Integrated forecasting models of pesticide concentrations and environmental monitoring campaigns Authors Ana Masiá Food and Environmental Safety Research Group, Department of Preventive Medicine, Faculty of Pharmacy, University of Valencia, Valencia, Spain. Yolanda Picó Food and Environmental Safety Research Group, Department of Preventive Medicine, Faculty of Pharmacy, University of Valencia, Valencia, Spain. Maura Calliera Institute of Agricultural and Environmental Chemistry (ICAA), Università Cattolica del Sacro Cuore, Piacenza. Lucrezia Lamastra Institute of Agricultural and Environmental Chemistry (ICAA), Università Cattolica del Sacro Cuore, Piacenza. Federico Ferrari Aeiforia srl, Fidenza. Keywords: pesticides, glyphosate, urea, triazines, geographical information systems (GIS), monitoring data Abstract By integrating agri-environmental databases, mathematical models and geographic information systems, maps showing the potential vulnerability of soils to the leaching of plant protection products can be generated. However, these forecasts may not be subsequently corroborated by monitoring data. Here we present a case study based on glyphosate in Lombardy (Italy) and triazine herbicides in the Autonomous Community of Valencia (Spain). Glyphosate was found in the groundwater of Lombardy, despite modeling results clearly indicating the non-potential risk of groundwater contamination. Among the triazine herbicides in Valencia, simazine, although present in surface waters, was not found in groundwaters, contrary to its expected behavior as a potential leachate. The discrepancy in the behavior of glyphosate can be explained by infiltration and point contamination sources, and the absence of simazine by the facility of its degradation. Our study highlights the importance of integrating modeling and mapping approaches to improve knowledge and to obtain quality data. [Contrib Sci 10:151-160 (2014)] Author Biography Federico Ferrari, Aeiforia srl, Fidenza. Downloads PDF Issue Vol. 10 No. 2 (2014) Section Article License This work is subject, unless the contrary is indicated in the text, the photographs or in other illustrations, to an Attribution —Non-Commercial— No Derivative Works 3.0 Creative Commons License, the full text of which can be consulted at http://creativecommons.org/licenses/by-nc-nd/3.0/. You are free to share, copy, distribute and transmit the work provided that the author is credited and reuse of the material is restricted to non-commercial purposes only and that no derivative works are created from the original material.