Werlley Cristiano de Oliveira, Samantha Rodrigues de Araújo, Lásara Fabrícia Rodrigues, João Flávio de Freitas Almeida
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引用次数: 0
Abstract
Iron ore tailings (IOTs) need to be properly managed to mitigate the environmental, social, and economic impacts of mining activities. To cope with this issue, we use data envelopment analysis (DEA) to evaluate alternatives for using IOT in the construction sector. The classical and weight restriction output-oriented DEA models were used in this analysis. The results show that the ranking of alternatives depends on the aspect being evaluated. Concrete block is the most environmentally friendly alternative when analysing both models. For both social and economic aspects, ceramics produced better results in the classical model, whereas Portland cement showed better outcomes in the weight restriction model. In this sense, the results suggest great potential for the use of IOT in the construction sector, enabling the reduction of risks and social and environmental impacts of tailings dams.
铁矿石尾矿(IOT)需要妥善管理,以减轻采矿活动对环境、社会和经济的影响。为了解决这个问题,我们使用数据包络分析法(DEA)来评估建筑行业使用 IOT 的替代方案。分析中使用了经典的和以权重限制为导向的产出 DEA 模型。结果表明,替代品的排序取决于所评估的方面。在对两种模型进行分析时,混凝土砌块是最环保的替代品。在社会和经济方面,陶瓷在经典模型中的结果更好,而波特兰水泥在重量限制模型中的结果更好。从这个意义上说,这些结果表明,物联网在建筑领域的应用具有巨大潜力,可以降低尾矿坝的风险和对社会及环境的影响。
期刊介绍:
Waste Management & Research (WM&R) publishes peer-reviewed articles relating to both the theory and practice of waste management and research. Published on behalf of the International Solid Waste Association (ISWA) topics include: wastes (focus on solids), processes and technologies, management systems and tools, and policy and regulatory frameworks, sustainable waste management designs, operations, policies or practices.