基于OCO-3卫星观测的上海CO_(2)柱浓度特征分析

Spatial and Temporal Characteristics of Carbon Dioxide in Shanghai Based on OCO-3 Satellite Observations

随着卫星遥感技术的发展,城市内部的二氧化碳柱浓度(XCO_(2))时空特征逐渐能够被识别。本研究基于轨道碳观测卫星(OCO-3)快拍(SAM)模式XCO_(2)观测数据,探讨了上海市2020—2022年XCO_(2)的时空分布特征以及该数据对于火电厂CO_(2)烟羽信号来源识别的能力。结果表明,上海市XCO_(2)呈现春季>冬季>夏季的特征,上海市XCO_(2)年均值为418.3×10^(-6),高于华东地区的年平均值。从XCO_(2)空间分布差异来看,中部和东北部是上海冬季XCO_(2)的高值区域,这主要是由于城市中部人口密集,北部沿江区域大型电厂较为集中,在冬季盛行风西北风的作用下,CO_(2)被传输至东部沿江多个行政区域。此外,结合近地面风场、CO_(2)人为排放清单、电厂点源信息、对流层监测仪器(TROPOMI)卫星观测数据等,证实了OCO-3快拍模式具有探测到重点点源信号的能力。

With the development of satellite remote sensing technology,the spatial and temporal characteristics of CO_(2)column concentration(XCO_(2))within the city can be recognized gradually.Based on the Orbiting Carbon Observing Satellite(OCO-3)Snapshot Area Map(SAM)mode,this study investigated the spatial and temporal distribution characteristics of XCO_(2)in Shanghai from^(2)020 to 2022 and the potential of the data to identify the source of CO_(2)plume signals from power plants.The results showed that the volume fraction of XCO_(2)in Shanghai was characterized by spring>winter>summer,with an annual average of 418.3×10^(-6),which is higher than in developed East China.From the spatial distribution differences of XCO_(2),the central and northeastern regions are the high value areas of winter XCO_(2)in Shanghai,mainly due to the dense population in the central part of the city,and large power plants are concentrated along the river in the northern of the city,so the CO_(2)was transported to several administrative districts in the east by the prevailing northwesterly winds in winter.In addition,combining the near-surface wind field,CO_(2)anthropogenic emission inventory,power plant information,and Tropospheric Monitoring Instrument(TROPOMI)satellite observation data,this study confirmed that the OCO-3 SAM mode is capable of detecting key source signals.