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Research article - Peer-reviewed, 2003

Analysis of monitoring data of pesticide residues in surface waters using partial order ranking theory

Sorensen PB, Bruggemann R, Carlsen L, Mogensen BB, Kreuger J, Pudenz S


In this investigation, a new and simple way to analyze, interpret, and generalize monitoring data of occurrence of pesticide active ingredients in surface waters was developed. The occurrence is quantified using the variables frequency of detection and the concentration level. These two parameters are associated with basically different ecotoxicological effects; for example, a high frequency of detection may be related to bioaccumulation problems, while the level of concentration also controls the acute toxicological effects. The active ingredients were ranked on the basis of the monitoring data in relation to both the frequency of finding and concentration level using the concept of partial ordered sets. The resulting rankings was correlated with other rankings based on descriptors such as sprayed area, applied dose, adsorption to soil organic carbon, vapor pressure, and soil dissipation half-life. A similarity index was applied in order to compare the ranking of the monitoring data with the ranking of the descriptors. It is shown how partial order theory can be used to evaluate the relevance of every single descriptor. The dosage is found to be the most important descriptor, followed by the sprayed area and the adsorption to organic carbon ending up a very close similarity between, respectively, the rankings using monitoring data and rankings using these three descriptors

Published in

Environmental Toxicology and Chemistry
2003, Volume: 22, number: 3, pages: 661-670
Publisher: SETAC

    SLU Authors

    • Kreuger, Jenny

      • Department of Soil Sciences, Swedish University of Agricultural Sciences

    UKÄ Subject classification

    Agricultural Science

    Publication Identifiers


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