10 research outputs found
Cancer risk from polycyclic aromatic compounds in fine particulate matter generated from household coal combustion in Xuanwei, China
No full textTitle on author’s file: "Cancer risk from polycyclic aromatic hydrocarbons in fine particulate matter generated from household coal combustion in Xuanwei, China"202308 bcchAccepted ManuscriptRGCOthersNational Natural Science Foundation of ChinaPublishe
Experimental Designs for Optimizing Multi-residual Microwave-assisted Extraction and Chromatographic Analysis of Oxygenated (Hydroxylated, Quinones) Metabolites of PAHs in Sediments
No full textPAHs Accumulations in Plant Leaves Around Coal-Fired Power Plant and Identification of their Potential Use as Bioindicators
No full textSeasonal variation and health risk assessment of atmospheric PM2.5-bound polycyclic aromatic hydrocarbons in a classic agglomeration industrial city, central China
No full textGenotoxicity of oxy-PAHs to Japanese medaka (Oryzias latipes) embryos assessed using the comet assay
No full textAssessing the endocrine disrupting potentials and genotoxicity in environmental samples from Taiwanese rivers
No full textEmission Characteristics of PM2.5 and Trace Gases from Household Wood Burning in Guanzhong Plain, Northwest China
No full textAn oxygenated metabolite of benzo[a]pyrene increases hepatic β-oxidation of fatty acids in chick embryos
No full textOn the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes
No full textAir pollution assessment in the Tropical Andes requires a multidisciplinary approach. This can be supported from the understanding of the underlying biological dynamics and atmospheric behavior, to the mathematical approach for the proper use of all available information. This review paper touches on several aspects in which mathematical models can help to solve challenging problems regarding air pollution in reviewing the state-of-the-art at the global level and assessing the corresponding state of development as applied to the Tropical Andes. We address the complexities and challenges that modelling atmospheric dynamics in a mega-diverse region with abrupt topography entails. Understanding the relevance of monitoring and facing the problems of data scarcity, we call attention to the usefulness of data assimilation for uncertainty reduction, and how these techniques could help tackle the scarcity of regional monitoring networks to accelerate the implementation and development of modelling systems for air quality in the Tropical Andes. Finally, we suggest a cyberphysical framework for decision-making processes based on the data assimilation of chemical transport models, the forecast of scenarios, and their use in regulation and policy making. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature
