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Simplified Method for Quantifying Theoretical Underestimation of Chamber-Based Trace Gas Fluxes
Closed chambers used to measure soil-atmosphere exchange of trace gases including nitrous oxide (N2O) and carbon dioxide (CO2) generate errors due to suppression of the gas concentration gradient at the soil-atmosphere interface. A method is described here for estimating the magnitude of flux undere...
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Published in: | Journal of environmental quality 2010-01, Vol.39 (1), p.126-135 |
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description | Closed chambers used to measure soil-atmosphere exchange of trace gases including nitrous oxide (N2O) and carbon dioxide (CO2) generate errors due to suppression of the gas concentration gradient at the soil-atmosphere interface. A method is described here for estimating the magnitude of flux underestimation arising from chamber deployment. The technique is based on previously established gas transport theory and has been simplified to facilitate application while preserving the fundamental physical relationships. The method avoids the use of nonlinear regression but requires knowledge of soil properties including texture, bulk density, water content, temperature, and pH. Two options are presented: a numerical technique which is easily adapted to spreadsheet application, and a graphical method requiring minimal calculation. In both cases, the magnitude of theoretical flux underestimation (TFU) is determined, taking into account effects of chamber geometry and deployment time, the flux-calculation scheme, and properties of the soil and gas under consideration. Application to actual data and recent studies confirmed that TFU can vary widely within and across sites. The analysis also revealed a highly linear correlation between soil water content and TFU, suggesting that previously observed relationships between water content and trace gas flux may in part reflect artifacts of chamber methodology. The method described here provides a practical means of improving the absolute accuracy of flux estimates and normalizing data obtained using different chamber designs in different soils. |
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A method is described here for estimating the magnitude of flux underestimation arising from chamber deployment. The technique is based on previously established gas transport theory and has been simplified to facilitate application while preserving the fundamental physical relationships. The method avoids the use of nonlinear regression but requires knowledge of soil properties including texture, bulk density, water content, temperature, and pH. Two options are presented: a numerical technique which is easily adapted to spreadsheet application, and a graphical method requiring minimal calculation. In both cases, the magnitude of theoretical flux underestimation (TFU) is determined, taking into account effects of chamber geometry and deployment time, the flux-calculation scheme, and properties of the soil and gas under consideration. Application to actual data and recent studies confirmed that TFU can vary widely within and across sites. The analysis also revealed a highly linear correlation between soil water content and TFU, suggesting that previously observed relationships between water content and trace gas flux may in part reflect artifacts of chamber methodology. The method described here provides a practical means of improving the absolute accuracy of flux estimates and normalizing data obtained using different chamber designs in different soils.</description><identifier>ISSN: 0047-2425</identifier><identifier>EISSN: 1537-2537</identifier><identifier>DOI: 10.2134/jeq2009.0231</identifier><identifier>PMID: 20048300</identifier><identifier>CODEN: JEVQAA</identifier><language>eng</language><publisher>Madison: American Society of Agronomy, Crop Science Society of America, Soil Science Society</publisher><subject>accuracy ; Air Pollutants - chemistry ; Atmosphere ; Atmosphere - chemistry ; bulk density ; Carbon dioxide ; Carbon Dioxide - chemistry ; data analysis ; Environmental Monitoring - methods ; estimation ; experimental design ; Fluctuations ; gas emissions ; mathematical models ; measuring devices ; Models, Chemical ; Moisture content ; Nitrous oxide ; Nitrous Oxide - chemistry ; Physical properties ; Soil - analysis ; soil density ; soil pH ; Soil Pollutants - chemistry ; Soil properties ; soil temperature ; soil texture ; soil transport processes ; Soil water ; soil water content ; soil-atmosphere interactions ; Soils ; spatial variation ; Theory ; uncertainty ; Water content</subject><ispartof>Journal of environmental quality, 2010-01, Vol.39 (1), p.126-135</ispartof><rights>American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America</rights><rights>Copyright American Society of Agronomy Jan/Feb 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4851-1524d740c290261ea3dd5fbf7ab9fa4c165e7c702c42ded9ef95a5470c335d283</citedby><cites>FETCH-LOGICAL-c4851-1524d740c290261ea3dd5fbf7ab9fa4c165e7c702c42ded9ef95a5470c335d283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20048300$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Venterea, Rodney T</creatorcontrib><title>Simplified Method for Quantifying Theoretical Underestimation of Chamber-Based Trace Gas Fluxes</title><title>Journal of environmental quality</title><addtitle>J Environ Qual</addtitle><description>Closed chambers used to measure soil-atmosphere exchange of trace gases including nitrous oxide (N2O) and carbon dioxide (CO2) generate errors due to suppression of the gas concentration gradient at the soil-atmosphere interface. A method is described here for estimating the magnitude of flux underestimation arising from chamber deployment. The technique is based on previously established gas transport theory and has been simplified to facilitate application while preserving the fundamental physical relationships. The method avoids the use of nonlinear regression but requires knowledge of soil properties including texture, bulk density, water content, temperature, and pH. Two options are presented: a numerical technique which is easily adapted to spreadsheet application, and a graphical method requiring minimal calculation. In both cases, the magnitude of theoretical flux underestimation (TFU) is determined, taking into account effects of chamber geometry and deployment time, the flux-calculation scheme, and properties of the soil and gas under consideration. Application to actual data and recent studies confirmed that TFU can vary widely within and across sites. The analysis also revealed a highly linear correlation between soil water content and TFU, suggesting that previously observed relationships between water content and trace gas flux may in part reflect artifacts of chamber methodology. The method described here provides a practical means of improving the absolute accuracy of flux estimates and normalizing data obtained using different chamber designs in different soils.