Sustainable use of veterinary pharmaceuticals on the territory (Sust-PHarm): Linking available database of manure management and environmental fate models.

Abstract

Analogously to the evolution of the EU legislation on pesticides, there is an increasing need of strategies aiming to reach a "sustainable use of veterinary pharmaceuticals". To this end, it is essential to develop tools, such as supporting information systems (SIS), for managing the environmental risks of veterinary pharmaceuticals on a territorial scale. In this context, we propose Sust-PHarm (SUSTainable use of veterinary Pharmaceuticals), a SIS useful to identify groundwater vulnerable areas to veterinary pharmaceuticals at both local and regional scale. As background, Sust-PHarm follows the schemes of SIS for pesticides. The latter are based on the integration of predictive models in GIS. The proposed approach goes a step forward by integrating also data on the typologies of livestock farm, their spatial distribution and manure management techniques. This information allows to identify the potential environmental loads of veterinary pharmaceuticals. In this paper, we discuss the innovative elements characterizing Sust-PHarm through a comparison with the SIS currently used for pesticides. The advantages of Sust-PHarm are discussed using Lombardia Region (Northern Italy) as a case study. Simulations were made on 12 veterinary pharmaceuticals characterized by different physical-chemical properties. Results are compared with the current guidelines for the evaluation of veterinary pharmaceuticals leaching highlighting some substantial differences when realistic data are utilized making our approach more accurate than guidelines one.

DOI: 10.1016/j.scitotenv.2016.09.168

Cite this paper

@article{Guardo2017SustainableUO, title={Sustainable use of veterinary pharmaceuticals on the territory (Sust-PHarm): Linking available database of manure management and environmental fate models.}, author={Andrea Di Guardo and Antonio Finizio}, journal={The Science of the total environment}, year={2017}, volume={575}, pages={1014-1026} }