Landfill Emissions of Methane Inferred from Unmanned Aerial Vehicle and Mobile Ground Measurements

Olaguer, Eduardo P.; Jeltema, Shelley; Gauthier, Thomas; Jermalowicz, Dustin; Ostaszewski, Arthur; Batterman, Stuart; Xia, Tian; Raneses, Julia; Kovalchick, Michael; Miller, Scott J.; Acevedo, Jorge; Lamb, Jonathan R.; Benya, Jeff; Wendling, April; Zhu, Joyce

doi:10.3390/atmos13060983

Cited by 11 publications

(12 citation statements)

References 23 publications

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“…The results of the waste composition analysis showed that plastic had the dominant value of 43.56%, followed by paper waste of 22.99%, wood and straw waste 14.76%, garden waste 11.23%, textiles 4.61%, disposable nappies 2.85% and food waste 0.73%. This result is similar to several studies which show that plastic waste is the most dominant waste among inorganic waste [10] [24] [25].…”

Section: Resultssupporting

confidence: 92%

“…The second most important greenhouse gas after carbon dioxide is methane, and municipal solid waste dumps are substantial contributors to its presence in the atmosphere [9]. Significant methane emissions from landfills contribute to global climate change and the development of ozone caused by the augmentation of radical chains that occur in atmospheric reactions of volatile organic compounds and nitrogen oxides [10]. This results from methane emissions, which make the chain lengths of radicals in the environment longer [11].…”

Section: Methane Landfill Emissionmentioning

confidence: 99%

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Environmental Impact Analysis of Methane Gas from Landfill using LCA in Klotok landfill, Kediri, East Java

Restu Hikmah Ayu Murti,

Muhammad Abdus Salam Jawwad,

Syadzadhiya Qothrunada Zakiyayasin Nisa

et al. 2023

Technium

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The effective management of municipal solid waste is a persistent challenge within emerging nations. The observed phenomenon can be attributed to a multitude of reasons, encompassing swift economic growth, urban population development, garbage output, the substantial costs associated with waste treatment, and the design and functionality of containment systems. Methane, being the second most significant greenhouse gas following carbon dioxide, is prominently emitted into the environment by municipal solid waste dumps. This study use the IPCC model to assess the methane emissions generated by landfills. Additionally, Simapro 9.5 software is utilised in conjunction with the ReCiPe 2016 Midpoint approach to evaluate the corresponding environmental consequences. The Klotok landfill was found to generate the maximum quantity of methane, specifically 3.518 Mg CO2 eq, as determined by the composition analysis of paper waste. Additionally, the largest environmental impact was observed in the category of human toxicity carcinogenicity, as indicated by the life cycle assessment (LCA) analysis with a value of 3733.057.

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Section: Resultssupporting

confidence: 92%

Section: Methane Landfill Emissionmentioning

confidence: 99%

Environmental Impact Analysis of Methane Gas from Landfill using LCA in Klotok landfill, Kediri, East Java

Restu Hikmah Ayu Murti,

Muhammad Abdus Salam Jawwad,

Syadzadhiya Qothrunada Zakiyayasin Nisa

et al. 2023

Technium

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“…Compared with traditional OP-TDL systems, the sTDLAS detector measures the cumulative gas concentration across the entire beam, collecting information over a large area with a single measurement [5]. Lightweight TDLAS sensors optimized for use on UAVs (weight: 0.53-2 kg) were tested in six studies [38][39][40][41][42][43] to measure CH 4 .…”

