Statistically based soil–climate exposure scenarios for aquatic pesticide fate modeling and exposure assessment in the Pampa Region of Argentina

Abstract

This article is part of the special series "Diversity of Knowledge for a Sustainable Future in Latin America" and highlights timely research presented at the virtual SETAC Latin America 14th Biennial Meeting (2021). These articles reflect the urgent need to combine different knowledge sources and expertise to face current environmental challenges, decision making, and problem solving. Risk, recovery, restoration, modeling, regulations, anthropic impact, and human health are some of the global environmental issues covered in this special series.

Qualitative analysis of the most locally relevant runoff and erosion parameters for constructing Brazilian scenarios

“…The EEC SW may differ depending on the physicalchemical characteristics of a pesticide, as demonstrated by Brodeur et al (2022), who developed and modeled The use of data modeling to estimate the exposure of environmental concentrations is part of the regulatory framework in countries with a robust regulatory system. In Latin America, aside from the modeling exercise from Brodeur et al (2022) andD'Andrea et al (2020) in Argentina, efforts to develop modeling tools or adapt existing ones are occurring in the Andean countries and Brazil. Ritter and Patiño (2021) gathered local data to develop scenarios for Colombia and Peru, whereas in Brazil, there is an initiative to create local scenarios for the PWC (DOU, 2019).…”

“…Ideally, depending on the country size and the crop area distribution, more than one local scenario should be developed. The EEC SW may differ depending on the physical–chemical characteristics of a pesticide, as demonstrated by Brodeur et al (2022), who developed and modeled PWC‐based scenarios and have used the pesticide's dissociation constant ( K d ) to identify the most sensitive areas in the Pampa region in Argentina.…”

“…Ideally, depending on the country size and the crop area distribution, more than one local scenario should be developed. The EEC SW may differ depending on the physicalchemical characteristics of a pesticide, as demonstrated by Brodeur et al (2022), who developed and modeled The use of data modeling to estimate the exposure of environmental concentrations is part of the regulatory framework in countries with a robust regulatory system. In Latin America, aside from the modeling exercise from Brodeur et al (2022) andD'Andrea et al (2020) in Argentina, efforts to develop modeling tools or adapt existing ones are occurring in the Andean countries and Brazil.…”