Estimación de flujos difusivos de CO2 en embalses tropicales mediante el uso conjunto de la teledectección, la modelación de concentraciones superficiales del gas y K600

Juan Leon; Mariam Rojas

doi:10.22490/21456453.3587

Vol. 11 No. 2 (2020)

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2020-07-07

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Leon, J., & Rojas, M. (2020). CO2 diffusive flux estimation for tropical reservoirs from conjoint utilization of remote sensing, superficial gas concentrations and k600 modelling . Revista De Investigación Agraria Y Ambiental, 11(2), 179-196. https://doi.org/10.22490/21456453.3587

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CO2 diffusive flux estimation for tropical reservoirs from conjoint utilization of remote sensing, superficial gas concentrations and k600 modelling

DOI: https://doi.org/10.22490/21456453.3587

Section

Área Ambiental

Juan Leon Universidad Nacional de Colombia

Mariam Rojas UNIVERSIDAD NACIONAL DE COLOMBIA

Contextualization: Currently, it is internationally recognized that the reservoirs alters the natural carbon, they are strong GHG emitters and, in the quantification of their emissions, important uncertainties still prevail. Only, up to now, the initiatives of direct measurements in the field have begun to generate knowledge about the true magnitudes of the emissions produced from these hydrosystems.

Research gap: The high costs to develop in-situ measurements, analysis of samples and quantification of emissions, have been a major impediment to the production of sufficient information that leads to a global understanding of the behavior of these hydrosystems in terms of emissions.

Purpose: Based on the results obtained from GEITRO Project (2012-2014), whose main objective was to quantify the GHG emissions generated in the Riogrande II dam based on exhaustive in situ monitoring, it was possible to explore alternative methods to allow of quantify emissions generated in dam by means of application or development of models based on the use of measured issues from remote sensors like tele-detection. The main objective of this research was to evaluate how the conjoint use of measured spatial data and models relating this data to gas surface concentrations as well as its transfer velocity coefficient, could be used to estimate CO₂ diffusive flow emissions in time and space avoiding huge in situ monitoring efforts.

Methodology: methods were based on the analysis of the information from the field data for the development and validation of the models, as well as the deduction of water surface temperatures measured from remote sensors for the final estimation of emissions from the deduced models.

Results and conclusions: As a result, we developed two models: one for the estimation of surface CO₂ concentrations and another for the estimation of the normalized transfer velocity coefficient normalized under the Schmidt's number of 600 (K₆₀₀). The result of the application of these two models allowed to the estimation of CO₂ diffusive flux from the dam. The validation processes of the models allowed to conclude that they manage to reproduce more than acceptable (relative error of 15 ± 0.07% on average) the diffusive CO₂ fluxes measured in the RGII reservoir between 2012 and 2014. Finally, based on this results, we used Water Surface Temperature (WST) measured by MODIS-Terra for the estimation of the diffusive flux of CO₂ on the dam.

Transfer velocity coefficient, CO2 Surface concentrations, dams, MODIS Terra

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CO2 diffusive flux estimation for tropical reservoirs from conjoint utilization of remote sensing, superficial gas concentrations and k600 modelling

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