Assessing the environmental risk of pesticide¹ use is an important, complex task that requires knowledge of the equilibrium²（均衡，平静） sorption（吸附作用） parameter³. This helps researchers assess the risk of pesticides⁴ leaching⁵ into groundwater. For cost-effective assessments⁶, this is usually determined⁷ through batch⁸ experiments that find the amount of pesticide in test soils as a function of concentration at a constant temperature. These experimental conditions differ considerably⁹ from real-world conditions. Thus, the validity of the data collected using this method is widely debated. Recently, scientists from Germany and New Zealand evaluated parameters¹⁰ from different experiments that used the same pesticides and soils. Using this data, scientists analyzed¹¹ the relationships between flow velocities¹²（流速） of soil water, the residence time of the pesticides in the soil and the sorption parameters. Results from the study were published in the May-June 2011 issue of the Journal of Environmental Quality.

Scientists found that the range of sorption constants increased with increasing water velocity¹³. Only for water velocity values lower than 35 mm/day, the range of sorption constants was between zero and one. Typically, these values have been obtained in field-scale experiments run under unsaturated flow conditions using undisturbed soil columns. The scientists showed that replacing equilibrium constants obtained from standard measurement protocols¹⁴（协议，条款） for pesticide registration¹⁵ purposes would lead to misinterpretation of the data. Experiment operation times greater than one day, with a typical duration of several days to weeks, yield the most realistic results.

According to the authors, it is also important to consider sorption and desorption（解吸，去吸附） kinetics. The movement of pesticides into a soil matrix was found to depend strongly on the amount of accessible sorption sites, which is determined by soil water content and soil structure. An understanding of this movement will require experimental protocols that take soil structure and soil moisture content into account when researching the impact of pesticides.