Display options
Cite
Morselli M, Vitale CM, Ippolito A, et al. Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure. Sci Total Environ. 2017;615:307-318doi: 10.1016/j.scitotenv.2017.09.287.
Morselli, M., Vitale, C. M., Ippolito, A., Villa, S., Giacchini, R., Vighi, M., & Di Guardo, A. (2018). Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure. The Science of the total environment, 615307-318. https://doi.org/10.1016/j.scitotenv.2017.09.287
Morselli, Melissa, et al. "Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure." The Science of the total environment vol. 615 (2018): 307-318. doi: https://doi.org/10.1016/j.scitotenv.2017.09.287
Morselli M, Vitale CM, Ippolito A, Villa S, Giacchini R, Vighi M, Di Guardo A. Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure. Sci Total Environ. 2018 Feb 15;615:307-318. doi: 10.1016/j.scitotenv.2017.09.287. Epub 2017 Oct 02. PMID: 28982080.
Copy Download .nbib Format: NLM
Share it on

Sci Total Environ. 2018 Feb 15;615:307-318. doi: 10.1016/j.scitotenv.2017.09.287. Epub 2017 Oct 02.

Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure.

The Science of the total environment

Melissa Morselli, Chiara Maria Vitale, Alessio Ippolito, Sara Villa, Roberto Giacchini, Marco Vighi, Antonio Di Guardo

Affiliations

  1. Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, CO, Italy.
  2. Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milano, MI, Italy.
  3. Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100 Como, CO, Italy. Electronic address: [email protected].

PMID: 28982080 DOI: 10.1016/j.scitotenv.2017.09.287

Abstract

The use of plant protection products (PPPs) in agricultural areas implies potential chemical loadings to surface waters, which can pose a risk to aquatic ecosystems and human health. Due to the spatio-temporal variability of PPP applications and of the processes regulating their transport to surface waters, aquatic organisms are typically exposed to pulses of contaminants. In small mountain watersheds, where runoff fluxes are more rapid due to the steep slopes, such exposure peaks are particularly likely to occur. In this work, a spatially explicit, dynamic model for predicting pesticide exposure in surface waters of cultivated mountain basins (DynAPlus) has been developed. The model has been applied to a small mountain watershed (133km

Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords: Curve number; DOC; Dynamic scenario; Orchard; Runoff; Slope

Publication Types