Development of scenarios for drinking water produced from groundwater and surface water for use in the pesticide registration procedure of Ethiopia

P.I. Adriaanse, M.M.S. ter Horst, B.M. Teklu, J.W. Deneer, A. Woldeamanuel, J.J.T.I. Boesten

Research output: Book/ReportReportProfessional

Abstract

In the Pesticide Risk Reduction Programme Ethiopia the evaluation of risks of pesticides present in drinking water for man and cattle was selected as a priority protection goal. In cooperation with the Plant Health Regulatory Department of the Ministry of Agriculture of Ethiopia and other Ethiopian stakeholders Alterra developed a procedure to assess the risks for drinking water caused by pesticides, used according to Good Agricultural Practices (GAP). To do so, ‘realistic worst case’ scenarios were developed, that intend to protect man and cattle in 99% of all possible situations in Ethiopia. For groundwater three scenarios representing wells in aquifers in the Ethiopian highlands or Rift Valley margins were developed and for surface water three scenarios representing small rivers in the highlands or temporay stagnant ponds were developed. The scenarios were linked to crops on which pesticides are used that score high on acute, chronic or local chronic risk for man. In addition other agro-environmental conditions were defined, such as precipitation, soil, and land use management. The groundwater scenarios were parameterised in the EuroPEARL metamodel to calculate leaching concentrations to groundwater, whereas the surface water scenarios make use of the runoff model PRZM, the EU-FOCUS spray drift deposition table and the surface water model TOXSWA to calculate the concentration in the small river or pond scenarios
Original languageEnglish
Place of PublicationWageningen
PublisherAlterra, Wageningen-UR
Publication statusPublished - 2015

Publication series

NameAlterra report
PublisherAlterra Wageningen UR
No.2674
ISSN (Print)1566-7197

Keywords

  • groundwater extraction
  • drinking water
  • pesticides
  • scenario analysis
  • models
  • ethiopia

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