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published_or_final_version / Chemistry / Doctoral / Doctor of Philosophy

The purpose of the report was to do an inventory of nursery gardens in the surroundings of Umeå and to find which one of the nursery gardens that had the greatest risk of being polluted by pesticides and to examine which pesticides that had been used in the nursery gardens in the past. Five nursery gardens were selected and examined through interviews, visits and protocols from the municipality of Umeå and from that information an assessment by the methods for inventory of polluted soil (MIFO), which the Swedish form of EPA has designed, has been done. The historical use of pesticides on each site was examined through interviews, visits and protocols from municipality of Umeå. The result showed that two of the nursery gardens had a great risk of being polluted and the total historical use of pesticides resulted in total 107 different products. In conclusion the two of the nursery gardens that had a great risk of being polluted will eventually have to take sample of the soil for further analysis.

Le pesticide organophosphoré azinphos-méthyle (AZM) voit son efficacité de photodégradation augmenter avec l'énergie d'excitation, vraisemblablement dû à des différences de réactivité entre états excités. Sa dégradation sous excitation directe conduit à la formation de benzotrione qui se dégrade en l'acide anthranilique. Un autre organophosphoré, le cyanophos, se dégrade sous excitation directe en faisant intervenir les états excités triplet et singulet pour former : le 4-cyanophénol, le cyanophos-oxon et un dérivé de l'acide benzoïque. Le dépot de l'AZM dans l'argile conduit à une meilleur absorption de la lumière solaire. Sa photodégradation sur argiles et oxyde de fer est efficace, avec une vitesse dépendant essentiellement de la nature et de l'épaisseur du solide du taux d'humidité et de fer(III). L'AZM se dégrade par des processus issus d'une excitation directe et d'autres photoinduits par le support. La formation de radicaux hydroxyles a également été mise en évidence

A field study was conducted to determine the applicability of multivariate geostatistical methods to the problem of estimating and simulating pesticide concentrations in groundwater from measured concentrations of nitrate and pesticide, when pesticide is undersampled. Prior to this study, no published attempt had been made to apply multivariate geostatistics to groundwater contamination. The study was divided into two complementary aspects of geostatistics: estimation and simulation. The use of kriging and cokriging to estimate nitrate and the herbicide dimethyl tetrachloroterepthalate (DCPA) contaminant densities is described in Chapter I. Measured concentrations of nitrate and the DCPA were obtained for 42 wells in a shallow unconfined alluvial and basin-fill aquifer in a 16.5 km² agricultural area in eastern Oregon. The correlation coefficient between log(nitrate) and log(DCPA) was 0.74. Isotropic, spherical models were fitted to experimental direct- and cross-semivariograms with correlation ranges and sliding neighborhoods of 4 km. The relative gain for estimates obtained by cokriging ranged from 14 to 34%. Additional sample locations were selected for nitrate and DCPA using the fictitious point method. A simple economic analysis demonstrated that additional nitrate samples would be more beneficial in reducing estimation variances than additional DCPA samples, unless the costs of nitrate and DCPA analysis were identical. These estimates are by definition, the Best Linear Unbiased Estimates (i.e., the estimates with minimized estimation variance), however the requirement of minimized variance smoothes the variability of contaminant values. The application of conditional simulations to groundwater contamination is described in Chapter 11. Conditional simulation allows the degree of fluctuation of nitrate and DCPA between sample points to be assesed. With knowledge of both the 'best' estimates and the of the variability between sample points, nitrate and DCPA groundwater contamination in the study area can be characterized Based on the semivariogram models found in Chapter I, univariate and multivariate conditional simulations of nitrate and DCPA were generated using the turning bands method and the kriging or cokriging system. Kriging was used to condition the univariate simulations, while cokriging was used to cross-correlate and condition the multivariate simulations. The mean of 25 conditional and coconditional simulations at 8 different locations in the study area were generated and compared to kriging and cokriging estimates and 95% confidence intervals. Both conditional and coconditional simulation of the DCPA and nitrate contaminant densities showed large variations when values in different simulations were compared. The fluctuation in values demonstrate the uncertainties in the contaminant distributions when sample sizes are small. As a result of this unkown component, simulated values vary widely. Coconditional simulation displayed the cross-correlation imposed by using the cokriging system to condition the simulations. After 25 simulations, the mean remained unstable indicating that more simulations would be required to enable comparisons with kriging and cokriging estimates. / Graduation date: 1989

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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

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