Retention efficiency for microplastic in a landscape estimated
from empirically validated dynamic model predictions

J 2024

Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions

NORLING, Magnus; Rachel HURLEY; Theresa SCHELL; Martyn N FUTTER; Andreu RICO et al.

Základní údaje

Originální název

Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions

Autoři

NORLING, Magnus; Rachel HURLEY; Theresa SCHELL; Martyn N FUTTER; Andreu RICO; Marco VIGHI; Alberto BLANCO; Jose L J LEDESMA a Luca NIZZETTO

Vydání

Journal of Hazardous Materials, Amsterdam, Elsevier Science BV. 2024, 0304-3894

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10511 Environmental sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 11.300

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/24:00139114

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Microplastics; Fate and transport; Model; River; Soil

Štítky

143180, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 18. 3. 2025 14:05, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Soils are recipients of microplastic that can be subsequently transferred to the sea. Land sources dominate inputs to the ocean, but knowledge gaps about microplastic retention by land hinder assessments of input rates. Here we present the first empirical evaluation of a dynamic microplastic fate model operating at landscape level. This mechanistic model accounts for hydrology, soil and sediment erosion, particle characteristics and behavior. We predict microplastic concentrations in water and sediments of the Henares river (Spain) within the measurement uncertainty boundaries (error factors below 2 and 10, respectively). Microplastic export from land and discharge by river fluctuates in a non-linear manner with precipitation and runoff variability. This indicates the need of accurate dynamic descriptions of soil and stream hydrology even when modeling microplastic fate and transport in generic scenarios and at low spatio-temporal resolution. A time-averaged landscape retention efficiency was calculated showing 20-50% of the microplastics added to the catchment over a multiannual period were retained. While the analysis reveals persistent uncertainties and knowledge gaps on microplastic sources to the catchment, these results contribute to the quantitative understanding of the role of terrestrial environments in accumulating microplastics, delaying their transport to the sea.

Citovat

NORLING, Magnus; Rachel HURLEY; Theresa SCHELL; Martyn N FUTTER; Andreu RICO; Marco VIGHI; Alberto BLANCO; Jose L J LEDESMA a Luca NIZZETTO. Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions. Journal of Hazardous Materials. Amsterdam: Elsevier Science BV., 2024, roč. 464, February, s. 1-13. ISSN 0304-3894. Dostupné z: https://doi.org/10.1016/j.jhazmat.2023.132993.

@article{2485009,
   author = {Norling, Magnus and Hurley, Rachel and Schell, Theresa and Futter, Martyn N and Rico, Andreu and Vighi, Marco and Blanco, Alberto and Ledesma, Jose L J and Nizzetto, Luca},
   article_location = {Amsterdam},
   article_number = {February},
   doi = {https://doi.org/10.1016/j.jhazmat.2023.132993},
   keywords = {Microplastics; Fate and transport; Model; River; Soil},
   language = {eng},
   issn = {0304-3894},
   journal = {Journal of Hazardous Materials},
   title = {Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions},
   url = {https://doi.org/10.1016/j.jhazmat.2023.132993},
   volume = {464},
   year = {2024}
}

TY  - JOUR
ID  - 2485009
AU  - Norling, Magnus - Hurley, Rachel - Schell, Theresa - Futter, Martyn N - Rico, Andreu - Vighi, Marco - Blanco, Alberto - Ledesma, Jose L J - Nizzetto, Luca
PY  - 2024
TI  - Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions
JF  - Journal of Hazardous Materials
VL  - 464
IS  - February
SP  - 1-13
EP  - 1-13
PB  - Elsevier Science BV.
SN  - 03043894
KW  - Microplastics
KW  - Fate and transport
KW  - Model
KW  - River
KW  - Soil
UR  - https://doi.org/10.1016/j.jhazmat.2023.132993
N2  - Soils are recipients of microplastic that can be subsequently transferred to the sea. Land sources dominate inputs to the ocean, but knowledge gaps about microplastic retention by land hinder assessments of input rates. Here we present the first empirical evaluation of a dynamic microplastic fate model operating at landscape level. This mechanistic model accounts for hydrology, soil and sediment erosion, particle characteristics and behavior. We predict microplastic concentrations in water and sediments of the Henares river (Spain) within the measurement uncertainty boundaries (error factors below 2 and 10, respectively). Microplastic export from land and discharge by river fluctuates in a non-linear manner with precipitation and runoff variability. This indicates the need of accurate dynamic descriptions of soil and stream hydrology even when modeling microplastic fate and transport in generic scenarios and at low spatio-temporal resolution. A time-averaged landscape retention efficiency was calculated showing 20-50% of the microplastics added to the catchment over a multiannual period were retained. While the analysis reveals persistent uncertainties and knowledge gaps on microplastic sources to the catchment, these results contribute to the quantitative understanding of the role of terrestrial environments in accumulating microplastics, delaying their transport to the sea.
ER  -

NORLING, Magnus; Rachel HURLEY; Theresa SCHELL; Martyn N FUTTER; Andreu RICO; Marco VIGHI; Alberto BLANCO; Jose L J LEDESMA a Luca NIZZETTO. Retention efficiency for microplastic in a landscape estimated from empirically validated dynamic model predictions. \textit{Journal of Hazardous Materials}. Amsterdam: Elsevier Science BV., 2024, roč.~464, February, s.~1-13. ISSN~0304-3894. Dostupné z: https://doi.org/10.1016/j.jhazmat.2023.132993.

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