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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2021 . Peer-reviewed
Data sources: Crossref
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https://link.springer.com/cont...
Part of book or chapter of book
License: CC BY
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https://dx.doi.org/10.60692/70...
Other literature type . 2021
Data sources: Datacite
https://dx.doi.org/10.60692/94...
Other literature type . 2021
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Methodology for Measuring Greenhouse Gas Emissions from Agricultural Soils Using Non-isotopic Techniques

منهجية قياس انبعاثات غازات الدفيئة من التربة الزراعية باستخدام التقنيات غير النظائرية
Authors: Mohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; +34 Authors

Methodology for Measuring Greenhouse Gas Emissions from Agricultural Soils Using Non-isotopic Techniques

Abstract

AbstractSeveral approaches exist for measuring greenhouse gases (GHGs), mainly CO2, N2O, and CH4, from soil surfaces. The principle methods that are used to measure GHG from agricultural sites are chamber-based techniques. Both open and closed chamber techniques are in use; however, the majority of field applications use closed chambers. The advantages and disadvantages of different chamber techniques and the principal steps of operation are described. An important part of determining the quality of the flux measurements is the storage and the transportation of the gas samples from the field to the laboratory where the analyses are carried out. Traditionally, analyses of GHGs are carried out via gas chromatographs (GCs). In recent years, optical analysers are becoming increasingly available; these are user-friendly machines and they provide a cost-effective alternative to GCs. Another technique which is still under development, but provides a potentially superior method, is Raman spectroscopy. Not only the GHGs, but also N2, can potentially be analysed if the precision of these techniques is increased in future development. An important part of this chapter deals with the analyses of the gas concentrations, the calculation of fluxes, and the required safety measures. Since non-upland agricultural lands (i.e. flooded paddy soils) are steadily increasing, a section is devoted to the specificities of GHG measurements in these ecosystems. Specialised techniques are also required for GHG measurements in aquatic systems (i.e. rivers), which are often affected by the transfer of nutrients from agricultural fields and therefore are an important indirect source of emission of GHGs. A simple, robust, and more precise methodof ammonia (NH3) emission measurement is also described.

Country
France
Keywords

Atmospheric Science, Greenhouse, Agricultural engineering, Environmental engineering, Greenhouse gas, Emission Modeling, Environmental science, Engineering, Atmospheric Aerosols and their Impacts, Soil water, Paddy field, gas emissions, Biology, Soil science, Global and Planetary Change, Ecology, greenhouse gas emissions, FOS: Environmental engineering, Application of Stable Isotopes in Trophic Ecology, methodology, Agriculture, Agronomy, Earth and Planetary Sciences, FOS: Biological sciences, Global Methane Emissions and Impacts, Environmental Science, Physical Sciences, agricultural soils, techniques, measuring

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
hybrid