秦岭北麓地区CO<sub>2</sub>和水汽湍流输送实验研究

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Abstract Based on the data obtained on April 2021 to March 2023 from eddy covariance measurements at aerosol and cloud microphysical characteristics field station over Qinling Mountains, CMA, the characteristics of CO₂ and H₂O concentration, evaporation, and flux of CO₂ and H₂O were studied and compared with some urban and suburban sites. The influence of temperature, soil temperature at 5cm depth, relative humidity, wind speed and wind direction on CO₂ flux were discussed. Furthermore, the total annual CO₂ emission/absorption at the northern part of Qinling Mountains was estimated. The result showed that annual mean concentration of CO₂ was (404.4±27.9)×10^-6, which was significantly lower than those obtained at urban and suburban areas in East China while compared to the values observed at the global atmospheric background stations and the Chinese atmospheric background stations (Waliguan, Qinghai). The monthly mean concentration of CO₂ showed bimodal variation with one peak values in February and the other in October, and the minimum concentration of CO₂ was observed in June. The diurnal variation of CO₂ concentration showed higher in the early morning and midnight, while lower in the midday during four seasons. The annual mean concentration of H₂O was 9.44g/m³. And the total annual evaporation was about 1321.5mm with higher values in summer (598.1mm) and lower values in winter (84.7mm). The CO₂ flux observed at Chang'an Station showed obviously diurnal and monthly variation. And it showed strong absorption during daytime in four seasons with the maximum values appearing in June (-11.95 μmol/(m²·s)), and lowest values in January (-4.06 μmol/(m²·s)). For the nighttime it showed net emissions with higher values in July and lower in January. The water vapor flux showed relative higher during daytime and close to zero at night. The total CO₂ absorption at daytime was about -3047g/m², and the total emission of CO₂ at night was about 2631g/m² during the observation period. The diurnal and easonal variation of CO₂ flux was associate with solar radiation, air temperature, soil temperature at 5cm depth, wind speed fluctuations and relative humidity. The result showed that the absorption and emission rate of CO₂ at Chang’an station were both increased with temperature, and the respiration of plants was more sensitive to the increased of temperature during nighttime. The negative values of CO₂ flux appeared mostly under westerly wind directions during the daytime, which mainly from the area with large coverage of farmland and vegetation. The positive values of CO₂ flux at night were both higher under southwesterly and easterly wind directions, which indicating that respiration of plants and anthropogenic emissions were both important to the emission of CO₂. In general, the ecosystem of the suburban area with high vegetation coverage in the northern part of the Qinling Mountains was an obvious carbon sink, and the net absorption of CO₂ during the study period was about -416g/m².

Key words： CO₂ flux the northern part of Qinling Mountains suburban area eddy covariance method meteorological factors

Received: 15 October 2023

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X171.1

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	PENG Yan
	ZHAO Kui-feng
	ZHANG Lu
	ZHANG Hong-sheng
	LI Xing-min

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PENG Yan,ZHAO Kui-feng,ZHANG Lu等. The observation and study on the turbulent flux and transport of CO₂ and H₂O over suburban areas at the northern part of Qinling Mountains of China[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(5): 2407-2417.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I5/2407