Section: Platforms and Sensing Technologies For Uav-based Chemical Se...mentioning

confidence: 99%

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

Marin,

Becciolini,

Santana

et al. 2023

Sensors

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In recent years, unmanned aerial vehicles (UAVs) have been increasingly used to monitor and assess air quality. The interest in the application of UAVs in monitoring air pollutants and greenhouse gases is evidenced by the recent emergence of sensors with the most diverse specifications designed for UAVs or even UAVs designed with integrated sensors. The objective of this study was to conduct a comprehensive review based on bibliometrics to identify dynamics and possible trends in scientific production on UAV-based sensors to monitor air quality. A bibliometric analysis was carried out in the VOSViewer software (version 1.6.17) from the Scopus and Web of Science reference databases in the period between 2012 and 2022. The main countries, journals, scientific organizations, researchers and co-citation networks with greater relevance for the study area were highlighted. The literature, in general, has grown rapidly and has attracted enormous attention in the last 5 years, as indicated by the increase in articles after 2017. It was possible to notice the rapid development of sensors, resulting in smaller and lighter devices, with greater sensitivity and capacity for remote work. Overall, this analysis summarizes the evolution of UAV-based sensors and their applications, providing valuable information to researchers and developers of UAV-based sensors to monitor air pollutants.

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“…Such regulations caused SEM data to become the most abundant data related to methane emissions in US landfills. Surface emission monitoring (SEM) can be performed by employing walking-based measurements (using FID or equivalent equipment) or by employing newer methodologies and technical advances offered through UAVs such as drones [12][13][14]. Ground-based (G-SEM) campaigns are performed using relatively affordable equipment.…”

Section: Introductionmentioning

confidence: 99%

“…With the abundance of SEM data arises the question of how to make better use of surface concentration measurements to locate emission sources and infer an estimate of methane emissions at the monitored landfills, in other words, how to transform measured methane concentrations (in ppmv) to an estimate of the emission rate (in Kg/h). Some researchers tried to establish simple correlation equations linking surface methane concentrations to emission rates [12,13]. Ref.…”

Section: Introductionmentioning

confidence: 99%

Using Ground- and Drone-Based Surface Emission Monitoring (SEM) Data to Locate and Infer Landfill Methane Emissions

Abichou,

Bel Hadj Ali,

Amankwah

et al. 2023

Methane

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Ground- and drone-based surface emission monitoring (SEM) campaigns were performed at two municipal solid waste landfills, during the same week as mobile tracer correlation method (TCM) testing was used to measure the total methane emissions from the same landfills. The G-SEM and the D-SEM data, along with wind data, were used as input into an inverse modeling approach combined with an optimization-based methane emission estimation method (implemented in a tool called SEM2Flux). This approach involves the use of backward dispersion modeling to estimate the whole-site methane emissions from a given landfill and the identification of locations and emission rates of major leaks. SEM2Flux is designed to exploit the measured surface methane concentration concurrently with wind data and tackle two problems: (1) inferring the estimates of methane rates from individual landfills, and (2) identifying the likely locations of the main emission sources. SEM2Flux results were also compared with emission estimates obtained using TCM. In Landfill B, the average TCM-measured methane emissions was 1178 Kg/h, with a standard deviation of 271 Kg/h. In Landfill C, the average TCM-measured emission rate was 601 Kg/h, with a standard deviation of 292 Kg/h. For both landfills, the D-SEM data yielded statistically similar estimates of methane emissions as the TCM-measured emissions. On the other hand, the G-SEM data yielded comparable estimates of emissions to TCM-measured emissions only for Landfill C, where the D-SEM and G-SEM data were statistically not different. The results of this study showcase the ability of this method using surface concentrations to provide a rapid and simple estimation of fugitive methane emissions from landfills. Such an approach can also be used to assess the effectiveness of different remedial actions in reducing fugitive methane emissions from a given landfill.

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Landfill Emissions of Methane Inferred from Unmanned Aerial Vehicle and Mobile Ground Measurements

Cited by 11 publications

References 23 publications

Environmental Impact Analysis of Methane Gas from Landfill using LCA in Klotok landfill, Kediri, East Java

Environmental Impact Analysis of Methane Gas from Landfill using LCA in Klotok landfill, Kediri, East Java

State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis

Using Ground- and Drone-Based Surface Emission Monitoring (SEM) Data to Locate and Infer Landfill Methane Emissions

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