The DOI matches its Crossref record.
Handbook of Material Flow Analysis
Abstract
In this second edition of a bestseller, authors Paul H. Brunner and Helmut Rechberger guide professional newcomers as well as experienced engineers and scientists towards mastering the art of material flow analysis (MFA) from the very beginning to an advanced state of material balances of complex systems. Handbook of Material Flow Analysis: For Environmental, Resource, and Waste Engineers, Second Edition serves as a concise and reproducible methodology as well as a basis for analysis, assessment and improvement of anthropogenic systems through an approach that is helpfully uniform and standardized. The methodology featured in this book is a vital resource for generating new data, fostering understanding, and increasing knowledge to benefit the growing MFA community working in the fields of industrial ecology, resource management, waste management, and environmental protection. This new second edition takes into account all new developments and readers will profit from a new exploration of STAN software, newly added citations, and thoroughly described case studies that reveal the potential of MFA to solve industrial ecology challenges.
Overview
Integrity signals
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Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The global accounting of plastics flows follows the mass balance principle 7 , ensuring that the inputs and outputs of plastics are accurately tracked across different countries and regions.”
From Complexities of the global plastics supply chain revealed in a trade-linked material flow analysis (2025) · cites this paper as [7]
Citations
Cited by
Corona, B., Shen, L., Reike, D., Rosales Carreón, J., & Worrell, E. (2019) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2019.104498 · Cited by 987
Circular economy strategies for electric vehicle batteries reduce reliance on raw materials
Baars, J., Domenech, T., Bleischwitz, R., Melin, H. E., & Heidrich, O. (2020) · Nature Sustainability · doi:10.1038/s41893-020-00607-0 · Cited by 641
Complexities of the global plastics supply chain revealed in a trade-linked material flow analysis
Houssini, K., Li, J., & Tan, Q. (2025) · Communications Earth & Environment · doi:10.1038/s43247-025-02169-5 · Cited by 363
Watari, T., McLellan, B. C., Giurco, D., Dominish, E., Yamasue, E., & Nansai, K. (2019) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2019.05.015 · Cited by 341
Environmental impacts of phosphorus recovery from municipal wastewater
Amann, A., Zoboli, O., Krampe, J., Rechberger, H., Zessner, M., & Egle, L. (2018) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2017.11.002 · Cited by 325
Self-citation
Metadata
- Authors
- Brunner, P. H., & Rechberger, H.
- Publisher
- CRC Press
- Published
- 2016-12-19
- Cited by
- 236
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Handbook of Material Flow Analysis. https://app.cochat.ai/papers/10.1201/9781315313450
- The paper
- Brunner, P. H., & Rechberger, H. (2016). Handbook of Material Flow Analysis. https://doi.org/10.1201/9781315313450
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.