A sensitivity analysis of pesticide concentrations in California Central Valley vernal pools.

Autor: Sinnathamby S; Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, USA; U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention, Office of Pesticide Programs, Arlington, VA, USA. Electronic address: sinnathamby.sumathy@epa.gov., Minucci JM; Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, USA; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA. Electronic address: minucci.jeffrey@epa.gov., Denton DL; U.S. Environmental Protection Agency, Region 9, Standards and TMDLs Office, Sacramento, CA, USA. Electronic address: denton.debra@epa.gov., Raimondo SM; U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Gulf Breeze, FL, USA. Electronic address: raimondo.sandy@epa.gov., Oliver L; U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Gulf Breeze, FL, USA. Electronic address: oliver.leah@epa.gov., Yuan Y; U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Research Triangle Park, NC, USA. Electronic address: yuan.yongping@epa.gov., Young DF; U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention, Office of Pesticide Programs, Arlington, VA, USA. Electronic address: young.dirk@epa.gov., Hook J; U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention, Office of Pesticide Programs, Arlington, VA, USA. Electronic address: hook.james@epa.gov., Pitchford AM; U.S. Environmental Protection Agency, Office of Research and Development, Retired, Las Vegas, NV, USA. Electronic address: pitchford3@cox.net., Waits E; U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Cincinnati, OH, USA. Electronic address: waits.eric@epa.gov., Purucker ST; U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Research Triangle Park, NC, USA. Electronic address: purucker.tom@epa.gov.
Jazyk: angličtina
Zdroj: Environmental pollution (Barking, Essex : 1987) [Environ Pollut] 2020 Feb; Vol. 257, pp. 113486. Date of Electronic Publication: 2019 Oct 30.
DOI: 10.1016/j.envpol.2019.113486
Abstrakt: Vernal pools are ephemeral wetlands that provide critical habitat to many listed species. Pesticide fate in vernal pools is poorly understood because of uncertainties in the amount of pesticide entering these ecosystems and their bioavailability throughout cycles of wet and dry periods. The Pesticide Water Calculator (PWC), a model used for the regulation of pesticides in the US, was used to predict surface water and sediment pore water pesticide concentrations in vernal pool habitats. The PWC model (version 1.59) was implemented with deterministic and probabilistic approaches and parameterized for three agricultural vernal pool watersheds located in the San Joaquin River basin in the Central Valley of California. Exposure concentrations for chlorpyrifos, diazinon and malathion were simulated. The deterministic approach used default values and professional judgment to calculate point values of estimated concentrations. In the probabilistic approach, Monte Carlo (MC) simulations were conducted across the full input parameter space with a sensitivity analysis that quantified the parameter contribution to model prediction uncertainty. Partial correlation coefficients were used as the primary sensitivity metric for analyzing model outputs. Conditioned daily sensitivity analysis indicates curve number (CN) and the universal soil loss equation (USLE) parameters as the most important environmental parameters. Therefore, exposure estimation can be improved efficiently by focusing parameterization efforts on these driving processes, and agricultural pesticide inputs in these critical habitats can be reduced by best management practices focused on runoff and sediment reductions.
(Copyright © 2019 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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