A GIS-based procedure for the surface water risk assessment of agricultural chemicals is described. It is based on the integration of relational and spatial databases, GIS incorporating raster and vector, mass balance models and pesticide risks indicators. Surface water pollution was modelled by taking into account two main processes: the load due to drift and the load due to a rainfall-runoff event. The former is immediately consequent to pesticide application; the second occurs a short period afterwards. The procedure allows estimating the time trend of PECs (Predicted Environmental Concentrations) after pesticide application. The procedure has been successfully validated with experimental data. Exposure values are integrated with effect data and ecosystem characteristics for mapping ecotoxicological risk. Examples of application from the small to the medium scale are presented. For the terrestrial environment, the major exposure route is deposition on soil and vegetation due to drift after application. Procedures are under development for mapping ecotoxicological risk for terrestrial invertebrates (hypogean and epigean) and for birds.
Sala, S., Verro, R., Vighi, M. (2007). Mapping pesticide ecotoxicological risk for aquatic and terrestrial ecosystems. In Proceedings of the 1st open international NoMiracle workshop, Verbania - Intra, Italy June 8-9 2006. Ecological and Human Health Risk Assessment: Focussing on complex chemical risk assessment and the identification of highest risk conditions (pp.74-78).
Mapping pesticide ecotoxicological risk for aquatic and terrestrial ecosystems
SALA, SERENELLA;VIGHI, MARCO
2007
Abstract
A GIS-based procedure for the surface water risk assessment of agricultural chemicals is described. It is based on the integration of relational and spatial databases, GIS incorporating raster and vector, mass balance models and pesticide risks indicators. Surface water pollution was modelled by taking into account two main processes: the load due to drift and the load due to a rainfall-runoff event. The former is immediately consequent to pesticide application; the second occurs a short period afterwards. The procedure allows estimating the time trend of PECs (Predicted Environmental Concentrations) after pesticide application. The procedure has been successfully validated with experimental data. Exposure values are integrated with effect data and ecosystem characteristics for mapping ecotoxicological risk. Examples of application from the small to the medium scale are presented. For the terrestrial environment, the major exposure route is deposition on soil and vegetation due to drift after application. Procedures are under development for mapping ecotoxicological risk for terrestrial invertebrates (hypogean and epigean) and for birds.
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