Evidence map›Paper›PMID 32772184›Full record

ArticleEnvironmental monitoring and assessment2020

Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff.

Péter Budai, Máté Krisztián Kardos, Marcell Knolmár, Gábor Szemán, József Turczel, Adrienne Clement

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Péter BudaiBudapest University of Technology and Engineering, Műegyetem rkp. 3, Budapest, 1111, Hungary. budai.peter@epito.bme.hu.ORCID https://orcid.org/0000-0002-4726-6012
Máté Krisztián KardosBudapest University of Technology and Engineering, Műegyetem rkp. 3, Budapest, 1111, Hungary.
Marcell KnolmárBudapest University of Technology and Engineering, Műegyetem rkp. 3, Budapest, 1111, Hungary.
Gábor Szemán, Miskolc, Hungary.
József Turczel, Budapest, Hungary.
Adrienne ClementBudapest University of Technology and Engineering, Műegyetem rkp. 3, Budapest, 1111, Hungary.

Funding

Emberi Eroforrások Minisztériuma (HU) BME FIKP-VÍZ
6 · The paper itself

Abstract

Implementation of an extensive urban runoff monitoring program, targeting the quantification of heavy metal and organic micropollutant loads, necessitated the development of an autonomous water sampler. The design requirements for the device were to fulfill flow-proportional continuous composite sampling of urban runoff events in a widely customizable, relatively inexpensive, and simple way. In this paper, we introduce the concept along with the experiences gained from the first several months of field tests at seven pilot areas in Hungary that represent a wide range of urban environments. During the test period, prototype samplers were placed in natural (urban) streams as well as stormwater drainage pipes, resulting in a total of 97 automatic composite runoff samples. At two sites, an additional 28 manual grab samples were collected to represent time series from five distinct runoff events. Sampling efficiency was checked by comparing collected volumes with the theoretical ones (derived from pump mileage data). Ranges and ratios of concentrations measured from composite and grab samples were graphically interpreted in order to evaluate their representativeness. It has been shown that the concept is suitable for conducting cost-effective urban runoff characterization surveys targeting inter-event variability.

Indexed as

Environmental PollutantsRainEnvironmental MonitoringHungaryRiversEnvironmental PollutantsEvent-basedFlow-proportionalMicropollutantsUrban runoffWater sampling

Identifiers

PMID32772184
PMCPMC7415038

What OpenQuestion holds

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LicenceCC BY
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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.