Power law scaling model predicts N2O emissions along the Upper Mississippi River basin

Alessandra Marzadri; Daniele Tonina; Alberto Bellin

doi:10.1016/j.scitotenv.2020.138390

Power law scaling model predicts N₂O emissions along the Upper Mississippi River basin

Sci Total Environ. 2020 Aug 25:732:138390. doi: 10.1016/j.scitotenv.2020.138390. Epub 2020 May 8.

Authors

Alessandra Marzadri¹, Daniele Tonina², Alberto Bellin³

Affiliations

¹ Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento 38123, Italy. Electronic address: alessandra.marzadri@unitn.it.
² Center for Ecohydraulics Research, University of Idaho, Boise, ID 83702, USA.
³ Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento 38123, Italy.

PMID: 32438145
DOI: 10.1016/j.scitotenv.2020.138390

Abstract

Nitrous oxide (N₂O) is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N₂O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Thus, this investigation tests and validates a recently proposed parsimonious and effective model to predict riverine N₂O fluxes with measurements taken along the main stem of the Upper Mississippi River (UMR). The model parameterizes N₂O emissions by means of two denitrification Damköhler numbers; one accounting for processes occurring within the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Its performance was assessed with several statistical quantitative indexes such as: Absolute Error (AE), Nash-Sutcliffe efficiency (NSE), percent bias (PBIAS), and ratio of the root mean square error to the standard deviation of measured data (RSR). Comparison of predicted N₂O gradients between water and air (ΔN₂O) with those quantified from field measurements validates the predictive performance of the model and allow extending previous findings to large river networks including highly regulated rivers with cascade reservoirs and locks. Results show the major role played by the water column processes in contributing to N₂O emissions in large rivers. Consequently, N₂O productions along the UMR, characterized by regulated flows and large channel size, occur chiefly within this surficial riverine compartment, where the suspended particles may create anoxic microsites, which favor denitrification.

Keywords: Nitrous oxide emissions; River network; Upper Mississippi River.