1997
DOI: 10.2134/jeq1997.00472425002600060013x
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Rain Pattern and Soil Moisture Content Effects on Atrazine and Metolachlor Losses in Runoff

Abstract: Herbicide concentration in runoff varies dramatically within a storm, therefore storm pattern is postulated to have a significant impact on herbicide loss. We evaluated the effects of storm pattern and soil moisture content on herbicide loss in runoff, and used our data to validate the uniform mixing concept for modeling herbicide transfer to runoff. Atrazine and metolachlor were surface applied to air‐dried soil at rates of 1.12 and 2.24 kg/ha, respectively. Two soils (Cecil sandy loam and Miami silty loam), … Show more

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Cited by 50 publications
(51 citation statements)
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“…This proportion agrees with values reported by other researchers (Huber, 1993;Zhang et al, 1997;Christensen and Ziegler, 1998).…”
Section: Model Calibration and Validation To Predict Atrazine Concentsupporting
confidence: 93%
See 1 more Smart Citation
“…This proportion agrees with values reported by other researchers (Huber, 1993;Zhang et al, 1997;Christensen and Ziegler, 1998).…”
Section: Model Calibration and Validation To Predict Atrazine Concentsupporting
confidence: 93%
“…A loss of up to 15% of applied atrazine has been determined in Miami silt loam soil, 95.4% of which occurred in the dissolved phase (Zhang et al, 1997). Christensen and Ziegler (1998) found that approximately 1% of the atrazine applied in the Little Arkansas River watershed, in Kansas, was transported annually in surface runoff to the river in the period 1995-1997.…”
Section: Contamination Caused By Atrazinementioning
confidence: 99%
“…These include transient variations in water content and temperature and their effects on sorption and degradation [Walker, 1974]; upward solute transport due to evaporation, diffusion and raindrop impact [Ahuja et al, 1981;Zhang et al, 1997]; and rate limited transport which may depend upon rainfall intensity [Zhang et al, 1997]. While the anticipated effects on the results are mixed, generally, neglecting these processes may tend to underpredict the mean and variance of solute persistence which we derive here.…”
Section: Modelmentioning
confidence: 88%
“…[12] The conceptual model for solute dissipation considers the chemical to reside in a thin surface layer, which fully mixes with water from intermittent rainfall events [Leonard, 1990;Steenhuis et al, 1994;Zhang et al, 1997]. This thin layer is the depth over which rapid flows interact.…”
Section: Modelmentioning
confidence: 99%
“…A instead of s, which is somewhat arbitrary and requires no new parameter; prop is assumed to be constant, at least for an event. This part of the model is able to yield increasing concentration with decreasing discharge, a behaviour attributed to far from equilibrium desorption by Zhang et al (1997).…”
Section: Model Structurementioning
confidence: 92%