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Other ORP type . 2022
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An approach to quantifying the key greenhouse gas emissions in California concrete production

Authors: Miller, Sabbie;

An approach to quantifying the key greenhouse gas emissions in California concrete production

Abstract

The objective of this study is to develop a cohesive, unified dataset of life cycle inventories - needed to quantify the effects of material, energy, waste, and emission flows on the environmental impacts of concrete. The models developed will consider GHG emissions, namely CO2, CH4, and N2O emissions, for the key components of cement and concrete production in California. The structure of the data will allow for the tailoring of inputs to capture variations in different regions around the world. This allows the user to adapt for production in other regions or for importing material from other regions.

Data are limited to values found by the authors and are not necessarily representative of consistent or specific spatial or temporal attributes.Funding provided by: National Center for Sustainable Transportation TechnologyCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100018880Award Number: 65A0686 TO27

Data are based on the academic and grey literature. References and methods for determining inputs are in the attached files.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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