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ORCID: https://orcid.org/0000-0002-8595-3884, Nisi, Bárbara, Mazadiego Martínez, Luis Felipe
ORCID: https://orcid.org/0000-0003-2503-0313, Vaselli, Orlando, Caballero, Juan and Chacón Oreja, Enrique
(2016).
A multi-statistical approach for estimating the total output of CO2 from diffuse soil degassing by the accumulation chamber method.
"International Journal of Greenhouse Gas Control", v. 47
;
pp. 351-363.
ISSN 1750-5836.
https://doi.org/10.1016/j.ijggc.2016.02.012.
| Título: | A multi-statistical approach for estimating the total output of CO2 from diffuse soil degassing by the accumulation chamber method |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | International Journal of Greenhouse Gas Control |
| Fecha: | Abril 2016 |
| ISSN: | 1750-5836 |
| Volumen: | 47 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | CO2 storage; Diffuse CO2 soil flux; Accumulation chamber; Statistical approaches |
| Escuela: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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CO2 flux measurements at the soil–atmosphere interface are commonly carried out as part of site characterization in areas elected for CO2 geological storage purposes. This approach represents an important monitoring tool to detect and quantify leakages during operational and post-operational stages related to the injection of anthropogenic CO2. A large variety of techniques to measure diffuse CO2 soil flux is available and one of the most widely used is the accumulation chamber method. With this method, the total output is statistically estimated after measuring the CO2 flux in selected points of a certain area. Several statistical approaches can be applied and it is important to select the most representative and significant procedure. Consequently, in this paper six different methods were used to calculate the total CO2 output, as follows: arithmetic mean, minimum variances unbiased estimator, bootstrap resample, partitioning of data into different populations with graphical and maximum likelihood procedures, and sequential Gaussian simulation. Eight campaigns were carried out in the Hontomín CO2 Storage Technology Development Plant (Burgos, Spain) and in natural analogs of CO2 storage (Campo de Calatrava, Spain and Mt. Amiata, Caprese Michelangelo and La Solfatara, Italy). Our results showed that sequential Gaussian simulation is the most precise method for evaluating the total CO2 output and the respective confidence interval. Nevertheless, the estimation of the total CO2 output with other statistical methodologies allowed to develop an application procedure for choosing the most reliable and realistic approach.
| ID de Registro: | 46208 |
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| Identificador DC: | https://oa.upm.es/46208/ |
| Identificador OAI: | oai:oa.upm.es:46208 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5493359 |
| Identificador DOI: | 10.1016/j.ijggc.2016.02.012 |
| URL Oficial: | http://www.sciencedirect.com/science/article/pii/S... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 May 2017 14:41 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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