[1] IPCC. Climate change 2013[C]//Stocker T F, Qin D, Plattner G K, et al. The physical science basis contribution of Working Group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge and New York:Cambridge University Press, 2013:1-1535
[2] Friedlingstein P, Jones M W, O'Sullivan M, et al. Global Carbon Budget 2019[J]. Earth System Science Data, 2019,11(4):1783-1838.
[3] IPCC. Climate change 2021:the physical science basis[M]//Lee J Y, Marotzke J, Bala G, et al. Future global climate:scenario-42based projections and near-term information. Cambridge:Cambridge University Press, 2021:1-195.
[4] Baldocchi D, Falge E, Gu L, et al. FLUXNET:A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities[J]. Bulletin of the American Meteorological Society, 2001,82(11):2415-2434.
[5] Watts M. Cities spearhead climate action[J]. Nature Climate Change, 2017,7:537-538.
[6] Satterthwaite D. Cities'contribution to global warming:notes on the allocation of greenhouse gas emissions[J]. Environment and Urbanization, 2008,20:539-550.
[7] Satterthwaite D. The contribution of cities to global warming and their potential contributions to solutions[J]. Environment and Urbanization ASIA, 2010,1:1-12.
[8] Ye X, Lauvaux T, Kort E A, et al. Constraining fossil fuel CO₂ emissions from urban area using OCO-2 observations of total column CO₂[J]. Journal Of Geophysical Research-atmospheres, 2020,125, e2019JD030528.
[9] Ward H C, Kotthaus S, Grimmond C S B, et al. Effects of urban density on carbon dioxide exchanges:Observations of dense urban, suburban, and woodland areas of southern England[J]. Environmental Pollution, 2015,198:186-200.
[10] Gioli B, Toscano P, Lugato E, et al. Methane and carbon dioxide fluxes and source partitioning in urban areas:the case study of Florence, Italy[J]. Environmental Pollution, 2012,164:125-131.
[11] Lietzke B, Vogt R, Feigenwinter C, et al. On the controlling factors for the variability of carbon dioxide flux in a heterogeneous urban environment[J]. International Journal of Climatology, 2015,35:3921-3941.
[12] Hirano T, Sugawara H, Murayama S, et al. Diurnal variation of CO₂ flux in an urban area of Tokyo[J]. SOLA, 2015,11:100-103.
[13] Sargent M, Barrera Y, Nehrkorn T, et al. Anthropogenic and biogenic CO₂ fluxes in the Boston urban region. Proc. Natl. Acad. Sci. U. S. A. 2018,115:7491-7496.
[14] Shusterman A A, Kim J, Lieschke K J, et al. Observing local CO₂ sources using low-cost, near-surface urban monitors[J]. Atmospheric Chemistry and Physics, 2018,18:13773-13785.
[15] Turner A J, Shusterman A A, McDonald B C, et al. Network design for quantifying urban CO₂ emissions:assessing trade-offs between precision and network density[J]. Atmospheric Chemistry and Physics, 2016,16:13465-13475.
[16] Lin J C, Mitchell L, Crosman E, et al. CO₂ and carbon emissions from cities:linkages to air quality, socioeconomic activity, and stakeholders in the Salt Lake City urban area[J]. Bulletin of the American Meteorological Society, 2018,99:2325-2339.
[17] Mitchell L E, Lin J C, Bowling D R, et al. Long-term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth[J]. Proceedings of the National Academy of Sciences of the United States of America. 2018,115:2912-2917.
[18] Fu P, Xie Y, Moore C E, et al. A comparative analysis of anthropogenic CO₂ emissions at city level using OCO-2observations:a global perspective[J]. Earth's Future, 2019,7:1058-1070.
