Evidence map›Paper›PMID 26233734›Full record

ArticleEnvironmental science and pollution research international2016

Evaluating exposure of pedestrians to airborne contaminants associated with non-potable water use for pavement cleaning.

M Seidl, G Da, P Ausset, S Haenn, E Géhin, L Moulin

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. 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

6 authors.

M SeidlUniversité Paris-Est, Laboratoire Eau Environnement et Systèmes Urbains (LEESU), UMR MA 102, ENPC, 6 Ave Blaise Pascal, 77455, Champs-sur-Marne, France. martin.seidl@leesu.enpc.fr.
G DaUniversité Paris-Est, Centre d'Études et de Recherche en Thermique, Environnement et Systèmes EA 3481 (CERTES), Université Paris-Est Créteil, 61 Ave du Général de Gaulle, 94010, Créteil Cedex, France.
P AussetUniversité Paris-Est, Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), UMR CNRS 7583 UPEC - UP7, Université Paris-Est Créteil, 61 Ave du Général de Gaulle, 94010, Créteil, France.
S HaennEau de Paris, Direction de la Recherche & Développement et de la Qualité des Eaux (DRDQE), 33 Ave Jean Jaurès, 94200, Ivry Sur Seine, France.
E GéhinUniversité Paris-Est, Centre d'Études et de Recherche en Thermique, Environnement et Systèmes EA 3481 (CERTES), Université Paris-Est Créteil, 61 Ave du Général de Gaulle, 94010, Créteil Cedex, France.
L MoulinEau de Paris, Direction de la Recherche & Développement et de la Qualité des Eaux (DRDQE), 33 Ave Jean Jaurès, 94200, Ivry Sur Seine, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change and increasing demography press local authorities to look after affordable water resources and replacement of drinking water for city necessities like street and pavement cleaning by more available raw water. Though, the substitution of drinking by non-drinking resources demands the evaluation of sanitary hazards. This article aims therefore to evaluate the contribution of cleaning water to the overall exposure of city dwellers in case of wet pavement cleaning using crossed physical, chemical and biological approaches. The result of tracer experiments with fluorescein show that liquid water content of the cleaning aerosol produced is about 0.24 g m(-3), rending possible a fast estimation of exposure levels. In situ analysis of the aerosol particles indicates a significant increase in particle number concentration and particle diameter, though without change in particle composition. The conventional bacterial analysis using total coliforms as tracer suggests that an important part of the contamination is issued from the pavement. The qPCR results show a more than 20-fold increase of background genome concentration for Escherichia coli and 10-fold increase for Enterococcus but a negligible contribution of the cleaning water. The fluorescence analysis of the cleaning aerosol confirms the above findings identifying pavement surface as the major contributor to aerosol organic load. The physical, chemical and microbiological approaches used make it possible to describe accurately the cleaning bioaerosol and to identify the existence of significantly higher levels of all parameters studied during the wet pavement cleaning. Though, the low level of contamination and the very short time of passage of pedestrian in the zone do not suggest a significant risk for the city dwellers. As the cleaning workers remain much longer in the impacted area, more attention should be paid to their chronic exposure.

Indexed as

AerosolsPedestriansAir PollutantsAir PollutionEnvironmental ExposureWater PollutionAerosolsAir PollutantsAirborne particlesBioaerosolNon-potable water usesParisPathogensStreet cleaningUrban atmosphere

Identifiers

What OpenQuestion holds

Textmetadata
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.