Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 181

The DOI matches its Crossref record.

Detection of Excess Ammonia Emissions from In-Use Vehicles and the Implications for Fine Particle Control

Fraser, Matthew P., Cass, Glen R.·1998·Environmental Science & Technology

Abstract

The emission rate for ammonia from in-use vehicles is calculated based on measurements made inside a Los Angeles roadway tunnel. Using fleet distributions by vehicle age and type, known catalyst distributions, and fuel economy by model year and vehicle type and attributing all ammonia to vehicles equipped with three-way catalysts or three-way catalysts plus oxidizing catalysts (dual-bed catalysts), we estimate an average ammonia emission rate of 72 mg km -1 for these vehicles, or 61 mg km -1 driven by the vehicle fleet as a whole. These emissions can emanate from vehicles running under rich air−fuel conditions, with three-way catalytic converters designed to reduce NO x to N 2 and O 2 in addition forming NH 3 . Resulting calculations estimate ammonia emissions of 24−29 t of NH 3 day -1 from the vehicle fleet for the South Coast Air Basin (SoCAB) that surrounds Los Angeles. This represents an increase in the daily emissions of ammonia attributable to motor vehicles in the SoCAB from 2% of basin wide emissions before the introduction of catalyst-equipped automobiles to 15% based on the current experiment. The air basin wide emission rate of ammonia from motor vehicles is compared to ammonia emissions from livestock waste decomposition at local dairies, and the implications for control of fine particle ammonium nitrate concentrations are discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/es970382h

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 181

Metadata

Authors
Fraser, M. P., & Cass, G. R.
Venue
Environmental Science & Technology
Published
1998-03-06
Volume
32
Issue
8
Pages
1053-1057
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2026599564
Cited by
181
References
0
FWCI
19.15
Type
journal article
Language
en
Open access
closed

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Detection of Excess Ammonia Emissions from In-Use Vehicles and the Implications for Fine Particle Control. https://app.cochat.ai/papers/10.1021/es970382h
The paper
Fraser, M. P., & Cass, G. R. (1998). Detection of Excess Ammonia Emissions from In-Use Vehicles and the Implications for Fine Particle Control. Environmental Science & Technology. https://doi.org/10.1021/es970382h

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.