Spatio-temporal Distributions of Tropospheric NO<sub>2</sub> over Oases in Taklimakan Desert, China

QI Yue

doi:10.1007/s11769-014-0696-z

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

doi: 10.1007/s11769-014-0696-z

QI Yue^1,2,3,

1.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2.
Max Planck Institute for Chemistry, Mainz 55122, Germany;
3.
University of Chinese Academy of Sciences, Beijing 100049, China

基金项目: Under the auspices of German Research Foundation and Max Planck Society (No. MA 4798/1-1), National Natural Science Foundation of China (No. 31070384)

详细信息

通讯作者:
QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

QI Yue^{1,2,3
,}

1.
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2.
Max Planck Institute for Chemistry, Mainz 55122, Germany;
3.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: Under the auspices of German Research Foundation and Max Planck Society (No. MA 4798/1-1), National Natural Science Foundation of China (No. 31070384)

More Information

Corresponding author: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

摘要: Soil biogenic NO emission is one of the most important sources of atmospheric nitrogen oxides (NO_x) worldwide. However, the estimation of soil source, especially in arid areas presents large uncertainties because of the substantial lack of measurements. In this study, we selected the Ruoqiang oases on the southeastern edge of the Taklimakan Desert, China as the study area and applied Ozone Monitoring Instrument (OMI) NO₂ retrievals (DOMINO v2.0, 2005-2011) to investigate the spatial distribution and seasonal variations in tropospheric NO₂ vertical column density (VCD). High NO₂ VCDs were observed over the oases (farmlands and natural vegetation), with the highest value obtained during summer, and lowest during winter. Pulses were observed during spring. We conducted in-situ measurements in June 2011 in Milan oasis and employed ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) instruments to validate satellite NO₂ retrievals. The findings are as follows: 1) in the study area soil biogenic NO emission is the dominant source of tropospheric NO₂; 2) oases (farmlands) are hotspots of tropospheric NO₂, and a higher increase in tropospheric NO₂ is found in oases from winter to summer; and 3) enhancement of soil biogenic NO emission due to soil managements is predictable. Given the rapid agricultural development in the southern Uygur Autonomous Region of Xinjiang, researches on soil biogenic NO emission and increase in tropospheric NO_x should be given more importance.
- NO₂ vertical column density /
- ozone monitoring instrument (OMI) /
- soil biogenic NO emission /
- arid area /
- agricultural management
Abstract: Soil biogenic NO emission is one of the most important sources of atmospheric nitrogen oxides (NO_x) worldwide. However, the estimation of soil source, especially in arid areas presents large uncertainties because of the substantial lack of measurements. In this study, we selected the Ruoqiang oases on the southeastern edge of the Taklimakan Desert, China as the study area and applied Ozone Monitoring Instrument (OMI) NO₂ retrievals (DOMINO v2.0, 2005-2011) to investigate the spatial distribution and seasonal variations in tropospheric NO₂ vertical column density (VCD). High NO₂ VCDs were observed over the oases (farmlands and natural vegetation), with the highest value obtained during summer, and lowest during winter. Pulses were observed during spring. We conducted in-situ measurements in June 2011 in Milan oasis and employed ground-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) instruments to validate satellite NO₂ retrievals. The findings are as follows: 1) in the study area soil biogenic NO emission is the dominant source of tropospheric NO₂; 2) oases (farmlands) are hotspots of tropospheric NO₂, and a higher increase in tropospheric NO₂ is found in oases from winter to summer; and 3) enhancement of soil biogenic NO emission due to soil managements is predictable. Given the rapid agricultural development in the southern Uygur Autonomous Region of Xinjiang, researches on soil biogenic NO emission and increase in tropospheric NO_x should be given more importance.
- NO₂ vertical column density /
- ozone monitoring instrument (OMI) /
- soil biogenic NO emission /
- arid area /
- agricultural management

