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Significant knowledge gaps exist regarding the fate and transport of persistent organic pollutants like dichlorodiphenyltrichloroethane (DDT) in tropical environments. In Brazil, indoor residual spraying with DDT to combat malaria and leishmaniasis began in the 1950s and was banned in 1998. Nonetheless, high concentrations of DDT and its metabolites were recently detected in human breast milk in the community of Lake Puruzinho in the Brazilian Amazon. In this work, we couple analysis of soils and sediments from 2005 to 2014 at Puruzinho with a novel dynamic floodplain model to investigate the movement and distribution of DDT and its transformation products (dichlorodiphenyldichloroethylene (DDE) and dichlorodiphenyldichloroethane (DDD)) and implications for human exposure. The model results are in good agreement with the accumulation pattern observed in the measurements, in which DDT, DDE, and DDD (collectively, DDX) accumulate primarily in upland soils and sediments. However, a significant increase was observed in DDX concentrations in soil samples from 2005 to 2014, coupled with a decrease of DDT/DDE ratios, which do not agree with model results assuming a post-ban regime. These observations strongly suggest recent use. We used the model to investigate possible re-emissions after the ban through two scenarios: one assuming DDT use for IRS and the other assuming use against termites and leishmaniasis. Median DDX concentrations and p,p'-DDT/p,p'-DDE ratios from both of these scenarios agreed with measurements in soils, suggesting that the soil parameterization in our model was appropriate. Measured DDX concentrations in sediments were between the two re-emission scenarios. Therefore, both soil and sediment comparisons suggest re-emissions indeed occurred between 2005 and 2014, but additional measurements would be needed to better understand the actual re-emission patterns. Monte Carlo analysis revealed model predictions for sediments were very sensitive to highly uncertain parameters associated with DDT degradation and partitioning. With this model as a tool for understanding inter-media cycling, additional research to refine these parameters would improve our understanding of DDX fate and transport in tropical sediments.

Conventional banana cultivation in Costa Rica relies on heavy pesticide use. While pesticide residues in exported bananas do not generally represent a safety concern for consumers abroad, ecosystem and human health in producing regions are not likewise protected. In Costa Rica, most studies on pesticide residues in the environment are snapshots, limiting our ability to identify temporal dynamics that can inform risk mitigation strategies. To help bridge this gap, we created a dynamic multimedia model for the Cano Azul River drainage area, which is heavily influenced by banana and pineapple plantations. This model estimates chemical concentrations in water, air, soil, sediments, and banana plants through time, based on pesticide properties and emission patterns and on variable environmental conditions. Case studies for three representative chemicals-the herbicide diuron, the nematicide ethoprofos, and the fungicide epoxiconazole-show that concentrations in fruit remain below EU and US maximum residue limits set to ensure consumer health, while those in the environment are highly variable, reaching peak concentrations in water that can exceed thresholds for ecosystem health. Critical research needs, including incorporating sediment dynamics and the effects of adjuvants on the properties and transport of active ingredients into multimedia models, were identified.