Evidence map›Paper›PMID 35815158›Full record

ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2022

Lagrangian dynamics of contaminant particles released from a point source in New York City.

Wayne R Oaks, Seokkoo Kang, Xiaolei Yang, Ali Khosronejad

Abstract read
In one paragraph

Article in Physics of fluids (Woodbury, N.Y. : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Wayne R OaksDepartment of Civil Engineering, Stony Brook University, Stony Brook, New York 11794, USA.
Seokkoo KangDepartment of Civil and Environmental Engineering, Hanyang University, Seoul 04763, South Korea.
Xiaolei YangSchool of Engineering Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID https://orcid.org/0000-0002-2606-0672
Ali KhosronejadDepartment of Civil Engineering, Stony Brook University, Stony Brook, New York 11794, USA.ORCID https://orcid.org/0000-0002-9549-3746

Funding

Use of DNATrax and high fidelity computational methods to model transport of contaminants in urban environmentsR44ES025070 · NIEHS · SAFETRACES, INC. · PI HEREDIA, NICHOLAS J · 2018 to 2019
$981k
NIEHS NIH HHS R44 ES025070
6 · The paper itself

Abstract

In this study, we investigated the transport of contaminants in the southern tip of Manhattan, New York City, under prevailing wind conditions. We considered a hypothetical contaminant particle release on the East side of the New York Stock Exchange at 50 m above the ground level. The transport of individual particles due to the wind flow in the city was simulated by coupling large-eddy simulations (Eulerian) with a Lagrangian model. The simulation results of our coupled Eulerian and Lagrangian approach showed that immediately after the contaminant particles are released, they propagate downwind and expand in the spanwise direction by ∼0.5 km. Specifically, approximately 15 min after the release, the contaminant particles reach the end of the 2.5-km-long study area with a mean velocity of 1.8 m/s, which is approximately 50% of the dominant wind velocity. With the cessation of the particle release, the contaminant particles start to recede from the urban area, mainly owing to their outflux from the study area and the settling of some particles on solid surfaces in the metropolitan area. More specifically, the study area becomes clear of particles in approximately 48.5 min. It was observed that some particles propagate with a mean velocity of 0.6 m/s, i.e., ∼17% of the dominant wind velocity. We also conducted a detailed investigation of the nature of particle transport patterns using finite-time Lyapunov exponents, which showed that dynamically rich Lagrangian coherent structures are formed around the buildings and off the tops of the skyscrapers.

Identifiers

PMID35815158
PMCPMC9260515

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Registered trials

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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.