Neural network to quantify the amount of greenhouse gases produced by flue gases affecting climatic conditions in Iran's southern areas

Rouzkhosh, Maedeh; Jaafarzadeh, Neematollah; Varshosaz, Katayon; Orak, Neda; Dashti, Soolmaz

doi:10.1016/j.petrol.2022.111224

Cited by 4 publications

(2 citation statements)

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“…It also delivers enhanced measurement stability with reduced noise in output signals. 3. Wide Measurement Range.…”

Section: Appearancementioning

confidence: 99%

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Technical Solution for Monitoring Climatically Active Gases Using the Turbulent Pulsation Method

Kulakova,

Muravyova

2023

Sensors

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This article introduces a technical solution for investigating the movement of gases in the atmosphere through the turbulent pulsation method. A comprehensive control system was developed to measure and record the concentrations of carbon dioxide and methane, temperature, humidity, atmospheric air pressure, wind direction, and speed in the vertical plane. The selection and validation of sensor types and brands for each parameter, along with the system for data collection, registration, and device monitoring, were meticulously executed. The AHT21 + ENS160 sensor was chosen for temperature measurement, the BME680 was identified as the optimal sensor for humidity and atmospheric pressure control, Eu-M-CH4-OD was designated for methane gas analysis, and CM1107N for carbon dioxide measurements. Wind direction and speed are best measured with the SM5386V anemometer. The control system utilizes the Arduino controller, and software was developed for the multicomponent gas analyzer.

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“…It also delivers enhanced measurement stability with reduced noise in output signals. 3. Wide Measurement Range.…”

Section: Appearancementioning

confidence: 99%

“…Currently, the method of turbulent pulsations is extensively employed in studying gas movement within the atmosphere [1][2][3]. The method centers on quantifying the number of molecules that experience vertical movement over a specific timeframe.…”

Section: Introductionmentioning

confidence: 99%