Evidence map›Paper›PMID 35686028›Full record

ArticleApplied sciences (Basel, Switzerland)2022

A System for Standardizing and Combining U.S. Environmental Protection Agency Emissions and Waste Inventory Data.

Ben Young, Wesley W Ingwersen, Matthew Bergmann, Jose D Hernandez-Betancur, Tapajyoti Ghosh, Eric Bell, Sarah Cashman

Abstract read
In one paragraph

Article in Applied sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Total cancer risk estimates from measured concentrations of volatile organic compounds in industrialized southeastern Louisiana.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The chemical landscape of high-throughput new approach methodologies for exposure.Journal of exposure science & environmental epidemiology · 2022
    Review
  7. Article
  8. Article
  9. Applied sciences (Basel, Switzerland) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ben YoungEastern Research Group, Inc., Lexington, MA 02421, USA.ORCID 0000-0001-6276-8670
Wesley W IngwersenU.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA.ORCID 0000-0002-9614-701X
Matthew BergmannU.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA.
Jose D Hernandez-BetancurOak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, USA.ORCID 0000-0003-2652-1405
Tapajyoti GhoshEastern Research Group, Inc., Lexington, MA 02421, USA.
Eric BellEastern Research Group, Inc., Lexington, MA 02421, USA.
Sarah CashmanEastern Research Group, Inc., Lexington, MA 02421, USA.ORCID 0000-0001-9859-9557

Funding

EPA 68HERC21D0003EPA EP-C-16-015Intramural EPA EPA999999
6 · The paper itself

Abstract

The U.S. Environmental Protection Agency (USEPA) provides databases that agglomerate data provided by companies or states reporting emissions, releases, wastes generated, and other activities to meet statutory requirements. These databases, often referred to as inventories, can be used for a wide variety of environmental reporting and modeling purposes to characterize conditions in the United States. Yet, users are often challenged to find, retrieve, and interpret these data due to the unique schemes employed for data management, which could result in erroneous estimations or double-counting of emissions. To address these challenges, a system called Standardized Emission and Waste Inventories (StEWI) has been created. The system consists of four python modules that provide rapid access to USEPA inventory data in standard formats and permit filtering and combination of these inventory data. When accessed through StEWI, reported emissions of carbon dioxide to air and ammonia to water are reduced approximately two- and four-fold, respectively, to avoid duplicate reporting. StEWI will greatly facilitate the use of USEPA inventory data in chemical release and exposure modeling and life cycle assessment tools, among other things. To date, StEWI has been used to build the recent USEEIO model and the baseline electricity life cycle inventory database for the Federal LCA Commons.

Indexed as

biennial hazardous waste reportdischarge monitoring reporteGRIDEPA datafacility registry servicegreenhouse gas reporting programNational Emissions InventorypythonRCRAInfosubstance registry servicetool ecosystemToxics Release Inventory

Identifiers

PMID35686028
PMCPMC9175305

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.