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首页> 外文期刊>Biofuels, bioproducts & biorefining: Biofpr >Multimetric spatial optimization of switchgrass plantings across a watershed
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Multimetric spatial optimization of switchgrass plantings across a watershed

机译:流域跨越平方公司的多级空间优化

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The increasing demand for bioenergy crops presents our society with the opportunity to design more sustainable landscapes. We have created a Biomass Location for Optimal Sustainability Model (BLOSM) to test the hypothesis that landscape design of cellulosic bioenergy crop plantings may simultaneously improve water quality (i.e. decrease concentrations of sediment, total phosphorus, and total nitrogen) and increase profits for farmer-producers while achieving a feedstock-production goal. BLOSM was run using six scenarios to identify switchgrass (Panicum virgatum) planting locations that might supply a commercial-scale biorefinery planned for the Lower Little Tennessee (LLT) watershed. Each scenario sought to achieve different sustainability goals: improving water quality through reduced nitrogen, phosphorus, or sediment concentrations; maximizing profit; a balance of these conditions; or a balance of these conditions with the additional constraint of converting no more than 25% of agricultural land. Scenario results were compared to a baseline case of no land-use conversion. BLOSM results indicate that a combined economic and environmental optimization approach can achieve multiple objectives simultaneously when a small proportion (1.3%) of the LLT watershed is planted with perennial switchgrass. The multimetric optimization approach described here can be used as a research tool to consider bioenergy plantings for other feedstocks, sustainability criteria, and regions. Published in 2012 by John Wiley & Sons, Ltd
机译:生物能源作物的需求日益增长为我们的社会提供了设计更可持续的景观。我们已经创建了最佳可持续性模型(BLOSM)的生物质位置,以测试纤维素生物能量作物种植景观设计的假设可以同时提高水质(即降低沉积物,总磷和总氮的浓度),并增加农民利润生产者同时实现原料生产目标。使用六种场景运行Blosm来识别可能为较低的小田纳西州(LLT)流域提供商业规模生物术语的交换场(Panicum Virgatum)种植地点。每种情况都试图实现不同的可持续发展目标:通过降低的氮,磷或沉积物浓度提高水质;利润最大化;这些条件的平衡;或这些条件的余额,额外约束不超过25%的农业土地。将场景结果与无土地使用转换的基线情况进行比较。 BLOSM结果表明,当少量平地(1.3%)占多年生交叉草的小比例(1.3%)时,组合的经济和环境优化方法可以同时达到多种目标。这里描述的多电动优化方法可用作考虑用于其他原料,可持续性标准和地区的生物能量种植的研究工具。于2012年由John Wiley&Sons,Ltd发布

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