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

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

doi:10.1016/j.envsoft.2021.105117

Cited by 38 publications

(29 citation statements)

References 69 publications

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“…Similarly, C burial rates were considerably lower in new (3 year old) artificial ponds compared to mature (18-20 year old) artificial ponds 12 . Ecosystem age has also recently been found to be a strong predictor in empirical models (G-res tool) for the diffusive emission of C gases from reservoirs, especially at higher temperatures 20 . Observing the temporal C source/sink dynamics of SWPs and patterns over a pond age gradient can provide insight into how these inland urban waters behave over short (annual) and long (decadal) timelines.…”

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confidence: 99%

Florida’s urban stormwater ponds are net sources of carbon to the atmosphere despite increased carbon burial over time

Goeckner

Lusk

Reisinger

et al. 2022

Commun Earth Environ

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Stormwater ponds are engineered ecosystems designed for flood control and sediment retention in urban watersheds. They are the most commonly used stormwater control measure in the USA, but their biogeochemical processes and impacts are often overlooked. Here, we assessed the potential impact of stormwater ponds on regional carbon cycling by coupling carbon burial rates and fluxes of carbon dioxide and methane gases in five sites over an age gradient of 14–34 years. Carbon burial increased logarithmically with site age, ranging from 22 to 217 g carbon m−2 y−1, while, median floating chamber diffusive gas fluxes were 1290 g carbon dioxide m−2 y−1 and 5 g methane m−2 y−1, which, when combined as carbon dioxide equivalents, equates to 2900 g carbon dioxide eq m−2 y−1. Comparing carbon burial to gas flux reveals that stormwater ponds can be net carbon sources and need to be considered for regional and global carbon models.

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confidence: 99%

Florida’s urban stormwater ponds are net sources of carbon to the atmosphere despite increased carbon burial over time

Goeckner

Lusk

Reisinger

et al. 2022

Commun Earth Environ

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“…Methodologies used yet are mainly based on measurements of emissions from reservoirs located in different climatic zones. The large variability in the estimated emission reported in the literature shows the in uence of speci c reservoir factors, such as reservoir type, land use types, climate zone, age and depth of the reservoir, land uses before ooding, and others (Prairie et al 2021). The comparative study of mean GHG emissions from global reservoirs vs. freshwater ecosystems (lakes, rivers, ponds, and wetlands) has been depicted in Table 3.…”

Section: Discussionmentioning

confidence: 99%

“…Kumar et al 2019;Prairie et al 2021; Ion and Ene 2021). Therefore, both theoretical studies and eld measurements are important for the accurate estimation of GHG emissions and should be taken into the consideration prior to new construction decisions.…”

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confidence: 99%

Greenhouse gas emissions from hydroelectric reservoirs: mechanistic understanding of influencing factors and future prospect

Kumar

Chaturvedi

Joshi

et al. 2023

Environ Sci Pollut Res

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Since the pre-industrial era (1990s), greenhouse gas (GHG) emissions from hydroelectric reservoirs have been a debatable subject of interest due to a substantial contribution to global warming. Rising demand for various renewable and nonrenewable energy resources became necessary for rapid economic growth to the exponentially rising population in developing countries. Reducing GHG emissions is the key target of COP-26 for climate change mitigation. However, precise methodologies for quanti cation of GHG, key parameters affecting emission rate is a challenging task attributed to limited tools, techniques for GHG measurement, uncertainty rate in measurement, insu cient GHG database, and huge spatiotemporal variability of emission in global reservoirs. This work highlights the present scenario of GHG emissions from renewable energy with targeted approach on hydroelectric reservoirs, methodological know-how, interrelation between parameters affecting GHG emission, and mitigation strategies. Apart from this, major tools and techniques to predict GHG emissions from hydroelectric reservoirs, accounting of GHG emissions, life cycle assessment, sources of uncertainty, and knowledge gaps have been discussed in detail.

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“…Both models have significant fits between modeled and measured emissions estimates, though the ResME fit has a higher r 2 value then G‐res. Reported r 2 for comparisons between G‐res CH 4 diffusion and ebullition model predictions and measurements were 0.52 and 0.26, respectively (Prairie et al., 2021). However, the r 2 for a comparison between G‐res predicted diffusive‐plus‐ebullitive CH 4 emissions for the subset of reservoirs used to test ResME, was somewhat lower ( r 2 = 0.14) than the values reported for the individual G‐res submodels, and lower than that calculated here for ResME.…”

Section: Evaluating Model Resultsmentioning

confidence: 99%

Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model

et al. 2022

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Hydroelectric power is the dominant source of renewable energy globally. In 2017, it comprised 13% of global electricity production in OECD (Organization for Economic Co-operation and Development) countries (International Energy Agency, 2018), and 2.5% of global energy production. While electricity from hydropower can replace electricity from carbon-intensive sources such as coal and gas, reservoirs also emit methane (CH 4 ) which could negate some of the carbon benefits of switching to hydropower. CH 4 is a potent greenhouse gas with >32 times the warming potential of carbon dioxide over a 100-year time horizon (Etminan et al., 2016). Prior global CH 4 emissions estimates suggest 3 Tg C of CH 4 yr −1 is released from reservoir surfaces (Barros et al., 2011). This estimate increases to 13.3 Tg C as CH 4 yr −1 after accounting for spillways, turbines, river reaches below dams, and periodically inundated drawdown areas around the reservoir (Li & Zhang, 2014). While useful, these estimates are based on empirical relationships between emissions and potential drivers, and do not provide a process-based understanding of the main drivers and pathways for reservoir CH 4 production and releases, which would aid in development of mitigation strategies. Here we develop, evaluate, and apply a new mechanistic model of the processes driving global hydroelectric reservoir CH 4 emissions.

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

Cited by 38 publications

References 69 publications

Florida’s urban stormwater ponds are net sources of carbon to the atmosphere despite increased carbon burial over time

Florida’s urban stormwater ponds are net sources of carbon to the atmosphere despite increased carbon burial over time

Greenhouse gas emissions from hydroelectric reservoirs: mechanistic understanding of influencing factors and future prospect

Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model

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