Abstract
The implementation of circular economy in wood industries is an effective way for future sustainable development. The wood industries in China are not in the direction of circular economy approach due to less availability of assessment/calculation data of pollutants as per life cycle assessment (LCA) criteria. The present study focuses on the calculation of emission and pollutants from wood industries as per LCA; the emission and pollution data were collected from fiberboard Medium-density fiberboard (MDF), plywood and particleboard (PB) production. The comparative analysis of dust emissions, industrial waste gases and chemical oxygen demand (COD) were performed among three wood industries. The results revealed that the fiberboard industry was the highest emitter of dust, industrial waste gas and COD; and particleboard industry was the least emitter. Further, results indicated that pollutant index of wood industries were significantly changed between 2015 and 2017; the industrial waste water discharge increased five folds and the COD, dust and industrial gases increased two times. This study provides with the emission and pollutants data of wood industries as per LCA to promote the sustainable development for circular and low carbon economics.
Funding source: Natural Science Foundation of China
Award Identifier / Grant number: 31771724
Funding source: Yang Ling Science and Technology Plan Project
Award Identifier / Grant number: 2017NY-04
Funding source: Basic Scientific Research Business Expenses of Central Public Welfare Research Institutes
Award Identifier / Grant number: ACFYBB2017ZX003013
Funding source: Key Research and Development Project in China
Award Identifier / Grant number: 2018 YFD 060303
Funding statement: This work was supported by Natural Science Foundation of China (31771724), Yang Ling Science and Technology Plan Project (grant no. 2017NY-04), Special Fund for Basic Scientific Research Business Expenses of Central Public Welfare Research Institutes (ACFYBB2017ZX003013), and Key Research and Development Project in China (2018 YFD 060303).
Research funding: This work was supported by Natural Science Foundation of China (31771724), Yang Ling Science and Technology Plan Project (grant no. 2017NY-04), Special Fund for Basic Scientific Research Business Expenses of Central Public Welfare Research Institutes (ACFYBB2017ZX003013), and Key Research and Development Project in China (2018 YFD 060303).
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