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Variability of carbon dioxide flux from tropical (Cerrado) hydroelectric reservoirs
Authors:Fábio Roland  Luciana O. Vidal  Felipe S. Pacheco  Nathan O. Barros  Arcilan Assireu  Jean P. H. B. Ometto  André C. P. Cimbleris  Jonathan J. Cole
Affiliation:1. Federal University of Juiz de Fora, Juiz de Fora, MG, 36036-900, Brazil
2. National Institute of Space Research, Avenida dos Astronautas, 1758, S?o José dos Campos, SP, 12227-010, Brazil
3. FURNAS Centrais Elétricas, Rio de Janeiro, RJ, 22.283-900, Brazil
4. Cary Institute of Ecosystem Studies, Millbrook, NY, 12545-0129, USA
Abstract:Hydroelectric reservoirs generate energy without significant combustion of fossil fuels. However, these systems can, potentially, emit greenhouse gases (GHG’s) at a rate which may be significant at the global scale, and, possible, co-equal, per kilowatt-hour, to that from conventional coal or oil-fired systems. Although much of the new construction of hydroelectric reservoirs is in the tropics, most of the data on GHG emissions comes from temperate regions. Further, much of the existing data on reservoir gas emissions comes from single sites, usually near the terminal dams. Large tropical reservoirs often involve the impoundments of river systems with complex morphology which in turn can cause spatial heterogeneity in gas flux. We evaluated spatial and seasonal variability in CO2 concentrations and gas flux for five large (50–1,400 km2) reservoirs in the Cerrado region of Brazil. Most of data set (87% of all measurements) showed CO2 supersaturation and net efflux to the atmosphere. There was as much or more variation in pCO2 over space and among seasons. The large studied reservoirs showed different zones in terms of CO2 emission because those fluxes are dependent on flooded biomass, watershed input of organic matter and dam operation regime. Here we demonstrate that the reservoirs in the Brazilian Cerrado have low rates of CO2 emissions compared to existing global comparisons. Our results suggest that ignoring the spatial variability can lead to more than 25% error in total system gas flux.
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