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沈阳城市CO_2通量的足迹分析 被引量:6

Footprint characteristics of CO_2 flux over the urban district of Shenyang
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摘要 基于涡动法测量的沈阳市CO2通量资料,利用KM模型(Kormann-Meixner method)分析了沈阳市2008年供暖期前后CO2通量足迹及不同区域的贡献.同时,探讨了影响CO2通量的因子,并重点分析了交通和供暖对CO2通量的影响.结果表明,供暖对城市CO2体积分数有显著影响,较非供暖时期平均增加了102.54×10-6,CO2通量平均增加了10.74μmol.m-.2s-1.风向与源区也会显著影响CO2体积分数.CO2通量贡献率受风向、供暖、下垫面类型、交通和人口密集度等因素的影响.供暖期间住宅区的CO2通量贡献率夜晚大于白天,交通区的CO2通量贡献率白天大于夜晚.供暖期间交通区在白天和夜晚的单位面积CO2通量贡献率分别为住宅区的6.0和4.2倍. Based on the CO2 flux data measured by eddy covariance(EC)and the KM model(Kormann-Meixner method),we analyzed the footprint of the urban CO2 flux and the contributions from different regions before and after the 2008 heating period in Shenyang.The impact factors of carbon flux are discussed,including traffic and heating effects.The results indicated that CO2 concentration(volume fraction)was affected by the urban heating,increasing 102.54×10^-6 on average,and the CO2 flux increased by 10.74 μmol·m-2·s-1.CO2 concentration was significantly affected by wind direction and the source region.The flux contribution rate was affected obviously by wind direction,hot water heating and the property of land surfaces,city transportation and population density.The flux contribution rate was higher at night than during the daytime due to the heating in the residential district,and it was higher during the daytime than at night in the transportation district.The flux contribution rate from the city transportation area was 6.0 times in the daytime and 4.2 times at night from the residential areas in the heating period.
出处 《环境科学学报》 CAS CSCD 北大核心 2010年第8期1682-1687,共6页 Acta Scientiae Circumstantiae
基金 国家自然科学基金项目(No.40625015) 国家重点基础研究发展计划(973)项目(No.2004CB418507)~~
关键词 城市CO2通量 足迹 KM模型 通量贡献率 urban CO2 flux footprint KM model flux contribution rate
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  • 1楚良海,刘文兆,朱元骏,李双江.黄土高原沟壑区通量数据空间代表性研究[J].地球科学进展,2009,24(2):211-218. 被引量:16
  • 2宫丽娟,刘绍民,双喜,蔡旭辉,徐自为.涡动相关仪和大孔径闪烁仪观测通量的空间代表性[J].高原气象,2009,28(2):246-257. 被引量:36
  • 3Grimmond C S B, King T S, Cropley F D, et al. 2002. Local-scale fluxes of carbon dioxide in urban, environments: methodological challenges and results from Chicago[ J]. Environ Poll, 116:243-254.
  • 4Horst T W, Weil J C. 1992. Footprint estimation for scalar flux measurements in the atmospheric surface layer [ J]. Boundary-Layer Meteor,59:276-296.
  • 5Kljun N, Calanca P, Rotach M W, et al. 2004. A simple parameterisation for flux footprint predictions [ J ] , Boundary-Layer Meteorology, 112 : 503-523.
  • 6Kormann R, Meixner F X. 2001. An analytical footprint model for nonneutral stratification [ J ]. Boundary-Layer Meteor,99:207-224.
  • 7Leclere M Y, Thurtell G W. 1990. Footprint prediction of scalar fluxes using a Markovian analysis [ J]. Boundary-Layer Meteor, 52: 247-258.
  • 8Leclerc M Y, Shen S H, Lamb B. 1997. Observations and large-eddy simulation modeling of footprints in the lower convective boundary layer [ J]. J Geophys Res,102 : 9323-9334.
  • 9Loretta G,Laura V. 2005. Daily and seasonal variation of CO2 in the city of Rome in relationship with the traffic volume [ J]. Atmospheric Environment,39:2619-2624.
  • 10Neftel A, Spirig C, Ammann C. 2008. Application and test of a simple tool for operational footprint evaluations [ J ]. Environmental Pollution, 152 : 644-652.

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