Prediction of pesticide losses in surface runoff from agricultural fields using GLEAMS and RZWQM

A. Chinkuyu, Thomas Meixner, T. Gish, C. Daughtry

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Seepage zones have been shown to be of critical importance in controlling contaminant export from agricultural watersheds. To date, no multipurpose agricultural water quality model has seepage zones incorporated into its process-level representations. We chose to test two widely used models of agricultural water quality, the Groundwater Loading Effects of Agricultural Management Systems (GLEAMS) and the Root Zone Water Quality Model (RZWQM), by seeing how well each predicted solution pesticide concentration and loss in surface runoff from two agricultural fields: one with and one without seepage zones. Daily simulated atrazine and metolachlor concentration and loss in surface runoff from both calibrated and default (or non-calibrated) GLEAMS and RZWQM were compared with three years of measured data from the two fields. The results of the study show that GLEAMS and RZWQM using default input parameters were not capable of predicting atrazine and metolachlor concentration and loss in surface runoff from the fields with and without seepage zones (modeling efficiency <0.16). Site-calibrated GLEAMS and RZWQM predicted atrazine and metolachlor concentration and loss in surface runoff from both fields (coefficient of determination >0.52, index of agreement >0.83, and modeling efficiency >0.53) and can be used for assessing the effects of seepage zones on pesticide loss in surface runoff from agricultural fields.

Original languageEnglish (US)
Pages (from-to)585-599
Number of pages15
JournalTransactions of the American Society of Agricultural Engineers
Volume48
Issue number2
StatePublished - Mar 2005

Fingerprint

Root Zone Water Quality Model
agricultural management
Water Quality
Groundwater
Seepage
seepage
Pesticides
Runoff
Water quality
management systems
rhizosphere
runoff
groundwater
pesticides
pesticide
water quality
prediction
Atrazine
metolachlor
Herbicides

Keywords

  • Atrazine
  • Metolachlor
  • Model
  • Pesticides
  • Predicted
  • Surface runoff

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

Cite this

Prediction of pesticide losses in surface runoff from agricultural fields using GLEAMS and RZWQM. / Chinkuyu, A.; Meixner, Thomas; Gish, T.; Daughtry, C.

In: Transactions of the American Society of Agricultural Engineers, Vol. 48, No. 2, 03.2005, p. 585-599.

Research output: Contribution to journalArticle

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