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The Impact of Pesticides - Academy Publish

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are many ranking systems <strong>of</strong> dangerous substances based primarily on theaggregation <strong>of</strong> intensive or semi intensive parameters. However, this approach tendsto ignore a fundamental extensive parameter: the amount <strong>of</strong> substance in theenvironment as regards concentration. In the cases where it is considered, thisparameter is very <strong>of</strong>ten estimated by models <strong>of</strong> fugacity (i.e. see Sanchez-Bayo etal., 2002; Ares, 2004; Padovani et al., 2004); based on the amounts <strong>of</strong> substancesreleased into the environment (i.e. see Swanson et al., 1997; Finizio et al., 2001; DeSmet et al., 2005; Yazgan and Tania, 2005) based on transport models (Kookana etal., 2005). Without this parameter, it is impossible to delineate the exposure, andthus, the analysis does not result in a risk analysis <strong>of</strong> substances, it is rather oneabout their dangerousness (MacKay et al., 2001), resulting in less analytical powerfor decision-making.In a dangerousness index, the literature stated that is desirable it can handle theconcept <strong>of</strong> "risk" within the meaning <strong>of</strong> "technical concept <strong>of</strong> risk"; that is, toconsider the extent <strong>of</strong> damage depending on its occurrence likelihood (Maud et al.,2001). Comparative analysis systems <strong>of</strong> the dangers <strong>of</strong> pesticides based on risk onlyfocus either on the ecotoxicological risk (i.e. Palma et al., 2004) or on human risk(i.e. Ares, 2004). <strong>The</strong> DelAzulPestRisk model focuses on both in an integratedmanner and based on concentrations measured in situ. This draws to a flexibleestimating system <strong>of</strong> the human exposure to substances deducted from recreationaluse <strong>of</strong> an affected, and thus, real environment and does not estimate the exposureindirectly, from the emission <strong>of</strong> data <strong>of</strong> substances to the environment. In addition tothe uncertainties inherent in estimation models (<strong>of</strong> which the DelAzulPestRiskmodel is not exempt), the uncertainties <strong>of</strong> the information <strong>of</strong> the survey about theuse <strong>of</strong> pesticides have to be added (formulations, emission rates, etc.). Thisinformation is not easily obtained locally in developing countries such as Argentina,as highlighted by Feola, et al. (2011) in his study on the selection <strong>of</strong> an index to beapplied in Colombia. DelAzulPestRisk is also a snapshot methodology thatintegrates available information locally to respond to the guidelines set forth byLevitan (1995; 1997).<strong>The</strong> probabilistic analysis, while some simplicity is subtracted (one more desirablecharacteristic <strong>of</strong> these systems explained by Maud et al. (2001)), provides a greaterchoice <strong>of</strong> estimation and uncertainty analysis. <strong>The</strong> results <strong>of</strong> applying theDelAzulPestRisk model showed that Cypermethin is the priority substance to studyin the system, even though it is neither the most toxic to humans or biotaconsidering toxicological reference values, nor the one that possesses the greatestpersistence or the greatest bioaccumulation potential. Other methodologiesexclusively based on intensive characteristics would have highlighted othersubstances that simultaneously meet higher levels <strong>of</strong> environmental dangerousnessover Cypermethrin.<strong>The</strong> sensitivity analysis showed the great importance <strong>of</strong> examining closely theevolution <strong>of</strong> the concentrations <strong>of</strong> this substance. Concentrations considered in thecontext <strong>of</strong> the analysis <strong>of</strong> human and ecological risk together with their persistence<strong>Academy</strong><strong>Publish</strong>.org - <strong>The</strong> <strong>Impact</strong> <strong>of</strong> <strong>Pesticides</strong>258

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