[19] Song T, Wang Y. Carbon dioxide fluxes from an urban area in Beijing[J]. Atmospheric Research, 2012,106:139-149.
[20] 刘晓曼,程雪玲,胡非.北京城区二氧化碳浓度和通量的梯度变化特征-Ⅰ浓度与虚温[J].地球物理学报, 2015,58(5):1502-1512. Liu X M, Cheng X L, Hu F. Gradient characteristics of CO₂ concentration and flux in Beijing urban area part:concentration and virtual temperature[J]. Chinese Journal of Geophysics, 2015,58(5):1502-1512.
[21] 段月,程雪玲,华维,等.北京城区二氧化碳时空分布及湍流谱特征[J].气候与环境研究, 2018,23(6):725-736. Duan Y, Cheng X L, Hua W, et al. Spatial and temporal distribution of CO₂ and its spectrum characteristic in Beijing urban area[J]. Climatic and Environmental Research, 2018,23(6):725-736.
[22] 邹钧,孙鉴泞,郭维栋,等.长江三角洲地区城市、郊区和乡村下垫面的CO₂通量观测[J].环境科学学报, 2023,43(3):281-292. Zou J, Sun J N, Guo W D, et al. Measurements of CO₂ flux over urban,suburban and rural surfaces in Yangtze River Delta region of China[J]. Acta Scientiae Circumstantiae, 2023,43(3):281-292.
[23] 何文,刘辉志,冯健武.城市近地层湍流通量及CO₂通量变化特征[J].气候与环境研究, 2010,15(1):21-33. He W, Liu H Z, Feng J W, Characteristics of turbulent fluxes and carbon dioxide flux over urban surface layer[J]. Climatic and Environmental Research, 2010,15(1):21-33.
[24] Stagakis S, Chrysoulakis N, Spyridakis N, et al. Eddy covariance measurements and source partitioning of CO₂ emissions in an urban environment:Application for Heraklion, Greece[J]. Atmospheric Environment, 2019,201:278-292.
[25] Bergeron O, Strachan I. CO₂ sources and sinks in urban and suburban areas of a northern mid-latitude city[J]. Atmospheric Environment, 2011,45:1564-1573.
[26] Velasco E, Pressley S, Allwine E, et al. Measurements of CO₂ fluxes from the Mexico City urban landscape[J]. Atmospheric Environment, 2005,39:7433-7446.
[27] Vickers D, Mahrt L. Quality control and flux sampling problems for tower and aircraft data[J]. Journal of Atmospheric and Oceanic Technology, 1997,14:512-526.
[28] Wilczak J M, Oncley S P, Stage S A. Sonic anemometer tilt correction algorithms[J]. Boundary Layer Meteorology, 2001,99(1):127-150.
[29] Falge E, Baldocchi D, Olson R, et al. Gap filling strategies for long term energy flux data sets[J]. Agricultural and Forest Meteorology, 2001,107:71-77.
[30] 雷慧闽.华北平原大型灌区生态水文机理与模型研究[D].北京:清华大学, 2011. Lei H M. Ecohydrological processes in a Large irrigated area of the North China Plain:Field observation and modeling[D]. Beijing:Tsinghua University, 2011.
[31] 高兴艾,朱凌云,闫世明,等.典型高碳排放城市临汾温室气体时空分布特征及影响因素[J].干旱气象, 2022,40(2):256-265. Gao X A, Zhu L Y, Yan S M, et al. Spatio-temporal distribution characteristics of greenhouse gases and their influence factors in Linfen with typical high carbon emission[J]. Journal of Arid Meteorology, 2022,40(2):256-265.
[32] 韦芬芬,林惠娟,曹舒娅,等.苏南地区CO₂本底浓度及源汇特征[J].中国环境科学, 2020,40(3):975-982. Wei F F, Lin H J, Cao S Y, et al. A study on background concentration and source-sink characteristics of CO₂ in south of Jiangsu[J]. China Environmental Science, 2020,40(3):975-982.
[33] Wei C, Wang M, Fu Q, et al. Temporal characteristics of greenhouse gases (CO₂ and CH4) in the megacity Shanghai, China:association with air pollutants and meteorological conditions[J]. Atmospheric Research, 2020,235:104759.
[34] 陈昆,余焰文,,夏玲君,等.基于多站对比的南昌地区大气CO₂浓度变化特征分析[J].环境科学学报, 2023,43(3):293-302. Chen K, Yu Y W, Xia L J, et al. An inter-comparison study on the variations of atmospheric CO₂ mole fractions observed at multiple stations in Nanchang City[J]. Acta Scientiae Circumstantiae, 2023, 43(3):293-302.
