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Polycyclic aromatic hydrocarbons (PAHs) are formed invariably through oxidative and pyrolytic degradation of organic materials and fuels. Understanding the highly complex reaction mechanisms that dictate their synthesis in thermal systems has been given a great deal of focus. Such interest stems from two broad perspectives, namely, enhancing the efficiency of the combustion system, and energy recovery from fuels and protecting the environment. Health and environmental effects widely vary among PAHs where certain compounds exhibit carcinogenic tendencies. This critical review mainly aims to provide a general mechanistic view of the commonly discussed formation pathways of PAHs. The attained mechanistic knowledge often incorporates experimental measurements and kinetic modelings, as well as pathways mapped out by quantum chemical calculations. A chemical sampling of species is typically conducted via the molecular beam (MB)− mass spectroscopy (MS) technique connected to the reactor (flow reactor, jet-stirred reactor, or a shock tube). Generally, PAH precursors mainly encompass four categories of species (radicals and molecules): acetylenic compounds, alkyl radicals, phenyl radicals, and resonance-stabilized cyclic radicals. Overall, the relevance of a mechanism depends on the consistency between the proposed kinetic model that incorporates mechanism pathways, and the experimental profiles of products at the investigated conditions (i.e., temperatures, pressures, and distance from the burners). The effect of seeding common PAH precursors, with other precursors, has been explored by surveying pertinent experimental studies. Growth of higher PAHs, including the toxic pyrene, most likely involves a hydrogen abstraction acetylene addition (HACA)-like mechanism starting from anthracene and bimolecular reactions that involve benzyl radicals and indene molecules. A synergistic collaboration between different mechanisms is often suggested to account for the observed fast growth rate of PAHs. As experimentally shown, sequential mass growth by 15 u, 24 u, 26 u, and 74 u, indicate formation routes by the MAC, HACA, HAVA*, and PAC routes, respectively. Whether a physical or a chemical process is the initial step in the conversion of PAHs into soot (the inception step) is still debated in the literature. Recent experimental evidence underscores that the soot inception is likely to commence by creating PAH dimers through physical clustering under real flame conditions (i.e., 400− 1200 K). Formation of PAHs from degradation of synthetic and natural polymers ensues from condensation of their fragments as well as from structural arrangements of the polymeric structural entities, prior to their fragmentation. The surveyed and presented knowledge in this review will be useful for readers who aim to comprehend the highly complex chemistry underlying the synthesis of PAHs in thermal systems.
Polycyclic aromatic hydrocarbons (PAHs) are formed invariably through oxidative and pyrolytic degradation of organic materials and fuels. Understanding the highly complex reaction mechanisms that dictate their synthesis in thermal systems has been given a great deal of focus. Such interest stems from two broad perspectives, namely, enhancing the efficiency of the combustion system, and energy recovery from fuels and protecting the environment. Health and environmental effects widely vary among PAHs where certain compounds exhibit carcinogenic tendencies. This critical review mainly aims to provide a general mechanistic view of the commonly discussed formation pathways of PAHs. The attained mechanistic knowledge often incorporates experimental measurements and kinetic modelings, as well as pathways mapped out by quantum chemical calculations. A chemical sampling of species is typically conducted via the molecular beam (MB)− mass spectroscopy (MS) technique connected to the reactor (flow reactor, jet-stirred reactor, or a shock tube). Generally, PAH precursors mainly encompass four categories of species (radicals and molecules): acetylenic compounds, alkyl radicals, phenyl radicals, and resonance-stabilized cyclic radicals. Overall, the relevance of a mechanism depends on the consistency between the proposed kinetic model that incorporates mechanism pathways, and the experimental profiles of products at the investigated conditions (i.e., temperatures, pressures, and distance from the burners). The effect of seeding common PAH precursors, with other precursors, has been explored by surveying pertinent experimental studies. Growth of higher PAHs, including the toxic pyrene, most likely involves a hydrogen abstraction acetylene addition (HACA)-like mechanism starting from anthracene and bimolecular reactions that involve benzyl radicals and indene molecules. A synergistic collaboration between different mechanisms is often suggested to account for the observed fast growth rate of PAHs. As experimentally shown, sequential mass growth by 15 u, 24 u, 26 u, and 74 u, indicate formation routes by the MAC, HACA, HAVA*, and PAC routes, respectively. Whether a physical or a chemical process is the initial step in the conversion of PAHs into soot (the inception step) is still debated in the literature. Recent experimental evidence underscores that the soot inception is likely to commence by creating PAH dimers through physical clustering under real flame conditions (i.e., 400− 1200 K). Formation of PAHs from degradation of synthetic and natural polymers ensues from condensation of their fragments as well as from structural arrangements of the polymeric structural entities, prior to their fragmentation. The surveyed and presented knowledge in this review will be useful for readers who aim to comprehend the highly complex chemistry underlying the synthesis of PAHs in thermal systems.
Faced with increasingly serious environmental problems, scientists have conducted extensive research, among which the importance of air quality prediction is becoming increasingly prominent. This article briefly reviews the utilization of geographic artificial intelligence (AI) in air pollution. Firstly, this paper conducts a literature metrology analysis on the research of geographical AI used in air pollution. That is, 607 documents are retrieved from the Web of Science (WOS) using appropriate keywords, and literature metrology analysis is conducted using Citespace to summarize research hotspots and frontier countries in this field. Among them, China plays a constructive role in the fields of geographic AI and air quality research. The data characteristics of Earth science and the direction of AI utilization in the field of Earth science were proposed. It then quickly expanded to investigate and research air pollution. In addition, based on summarizing the current status of Artificial Neural Network (ANN), Recurrent Neural Network (RNN), and hybrid neural network models in predicting air quality (mainly PM2.5), this article also proposes areas for improvement. Finally, this article proposes prospects for future research in this field. This study aims to summarize the development trends and research hotspots of the utilization of geographic AI in the prediction of air quality, as well as prediction methods, to provide direction for future research.
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