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On the controlling factors for the variability of carbon dioxide flux in a heterogeneous urban environment

机译:异质城市环境中二氧化碳通量变化的控制因素

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Local heterogeneity of CO2 sources and sinks is a key factor for the variability of carbon dioxide flux (F-C) in urban areas. Information on the urban structure around a site, especially the related emission characteristics, is thus of great importance to the understanding of observed F-C. Strong spatially confined sources like major roads inhibit a direct correlation of F-C to area-averaged features of the urban structure and may lead to a heavily biased signal. Four years of F-C measured at Basel Aeschenplatz, Switzerland, are analysed with respect to the controlling factors and the cause for variability on different time scales. The source area is segregated into equal sectors to address heterogeneous emission patterns. Residential areas to the east are bordered by business areas and major roads to the west, which leads to a fundamental dependence of F-C on wind direction. Besides, its diurnal course is explainable with traffic emissions while its annual course follows heating-related combustion emissions. Vegetation fraction is rather considered to be an indicator for urban land use types (residential/business) and the attributable emission characteristics than to be a measure for biological sink effects. Inter-annual variability occurs as a result of anomalies in wind direction patterns or air temperature. Average yearly F-C is 16.4 mu mol m(-2)s(-1) with slight variations (0.55 mu mol m(-2)s(-1)) over the 4 years. It likely originates from an average of 70% traffic and 30% heating-related emissions with significant sectoral differences. As a continuous measure for the emissions of each sector, the expected CO2 flux (eF(C)) per sector is introduced, leading to an enhanced comparability. Relating sectoral eF(C) instead of F-C to urban surface fractions of buildings and vegetation results in a better agreement (also with data from other studies).
机译:CO2源和汇的局部异质性是影响城市地区二氧化碳通量(F-C)变化的关键因素。因此,有关场地周围城市结构的信息,尤其是相关的排放特征,对于理解观测到的碳纤维非常重要。诸如主要道路之类的空间受限的强信号源会阻止F-C与城市结构的区域平均特征直接相关,并可能导致信号严重偏向。分析了在瑞士巴塞尔埃森普拉茨(Basel Aeschenplatz)进行的四年F-C分析,分析了不同时间范围内的控制因素和变化原因。源区域被分成相等的扇区,以解决异构发射模式。东部的居民区与商业区和主要的西部道路接壤,这导致F-C从根本上依赖风向。此外,其每日路线可以用交通排放来解释,而其年度路线则遵循与供热相关的燃烧排放。植被比例被认为是城市土地利用类型(居民/企业)和可归因的排放特征的指标,而不是衡量生物汇效应的指标。年际变化是由于风向图样或气温异常引起的。在4年中,年平均F-C为16.4摩尔mol m(-2)s(-1),但有微小变化(0.55摩尔mol m(-2)s(-1))。它可能源自平均70%的流量和30%的与取暖相关的排放,各部门之间存在重大差异。作为对每个部门排放的连续测量,引入了每个部门的预期CO2通量(eF(C)),从而提高了可比性。将部门eF(C)而不是F-C与建筑物和植被的城市表面部分相关,可以更好地达成共识(也与其他研究的数据一致)。

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