Morselli, M. and Vitale, C.M. and Ippolito, A. and Villa, S. and Giacchini, R. and Vighi, M. and Di Guardo, A. (2018) Predicting pesticide fate in small cultivated mountain watersheds using the DynAPlus model: Toward improved assessment of peak exposure. Science of The Total Environment, 615. pp. 307-318. ISSN 00489697
Full text not available from this repository.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 appliedto a smallmountainwatershed (133 km2) located in the ItalianEastern Alps and characterized by intensive agriculture (apple orchards) around the main river and its tributaries. DynAPlus performance was evaluated for chlorpyrifos through experimental monitoring, using samples collected during the 2011 and 2012 productive seasons. The comparison between predictions and measurements resulted in a good agreement (R2 = 0.49, efficiency factor 0.60), although a more accurate spatial information in the input scenario (e.g.,field-specific applications, rainfall amount, soil properties) would dramatically improve model performance. A set of illustrative simulations performed for three PPPs highlighted the potential role of DynAPlus in improving exposure predictions for ecological risk assessment and pesticide management practices (e.g., for ac- tive ingredient and application rate selection), as well as for planning efficient monitoring campaigns
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QS Ecology |
| Depositing User: | Marco Vighi |
| Date Deposited: | 20 Nov 2017 10:00 |
| Last Modified: | 01 Feb 2022 15:50 |
| URI: | http://eprints.imdea-agua.org:13000/id/eprint/830 |
Actions (login required)
 |
View Item |
