A GIS based model approach to assess environmental risk and risk to human health risk on regional level

The present deliverable is about the development of a novel web-based tool for environmental risk assessment considering regional environmental and field conditions based on the methodology of the risk indicator model SYNOPS. The aim was to develop an online application in order to make the indicator SYNOPS available as an easy-to-use online tool, which can be used by farmers, advisors and stakeholders for risk analysis and comparison of single pesticides application strategies under region specific environmental and field conditions. Within the EU project PURE, SYNOPS-WEB was applied for ex-ante and ex-post assessment of the newly designed IPM strategies for the different crops in cropping systems activity

The user of this newly developed tool can select a certain field by using a map-service, choose a crop to be treated and enter the pesticide applications to be tested. With the field selection, SYNOPS-WEB will automatically extract the field and environmental parameters which are necessary to assess the aquatic and terrestrial risk from the soil geographical database of Eurasia, a database on the soil erodibillity and a generalised land-use map, which lists the most important land-use types (annual corps, grass, permanent crops and rice). In addition, interpolated datasets for mean monthly temperature and precipitation are linked for meteorological input parameters. Furthermore, a database of about 500 active ingredients and a dataset of all registered pesticides in Germany are linked to the tool. Using these datasets, the user can easily choose an active ingredient or products to be applied and enter the application date, rate, area and the type of equipment used. SYNOPS-WEB then calculates and displays risk indices in the form of tables or charts per active ingredient or for the complete pesticide use strategies. These results can be downloaded as Excel-tables, XML-files or as report files.

The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ 2007-2013) under the grant agreement n°265865- PURE