Department of Biosystems Engineering, Faculty of Animal Science and Food Engineering (FZEA), University of São Paulo (USP), Pirassununga, SP, Brazil.
Department of Production Engineering, Engineering School of Lorena (EEL), University of São Paulo (USP), Lorena, SP, Brazil.
Environ Monit Assess. 2024 Sep 23;196(10):973. doi: 10.1007/s10661-024-13141-9.
Brazil has historically invested few resources in its transport infrastructure, leaving gaps and reducing its efficiency. The country presents a high dependence on road transport, which results in increased operational costs and higher greenhouse gas (GHG) emissions. Consequently, the performance of cargo transportation in Brazil has been deteriorating, accompanied by a rise in the consumption of fossil fuels and noteworthy levels of GHG emissions. This article assesses the carbon intensity of soybean transport operations within Brazil. Utilizing a network equilibrium model, this study estimated the soybean transportation flows that minimize the total cost of transporting this product across the origins and destinations within the grain handling system. The modeling also calculated the GHG emissions in transportation. The results show that the transportation of soybeans produced 2.74 million tonnes of CO2 equivalent annually, with road transport accounting for 81.7% of these emissions. The state of Mato Grosso, responsible for 44.08 kg CO2 equivalent per tonne of soybeans transported, contributed almost 49% of the total emissions due to the extensive distances involved. In contrast, states like Paraná and Rio Grande do Sul, located closer to southern ports, exhibited the lowest emissions, with rates of 11.55 kg CO2 eq/t and 12.52 kg CO2 eq/t, respectively. The analysis highlights the significant potential for reducing GHG emissions by increasing the use of rail and barge transport, particularly in high-emission regions such as Mato Grosso.
巴西在其交通基础设施建设方面投入的资源很少,导致基础设施存在缺口,降低了运输效率。巴西高度依赖公路运输,这导致运营成本增加,温室气体(GHG)排放量上升。因此,巴西的货运表现一直在恶化,同时伴随着化石燃料消耗的增加和显著的 GHG 排放水平。本文评估了巴西境内大豆运输作业的碳强度。利用网络均衡模型,本研究估计了在谷物处理系统内,将产品从产地运输到目的地的总成本最低的大豆运输流。建模还计算了运输过程中的 GHG 排放。结果表明,大豆运输每年产生 274 万吨二氧化碳当量,其中 81.7%的排放量来自公路运输。马托格罗索州是巴西大豆的主要产地,其运输每吨大豆产生 44.08 千克二氧化碳当量,由于运输距离长,该州的排放量几乎占总排放量的 49%。相比之下,巴拉那州和南里奥格兰德州等靠近南部港口的州,排放量较低,分别为 11.55 千克二氧化碳当量/吨和 12.52 千克二氧化碳当量/吨。该分析强调了通过增加铁路和驳船运输的使用来减少 GHG 排放的巨大潜力,特别是在马托格罗索等高排放地区。