Abstract

Much of the research focuses on quantification of greenhouse gas (GHG) emissions, which enables many sensors’ deployment and related applications to achieve site-specific GHG emissions management. Prior work on quantification of GHG emissions relies on costly and inconvenient to carry on site sensors to measure, which makes labor intensive and difficult to scale up. In this paper, we present a cost-effective, parts per million (PPM) sensing level, light-weight GHG proximity sensing system using a self-made gas sensing film (chemiresistive Strip) and radio array frequency techniques. Our system utilizes the implicit physical knowledge of capturing radar signal variations in amplitude through the adsorption of CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> by ZIF-67, in which the gas concentrations can be identified by these variations, and a smoothing filter is applied to filter out the disturbance in order to enhance the sensing resolution. We evaluated our sensing system and sensing algorithm on the data obtained from lab experiments. Results show that our sensing system achieves reliable sensing resolution from 410 and up to around 1500 PPM level in 50 seconds with fixed gas sensing film. In the future, we would combine other mobile sensing platforms to develop related applications that can be used to quantification of GHG emissions.

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