A risk-based decision tool for the management of organic waste in agriculture and farming activities (FARMERS)

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• 作者：Miguel Rí ; o ; Amaya Franco-Urí ; a ; Emilio Abad ; Enrique Roca
• 关键词：Cattle manure ; Pastureland fertilising ; Decision support tool ; Metal accumulation ; Risk assessment
• 刊名：Journal of Hazardous Materials
• 出版年：2011
• 出版时间：30 January 2011
• 年：2011
• 卷：185
• 期：2-3
• 页码：792-800
• 全文大小：846 K

文摘

Currently, specific management guidelines must be implemented for guaranteeing the safe reuse of organic waste in agriculture. With that aim, this work was focused on the development of a decision support tool for a safe and sustainable management of cattle manure as fertiliser in pastureland, to control and limit metal accumulation in soil and to reduce metal biotransfer from soil to other compartments. The system was developed on the basis of an environmental risk assessment multi-compartmental model. In contrast to other management tools, a long-term dynamic modelling approach was selected considering the persistence of metals in the environment. A detailed description of the underlying flow equations which accounts for distribution, human exposure and risk characterisation of metals in the assessed scenario was presented, as well as model parameterization. The tool was implemented in Visual C++ and is structured on a data base, where all required data is stored, the risk assessment model and a GIS module for the visualization of the scenario characteristics and the results obtained (risk indexes). The decision support system allows choosing among three estimation options, depending on the needs of the user, which provide information to both farmers and policy makers. The first option is useful for evaluating the adequacy of the current management practices of the different farms, and the remaining ones provides information on the measures that can be taken to carry out a fertilising plan without exceeding risk to human health. Among other results, maximum values of application rates of manure, maximum permissible metal content of manure and maximum application times in a particular scenario can be estimated by this system. To illustrate tool application, a real case study with data corresponding to different farms of a milk production cooperative was presented.