources of NO3 to headwater streams, which is essential for the development of effective and viable remedial strategies in agricultural streams.
See more from this Division: ASA Section: Environmental Quality
See more from this Session: General Environmental Quality