To main content

A new modelling framework to assess biogenic GHG emissions from reservoirs: The G-res tool

Abstract

Human-made reservoirs are now recognized as potentially significant sources of greenhouse gases, comparable to other anthropogenic sources, yet efforts to estimate these reservoir emissions have been hampered by the complexity of the underlying processes and a lack of coherent budgeting approaches. Here we present a unique modelling framework, the G-res Tool, which was explicitly designed to estimate the net C footprint of reservoirs across the globe. The framework involves the development of statistically robust empirical models describing the four major emission pathways for carbon-based greenhouse gases (GHG) from reservoirs: diffusive CO2 and CH4 emissions, bubbling CH4 emissions from the reservoir surface, and CH4 emissions due to degassing downstream the reservoir, based on an extensive meta-analysis of published data from the past three decades. These empirical models allow the prediction of reservoir-specific emissions, how they may shift over time and account for naturally occurring GHG generating pathways in aquatic networks.

Category

Academic article

Language

English

Author(s)

  • Yves T. Prairie
  • Sara Mercier-Blais
  • John Harrison
  • Cynthia Soued
  • Paul del Giorgio
  • Atle Harby
  • Jukka Alm
  • Vincent Chanudet
  • Roy Nahas

Affiliation

  • University of Quebec at Montreal
  • Washington State University
  • SINTEF Energy Research / Energisystemer
  • Natural Resources Institute Finland
  • France

Year

2021

Published in

Environmental Modelling & Software

ISSN

1364-8152

Publisher

Elsevier

Volume

143

View this publication at Cristin