[1]	Boersma K F, Eskes H J, Dirksen R J et al., 2011. An improved tropospheric NO₂ column retrieval algorithm for the Ozone Monitoring Instrument. Atmospheric Chemistry and Physics, 4(26): 1905-1928. doi: 10.5194/amt-4-1905-2011
[2]	Boersma K F, Eskes H J, Veefkind J P et al., 2007. Near-real time retrieval of tropospheric NO₂ from OMI. Atmospheric Chemistry and Physics, 7(8): 2103-2118. doi: 10.5194/acp-7-2103-2007
[3]	Bouwman A F, Bouman L J M, Batjes N H, 2002a. Emissions of N₂O and NO from fertilized fields: Summary of available measurement data. Global Biogeochemical Cycles, 16(4): 1058. doi: 10.1029/2001GB001811
[4]	Bouwman A F, Bouman L J M, Batjes N H, 2002b. Modeling global annual N₂O and NO emissions from fertilized fields. Global Biogeochemical Cycles, 16(4): 1080. doi: 10.1029/ 2001GB001812
[5]	Chameides W, Fehsenfeld F, Rodgers M O et al., 1992. Ozone precursor relationships in the ambient atmosphere. Journal of Geophysical Research, 92(D5): 6037-6055. doi: 10.1029/ 91JD03014
[6]	Chen D, Zhou B, Beirle S et al., 2009. Tropospheric NO₂ column densities deduced from zenith-sky DOAS measurements in Shanghai, China, and their application to satellite validation. Atmospheric Chemistry and Physics, 9(3): 3641-3662. doi: 10.5194/acp-9-3641-2009
[7]	Davidson E A, 1992. Pulses of nitric oxide and nitrous flux following wetting of dry soil: An assessment of probable sources and importance relative annual fluxes. Ecological Bulletins, 42: 149-155.
[8]	Denman K L, Brasseur G P, Chidthaisong A et al., 2007. Couplings Between Changes in the Climate System and Biogeochemistry, in Climate Change 2007: The Physical Science Basis. Cambridge, U.K.: Cambridge University Press, 499-587.
[9]	Fayt C, van Roozendael M, 2001. WinDOAS 2.1 Software User Manual. Available at: http://www.oma.be/BIRA-IASB.Molecules/BrO/WinDOAS-SUM-210b.pdf.
[10]	Feig G T, Mamtimin B, Meixner F X, 2008. Soil biogenic emissions of nitric oxide from a semi-arid savanna in South Africa. Biogeosciences, 5(4): 1723-1738. doi: 10.5194/bgd-5-2795-2008
[11]	Galbally W, Kirstine C P, Meyer Y P et al., 2008. Soil- atmosphere trace gas exchange in semiarid and arid zones. Journal of Environmental Quality, 37(2): 599-607. doi: 10.2134/ jeq2006.0445
[12]	Galloway J N, Dentener F J, Capone D G et al., 2004. Nitrogen cycles: Past, present and future. Biogeochemistry, 70(2):
[13]	153-226. doi: 10.1007/s10533-004-0370-0
[14]	Ghude S D, Lal D M, Beig G et al., 2010. Rain-Induced soil NO_x emission from India during the Onset of the Summer Monsoon: A satellite perspective. Journal of Geophysical Research, 115(D16): D16304. doi: 10.1029/2009JD013367
[15]	Gu Huaxiang, He Jianmin, 2004. The existing problem of sustainable development strategy in Xinjiang and some solutions. Journal of Xinjiang Normal University (Social Sciences), 25(1): 69-77. (in Chinese)
[16]	Harrison P, Pearce F, 2000. Deserts and Drylands, AAAS Atlas of Population and Environment. Berkeley, U.S.A.: University of California Press, 3-17.
[17]	Hartley A E, Schlesinger W H, 2000. Environmental controls on nitric oxide emission from northern Chihuahua desert soils. Biogeochemistry, 50(3): 2790-3000. doi: 10.1023/A: 1006377832207
[18]	Hudman R C, Russel A R, Valin L C et al., 2010. Interannual variability in soil nitric oxide emissions over the United States as viewed from space. Atmospheric Chemistry and Physics Discussions, 10(20): 13029-13053. doi: 10.5194/acp-10-9943-2010
[19]	Jaegle L, Martin R V, Chance K et al., 2004. Satellite mapping of rain-induced nitric oxide emissions from soils. Journal of Geophysics Research, 109(D21): D21310. doi: 10.1029/ 2004JD004787
[20]	Jaegle L, Steinberger L, Martin R V et al., 2005. Global partitioning of NO_x sources using satellite observations: Relative roles of fossil fuel combustion, biomass burning and soil emissions. Fraday Discussion, 130: 407-423. doi: 10.1039/ B502128F
[21]	Koeppen W, 1931. Grundriss der Klimakunde. Berlin/Leipzig, Germany: Gruyter Verlag. (in German)
[22]	Levelt P F, van den Oord G H J, Dobber M R et al., 2006. The Ozone monitoring instrument. IEEE Transactions on Geoscience and Remote Sensing, 44(5): 1093-1101. doi: 10.1109/TGRS.2006.872333
[23]	Lin J T, 2012. Satellite constraint for emissions of nitrogen oxides from anthropogenic, lightning and soil sources over East China on a high-resolution grid. Atmospheric Chemistry and Physics, 12(6): 2881-2898. doi: 10.5194/acp-12-2881-2012
[24]	Ma Huilan, Zhou Chuanbao, 2012. The analysis of environmental impacts of chemical fertilizer in Tarim River Basin. Chinese Agricultural Science Bulletin, 28(35): 244-250. (in Chinese)
[25]	Ma J, Richter A, Burrows J P et al., 2006. Comparison of model-simulated tropospheric NO₂over China with GOME-satellite data. Atmospheric Environment, 40(4): 593-604. doi: 10.1016/j.atmosenv.2005.09.029
[26]	Mamtimin B, 2005. The Climate Conditions in Arid and Semiarid Regions and Possibilities of Sustainable Agricultural Utilization. Mainz, Germany: Johannes Gutenberg-University, 57-74.
[27]	Meixner F X, Yang W X, 2006. Biogenic Emissions of Nitric Oxide and Nitrous Oxide from Arid and Semi-arid Land, in Dryland Ecohydrology. Dordrecht, Netherlands: Springer, 21-34.
[28]	Platt U, Stutz J, 2008. Differential Optical Absorption Spectroscopy, Principles and Applications. Berlin, Germany: Springer, 23-338.
[29]	Scholes M C, Martin R, Scholes R J et al., 1997. NO and N₂O emissions from savanna soils following the first simulated rains of the season. Nutrient Cycling in Agroecosystems, 48(1-2): 115-122. doi: 10.1023/A:1009781420199
[30]	Shaiganfar R, Beirle S, Sharmar M et al., 2011. Estimation of NO_x emissions from Delhi using Car MAX-DOAS observations and comparison with OMI satellite data. Atmospheric Chemistry and Physics, 11(21): 10871-10887. doi: 10.5194/ acp-11-10871-2011

