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

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 sam...

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Autores principales: Budai, Péter, Kardos, Máté Krisztián, Knolmár, Marcell, Szemán, Gábor, Turczel, József, Clement, Adrienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415038/
https://www.ncbi.nlm.nih.gov/pubmed/32772184
http://dx.doi.org/10.1007/s10661-020-08536-3
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author Budai, Péter
Kardos, Máté Krisztián
Knolmár, Marcell
Szemán, Gábor
Turczel, József
Clement, Adrienne
author_facet Budai, Péter
Kardos, Máté Krisztián
Knolmár, Marcell
Szemán, Gábor
Turczel, József
Clement, Adrienne
author_sort Budai, Péter
collection PubMed
description 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.
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spelling pubmed-74150382020-08-13 Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff Budai, Péter Kardos, Máté Krisztián Knolmár, Marcell Szemán, Gábor Turczel, József Clement, Adrienne Environ Monit Assess Article 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. Springer International Publishing 2020-08-08 2020 /pmc/articles/PMC7415038/ /pubmed/32772184 http://dx.doi.org/10.1007/s10661-020-08536-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Budai, Péter
Kardos, Máté Krisztián
Knolmár, Marcell
Szemán, Gábor
Turczel, József
Clement, Adrienne
Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title_full Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title_fullStr Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title_full_unstemmed Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title_short Development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
title_sort development of an autonomous flow-proportional water sampler for the estimation of pollutant loads in urban runoff
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415038/
https://www.ncbi.nlm.nih.gov/pubmed/32772184
http://dx.doi.org/10.1007/s10661-020-08536-3
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