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Automated Laboratory and Field Techniques to Determine Greenhouse Gas Emissions

Name: Automated Laboratory and Field Techniques to Determine Greenhouse Gas Emissions
Keywords: Atmospheric sciences, Nitrogen, Soil Science, Organic chemistry, Carbon Dynamics in Peatland Ecosystems, Greenhouse gas, Quantum mechanics, Environmental science, Agricultural and Biological Sciences, Temporal resolution

التقنيات المختبرية والميدانية الآلية لتحديد انبعاثات غازات الدفيئة

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2021 France Publisher:Springer International PublishingPublicly funded

Authors: Mohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; +34 Authors

doi: 10.1007/978-3-030-55396-8_3 , 10.60692/945av-rc147 , 10.60692/gn7vy-46q79

handle: 10568/129511

Automated Laboratory and Field Techniques to Determine Greenhouse Gas Emissions

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Abstract

AbstractMethods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect of plant–soil interactions on GHGsand N2 production. The advantage of automated in-field techniques is that GHG emission rates can be determined at a high temporal resolution. This allows, for instance, to determine diurnal response reactions (e.g. with temperature) and GHG dynamics over longer time periods.

Country

France

Related Organizations

University of Alberta
Canada
University of Hannover
Germany
CGIAR
France
Lincoln University
New Zealand
Chinese Academy of Sciences
China (People's Republic of)

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Keywords

Atmospheric sciences, Nitrogen, Soil Science, Organic chemistry, Carbon Dynamics in Peatland Ecosystems, Greenhouse gas, Quantum mechanics, Environmental science, Agricultural and Biological Sciences, Temporal resolution, Soil water, gas emissions, Biology, Soil science, Global and Planetary Change, Nitrous oxide, Ecology, greenhouse gas emissions, Physics, Life Sciences, Chemistry, Emissions, FOS: Biological sciences, Global Methane Emissions and Impacts, Environmental Science, Physical Sciences, Environmental chemistry, Soil Carbon Dynamics and Nutrient Cycling in Ecosystems, techniques

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	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.	Average