Department of Natural Resources and Environmental Management, University of Haifa , Haifa 3498838, Israel.
Environ Sci Technol. 2015 Oct 6;49(19):11932-40. doi: 10.1021/acs.est.5b02712. Epub 2015 Sep 22.
Implementing public policies often involves navigating an array of choices that have economic and environmental consequences that are difficult to quantify due to the complexity of multiple system interactions. Implementing the mandate for cellulosic biofuel production in the Renewable Fuel Standard (RFS) and reducing hypoxia in the northern Gulf of Mexico by reducing riverine nitrate-N loads represent two such cases that overlap in the Mississippi River Basin. To quantify the consequences of these interactions, a system of systems (SoS) model was developed that incorporates interdependencies among the various subsystems, including biofuel refineries, transportation, agriculture, water resources and crop/ethanol markets. The model allows examination of the impact of imposing riverine nitrate-N load limits on the biofuel production system as a whole, including land use change and infrastructure needs. The synergies of crop choice (first versus second generation biofuel crops), infrastructure development, and environmental impacts (streamflow and nitrate-N load) were analyzed to determine the complementarities and trade-offs between environmental protection and biofuel development objectives. For example, the results show that meeting the cellulosic biofuel target in the RFS using Miscanthus x giganteus reduces system profits by 8% and reduces nitrate-N loads by 12% compared to the scenario without a mandate. However, greater water consumption by Miscanthus is likely to reduce streamflow with potentially adverse environmental consequences that need to be considered in future decision making.
实施公共政策通常涉及到一系列的选择,这些选择会带来经济和环境后果,由于多个系统相互作用的复杂性,这些后果很难量化。在可再生燃料标准(RFS)中实施纤维素生物燃料生产的任务,并通过减少河流硝酸盐-N 负荷来减少墨西哥湾北部的缺氧现象,这两个例子在密西西比河流域相互重叠。为了量化这些相互作用的后果,开发了一个系统的系统(SoS)模型,该模型纳入了各个子系统之间的相互依存关系,包括生物燃料精炼厂、运输、农业、水资源和作物/乙醇市场。该模型允许检查对整个生物燃料生产系统施加河流硝酸盐-N 负荷限制的影响,包括土地利用变化和基础设施需求。分析了作物选择(第一代和第二代生物燃料作物)、基础设施发展和环境影响(水流和硝酸盐-N 负荷)的协同作用,以确定环境保护和生物燃料发展目标之间的互补性和权衡。例如,结果表明,在没有任务的情况下,使用大油芒来实现 RFS 中的纤维素生物燃料目标,会使系统利润减少 8%,并使硝酸盐-N 负荷减少 12%。然而,大油芒的耗水量增加可能会减少水流,从而产生潜在的不利环境后果,这需要在未来的决策中加以考虑。