• DOI:10.1002/etc.180
• Corpus ID: 24280052

Pesticide transport with runoff from creeping bentgrass turf: Relationship of pesticide properties to mass transport.

@article{Rice2010PesticideTW,
  title={Pesticide transport with runoff from creeping bentgrass turf: Relationship of pesticide properties to mass transport.},
  author={Pamela J. Rice and Brian P. Horgan and Jennifer L. Rittenhouse},
  journal={Environmental toxicology and chemistry},
  year={2010},
  volume={29 6},
  pages={
          1209-14
        }
}

• P. J. Rice, B. Horgan, J. L. Rittenhouse
• Published 1 June 2010
• Environmental Science, Medicine
• Environmental toxicology and chemistry

The off-site transport of pesticides with runoff is both an agronomic and environmental concern, resulting from reduced control of target pests in the area of application and contamination of surrounding ecosystems. Experiments were designed to measure the quantity of pesticides in runoff from creeping bentgrass (Agrostis palustris) turf managed as golf course fairway to gain a better understanding of factors that influence chemical availability and mass transport. Less than 1 to 23% of applied chloropyrifos, flutolanil, mecoprop-p (MCPP), dimethylamine salt of 2,4-dichlorophenoxyacetic acid (2,4-D), or dicamba was measured in edge-of-plot runoff when commercially available pesticide formulations were applied at label rates 23 +/- 9 h prior to simulated precipitation (62 +/- 13 mm). Time differential between hollow tine core cultivation and runoff did not significantly influence runoff volumes or the percentage of applied chemicals transported in the runoff. With the exception of chlorpyrifos, all chemicals of interest were detected in the initial runoff samples and throughout the runoff events. Chemographs of the five pesticides followed trends in agreement with mobility classifications associated with their soil organic carbon partition coefficient (K(OC).) Data collected from the present study provides information on the transport of chemicals with runoff from turf, which can be used in model simulations to predict nonpoint source pollution potentials and estimate ecological risks.