[35] 麦博儒,邓雪娇,刘霞,等.珠江三角洲地区大气CO₂浓度特征及地面风的作用[J].热带气象学报, 2023,39(1):11-22. Mai B R, Deng X J, Liu X, et al. Characteristics of atmospheric CO₂ concentration and their correlations with surface wind in the pearl river delta[J]. Journal of Tropical Meteorology, 2023,39(1):11-22.
[36] Wang P, Zhou W J, Niu Z C, et al. Spatio-temporal variability of atmospheric CO₂ and its main causes:A case study in Xi'an city, China[J]. Atmospheric Research, 2021,249:105346.
[37] 张勇,颜鹏,靳军莉,等.中国大气本底观测:减污降碳背景下主要大气成分变化趋势[J].气象科技进展, 2022,12(1):19-25. Zhang Y, Yan P, Jin J L, et al. Atmospheric background observations in China:Trends of major atmospheric components in the background of pollution and carbon reduction[J]. Advances in Meteorological Science and Technology, 2022,12(1):19-25.
[38] 中国气象局气候变化中心.中国温室气体公报[R]. 2023,北京:中国气象局. Climate Change Center of China Meteorological Administration. The bulletin of greenhouse gases in the atmosphere[R]. Beijing:China Meteorological Administration, 2023.
[39] Dettinger M D and Ghil M. Seasonal and inter-annual variations of atmospheric CO₂ and climate[J]. Tellus, 1998,50B:1-24.
[40] 张凯迪,龚元,郭智娟,等.2011和2016年亚热带城市生态系统通量源区及CO₂通量特征-以上海市奉贤大学城为例[J].上海师范大学学报(自然科学版), 2018,47(4):458-465. Zhang K D, Gong Y, Guo Z J, et al. Flux source area and CO₂ flux characteristics of subtropical urban ecosystem in 2011 and 2016:A case study of Shanghai Fengxian University City[J]. Journal of Shanghai Normal University (Natural Sciences), 2018,47(4):458-465.
[41] 李润东,范雅倩,冯沛,等.北京松山天然落叶阔叶林生态系统净碳交换特征及其影响因子[J].应用生态学报, 2020,31(11):3621-3630. Li R D, Fan Y Q, Feng P, et al. Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China[J]. Chinese Journal of Applied Ecology, 2020,31(11):3621-3630.
[42] Frank A B. Carbon dioxide fluxes over a grazed prairie and seeded pasture in the Northern Great Plains[J]. Environmental Pollution, 2002,116:397-403.
[43] 纪小芳,鲁建兵,杨军.凤阳山针阔混交林碳通量变化特征及其影响因子[J].东北林业大学学报, 2019,47(3):49-55. Ji X F, Lu J B, Yang J. Carbon Flux Variation Characteristics and Its Influencing Factors in Coniferous and Broad-leaved Mixed Forest in Fengyang Mountain[J]. Journal of northeast forestry university, 2019,47(3):49-55.
[44] 孙思思,吴战平,肖启涛,等.云贵高原草地生态系统CO₂通量变化特征[J].草业学报, 2020,29(4):184-191. Sun S S, Wu Z P, Xiao Q T, et al. Factors influencing CO₂ fluxes of a grassland ecosystem on theYunnan-Guizhou Plateau, China[J]. Acta Prataculturae Sinica, 2020,29(4):184-191.
[45] Kato T, Tang Y, Song G U, et al. Temperature and biomass influences on interannual changes in CO₂ exchange in an alpine, meadow on the Qinghai-Tibetan Plateau[J]. Global change biology, 2006,12(7):1285-1298.
[46] Bergeron O, Strachan I. CO₂ sources and sinks in urban and suburban areas of a northern mid-latitude city[J]. Atmospheric Environment, 2011,45:1564-1573.
[47] Weissert L F, Salmond J A, Turnbull J C, et al. Temporal variability in the sources and fluxes in an evergreen subtropical city[J]. Atmospheric Environment, 2016,143:164-176.
[48] 亚毅,李玉强,龚相文,等.沙质草地生长季生态系统碳净交换量特征及土壤呼吸贡献率[J].生态学杂志, 2017,36(9):2423-2430. Niu Y Y, Li Y Q, Gong X W, et al. The characteristics of net ecosystem carbon exchange and the contribution of soil respiration during the growing season in sandy grassland[J]. Chinese Journal of Ecology, 2017,36(9):2423-2430.
[49] 张婷,周军志,李建柱,等.陆地生态系统碳水通量特征研究进展[J].地球环境学报, 2022,3(6):645-666. Zhang T, Zhou J Z, Li J Z, et al. Review on research and development of carbon and water fluxes characteristics in terrestrial ecosystem[J]. Journal of Earth Environment, 2022,3(6):645-666.