Nitrous oxide (N2O) is currently the leading ozone-depleting gas and is also a potent greenhouse gas. Predictions of N2O emissions from riverine systems are difficult and mostly accomplished via regression equations based on dissolved inorganic nitrogen (DIN) concentrations or fluxes, although recent studies have shown that hydromorphological characteristics can influence N2O emissions in riverine reaches. Here, we propose a predictive model for N2O riverine concentrations and emissions at the reach scale. The model is based on Damköhler numbers and captures the primary effects of reach-scale biogeochemical and hydromorphological characteristics in flowing waters. It explains the change in N2O emissions from small streams to large rivers under varying conditions including biome, land use, climate, and nutrient availability. The model and observed data show that dimensionless N2O concentrations and emission rates have higher variability and mean values for small streams (reach width <10 m) than for larger streams due to high spatial variability of stream hydraulics and morphology.

Predicting nitrous oxide emissions through riverine networks / Marzadri, A; Bellin, A; Tank, J L; Tonina, D. - In: SCIENCE OF THE TOTAL ENVIRONMENT. - ISSN 1879-1026. - ELETTRONICO. - 843:(2022), pp. 1568441-1568449. [10.1016/j.scitotenv.2022.156844]

Predicting nitrous oxide emissions through riverine networks

Marzadri, A;Bellin, A;Tonina, D
2022

Abstract

Nitrous oxide (N2O) is currently the leading ozone-depleting gas and is also a potent greenhouse gas. Predictions of N2O emissions from riverine systems are difficult and mostly accomplished via regression equations based on dissolved inorganic nitrogen (DIN) concentrations or fluxes, although recent studies have shown that hydromorphological characteristics can influence N2O emissions in riverine reaches. Here, we propose a predictive model for N2O riverine concentrations and emissions at the reach scale. The model is based on Damköhler numbers and captures the primary effects of reach-scale biogeochemical and hydromorphological characteristics in flowing waters. It explains the change in N2O emissions from small streams to large rivers under varying conditions including biome, land use, climate, and nutrient availability. The model and observed data show that dimensionless N2O concentrations and emission rates have higher variability and mean values for small streams (reach width <10 m) than for larger streams due to high spatial variability of stream hydraulics and morphology.
Marzadri, A; Bellin, A; Tank, J L; Tonina, D
Predicting nitrous oxide emissions through riverine networks / Marzadri, A; Bellin, A; Tank, J L; Tonina, D. - In: SCIENCE OF THE TOTAL ENVIRONMENT. - ISSN 1879-1026. - ELETTRONICO. - 843:(2022), pp. 1568441-1568449. [10.1016/j.scitotenv.2022.156844]
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0048969722039419-main.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.14 MB
Formato Adobe PDF
3.14 MB Adobe PDF   Visualizza/Apri
1-s2.0-S0048969722039419-main_Pre-proof.pdf

embargo fino al 14/10/2024

Tipologia: Post-print referato (Refereed author’s manuscript)
Licenza: Creative commons
Dimensione 1.72 MB
Formato Adobe PDF
1.72 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/355241
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact