Drone-Aided Particulate Monitoring System for Industrial Complex to Analyze the Dust Suppressing Capacity

IF 1 Q4 ENGINEERING, CIVIL
P. Kokate, A. Middey, S. Sadistap
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Abstract

Abstract The rising levels of air pollution in the industrial environment necessitate its monitoring near the sources. The green wall around the industries is a novel and popular to mitigate the impact of Particulate Matter (PM). Such industrial mitigation cannot be monitored through a limited quantity AQ monitoring station at ground level. This paper demonstrates the application of drone aided particulate matter monitoring system to measure the above-ground level PM levels. The drone-aided AQ monitoring system was employed near the thermal power plant to calculate the attenuation factor potential due to the plantation of a green bamboo belt. The wind rose was plotted to understand the wind pattern and dispersion direction of the PM. The dust suppression due to the green wall of the bamboo is calculated using a drone-enabled PM sensor module. The PM (Particulate Matter) data at the ground level was 39 % low compared to the upper height. The PM concentration was significantly high at the height of 30 m Above Ground Level (AGL). The bamboo plant plays a crucial role in dust suppression. The overall results pointed out that the calibrated, lightweight portable drone-aided sensor monitoring system can be reliable for monitoring source-specific industries.
无人机辅助工业综合体颗粒监测系统分析抑尘能力
摘要工业环境中空气污染水平的不断上升,需要在污染源附近进行监测。围绕工业的绿色墙是一种新颖而流行的减轻颗粒物(PM)影响的方法。这种工业缓解无法通过地面上数量有限的空气质量监测站进行监测。本文介绍了无人机辅助颗粒物监测系统在地面颗粒物水平测量中的应用。在火电厂附近采用无人机辅助空气质量监测系统,计算绿化竹带造成的衰减因子位势。绘制风升图,了解PM的风型和扩散方向。由于竹子的绿色墙壁的粉尘抑制是使用无人机启用PM传感器模块计算的。与高空相比,地面的PM(颗粒物)数据低39%。PM浓度在距地面30 m处显著高。竹植物在抑尘中起着至关重要的作用。总体结果表明,经过校准的轻型便携式无人机辅助传感器监测系统可以可靠地监测特定污染源的行业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
9.10%
发文量
18
审稿时长
12 weeks
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