2016
DOI: 10.1016/j.ijggc.2016.02.012
|View full text |Cite
|
Sign up to set email alerts
|

A multi-statistical approach for estimating the total output of CO 2 from diffuse soil degassing by the accumulation chamber method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
18
0
2

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 21 publications
(20 citation statements)
references
References 35 publications
0
18
0
2
Order By: Relevance
“…In order to identify anomalies in time series, soil CO 2 flux populations were characterized using both the Sinclair graphical approach [ Sinclair , ] and the maximum‐likelihood method [ Elio et al , ]. Both methods produce similar results (Table S4).…”
Section: Resultsmentioning
confidence: 99%
“…In order to identify anomalies in time series, soil CO 2 flux populations were characterized using both the Sinclair graphical approach [ Sinclair , ] and the maximum‐likelihood method [ Elio et al , ]. Both methods produce similar results (Table S4).…”
Section: Resultsmentioning
confidence: 99%
“…Statistical analyses of the data distribution were performed using the graphical approach based on Sinclair's cumulative probability plots (MATLAB code; Sinclair, 1974). Thresholds were determined using the maximum-likelihood method based on a Gaussian Mixture Model (GMM) implementing an expectation-maximization (EM) algorithm developed on "Python" programming language, which is more accurate for short datasets ( b 100 values; Elio et al, 2016). Isotopic analysis on gas samples collected in vials through a capillary probe into the soil (at 50 cm-depth) was performed at INGV Palermo (Italy), with a Thermo Delta Plus XP CF-IRMS (precision ±0.15 δ‰) coupled with a Thermo TRACE Gas Chromatograph (GC) and a Thermo GC/C III interface .…”
Section: Methodsmentioning
confidence: 99%
“…The use of chambers to represent soil-gas fluxes at field-scale is often highly time-intensive and prone to interpolation-related uncertainty (Elío et al, 2016), particularly for sites with heterogeneous soils or geology. Micrometeorological methods can also be difficult to implement at the field-scale as they are reliant on wind direction and non-turbulent atmospheric conditions between the ground-surface and the sensors.…”
Section: Introductionmentioning
confidence: 99%