利用低成本无人机进行大气CO2浓度测量及不适指数计算

IF 1.5 0 ENGINEERING, MULTIDISCIPLINARY
Piyush Kokate, Shashikant Sadistap, Anirban Middey
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引用次数: 0

摘要

无人机(UAV)平台正在成为各种环境工程研究的重要工具。四轴无人机在传感器接口和稳定的数据采集方面具有巨大的潜力。这些无人机可以执行火山喷发监测、烟囱排放监测、城市空气质量监测、三维空间污染水平识别等关键活动。二氧化碳(CO2)和不适指数(DI)是空气质量和气候舒适度的重要指标。因此,极其精确地监测它们是至关重要的。这项研究展示了在不同高度使用低成本无人机进行二氧化碳分析的新应用。在夏季和冬季,在印度那格浦尔市的60米AGL(地面以上)进行了无人机辅助的垂直二氧化碳剖面分析。这项研究检索了一些关于DI的令人兴奋的数据。在20 ~ 70 m AGL范围内,CO2浓度低于地表水平。推导出的DI在40 ~ 50 m高度范围内最大。在30 ~ 40 m范围内观测到逆温。两个季节CO2与温度呈正相关。轻型商用无人机能够捆绑传感器模块,以更少的成本和努力获得准确的结果。这种新型系绳传感器技术可用于天气预报、垃圾填埋场表面监测、火山爆发监测以及其他无人机飞行限制较少的可能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Atmospheric CO2 Level Measurement and Discomfort Index Calculation with the use of Low-Cost Drones
Unmanned Aerial Vehicle (UAV) platforms are emerging as an essential tool for various studies in environmental engineering. The quadcopters drones have immense potential for sensor interfacing and stable data acquisition. These UAVs can perform critical activities like volcanic eruption monitoring, stack emission monitoring, urban air quality monitoring, identification of pollution levels in 3D space, etc. Carbon dioxide (CO2) and the Discomfort Index (DI) are essential indicators of air quality and climate comfort. Hence, it is critical to monitor them with extreme accuracy. This study demonstrates a novel application of CO2 profiling using low-cost drones at varied altitudes. The drone-aided vertical CO2 profiling was carried out at 60 m AGL (Above Ground Level) during summer and winter, in Nagpur city of India. This study retrieved some exciting data on the DI. It was found that CO2 concentration in the range of 20-70 m AGL was lower than the surface level. The derived DI was maximum at the height range of 40-50 m. Inversion was observed in the range of 30-40 m. A positive correlation between CO2 and temperature was observed in both seasons. The lightweight commercial drones are capable of tethering sensor modules to get accurate results in less cost and effort. This type of novel tethered sensor technique could be applicable in weather forecasting, landfill surface monitoring, volcanic eruption monitoring, and other probable applications with few drone flight limits.
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来源期刊
Engineering, Technology & Applied Science Research
Engineering, Technology & Applied Science Research ENGINEERING, MULTIDISCIPLINARY-
CiteScore
3.00
自引率
46.70%
发文量
222
审稿时长
11 weeks
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