Abstract
Airshed management planning is imperative across the world for better air-quality management. It is a major concern for the research community to develop an effective, fast, and continuous monitoring system for planning and decision making for Airshed Management. SODAR is a crucial instrument for the continuous determination of atmospheric boundary layer (ABL) height for Airshed management planning in a defined area. The Internet of Things can play an important role in the real-time determination of ABL height from multiple locations. In this study, the Internet of Things-based Sodar Network (IoT-SN) has been proposed to connect six Sodar sites of Northern India. The proposed IoT-SN attributes a high gain and narrow bandpass response analog signal conditioning stage. The experimental performance shows the advantage of 10 dB gain in comparative analysis. The data validation of the ABL structure and ABL height has proved the reliable interconnectivity of the proposed IoT-SN. The experimental results illustrate the data transmission accuracy of 99.74% for the ABL structure; data estimation accuracy of 95.57% for ABL height with a variation of less than ±13% in the error value has been obtained from IoT-SN. Therefore, the proposed IoT-SN is important for improved Airshed management planning.
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