Solid waste landfills are responsible for much of the anthropogenic methane emitted from the waste sector. The quantification of fugitive CH emissions from a landfill is to date characterised by high uncertainty and several methodologies have been devised to estimate emission fluxes. Unmanned Aerial Vehicles (UAVs, also known as drones) are revolutionising the way CH emission monitoring is conceived and offer new opportunities for quantifying emission fluxes from a landfill, mainly due to recent advances in sensor miniaturisation that make these instruments lighter and more suitable to be equipped on a drone. The paper analyses publications from the period 2014-2024 that illustrate UAV-based methods that can be used for this purpose, identifying experiences in the field and the current state of research. The review has highlighted a current research status characterised by a strong experimental focus, with few tests carried out in landfills under real emission conditions (33 % of the reviewed papers). Since 2018, there has been a growing interest in open-path sensors, tested in some controlled-release experiments according to different configurations which have given promising results, but experiences are limited and there are no experiments conducted directly in landfills. In general, the UAV-based methods identified by this systematic review are characterised by unclear uncertainties. Drones are a viable alternative to traditional monitoring methods at landfills and allow data to be acquired with a spatial and temporal resolution that can hardly be achieved by other low-cost methods. However, further studies and field trials are needed to better understand methodological aspects: especially the uncertainty of each step in the quantification process need to be properly analysed and quantified more precisely.
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http://dx.doi.org/10.1016/j.scitotenv.2024.173981 | DOI Listing |
Sci Rep
January 2025
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Thawing Arctic permafrost can induce hydrologic change and alter redox conditions, shifting the balance of soil organic matter (SOM) decomposition. There remains uncertainty about how soil saturation and redox transitions impact dissolved and gas phase carbon fluxes, and efforts to link hydrobiogeochemical processes to ecosystem-scale models are limited. This study evaluates SOM decomposition of Arctic tundra soils using column experiments, water chemistry measurements, microbial community analysis, and a PFLOTRAN reactive transport model.
View Article and Find Full Text PDFEnviron Res
January 2025
China Academy of Safety Science and Technology, Beijing 100012, China. Electronic address:
Spontaneous coal fires are a significant source of greenhouse gas emissions, contributing to global warming. However, the lack of reliable estimation methods and research has obscured the full environmental impact of these emissions. This paper presents a novel quantification method for fugitive carbon emissions from spontaneous coal combustion.
View Article and Find Full Text PDFJ Environ Manage
January 2025
College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China.
This study employed in-situ online monitoring to assess the impact of Spartina alterniflora harvesting on greenhouse gas emissions. Their fluxes and δC values were measured in unvegetated tidal flat, low and medium vegetation coverage areas of the salt marsh wetlands along the south shore of Hangzhou Bay about a month after harvest. The objective was to clarify fluxes changes and interactions with environmental factors.
View Article and Find Full Text PDFSci Total Environ
January 2025
State Key Laboratory of Marine Resource Utilization in South China Sea, School of Ecology, School of Marine Science and Engineering, Hainan University, Haikou, Hainan, China; Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou, Hainan, China. Electronic address:
The mangrove ecosystems store a significant amount of "blue carbon" to mitigate global climate change, but also serve as hotspots for greenhouse gases (GHGs: CO, CH and NO) production. The CH and NO emissions offset mangrove carbon benefits, however, the extent of this effect remains inadequately quantified. By applying the 36 h time-series observations and mapping cruises, here we investigated the spatial and temporal distribution of GHGs and their fluxes in Dongzhaigang (DZG) bay, the largest mangrove ecosystem in China, at tidal and monthly scales.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, PR China; Institute of Eco-Chongming (IEC), 20 Cuiniao Road, Chenjia Town, Chongming District, Shanghai 202162, PR China. Electronic address:
As one of the significant air pollutants, nitrogen oxides (NO = NO + NO) not only pose a great threat to human health, but also contribute to the formation of secondary pollutants such as ozone and nitrate particles. Due to substantial uncertainties in bottom-up emission inventories, simulated concentrations of air pollutants using GEOS-Chem model often largely biased from those of ground-level observations. To address this issue, we developed a new deep learning model to simulate the inverse process of the GEOS-Chem model.
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