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PESTIPOND: A descriptive model of pesticide fate in artificial ponds: I. Model development

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  • Bahi, Aya
  • Sauvage, Sabine
  • Payraudeau, Sylvain
  • Tournebize, Julien

Abstract

Some artificial ponds (APs) are designed to collect part of the agricultural water fluxes and dissipate their pesticide contamination through a synergy of physicochemical processes. As part of a two-paper series, this paper describes the development of PESTIPOND, a process-based model for pesticide fate in AP. PESTIPOND comprises a hydrological model and a pesticide transfer model. A test-case simulation shows that PESTIPOND can predict the mass dynamics of different pesticides within AP compartments. Sensitivity analysis evidenced that adsorption–desorption, biotransformation, and photolysis have the most significant impact on the behavior of dissolved pesticides in APs. PESTIPOND is a promising tool for better understanding the performance of ponds and can help improve AP's efficiency in preserving water quality. A second paper addresses the application of PESTIPOND in a real-case scenario and its validation (Bahi et al., 2023a). The model can thus be integrated into landscape modeling tools (e.g., surface water assessment tools) to predict pesticide transfer at the watershed scale.

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  • Bahi, Aya & Sauvage, Sabine & Payraudeau, Sylvain & Tournebize, Julien, 2023. "PESTIPOND: A descriptive model of pesticide fate in artificial ponds: I. Model development," Ecological Modelling, Elsevier, vol. 485(C).
    • Handle: RePEc:eee:ecomod:v:485:y:2023:i:c:s0304380023001849
    DOI: 10.1016/j.ecolmodel.2023.110453
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    1. Chunbo Yuan & Ting Huang & Xiaohong Zhao & Yaqian Zhao, 2020. "Numerical Models of Subsurface Flow Constructed Wetlands: Review and Future Development," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    2. Ho Yuh-Shan, 2004. "Citation review of Lagergren kinetic rate equation on adsorption reactions," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 171-177, January.
    3. Soetaert, Karline & Petzoldt, Thomas & Setzer, R. Woodrow, 2010. "Solving Differential Equations in R: Package deSolve," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i09).
    4. Postawa, Karol & Szczygieł, Jerzy & Kułażyński, Marek, 2020. "A comprehensive comparison of ODE solvers for biochemical problems," Renewable Energy, Elsevier, vol. 156(C), pages 624-633.
    5. Bahi, Aya & Sauvage, Sabine & Payraudeau, Sylvain & Tournebize, Julien, 2023. "PESTIPOND: A descriptive model of pesticide fate in artificial ponds: II. Model application and evaluation," Ecological Modelling, Elsevier, vol. 484(C).
    6. Sharifi, Amirreza & Kalin, Latif & Hantush, Mohamed M. & Isik, Sabahattin & Jordan, Thomas E., 2013. "Carbon dynamics and export from flooded wetlands: A modeling approach," Ecological Modelling, Elsevier, vol. 263(C), pages 196-210.
    7. Lizethly Cáceres-Jensen & Jorge Rodríguez-Becerra & Carlos Garrido & Mauricio Escudey & Lorena Barrientos & Jocelyn Parra-Rivero & Valentina Domínguez-Vera & Bruno Loch-Arellano, 2021. "Study of Sorption Kinetics and Sorption–Desorption Models to Assess the Transport Mechanisms of 2,4-Dichlorophenoxyacetic Acid on Volcanic Soils," IJERPH, MDPI, vol. 18(12), pages 1-18, June.
    8. Marois, Darryl E. & Mitsch, William J., 2016. "Modeling phosphorus retention at low concentrations in Florida Everglades mesocosms," Ecological Modelling, Elsevier, vol. 319(C), pages 42-62.
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    1. Bahi, Aya & Sauvage, Sabine & Payraudeau, Sylvain & Tournebize, Julien, 2023. "PESTIPOND: A descriptive model of pesticide fate in artificial ponds: II. Model application and evaluation," Ecological Modelling, Elsevier, vol. 484(C).

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