Improving the reliability of chemical manufacturing life cycle inventory constructed using secondary data.

ABSTRACT: This study proposes methods to improve data mining workflows for modeling chemical manufacturing life cycle inventory. Secondary data sources can provide valuable information about environmental releases during chemical manufacturing. However, the often facility-level nature of the data challenges their utility for modeling specific processes and can impact the quality of the resulting inventory. First, a thorough data source analysis is performed to establish data quality scoring and create filtering rules to resolve data selection issues when source and species overlaps arise. A method is then introduced to develop context-based filter rules that leverage process metadata within data sources to improve how facility air releases are attributed to specific processes and increase the techno

SUBMITTER: Meyer DE 

PROVIDER: S-EPMC8048110 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature