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肥料和农药排放模型对农产品生命周期评估的影响:以丹麦和意大利大麦为例。

The influence of fertiliser and pesticide emissions model on life cycle assessment of agricultural products: The case of Danish and Italian barley.

机构信息

School of Chemical Engineering and Analytical Science, The Mill, Sackville Street, The University of Manchester, Manchester M13 9PL, UK.

AgriFood LCA Lab, Department of Agricultural and Environmental Sciences, Production, Landscape, Agroenergy, Università degli Studi di Milano, via Giovanni Celoria 2, 20133 Milan, Italy.

出版信息

Sci Total Environ. 2017 Aug 15;592:745-757. doi: 10.1016/j.scitotenv.2016.11.183. Epub 2017 Mar 18.

Abstract

Barley is an ancient crop and a great source of nutrients. It is the third largest agricultural commodity produced in Denmark and represents a relevant crop in Italy too. Due to the increasing customers awareness of sustainability issues, it has become essential to evaluate the environmental impact and the use of resources in food production and distribution systems. However, especially in agriculture, difficulties are encountered when emissions from fertilisers and pesticides need to be modelled, due to a variety of modelling options and their dependency on the availability of site-specific information. How to address these difficulties might affect the results reliability. Hence, this study aims to evaluate, using the life cycle assessment (LCA) methodology, the influence of different models for estimating emissions from fertilisers and pesticides on the environmental impacts of barley cultivation in Denmark and Italy. Two models for fertilisers and pesticides' emissions have been applied; these differ on the extent of data requirements and complexity of calculation algorithms, which might increase the results accuracy and robustness. The results show that the modelling options do affect the environmental impacts of barley production, in particular climate change, eutrophication categories, acidification and freshwater eco-toxicity. This study estimates that the variations for such categories range from 15% in the case of climate change to 89% in the case of marine eutrophication. These findings highlight the importance of the emission modelling options as well as the constraints of data requirements, critical aspects when a LCA study on agricultural products is carried out.

摘要

大麦是一种古老的作物,也是一种重要的营养来源。它是丹麦第三大农业商品,在意大利也是一种重要的作物。由于消费者对可持续发展问题的意识不断提高,评估食品生产和分销系统中的环境影响和资源利用变得至关重要。然而,特别是在农业领域,由于需要对肥料和农药的排放进行建模,因此会遇到各种建模选择和对特定地点信息的依赖的困难。如何解决这些困难可能会影响结果的可靠性。因此,本研究旨在使用生命周期评估(LCA)方法,评估不同的肥料和农药排放模型对丹麦和意大利大麦种植的环境影响的影响。已经应用了两种肥料和农药排放模型;这些模型在数据要求的程度和计算算法的复杂性上有所不同,这可能会提高结果的准确性和稳健性。研究结果表明,建模选择确实会影响大麦生产的环境影响,特别是气候变化、富营养化类别、酸化和淡水生态毒性。本研究估计,这些类别中的变化范围从气候变化的 15%到海洋富营养化的 89%。这些发现强调了排放建模选择以及数据要求的约束性的重要性,这是在进行农产品生命周期评估研究时的关键方面。

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