北京城郊地区二氧化碳通量特征研究

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 北京城郊地区二氧化碳通量特征 DOI: 10.5846/stxb201309012181 作者: 作者单位: 中国气象局北京城市气象研究所,中国气象局北京城市气象研究所,中国气象局北京城市气象研究所,中国气象局北京城市气象研究所 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金(41175015); 北京市自然科学基金(8122022); 中央级公益性科研院所基本科研费专项基金(IUMKY2014 (LH)02) Carbon dioxide fluxes in a suburban area of Beijing Author: Affiliation: Institute of Urban Meteorology, CMA,Institute of Urban Meteorology, CMA,Institute of Urban Meteorology, CMA,Institute of Urban Meteorology, CMA Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:利用位于北京市顺义气象局45 m气象塔上36 m高度的湍流观测资料,对该区域2008年11月1日至2009年10月31日共365d的二氧化碳通量(CO2)的时间变化和各方位的分布特征进行了分析研究,并计算了CO2年排放量。结果表明,CO2受交通因素和居民日常生活排放的影响较小,冬季耗能取暖会显著增加CO2的排放量;受供暖排放和植物生长季节光合作用的影响,冬季的CO2通量值在全天绝大多数时刻均高于其他季节,其日平均值为15.6 μmol m-2 s-1,显著高于春、夏、秋季的日平均值5.6、5.7和8.8 μmol m-2 s-1(t-test, P<0.001)。各方向CO2通量值的大小与其源区内土地利用/覆盖方式以及建筑物的使用功能和使用性质密切相关,住宅楼、饭店、工厂、旅馆等人工建筑面积占比例越大,CO2排放量越大;而植被覆盖比例较高的方向CO2值较小。观测点周边区域是CO2的排放源,且年平均排放量达到13.6 kg m-2 a-1,但低于同一时期北京市内高密度住宅区域的CO2年排放量。 Abstract:Over the last two decades, the eddy covariance (EC) technique has been applied to measure the flux of CO2 in various ecosystems. Among terrestrial ecosystems, urban areas play an important role because most of the anthropogenic emissions of CO2 originate in these areas. A better understanding of CO2 exchange between urban ecosystems and the atmosphere is important for quantifying urban contributions to the global carbon cycle as well as for evaluating the urban climate impact on and response to global climate changes. In the past two decades, studies of CO2 levels in urban environment mainly focused on the concentration in the ambient and emission inventory based on energy consumption data in China. To date, CO2 monitoring in Chinese cities using EC techniques is rare because it is difficult to find a representative urban surface and install EC instruments on the available tower. We investigated CO2 fluxes over a suburban, low-density residential area (Shunyi) in the north east Beijing. Suburban areas are growing rapidly in China and are potentially an important land-use category for anthropogenic CO2 emissions. We collected the EC measurements from the meteorological tower of Shunyi Meteorology Center from November 1, 2008 to October 31, 2009. The half-hourly CO2 fluxes were calculated by computing the mean covariance of CO2 fluctuations with the fluctuating vertical velocity observed by the EC system. Turbulence Knight2 (TK2) software package was employed for quality assurance and quality control of the EC data. TK2 provides a quality flag for each half-hourly flux data, and the highest quality data when the quality flag was less than 3 were used to analyze the daily variation and spatial distribution characteristics of CO2 flux during different seasons, the summer daytime CO2 flux as a function of photosynthetically active radiation (PAR), and the nighttime CO2 flux as a function of soil temperature at 10 cm depth during the measurement period. The data gaps were filled using the back propagation neural network to calculate the annual total CO2 emissions. Our results indicate that CO2 emissions were less affected by road vehicles and household activities at the Shunyi measurement area. Fuel consumption for heating during winter significantly increased CO2 emissions; and because of the carbon uptake by plants for photosynthesis during the growing season, the average daily flux measured in winter was significantly higher than that in other seasons. Patterns of spatial variation of CO2 flux showed that areas with a high proportion of man-made surfaces had higher CO2 values, while vegetation covered areas had lower CO2 values. The consistently positive CO2 flux throughout the year indicates that the analyzed suburban surface is a net source of CO2 to the atmosphere. The total annual CO2 emission from our study area was 13.6 kg m-2 a-1; this value is higher than the emissions from suburban residential areas in foreign cities. We infer that this high value is because of the low vegetation coverage and higher number of commercial and industrial buildings in our study area. Our data will be added to the global database of CO2 fluxes and it can be used for future planning of urban development with regard to reducing the CO2 emission. 参考文献 相似文献 引证文献