Abstract：Urbanization has concentrated over 50% of the global population and more than 70% of the carbon emissions. Uncertainties in carbon emissions are very large or unknown at the spatial scale of individual cities, and 50% to 100% errors are not uncommon. The temporal and spatial distribution of greenhouse gas concentration is introduced, and the basic idea of carbon emission inversion model is described. Current NIST funded studies in several cities using top-down approach to estimate carbon emissions. Based on measurement of greenhouse gas concentration and accurate dispersion models that can operate at the city scale, carbon emissions in urban area can be estimated by inversion method. NIST researches are summarized and future works in this field by NIM of China are in plan.
胡鹤鸣,王池,张金涛. 城市区域碳排放测量反演研究国际进展[J]. 计量学报, 2017, 38(1): 7-12.
HU He-ming,WANG Chi,ZHANG Jin-tao. International Research Overview of Inversion Approach of Carbon Emission Measurement in Urban Area. Acta Metrologica Sinica, 2017, 38(1): 7-12.
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