Literature DB >> 22080428

Assessing watershed transport of atrazine and nitrate to evaluate conservation practice effects and advise future monitoring strategies.

T Kevin O'Donnell1.   

Abstract

Continued public support for U.S. taxpayer funded programs aimed at reducing agricultural pollutants depends on clear demonstrations of water quality improvements. The objective of this research was to determine if implementation of agricultural best management practices (BMPs) in the Goodwater Creek Experimental Watershed (GCEW) resulted in changes to atrazine and nitrate (NO(3)-N) loads during storm events. An additional objective was to estimate future monitoring periods necessary to detect a 5, 10, 20, and 25% reduction in atrazine and NO(3)-N event load. The GCEW is a 73 km(2) watershed located in northcentral Missouri, USA. Linear regressions and Akaike Information Criteria were used to determine if reductions in atrazine and NO(3)-N event loads occurred as BMPs were implemented. No effects due to any BMP type were indicated for the period of record. Further investigation of event sampling from the long-term GCEW monitoring program indicated errors in atrazine load calculations may be possible due to pre-existing minimum threshold levels used to trigger autosampling and sample compositing. Variation of event loads was better explained by linear regressions for NO(3)-N than for atrazine. Decommissioning of upstream monitoring stations during the study period represented a missed opportunity to further explain variation of event loads at the watershed outlet. Atrazine requires approximately twice the monitoring period relative to NO(3)-N to detect future reductions in event load. Appropriate matching of pollutant transport mechanisms with autosampling protocols remains a critical information need when setting up or adapting watershed monitoring networks aimed at detecting watershed-scale BMP effects.

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Year:  2011        PMID: 22080428     DOI: 10.1007/s00267-011-9780-7

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  8 in total

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Authors:  R N Lerch; P E Blanchard
Journal:  Environ Sci Technol       Date:  2003-12-15       Impact factor: 9.028

2.  Multivariate analysis of paired watershed data to evaluate agricultural best management practice effects on stream water phosphorus.

Authors:  Patricia L Bishop; W Dean Hively; Jery R Stedinger; Michael R Rafferty; Jeffrey L Lojpersberger; Jay A Bloomfield
Journal:  J Environ Qual       Date:  2005-05-11       Impact factor: 2.751

Review 3.  Network design for water quality monitoring of surface freshwaters: a review.

Authors:  Robert O Strobl; Paul D Robillard
Journal:  J Environ Manage       Date:  2007-04-24       Impact factor: 6.789

4.  Framework for designing sampling programs.

Authors:  W A Maher; P W Cullen; R H Norris
Journal:  Environ Monit Assess       Date:  1994-04       Impact factor: 2.513

Review 5.  Managing farming systems for nitrate control: a research review from management systems evaluation areas.

Authors:  J F Power; R Wiese; D Flowerday
Journal:  J Environ Qual       Date:  2001 Nov-Dec       Impact factor: 2.751

6.  Agroforestry practices, runoff, and nutrient loss: a paired watershed comparison.

Authors:  Ranjith P Udawatta; J John Krstansky; Gray S Henderson; Harold E Garrett
Journal:  J Environ Qual       Date:  2002 Jul-Aug       Impact factor: 2.751

7.  Phosphorus loss and runoff characteristics in three adjacent agricultural watersheds with claypan soils.

Authors:  Ranjith P Udawatta; Peter P Motavalli; Harold E Garrett
Journal:  J Environ Qual       Date:  2004 Sep-Oct       Impact factor: 2.751

8.  Phosphorus reductions following riparian restoration in two agricultural watersheds in Vermont, USA.

Authors:  D W Meals; R B Hopkins
Journal:  Water Sci Technol       Date:  2002       Impact factor: 1.915

  8 in total

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