Detection and Analysis of Methane Emissions From a Landfill Using Unmanned Aerial Drone Systems and Semiconductor Sensors

Daugėla, Ignas; Visockienė, Jūratė Sužiedelytė; Kumpienė, Jūratė

doi:10.31025/2611-4135/2020.13942

Cited by 23 publications

(17 citation statements)

References 39 publications

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“…The same-day TIR images were generated from data acquired using the DJI Matrice 200 UAV in 2018. The images were acquired in areas found to have unusually low NDVI values to determine whether their temperatures differed from those of their surroundings (Figure 10) [22]. The first point was south of the central part near the gas collection well, the second in the centre of the north-eastern slope, the third in the northernmost part of the hump, the fourth in the northern part of the hub, and the fifth in the south-eastern part of the hump (Figure 10).…”

Section: Sensor System Calibration Resultsmentioning

confidence: 99%

Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

et al. 2021

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Global warming, as the result of the negative impact of humans on climate change, has been observed based on various data sources. Various measures have aimed to reduce anthropogenic factors, and also to lower carbon dioxide (CO2) and methane CH4 emissions. One of the main contributors to anthropogenic factors is organic waste in municipal solid waste landfills. There are many landfills where cost-effective rapid technologies for the identification and quantification of CH4 emission sites are not applied. There is still a need for the development of accessible and cost-effective methods that react in a real-time manner for the rapid detection and monitoring of methane emissions. This paper’s main goal is to create a prototype sensor suitable for operational measurement of the gas value, suitable for integration into geodetic equipment or an unmanned aerial vehicle system. A sensor system (device) was developed, which consisted of three semiconductor sensors—MQ2, MQ4, and MQ135—which aimed to capture flammable gases (CO2, CH4, O2 purity) and to evaluate the averages of the measured values from the components mounted on the board—the semiconductor sensors. The sensors were calibrated in a laboratory and tested in a closed landfill. The measurement data consisted of the read resistances (analog signal) from the MQ2, MQ4, and MQ135 sensors, and the relative humidity and the temperature (digital signal) of the DHT2 sensor with a timestamp calculated by the RTC module. The use of the method was confirmed because the sensors reacted as expected when placed in the vicinity of the gas collection well. Furthermore, the sensor will be tested and improved for field work in landfill sites.

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Section: Sensor System Calibration Resultsmentioning

confidence: 99%

Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

et al. 2021

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“…In recent years, many studies focused on the use of drones and mobile robots for gas leak detection applications. Daugela et al (2020) used a microcontroller-based gas sensor array together with an imaging system installed on a drone for the sole purpose of localizing CH 4 emission hotspots [18]. Some studies employed measuring instruments for gas leak detection installed on an aerial platform as a candidate solution for gas leak detection.…”

Section: Literature Reviewmentioning

confidence: 99%

A Drone-Enabled Approach for Gas Leak Detection Using Optical Flow Analysis

Nooralishahi

López²,

Maldague

2021

Applied Sciences

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The recent development of gas imaging technologies has raised a growing interest for various applications. Gas imaging can significantly enhance functional safety by early detection of hazardous gas leaks. Moreover, optical gas imaging technologies can be used to identify possible gas leakages and to investigate the amount of gas emission in industrial sites, which is essential, primarily based on current efforts to decrease greenhouse gas emissions all around the world. Therefore, exploring the solutions for automating the inspection process can persuade industries for more regular tests and monitoring. One of the main challenges in gas imaging is the proximity condition required for data to be more reliable for analysis. Therefore, the use of unmanned aerial vehicles can be very advantageous as they can provide significant access due to their maneuver capabilities. Despite the advantages of using drones, their movements and sudden motions during hovering can diminish data usability. In this paper, we propose a method for gas leak detection and visually-enhancement of gas emanation involving stabilization and gas leak detection steps. In addition, a comparative analysis of candidate stabilization techniques is conducted to find the most suitable technique for the drone-based application. Moreover, the system is evaluated using three experiments respectively on an isolated environment, a real scenario, and a drone-based inspection.

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“…В качестве платформы использовали квадрокоптер DJI Matrice 200 v2 с установленным приемником GNSS L1/L2 [14]. Дрон с пыле-и влагозащитой способен осу ществлять полеты при скорости ветра до 20 м/с, что актуально при работе в поле на открытой местности [15][16].…”

Section: китайско-российский симпозиумunclassified

Improving the Accuracy of Aerial Photography Using Ground Control Points

2021

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The authors showed that it is possible to quickly collect up-to-date information on the agricultural land condition using an unmanned aerial vehicle. It was noted that the use of ground control points increases the accuracy of project measurements, helps to compare the project post-processing results with the real measurements. (Research purpose) To compare the results of standard and high-precision post-processing of aerial survey data using ground control points. (Materials and methods) Aerial photography was carried out on a 1.1- hectare breeding field. The authors used DJI Matrice 200 v2 unmanned aerial vehicle with a GNSS L1/L2 receiver and a modified DJI X4S camera, five control points sized 50 × 50 centimeters and an EMLID Reach RS2 multi-frequency GNSS receiver. The results of scientific research into the use of ground control points during aerial photography were studied. (Results and discussion) It was found out that the error of georeferencing images obtained by an unmanned aerial vehicle without control points is significantly higher during the standard data processing compared to the high-precision one. The project error when using five control points is 3.9 times higher during the standard data processing. (Conclusions) It was shown that using ground control points it is possible to improve the project measurement accuracy, as well as compare the project post-processing results with the measurements on the ground. It was detected that the high-precision monitoring enables the use of fewer ground control points. It was found out that in order to obtain data with the accuracy of 2-4 centimeters in plan and height, at least 3 ground control points need to be used during the high-precision post-processing.

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Detection and Analysis of Methane Emissions From a Landfill Using Unmanned Aerial Drone Systems and Semiconductor Sensors

Cited by 23 publications

References 39 publications

Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

A Drone-Enabled Approach for Gas Leak Detection Using Optical Flow Analysis

Improving the Accuracy of Aerial Photography Using Ground Control Points

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