环境科学
有效载荷(计算)
圈地
下洗
分光计
二氧化碳
温室气体
摩尔分数
气流
转子(电动)
气象学
大气科学
遥感
化学
光学
计算机科学
物理
工程类
地质学
机械工程
计算机网络
电信
海洋学
有机化学
物理化学
涡流
网络数据包
作者
Tonghui Zhao,Dongxu Yang,Yi Liu,Zucong Cai,Yuexiang Lu,Ke Che,Xiaoyu Ren,Yanfeng Bi,Yan You,Jing Wang,Sihong Zhu
出处
期刊:Atmosphere
[MDPI AG]
日期:2022-05-24
卷期号:13 (6): 855-855
被引量:1
标识
DOI:10.3390/atmos13060855
摘要
Records and projections of increasing global average temperature call for improvements of global stocktake inputs, which are vital to achieving targets of intergovernmental agreements on climate change. Unmanned Aerial Vehicle (UAV)-based atmospheric observation of greenhouse gas (GHG) concentrations is an upcoming addition to the top-down measurement methods due to its advantageous spatial-temporal resolutions, greater coverage area and lower costs. Hence, we developed and tested a lightweight UAV payload enclosure integrating a non-dispersive diffusion infrared (NDIR) spectrometer and two electrochemical sensors for measurements of carbon dioxide (CO2), carbon monoxide (CO) and nitrogen dioxide (NO2). To achieve higher response times and maintain measurement qualities, we designed a custom air inlet on the rotor-facing side of the enclosure to reduce measurement fluctuations caused by rotor downwash airflow. To validate the payload design, we conducted a controlled test for comparing chambered and chamber-less NDIR spectrometer measurements. From the test we observed a reduction of 0.48 hPa in terms of standard deviation of pressure measurements and minimised downwash-flow-induced anomalous biases (+0.49 ppm and +0.08 hpa for chambered compared to −1.33 ppm and −1.05 hpa for chamber-less). We also conducted an outdoor in-situ measurement test with multiple flights reaching 500 m above ground level (ABGL). The test yielded high resolution results representing vertical distributions of mole fraction concentrations of three types of gases via two types of flight trajectory planning methods. Therefore, we provide an alternative UAV payload integration method for NDIR spectrometer CO2 measurements that complement existing airborne GHG observation methodologies. Additionally, we also introduced an aerodynamic approach in reducing measurement noises and biases for a low response time sensor configuration.
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