上海春季近地面大气CO2浓度空间分布特征及其影响因素分析

doi:10.11870/cjlyzyyhj201509001

长江流域资源与环境 >> 2015, Vol. 24 >> Issue (09): 1443-1450.doi: 10.11870/cjlyzyyhj201509001

•　区域可持续发展　• 下一篇

上海春季近地面大气CO₂浓度空间分布特征及其影响因素分析

朱希扬^1,3, 潘晨^2,3, 刘敏^1,3, 杨芳^1,3, 贾文晓^1,3, 象伟宁^1,3

1. 华东师范大学生态与环境科学学院, 上海 200241;
2. 华东师范大学地理科学学院, 上海 200241;
3. 华东师范大学上海市城市化生态过程与生态恢复重点实验室, 上海 200241

收稿日期:2014-11-26 修回日期:2015-01-30 出版日期:2015-09-20
作者简介:朱希扬(1990~),男,硕士研究生,主要研究方向为城市生态学.E-mail:zxy_yang@163.com
基金资助:
国家自然科学基金项目(41201092, 41471076);华东师范大学创新基金项目(78210270, 13902-515492-14001)

Spatial characteristics of near surface CO₂ concentration and analysis on its influencing factors in spring in shanghai city

ZHU Xi-yang^1,3, PAN Chen^2,3, LIU Min^1,3, YANG Fang^1,3, JIA Wen-xiao^1,3, XIANG Wei-ning^1,3

1. School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China;
2. School of Geographic Sciences, East China Normal University, Shanghai 200241, China;
3. Shanghai Key Lab for Urban Ecological Processes and Eco-restoration, East China Normal University, Shanghai 200241, China

Received:2014-11-26 Revised:2015-01-30 Online:2015-09-20
Contact: 刘敏,E-mail:mliu@re.ecnu.edu.cn E-mail:mliu@re.ecnu.edu.cn

摘要/Abstract

摘要： 基于移动监测手段获取上海春季典型样带近地面CO₂浓度监测数据,在明确近地面CO₂浓度空间分布格局的基础上,分析了城市化水平以及土地利用类型对近地面CO₂浓度的影响。结果表明上海市春季近地面CO₂浓度空间分布呈现西高东低、北高南低的特征,空间异质性较为明显,市中心比郊区高出55.1 μmol/mol(13.3%),存在着明显的城市"CO₂"岛现象。城市化水平对于上海市近地面CO₂浓度影响较为显著,总体上呈现随城市化水平上升而下降的趋势,距市中心距离每增加1 km,CO₂浓度下降1.56 μmol/mol。上海市近地面CO₂浓度与5 km范围内下垫面土地利用类型相关性显著,其中近地面CO₂浓度与林地以及建设用地覆盖率相关性最高,依次为 -0.64 和0.63。进一步分析表明近地面CO₂浓度与土地利用类型的相关性在高度城市化以及城郊区域较高,在中低城市化水平区域较低。

关键词: 近地面CO₂浓度, 2"岛')">城市"CO₂"岛, 城市化水平, 土地利用类型, 移动监测, 上海市

Abstract: The rapid process of urbanization worldwide has a profound effect on global carbon cycle. It's important to have an explicit understanding of the spatial distribution of CO₂ to recognize and control Green-house gases (GHGs) emission, which is helpful to reduce human-induced contribution to global climate change. The study area of this project is set in the metropolitan city of Shanghai with the background of high-intensity of human activities and rapid urbanization. Mobile measuring methodology was used to determine near surface CO₂ concentration along typical transects in spring, 2014 by means of near infrared gas analyzer LI-840A, combined with classification of urbanization levels and types of land use information derived from remote sensing data. Qualitative and quantitative analysis of CO₂ concentration's response mechanisms to urbanization levels and types of land use are represented in this paper. Data suggested a well-shaped carbon dioxide dome with mean concentration of 445.8±40.5 μmol/mol in the city center, 55.1 μmol/mol (13.3%) higher than that in suburban areas. CO₂ concentration exhibited a significant spatial heterogeneity and descended in a sequence with three directions which were northwest, southwest and southeast, respectively. Near surface CO₂ has a negative relationship with distance to the city center with a decline of 1.56 μmol/mol per kilometer. In general, Near surface CO₂ concentrations dropped rapidly within the range of 20 km from the urban core (DUC) while rather slowly out of the same range(approximately 0.7 μmol/mol/km). Urbanization levels within the territory of Shanghai City have significant impacts on concentrations of near surface CO₂. According to the classification of urbanization levels, concentrations with high, middle, low urbanization level and suburban areas are 467.6±44.7, 451.7±41.1, 452.7±34.9 and 426.0±24.8 μmol/mol, respectively. Coverage rate of forested land has the highest correlation with near surface CO₂ concentration following by the construction areas, farmland and grassland with the correlation coefficient of -0.64, 0.63, -0.55 and -0.52(P<0.01), respectively. Correlation coefficients between near surface CO₂ concentrations and types of land use score higher values in high urbanization and suburban areas than in middle and low urbanization areas.

Key words: near surface CO₂ concentration, carbon dioxide dome, urbanization level, types of land use, mobile measuring methodology, Shanghai city

中图分类号:

X831

朱希扬, 潘晨, 刘敏, 杨芳, 贾文晓, 象伟宁. 上海春季近地面大气CO₂浓度空间分布特征及其影响因素分析[J]. 长江流域资源与环境, 2015, 24(09): 1443-1450.

ZHU Xi-yang, PAN Chen, LIU Min, YANG Fang, JIA Wen-xiao, XIANG Wei-ning. Spatial characteristics of near surface CO₂ concentration and analysis on its influencing factors in spring in shanghai city[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(09): 1443-1450.

