PCPF‐M model for simulating the fate and transport of pesticides and their metabolites in rice paddy field

Abstract

The PCPF-M model simultaneously forecasts the concentrations of a parent pesticide and up to three metabolites. The model was validated using fipronil and two of its metabolites in paddy water and paddy soil. The model can be used in the early stage of the pesticide registration process and in risk assessment analysis for the evaluation of pesticide exposure. © 2017 Society of Chemical Industry.

Inverse analysis to estimate site‐specific parameters of a mathematical model for simulating pesticide dissipations in paddy test systems

“…The PCPF‐1 model is a lumped parameter model that simulates the fate and transport of pesticides in the paddy water (PW) and 1‐cm thick paddy surface soil (PSL) . Until now, this model has been validated with several herbicides with submerged granule applications, and insecticides with nursery box applications and metabolite prediction …”

“…5,6 Until now, this model has been validated with several herbicides with submerged granule applications, 6,[32][33][34] and insecticides with nursery box applications 35 and metabolite prediction. 36 The governing equations of the PCPF-1 model formulate photochemical and biochemical degradations separately (see Supporting Information Table S1). However, it is technically difficult to calibrate the parameters regarding these processes individually because of data availability.…”

Performance evaluation of lysimeter experiments for simulating pesticide dissipation in paddy fields. Part 2: Nursery-box application and foliar application

“…37) Several modeling approaches have been proposed to simulate the fate and transport of pesticides under nursery-box application and foliar application in paddy fields. [38][39][40] However, these models require various parameters, including site-specific information such as drift ratio at application, which were previously determined based on expert judgment. In order to overcome the over-parameterization of the mathematical model, an efficient calibration routine of the mathematical model to derive the parameters from our experimental data set needs to be developed.…”

Assessing the Effect of Organic Amendments on the Degradation of Profoxydim in Paddy Soils: Kinetic Modeling and Identification of Degradation Products

“…As a consequence, DPs can be easily transported to environmental waters, resulting in water quality deterioration (Sinclair et al, 2006). In fact, DPs of herbicides applied to rice fields have already been detected in surface water and groundwater (Iwafune et al, 2011;Boulange et al, 2017) near rice paddy fields. Thus, the identification of the DPs and then the evaluation of their persistence and toxicological/ecotoxicological properties are of utmost importance, as they might be 'relevant for the overall approval decision or for the definition of risk mitigation measures' (European Commission, 2009).…”