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Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China
The Sanjiang Plain (SJP), one of the major rice producing regions in China, is an important source of methane (CH(4)) emissions. However, there have been large uncertainties in the estimates of CH(4) emissions from this area during the past few years. In this study, we estimated CH(4) emissions usin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460792/ https://www.ncbi.nlm.nih.gov/pubmed/28586357 http://dx.doi.org/10.1371/journal.pone.0176765 |
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author | Sun, Minmin Zhang, Yuan Ma, Jing Yuan, Wenping Li, Xianglan Cheng, Xiao |
author_facet | Sun, Minmin Zhang, Yuan Ma, Jing Yuan, Wenping Li, Xianglan Cheng, Xiao |
author_sort | Sun, Minmin |
collection | PubMed |
description | The Sanjiang Plain (SJP), one of the major rice producing regions in China, is an important source of methane (CH(4)) emissions. However, there have been large uncertainties in the estimates of CH(4) emissions from this area during the past few years. In this study, we estimated CH(4) emissions using a process-based model derived by rice area, CH(4) flux, land surface temperature (LST), and the ratio of precipitation (P) and evapotranspiration (ET) in rice paddies in the SJP during the rice growing seasons in 2000, 2006, and 2010, respectively. The results showed that the total area of rice fields was 1.64 million ha in 2010, which was approximately 35 and 13% higher than in 2000 and 2006, respectively. The average LST was 22.1°C in 2000 which was higher than in 2006 (21.6°C) and 2010 (21.5°C). Monthly ET and P displayed similar seasonal and annual variability. The monthly ET was 61.7, 66.5, and 63.0 mm month(-1) and P was 85.1, 80.6 and 85.9 mm month(-1) during the rice growing seasons in 2000, 2006, and 2010, respectively. The averaged CH(4) flux rates were 24.83, 24.63, and 24.59 ton km(-2), and the estimated mean annual CH(4) emissions from rice paddies were 0.30, 0.36, and 0. 40 Tg yr(-1) in 2000, 2006, and 2010, respectively. The CH(4) emissions displayed obvious spatial variations that decreased from east to west in the SJP, and were mainly affected by temperature. The results will improve our understanding of the inter-annual and spatial variations of CH(4) emissions and provide a more accurate regional budget of CH(4) emissions from rice paddies in the Sanjiang Plain. |
format | Online Article Text |
id | pubmed-5460792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54607922017-06-15 Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China Sun, Minmin Zhang, Yuan Ma, Jing Yuan, Wenping Li, Xianglan Cheng, Xiao PLoS One Research Article The Sanjiang Plain (SJP), one of the major rice producing regions in China, is an important source of methane (CH(4)) emissions. However, there have been large uncertainties in the estimates of CH(4) emissions from this area during the past few years. In this study, we estimated CH(4) emissions using a process-based model derived by rice area, CH(4) flux, land surface temperature (LST), and the ratio of precipitation (P) and evapotranspiration (ET) in rice paddies in the SJP during the rice growing seasons in 2000, 2006, and 2010, respectively. The results showed that the total area of rice fields was 1.64 million ha in 2010, which was approximately 35 and 13% higher than in 2000 and 2006, respectively. The average LST was 22.1°C in 2000 which was higher than in 2006 (21.6°C) and 2010 (21.5°C). Monthly ET and P displayed similar seasonal and annual variability. The monthly ET was 61.7, 66.5, and 63.0 mm month(-1) and P was 85.1, 80.6 and 85.9 mm month(-1) during the rice growing seasons in 2000, 2006, and 2010, respectively. The averaged CH(4) flux rates were 24.83, 24.63, and 24.59 ton km(-2), and the estimated mean annual CH(4) emissions from rice paddies were 0.30, 0.36, and 0. 40 Tg yr(-1) in 2000, 2006, and 2010, respectively. The CH(4) emissions displayed obvious spatial variations that decreased from east to west in the SJP, and were mainly affected by temperature. The results will improve our understanding of the inter-annual and spatial variations of CH(4) emissions and provide a more accurate regional budget of CH(4) emissions from rice paddies in the Sanjiang Plain. Public Library of Science 2017-06-06 /pmc/articles/PMC5460792/ /pubmed/28586357 http://dx.doi.org/10.1371/journal.pone.0176765 Text en © 2017 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sun, Minmin Zhang, Yuan Ma, Jing Yuan, Wenping Li, Xianglan Cheng, Xiao Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title | Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title_full | Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title_fullStr | Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title_full_unstemmed | Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title_short | Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China |
title_sort | satellite data based estimation of methane emissions from rice paddies in the sanjiang plain in northeast china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460792/ https://www.ncbi.nlm.nih.gov/pubmed/28586357 http://dx.doi.org/10.1371/journal.pone.0176765 |
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