参考文献

[1] LE QUÉRÉ C, RAUPACH M R, CANADELL J G, et al. Trends in the sources and sinks of carbon dioxide[J]. Nature Geoscience, 2009, 2(12): 831-836.
[2] SETO K C, GVNERALP B, HUTYRA L R. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(40): 16083-16088.
[3] ZHANG X Y, LIU C, NEPAL S, et al. A hybrid approach for scalable sub-tree anonymization over big data using MapReduce on cloud[J]. Journal of Computer and System Sciences, 2014, 80(5): 1008-1020.
[4] 陈广生,田汉勤.土地利用/覆盖变化对陆地生态系统碳循环的影响[J].植物生态学报,2007,31(2):189-204.
[5] IDSO C D, IDSO S B, BALLING JR R C. The urban CO₂ dome of Phoenix, Arizona[J]. Physical Geography, 1998, 19(2): 95-108.
[6] BVNS C, KUTTLER W. Path-integrated measurements of carbon dioxide in the urban canopy layer[J]. Atmospheric Environment, 2012, 46: 237-247.
[7] HENNINGER S, KUTTLER W. Near surface carbon dioxide within the urban area of Essen, Germany[J]. Physics and Chemistry of the Earth, Parts A/B/C, 2010, 35(1/2): 76-84.
[8] SAHAY S, GHOSH C. Monitoring variation in greenhouse gases concentration in Urban Environment of Delhi[J]. Environmental Monitoring and Assessment, 2013, 185(1): 123-142.
[9] IDSO C D, IDSO S B, BALLING JR R C. An intensive two-week study of an urban CO₂ dome in Phoenix, Arizona, USA[J]. Atmospheric Environment, 2001, 35(6): 995-1000.
[10] BALLING JR R C, CERVENY R S, IDSO C D. Does the urban CO₂ dome of Phoenix, Arizona contribute to its heat island?[J]. Geophysical Research Letters, 2001, 28(24): 4599-4601.
[11] GEORGE K, ZISKA L H, BUNCE J A, et al. Elevated atmospheric CO₂ concentration and temperature across an urban-rural transect[J]. Atmospheric Environment, 2007, 41(35): 7654-7665.
[12] GRATANI L, VARONE L. Daily and seasonal variation of CO₂ in the city of Rome in relationship with the traffic volume[J]. Atmospheric Environment, 2005, 39(14): 2619-2624.
[13] 王长科,王跃思,刘广仁.北京城市大气CO₂浓度变化特征及影响因素[J].环境科学,2003,24(4):13-17.
[14] 王跃思,王长科,郭雪清,等.北京大气CO₂浓度日变化、季变化及长期趋势[J].科学通报,2002,47(14):1108-1112.
[15] 刘强,王跃思,王明星,等.北京大气中主要温室气体近10年变化趋势[J].大气科学,2005,29(2):267-271.
[16] 赵德华,欧阳琰,齐家国,等.夏季南京市中心-郊区-城市森林梯度上的近地层大气特征[J].生态学报,2009,29(12):6654-6663.
[17] 李燕丽,穆超,邓君俊,等.厦门秋季近郊近地面CO₂浓度变化特征研究[J].环境科学,2013,34(5):2018-2024.
[18] 李燕丽,邢振雨,穆超,等.移动监测法测量厦门春秋季近地面CO₂的时空分布[J].环境科学,2014,35(5):1671-1679.
[19] 上海市统计局.上海统计年鉴2013[M].北京:中国统计出版社,2013.
[20] 王雷,李丛丛,应清,等.中国1990~2010年城市扩张卫星遥感制图[J].科学通报,2012,57(16):1388-1403.
[21] 刘纪远,张增祥,徐新良,等.21世纪初中国土地利用变化的空间格局与驱动力分析[J].地理学报,2009,64(12):1411-1420.
[22] BERGERON O, STRACHAN I B. CO₂ sources and sinks in urban and suburban areas of a northern mid-latitude city[J]. Atmospheric Environment, 2011, 45(8): 1564-1573.
[23] CRAWFORD B, GRIMMOND C S B, CHRISTEN A. Five years of carbon dioxide fluxes measurements in a highly vegetated suburban area[J]. Atmospheric Environment, 2011, 45(4): 896-905.
[24] BOTTEMA M. Urban roughness modelling in relation to pollutant dispersion[J]. Atmospheric Environment, 1997, 31(18): 3059-3075.
[25] ROTACH M W. On the influence of the urban roughness sublayer on turbulence and dispersion[J]. Atmospheric Environment, 1999, 33(24/25): 4001-4008.
[26] NG E, YUAN C, CHEN L, et al. Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong[J]. Landscape and Urban Planning, 2011, 101(1): 59-74.
[27] COUTTS A M, BERINGER J, TAPPER N J. Characteristics influencing the variability of urban CO₂ fluxes in Melbourne, Australia[J]. Atmospheric Environment, 2007, 41(1): 51-62.
[28] GRIMMOND C S B, KING T S, CROPLEY F D, et al. Local-scale fluxes of carbon dioxide in urban environments: methodological challenges and results from Chicago[J]. Environment Pollution, 2002, 116(Suppl 1): 243-254.
[29] VOGT R, CHRISTEN A, ROTACH M W, et al. Temporal dynamics of CO₂ fluxes and profiles over a Central European city[J]. Theoretical and Applied Climatology, 2006, 84(1/3): 117-126.
[30] 史利江,王圣云,姚晓军,等.1994~2006年上海市土地利用时空变化特征及驱动力分析[J].长江流域资源与环境,2012,21(12):1468-1479.

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上海春季近地面大气CO₂浓度空间分布特征及其影响因素分析

Spatial characteristics of near surface CO₂ concentration and analysis on its influencing factors in spring in shanghai city

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