Abstract
AbstractIn the environmental monitoring system, the atmospheric boundary layer (ABL) plays an important role. It is a major source of concern for the scientific community, and it necessitates the implementation of an effective and quick monitoring system to make better decisions. SODAR is a critical tool for continuous determining the environmental parameters in real time. The ABL height is a critical parameter for determining the air quality in a given area. The use of the well-connected SODAR network to determine ABL height from remote locations in real time is beneficial for analyzing and planning the environmental monitoring system. The Internet of Things (IoT) is a ground-breaking technology, which allows various environmental monitoring stations to communicate with one another. The interconnection of several IoT-enabled sensor nodes is known as an IoT network. Multiple sensors, a data acquisition system, and a data communication system make up the sensor node. It accomplishes the goal of monitoring local environmental parameters and sharing information with an IoT network. A sensor node is composed of a SODAR, a wind sensor, a temperature, and a relative humidity sensor. The indigenous SODAR design, integrated into common data acquisition software, with other meteorological sensors was used. For the reliable performance of the proposed system, the calibration of meteorological sensors was important. Before installation, all meteorological sensors used were calibrated. In addition, the data from the sensor node-enabled by IoT were also validated with comparisons to the local data acquisition system.KeywordsInternet of ThingsMeteorological sensorsMixing heightPlanetary boundary layer featuresMeteorological sensorsSensor node
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