| Title | Estimating non-hazardous industrial waste generation by sector, location, and year in the United States: A methodological framework and case example of spent foundry sand |
|---|---|
| ID_Doc | 22476 |
| Authors | Li, X; Chertow, M; Guo, SJ; Johnson, E; Jiang, DQ |
| Title | Estimating non-hazardous industrial waste generation by sector, location, and year in the United States: A methodological framework and case example of spent foundry sand |
| Year | 2020 |
| Published | |
| Abstract | 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. (C) 2020 Elsevier Ltd. All rights reserved. |
| http://manuscript.elsevier.com/S0956053X20305043/pdf/S0956053X20305043.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
26750
|
Powell, JT; Chertow, MR Quantity, Components, and Value of Waste Materials Landfilled in the United States(2019)Journal Of Industrial Ecology, 23, 2 | |
| 28017
|
Maalouf, A; Mavropoulos, A Re-assessing global municipal solid waste generation(2023)Waste Management & Research, 41.0, 4 | |
| 2391
|
Vines, V; Pasquali, M; Ganguli, S; Meyer, DE Understanding the trade-offs of national municipal solid waste estimation methods for circular economy policy(2023) | |
| 22182
|
Chen, DMC; Bodirsky, BL; Krueger, T; Mishra, A; Popp, A The world's growing municipal solid waste: trends and impacts(2020)Environmental Research Letters, 15.0, 7 | |
| 23101
|
Gambarotto, F; Magrini, C; Pedrini, G; Stamboglis, N How to map industrial waste metabolism at a geographical level? A proposal for a composite indicator(2022) | |
| 21038
|
Patricio, J; Kalmykova, Y; Rosado, L A method and databases for estimating detailed industrial waste generation at different scales - With application to biogas industry development(2020) | |
| 17767
|
Wang, N; Chai, XX; Guo, ZQ; Guo, CY; Liu, JX; Zhang, J Hierarchy performance assessment of industrial solid waste utilization - tracking resource recycling and utilization centers in China(2023)Environmental Science And Pollution Research, 30, 35 | |
| 5862
|
Hemali, NA; De Alwis, AAP; Wijesundara, M; Edirisinghe, LGLM A method for determining the recycling value of unprocessed municipal solid waste in one cubic meter waste composition analysis technique(2024) | |
| 13242
|
Madden, B; Florin, N; Mohr, S; Giurco, D Spatial modelling of municipal waste generation: Deriving property lot estimates with limited data(2021) | |
| 27265
|
Llanquileo-Melgarejo, P; Molinos-Senante, M The impact of recycling on the productivity of Municipal Solid Waste: a comparison of the Malmquist and Malmquist-Luenberger Productivity Indexes(2023)International Journal Of Sustainable Engineering, 16.0, 1 |