</description><subject>accuracy</subject><subject>Air Pollutants - chemistry</subject><subject>Atmosphere</subject><subject>Atmosphere - chemistry</subject><subject>bulk density</subject><subject>Carbon dioxide</subject><subject>Carbon Dioxide - chemistry</subject><subject>data analysis</subject><subject>Environmental Monitoring - methods</subject><subject>estimation</subject><subject>experimental design</subject><subject>Fluctuations</subject><subject>gas emissions</subject><subject>mathematical models</subject><subject>measuring devices</subject><subject>Models, Chemical</subject><subject>Moisture content</subject><subject>Nitrous oxide</subject><subject>Nitrous Oxide - chemistry</subject><subject>Physical properties</subject><subject>Soil - analysis</subject><subject>soil density</subject><subject>soil pH</subject><subject>Soil Pollutants - chemistry</subject><subject>Soil properties</subject><subject>soil temperature</subject><subject>soil texture</subject><subject>soil transport processes</subject><subject>Soil water</subject><subject>soil water content</subject><subject>soil-atmosphere interactions</subject><subject>Soils</subject><subject>spatial variation</subject><subject>Theory</subject><subject>uncertainty</subject><subject>Water content</subject><issn>0047-2425</issn><issn>1537-2537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkUtvEzEURi0EomlhxxpGLMqGKdevcbwsUVtARahqsrYcz3XjaDJO7RlB_j2OEliwKAs_ZJ17bN-PkDcULhjl4tMaHxmAvgDG6TMyoZKrmpXpOZkAiLIXTJ6Q05zXAJSBal6Sk1IgphxgQsx92Gy74AO21XccVrGtfEzV3Wj7Ifhd6B-q-QpjwiE421WLvsWEeQgbO4TYV9FXs5XdLDHVn20ujnmyDqsbm6vrbvyF-RV54W2X8fVxPSOL66v57Et9--Pm6-zytnZiKmlNJROtEuCYBtZQtLxtpV96ZZfaW-FoI1E5BcwJ1mKr0WtppVDgOJctm_Iz8uHg3ab4OJYXmk3IDrvO9hjHbBQXjIHmTSHPnyR5I1gzlfq_YOk-1ULv737_D7iOY-rLdw0XSoIQVBXo4wFyKeac0JttKl1MO0NhrxLmGKTZB1nwt0fnuNxg-xf-k1wB9AH4GTrcPSkz367u2H6Ug6P83aHW22jsQwrZLO4ZUA5UMcYbzX8DTbyxoQ</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Venterea, Rodney T</creator><general>American Society of Agronomy, Crop Science Society of America, Soil Science Society</general><general>American Society of Agronomy</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KL.</scope><scope>L6V</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>SOI</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>201001</creationdate><title>Simplified Method for Quantifying Theoretical Underestimation of Chamber-Based Trace Gas Fluxes</title><author>Venterea, Rodney T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4851-1524d740c290261ea3dd5fbf7ab9fa4c165e7c702c42ded9ef95a5470c335d283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>accuracy</topic><topic>Air Pollutants - 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Academic</collection><jtitle>Journal of environmental quality</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Venterea, Rodney T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simplified Method for Quantifying Theoretical Underestimation of Chamber-Based Trace Gas Fluxes</atitle><jtitle>Journal of environmental quality</jtitle><addtitle>J Environ Qual</addtitle><date>2010-01</date><risdate>2010</risdate><volume>39</volume><issue>1</issue><spage>126</spage><epage>135</epage><pages>126-135</pages><issn>0047-2425</issn><eissn>1537-2537</eissn><coden>JEVQAA</coden><abstract>Closed chambers used to measure soil-atmosphere exchange of trace gases including nitrous oxide (N2O) and carbon dioxide (CO2) generate errors due to suppression of the gas concentration gradient at the soil-atmosphere interface. A method is described here for estimating the magnitude of flux underestimation arising from chamber deployment. The technique is based on previously established gas transport theory and has been simplified to facilitate application while preserving the fundamental physical relationships. The method avoids the use of nonlinear regression but requires knowledge of soil properties including texture, bulk density, water content, temperature, and pH. Two options are presented: a numerical technique which is easily adapted to spreadsheet application, and a graphical method requiring minimal calculation. In both cases, the magnitude of theoretical flux underestimation (TFU) is determined, taking into account effects of chamber geometry and deployment time, the flux-calculation scheme, and properties of the soil and gas under consideration. Application to actual data and recent studies confirmed that TFU can vary widely within and across sites. The analysis also revealed a highly linear correlation between soil water content and TFU, suggesting that previously observed relationships between water content and trace gas flux may in part reflect artifacts of chamber methodology. The method described here provides a practical means of improving the absolute accuracy of flux estimates and normalizing data obtained using different chamber designs in different soils.</abstract><cop>Madison</cop><pub>American Society of Agronomy, Crop Science Society of America, Soil Science Society</pub><pmid>20048300</pmid><doi>10.2134/jeq2009.0231</doi><tpages>10</tpages></addata></record> |
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subjects | accuracy Air Pollutants - chemistry Atmosphere Atmosphere - chemistry bulk density Carbon dioxide Carbon Dioxide - chemistry data analysis Environmental Monitoring - methods estimation experimental design Fluctuations gas emissions mathematical models measuring devices Models, Chemical Moisture content Nitrous oxide Nitrous Oxide - chemistry Physical properties Soil - analysis soil density soil pH Soil Pollutants - chemistry Soil properties soil temperature soil texture soil transport processes Soil water soil water content soil-atmosphere interactions Soils spatial variation Theory uncertainty Water content |
title | Simplified Method for Quantifying Theoretical Underestimation of Chamber-Based Trace Gas Fluxes |
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