Measuring Regional Atmospheric CO2 Concentrations in the Lower Troposphere with a Non-Dispersive Infrared Analyzer Mounted on a UAV, Ogata Village, Akita, Japan
Measuring Regional Atmospheric CO2 Concentrations in the Lower Troposphere with a Non-Dispersive Infrared Analyzer Mounted on a UAV, Ogata Village, Akita, Japan
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DOI：
10.3390/atmos10090487
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发表时间：
2019-09-01
期刊：
影响因子：
2.9
通讯作者：
Morino, Isamu
中科院分区：
文献类型：
--
作者：
Chiba, Takashi;Haga, Yumi;Morino, Isamu
我们开发了一个简单的测量系统原型，它使用无人驾驶飞行器（UAV）和非分散红外（NDIR）分析仪来检测区域二氧化碳（CO₂）浓度并获取垂直的CO₂分布。在此，我们报告了使用该无人机系统在日本秋田县小田町上空对流层下层（北纬约40度，东经约140度，海拔约 -1米）获得的CO₂测量结果。实际飞行观测在2018年2月至2019年2月期间的白天每月至少进行一次，高度分别为地面上方500米、400米、300米、200米、100米和10米。来自NDIR的原始CO₂值通过两种不同的CO₂标准气体和高纯氮气（作为CO₂零气体；0 ppm）进行校准。在观测期间，2019年2月测量到的CO₂浓度最高，2018年8月最低。在所有季节中，随着飞行高度的增加，CO₂浓度都升高。观测到的CO₂变化的月度模式与北半球通常观测到的模式以及日本气象厅大气传输模型模拟的地表CO₂变化相似。这些变化很可能反映了研究区域周围的植被分布情况。
We have developed a simple measuring system prototype that uses an unmanned aerial vehicle (UAV) and a non-dispersive infrared (NDIR) analyzer to detect regional carbon dioxide (CO2) concentrations and obtain vertical CO2 distributions. Here, we report CO2 measurement results for the lower troposphere above Ogata Village, Akita Prefecture, Japan (about 40 degrees N, 140 degrees E, approximately -1 m amsl), obtained with this UAV system. The actual flight observations were conducted at 500, 400, 300, 200, 100, and 10 m above the ground, at least once a month during the daytime from February 2018 to February 2019. The raw CO2 values from the NDIR were calibrated by two different CO2 standard gases and high-purity nitrogen (N-2) gas (as a CO2 zero gas; 0 ppm). During the observation period, the maximum CO2 concentration was measured in February 2019 and the minimum in August 2018. In all seasons, CO2 concentrations became higher as the flight altitude was increased. The monthly pattern of observed CO2 changes is similar to that generally observed in the Northern Hemisphere as well as to surface CO2 changes simulated by an atmospheric transport model of the Japan Meteorological Agency. It is highly probable that these changes reflect the vegetation distribution around the study area.