Evidence map›Paper›PMID 32150678›Full record

ArticleEnvironmental science & technology2020

Using Vehicles' Rendezvous for In Situ Calibration of Instruments in Fleet Vehicle-Based Air Pollution Mobile Monitoring.

Jianbang Xiang, Elena Austin, Timothy Gould, Timothy Larson, Michael Yost, Jeffry Shirai, Yisi Liu, Sukyong Yun, Edmund Seto

Abstract read
In one paragraph

Article in Environmental science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Residential cooking-related PMBuilding and environment · 2021
    Article
  6. Article
  7. 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

9 authors at 1 institution in 1 country.

Jianbang XiangDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-5196-2574
Elena AustinDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-4724-1042
Timothy GouldDepartment of Civil & Environmental Engineering, University of Washington, Seattle, Washington 98195, United States.
Timothy LarsonDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
Michael YostDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
Jeffry ShiraiDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-9864-532X
Yisi LiuDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0001-6974-1462
Sukyong YunDepartment of Civil & Environmental Engineering, University of Washington, Seattle, Washington 98195, United States.
Edmund SetoDepartment of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States.
University of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI ALI SHOJAIE · 1995 to 2026
$42.5M
NIEHS NIH HHS P30 ES007033
6 · The paper itself

Abstract

This study examines the feasibility of the in situ calibration of instruments for fleet vehicle-based mobile monitoring of ultrafine particles (UFPs) and black carbon (BC) by comparing rendezvous vehicle measurements. Two vehicles with identical makes and models of UFP and BC monitors as well as GPS receivers were sampled within 140 m of each other for 2 h in total during winter in Seattle, Washington. To identify an optimal intervehicle distance for rendezvous calibration, 6 different buffers within 0-140 m for UFP monitors and 5 different buffers within 0-90 m for BC monitors were chosen, and the results of calibration were compared against a reference scenario, which consisted of mobile colocation measurements with both sets of the UFP and BC monitors deployed in one of the vehicles. Results indicate that the optimal distances for rendezvous calibration are 10-80 m for UFP monitors and 0-30 m for BC monitors. In comparison with the mobile colocation calibration, the rendezvous calibration shows a normalized root mean squared deviation of 6-14% and a normalized mean absolute deviation of 4-8% for these monitors. Criteria for applying a rendezvous calibration approach are presented, and an extension of this approach to an instrumented fleet of mobile monitoring vehicles is discussed.

Indexed as

Air PollutantsAir PollutionCalibrationEnvironmental MonitoringParticulate MatterVehicle EmissionsWashingtonAir PollutantsParticulate MatterVehicle Emissions

Identifiers

PMID32150678
PMCPMC13187943
OpenAlexW3011668015

What OpenQuestion holds

Textmetadata
LicenceTDM
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.