Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network(LUCCN):First Integrated Campaign in China

作     者：Dongxu YANG Tonghui ZHAO Lu YAO Dong GUO Meng FAN Xiaoyu REN Mingge LI Kai WU Jing WANG Zhaonan CAI Sisi WANG Jiaxu GUO Liangfu CHEN Yi LIU Dongxu YANG;Tonghui ZHAO;Lu YAO;Dong GUO;Meng FAN;Xiaoyu REN;Mingge LI;Kai WU;Jing WANG;Zhaonan CAI;Sisi WANG;Jiaxu GUO;Liangfu CHEN;Yi LIU

作者机构：Carbon Neutrality Research Center(CNRC)Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Middle Atmospheric Physics and Global Environment Observation(LAGEO)Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Remote Sensing ScienceAerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China National Remote Sensing Center of ChinaBeijing 100036China The Administrative Center for China’s Agenda 21Beijing 100862China 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2024年第41卷第1期

页      面：1-7页

核心收录：

学科分类：08[工学] 0706[理学-大气科学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Key Research and Development Plan(Grant No.2021YFB3901000) the Chinese Academy of Sciences Project for Young Scientists in Basic Research(YSBR-037) the International Partnership Program of the Chinese Academy of Sciences(060GJHZ2022070MI) the MOST-ESA Dragon-5 Programme for Monitoring Greenhouse Gases from Space(ID.59355) the Finland–China Mobility Cooperation Project funded by the Academy of Finland(No.348596) 

主　　题：CO_(2) measurement networks power station carbon emission cross-sectional flux method 

摘      要：In this study,we introduce our newly developed measurement-fed-perception self-adaption Low-cost UAV Coordinated Carbon Observation Network(LUCCN)*** LUCCN primarily consists of two categories of instruments,including ground-based and UAV-based in-situ *** use the GMP343,a low-cost non-dispersive infrared sensor,in both ground-based and UAV-based *** first integrated measurement campaign took place in Shenzhen,China,4 May *** the campaign,we found that LUCCN’s UAV component presented significant data-collecting advantages over its ground-based counterpart owing to the relatively high altitudes of the point emission sources,which was especially obvious at a gas power plant in *** emission flux was calculated by a crosssectional flux(CSF)method,the results of which differed from the Open-Data Inventory for Anthropogenic Carbon dioxide(ODIAC).The CSF result was slightly larger than others because of the low sampling rate of the whole emission cross *** LUCCN system will be applied in future carbon monitoring campaigns to increase the spatiotemporal coverage of carbon emission information,especially in scenarios involving the detection of smaller-scale,rapidly varying sources and sinks.