Variabilities of δ13C and carbonaceous components in ambient PM2.5 in Northeast India: Insights into sources and atmospheric processes

Qadri, Adnan Mateen; Singh, Gyanesh Kumar; Paul, Debajyoti; Gupta, Tarun; Rabha, Shahadev; Islam, Nazrul; Saikia, Binoy K.

doi:10.1016/j.envres.2022.113801

Cited by 10 publications

(3 citation statements)

References 76 publications

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“…This approach uncovers heterogeneity patterns and draws conclusions on pollution impact mechanisms characterized by “comprehensiveness, complexity, dynamics, regionality, persistence, and latency”. In recent years, several models have been employed to examine the relationship between soil heavy metal pollution and human activities, such as Chemical Mass Balance (CMB), Positive Matrix Factorization (PMF), Absolute Principal Component Scores with Multiple Linear Regression (APCS/MLR), Potential Source Contribution Function (PSCF), UNMIX, and Principal Component Analysis (PCA) [ [167] , [168] , [169] , [170] , [171] , [172] , [173] ]. For example, Sha Huang [ 20 ] estimated soil heavy metal pollution levels using the Nemerow Pollution Index (Pn) and utilized detector statistical methods to assess the influence of eighteen environmental factors, including six natural factors (such as soil properties and surface topography) and twelve anthropogenic factors (such as industry, road networks, land use types, and landscape patterns).…”

Section: Resultsmentioning

confidence: 99%

Brownfield-related studies in the context of climate change: A comprehensive review and future prospects

Wan,

Chen,

Liu

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Brownfield-related studies in the context of climate change: A comprehensive review and future prospects

Wan,

Chen,

Liu

et al. 2024

Heliyon

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“…In another study, Aslan et al [162,163] investigated neat polymers using a homogenisation technique. Since these methods have been used for neat polymers in the FDM technique, a proper combination of atomistic-or micro-scale methods, such as EMT and HT in a hierarchical framework, could be a possible computational model to investigate FDM nanocomposites parts in the near future for novel application areas such as environmental air quality sensing [164][165][166].…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Fused Deposition Modelling of Thermoplastic Polymer Nanocomposites: A Critical Review

Sheikh,

Behdinan

2024

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Fused deposition modelling (FDM) has attracted researchers’ interest in myriads of applications. The enhancement of its part using fillers to print nanocomposites is a cutting-edge domain of research. Industrial acceptance is still a challenge, and researchers are investigating different nanofillers and polymer matrix combinations to investigate FDM-printed nanocomposites. Carbon nanotubes, graphene, and cellulose are heavily studied nanofillers because of their astonishing properties, biocompatibility, and ability to tailor the final performance of the FDM-printed nanocomposite part. This work presents a comprehensive review of polymer nanocomposites based on these nanofillers. Important examples, case studies, and results are discussed and compared to elaborate the understanding of the processing of nanocomposites, filaments, printing, and the characterisation of these nanocomposites. A detailed and exhaustive discussion of the prospective computational models, with challenges and a future road map, is provided, enabling the scientific community to understand these nanocomposites and their FDM processing for wider industrial applications and acceptance.

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“…The potential source contribution factor (PSCF) method (Malm et al, 1986) is used to identify source regions affecting air quality in terms of NH 3 concentration in Paris between January 2020 and June 2022. This method is now commonly used in atmospheric science Qadri et al, 2022;Martino et al, 2022;Biuki et al, 2022;Ren et al, 2021;Zachary et al, 2018;Jeong et al, 2011) and combines the concentration dataset with air parcel back trajectory to identify preferred pathways producing high observed NH 3 concentrations in Paris. The larger the PSCF (range: 0-1), the greater the contribution of the pollution region to the atmospheric pollutants at the receptor site.…”

Section: Back Trajectories and Potential Source Contribution Factor (...mentioning

confidence: 99%

Measurement report: Ammonia in Paris derived from ground-based open-path and satellite observations

Viatte,

Guendouz,

Dufaux

et al. 2023

Atmos. Chem. Phys.

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Abstract. Ammonia (NH3) is an important air pollutant which, as a precursor of fine particulate matter, raises public health concerns. This study analyzes 2.5 years of NH3 observations derived from ground-based (miniDOAS; differential optical absorption spectroscopy) and satellite (IASI; Infrared Atmospheric Sounding Interferometer) remote sensing instruments to quantify, for the first time, temporal variabilities (from interannual to diurnal) in NH3 concentrations in Paris. The IASI and miniDOAS datasets are found to be in relatively good agreement (R>0.70) when atmospheric NH3 concentrations are high and driven by regional agricultural activities. Over the investigated period (January 2020–June 2022), NH3 average concentrations in Paris measured by the miniDOAS and IASI are 2.23 µg m−3 and 7.10×1015 molec. cm−2, respectively, which are lower than or equivalent to those documented in other urban areas. The seasonal and monthly variabilities in NH3 concentrations in Paris are driven by sporadic agricultural emissions influenced by meteorological conditions, with NH3 concentrations in spring up to 2 times higher than in other seasons. The potential source contribution function (PSCF) reveals that the close (100–200 km) east and northeast regions of Paris constitute the most important potential emission source areas of NH3 in the megacity. Weekly cycles of NH3 derived from satellite and ground-based observations show different ammonia sources in Paris. In spring, agriculture has a major influence on ammonia concentrations, and, in the other seasons, multi-platform observations suggest that ammonia is also controlled by traffic-related emissions. In Paris, the diurnal cycle of NH3 concentrations is very similar to the one of NO2, with morning enhancements coincident with intensified road traffic. NH3 evening enhancements synchronous with rush hours are also monitored in winter and fall. NH3 concentrations measured during the weekends are consistently lower than NH3 concentrations measured during weekdays in summer and fall. This is further evidence of a significant traffic source of NH3 in Paris.

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Variabilities of δ13C and carbonaceous components in ambient PM2.5 in Northeast India: Insights into sources and atmospheric processes

Cited by 10 publications

References 76 publications

Brownfield-related studies in the context of climate change: A comprehensive review and future prospects

Brownfield-related studies in the context of climate change: A comprehensive review and future prospects

Fused Deposition Modelling of Thermoplastic Polymer Nanocomposites: A Critical Review

Measurement report: Ammonia in Paris derived from ground-based open-path and satellite observations

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