Document Detail

Developments in micrometeorological methods for methane measurements.
MedLine Citation:
PMID:  23739479     Owner:  NLM     Status:  In-Data-Review    
Micrometeorological techniques can be applied to estimate methane (CH4) emissions from ruminants and livestock manure using CH4 concentration measured within the internal surface boundary layer. The main advantage of these techniques is that they are non-intrusive, thereby eliminating the impact of the measurement set-up on the calculated CH4 emission. This review focuses on four micrometeorological techniques, namely, the integrated horizontal flux (IHF), flux gradient (FG), eddy covariance (EC) and the dispersion modelling using the backward Lagrangian stochastic method (BLS). Each technique has unique advantages and limitations when used for estimating enteric (ruminant) and manure CH4 emissions. The IHF technique may be theoretically simpler then the FG, EC or BLS techniques, but all require high-resolution instruments to measure concentration. The EC and BLS techniques also require a measurement of the wind statistics. This review discusses the appropriate use of these four micrometeorological techniques for estimating CH4 emissions in animal agriculture and the recent advances in measurement technology.
S M McGinn
Related Documents :
23968039 - A multimodal detection model of dolphins to estimate abundance validated by field exper...
17487519 - Myocardial material parameter estimation: a non-homogeneous finite element study from s...
24040629 - Improving access in gastroenterology: the single point of entry model for referrals.
22487609 - Quantifying circular-linear associations: hippocampal phase precession.
7384909 - Modeling of intervertebral discs.
24520699 - Application of aermod on near future air quality simulation under the latest national e...
24203709 - Visualizing the ai5γ group iib intron.
23718189 - Pragmatic approaches to using computational methods to predict xenobiotic metabolism.
12820279 - Joint models for efficient estimation in proportional hazards regression models.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Animal : an international journal of animal bioscience     Volume:  7 Suppl 2     ISSN:  1751-732X     ISO Abbreviation:  Animal     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-06-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101303270     Medline TA:  Animal     Country:  England    
Other Details:
Languages:  eng     Pagination:  386-93     Citation Subset:  IM    
Agriculture and Agri-Food Canada, 5403 - 1 Avenue South, PO Box 3000, Lethbridge, Alberta, Canada T1J 4B1.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate c...
Next Document:  Opportunities and challenges in the use of the Laser Methane Detector to monitor enteric methane emi...