Caractérisation expérimentale des émissions de pesticides vers l'air pendant les pulvérisations viticoles

Abstract : Upward spray loss assessment, during a standard air-assisted application, was carried out using a fluorescent tracer dye and PVC lines as collectors. Linear multiple regression and fuzzy logic inference were used to evaluate the effects of microclimatic conditions on two droplet size distribution applications (fine and very fine). Multiple regression models were built for each test series, defined by their size droplet distribution. For the fine application the significant variables were wind speed, air temperature and wet bulb temperature depression (DeltaT), obtaining a determination coefficient equal to 0.70. In the very fine treatment model the atmospheric stability parameter turned out to be also significant; the determination coefficient was equal to 0.82. Spray losses were also predicted with fuzzy inference systems and good determination coefficients were obtained (R2=0.72 for fine spray and 0.66 for very fine spray). Interpretable rules were fixed for microclimatic characterization, for two different droplet distributions. Both tools could be combined with physical modelling to evaluate air pollution and spray drift from simplified field tests.
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Submitted on : Wednesday, February 7, 2007 - 9:40:25 AM
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Yvan Gil. Caractérisation expérimentale des émissions de pesticides vers l'air pendant les pulvérisations viticoles. Génie des procédés. Ecole nationale superieure agronomique de montpellier - AGRO M, 2007. Français. 〈tel-00129376〉

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