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Optimal allocation of tomato supply to minimize greenhouse gas emissions in major U.S. metropolitan markets
Resources, Conservation and Recycling ( IF 13.2 ) Pub Date : 2022-09-20 , DOI: 10.1016/j.resconrec.2022.106660
Eric Bell, Yuwei Qin, Arpad Horvath

Our food system is very resource and emissions intensive and contributes to a broad range of environmental impacts. We have developed cradle-to-market greenhouse gas emissions estimates of supplying fresh tomatoes to 10 of the largest metropolitan areas in the United States and applied a linear optimization algorithm to determine the optimal tomato distribution scheme that will minimize tomato-related greenhouse gas emissions across all 10 areas. Monte Carlo simulation was performed to assess the uncertainties in the data. Results indicate that the current tomato distribution scheme is suboptimal. Reallocation of the fresh tomato supply across the 10 areas could decrease transportation-related emissions by 34% and overall tomato-related greenhouse gas emissions by 13%—from 277,000 metric tons of CO2e to 242,000 metric tons of CO2e. Production practices and geographic conditions (such as soil and climate) are more significant for GHG emissions than the supply allocation or the seasonality of supply.



中文翻译:

番茄供应的最佳分配,以最大限度地减少美国主要大都市市场的温室气体排放

我们的食品系统是资源和排放密集型的,对广泛的环境影响做出了贡献。我们开发了从摇篮到市场的温室气体排放估算,为美国 10 个最大的大都市地区供应新鲜番茄,并应用线性优化算法来确定最佳番茄分配方案,以最大限度地减少与番茄相关的温室气体排放。所有 10 个区域。进行蒙特卡罗模拟以评估数据中的不确定性。结果表明,当前的番茄分配方案并不理想。在 10 个地区重新分配新鲜番茄供应可以减少 34% 的运输相关排放量和 13% 的番茄相关温室气体排放量——从 277,000 公吨 CO 2e 至 242,000 公吨 CO 2 e。生产实践和地理条件(如土壤和气候)对温室气体排放的影响比供应分配或供应季节性更为重要。

更新日期:2022-09-20
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