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Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

doi: 10.1007/s11769-014-0696-z

通讯作者:
QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

Corresponding author: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

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Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

doi: 10.1007/s11769-014-0696-z

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

2. Max Planck Institute for Chemistry, Mainz 55122, Germany;

3. University of Chinese Academy of Sciences, Beijing 100049, China

通讯作者: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

English Abstract

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

2. Max Planck Institute for Chemistry, Mainz 55122, Germany;

3. University of Chinese Academy of Sciences, Beijing 100049, China

Corresponding author: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

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Spatio-temporal Distributions of Tropospheric NO2 over Oases in Taklimakan Desert, China

doi: 10.1007/s11769-014-0696-z

通讯作者: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

Spatio-temporal Distributions of Tropospheric NO2 over Oases in Taklimakan Desert, China

Corresponding author: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

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出版历程

Spatio-temporal Distributions of Tropospheric NO2 over Oases in Taklimakan Desert, China

doi: 10.1007/s11769-014-0696-z

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Max Planck Institute for Chemistry, Mainz 55122, Germany; 3. University of Chinese Academy of Sciences, Beijing 100049, China

通讯作者: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

English Abstract

Spatio-temporal Distributions of Tropospheric NO2 over Oases in Taklimakan Desert, China

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2. Max Planck Institute for Chemistry, Mainz 55122, Germany; 3. University of Chinese Academy of Sciences, Beijing 100049, China

Corresponding author: QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

全文HTML

目录

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

通讯作者:
QI Yue.E-mail:qiy.07s@igsnrr.ac.cn

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

2. Max Planck Institute for Chemistry, Mainz 55122, Germany;

3. University of Chinese Academy of Sciences, Beijing 100049, China

Spatio-temporal Distributions of Tropospheric NO₂ over Oases in Taklimakan Desert, China

1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

2. Max Planck Institute for Chemistry, Mainz 55122, Germany;

3. University of Chinese Academy of Sciences, Beijing 100049, China