Center for Industrial Ecology, School of the Environment, Yale University, 195 Prospect Street, New Haven, CT 06511, USA.
Master Program in Environmental Management, School of the Environment, Yale University, 195 Prospect Street, New Haven, CT 06511, USA.
Waste Manag. 2020 Dec;118:563-572. doi: 10.1016/j.wasman.2020.08.056. Epub 2020 Sep 26.
Non-hazardous industrial waste (NHIW), primarily consisting of manufacturing process residues, has long been overlooked in waste reporting, regulation, and reuse. Limited information about NHIW generation with spatial and sectoral details has impeded the systematization of reuse efforts to move towards a resource-efficient economy. In this article, we develop a methodological framework that makes the best use of fragmented and limited observational data to infer the confidence intervals of NHIW generation by sector, location, and year across the United States. The framework decomposes the quantity of NHIW into two factors: the activity level (economic output) and the waste intensity factor (waste tonnage generated per unit of output). It statistically infers the probability distribution of the waste intensity factor and extrapolates waste tonnages to the entire country. In our demonstrative application of the method, we provide an updated estimate for spent foundry sand and find that its total amount in the United States decreased from 2.2-7.1 million tons in 2004 to 1.4-4.7 million tons in 2014. The spatial distribution, however, was highly uneven, with over 90% of the waste generated in 10% of the counties, indicating great variations in reuse potentials and benefits among regions. Our methodological framework makes a significant departure from existing estimations that usually rely on averaging limited observations or expert judgments biased by subjectivity. Detailing spatial and sectoral distributions and temporal trends in NHIW generation and reuse benefits, our study could inform more systematic strategies on waste and materials management to build a circular economy.
非危险工业废物(NHIW)主要由制造工艺残余物组成,长期以来在废物报告、法规和再利用中被忽视。由于缺乏有关 NHIW 产生的空间和部门细节的信息,限制了再利用工作的系统化,以迈向资源节约型经济。在本文中,我们开发了一种方法框架,该框架充分利用碎片化和有限的观测数据,推断美国各部门、地点和年份 NHIW 产生的置信区间。该框架将 NHIW 的数量分解为两个因素:活动水平(经济产出)和废物强度系数(每单位产出产生的废物量)。它从统计学上推断废物强度系数的概率分布,并将废物量外推到整个国家。在我们对该方法的示范应用中,我们提供了一个更新的废弃铸造砂总量估计值,并发现其在美国的总量从 2004 年的 220-710 万吨减少到 2014 年的 140-470 万吨。然而,空间分布极不均匀,超过 90%的废物产生在 10%的县,这表明不同地区的再利用潜力和收益存在巨大差异。我们的方法框架与现有估计方法有很大的不同,这些方法通常依赖于对有限观测值的平均处理或受主观性影响的专家判断。详细说明了 NHIW 产生和再利用效益的空间和部门分布以及时间趋势,我们的研究可以为更系统的废物和材料管理策略提供信息,以建立循环经济。