The chemical characteristics of airborne particulate matter (PM) have been extensively studied; however, little information exists for its biological components (bioaerosol) especially during a haze event in mega cities. Herein, we studied the bioaerosol (fluorescent particle) dynamics on both haze and sunny days in Beijing from Dec. 2013 to March 2014 by employing a widely used real-time bioaerosol sensor-ultraviolet aerodynamic particle spectrometer (UV-APS). Firstly, we studied the fluorescent particle (BioPM) concentration and size distributions during three independent haze and three independent sunny days. Secondly, we investigated BioPM dynamics over a two-week long monitoring period which included consecutive haze days and alternated sunny days. In addition, we analyzed bacterial community structures and endotoxin levels in the air samples using pyrosequencing and Limulus amebocyte lysate (LAL) method, respectively. More than 6-fold higher fluorescent particle concentrations up to 5×10(5)/m(3) with peaks at night or early dawn were detected at the time of haze occurrences than those observed on sunny days. When the haze episode progressed for 3-5days, the BioPM concentrations were observed to decrease to the levels that were typically observed on sunny days. In general, ozone levels were found to be elevated at noon, while BioPM, NOx and relative humidity were reduced. Gene sequence analysis revealed no significant difference in abundances and community structures for top 13 bacterial genera between haze and sunny days, yet about twice higher endotoxin levels (12.4EU/m(3)) were detected on haze days than on sunny days. The results here facilitate a better understanding of atmospheric fluorescent particle dynamics including those under haze events.
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http://dx.doi.org/10.1016/j.scitotenv.2016.01.137 | DOI Listing |
ISA Trans
January 2025
Dept. de Ingeniería de Sistemas y Automática, University of Seville, Camino de los Descubrimientos, no number E-41092, Seville, Spain. Electronic address:
This article proposes using the extended Kalman filter (EKF) for recurrent neural network (RNN) training and fault estimation within a parabolic-trough solar plant. The initial step involves employing an RNN to model the system. Given the challenge of fault discernibility in the collectors, parallel EKFs are employed to reconstruct the parameters of the faults.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2024
Buildings' Services Faculty, Technical University of Civil Engineering of Bucharest, 020396 Bucharest, Romania.
This study presents a modern mobile laboratory to monitor outdoor air quality in Bucharest, Romania, with a focus on pollutants associated with transportation. Particulate matter (PM., PM), carbon monoxide (CO), ozone (O), sulfur dioxide (SO), nitrogen oxides (NO, NO), and BTEX compounds (benzene, toluene, ethylbenzene, and xylenes) were among the significant pollutants that were examined in the lab.
View Article and Find Full Text PDFRadiat Oncol J
December 2024
Department of Radiation Oncology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India.
Environ Sci Pollut Res Int
January 2025
Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641 003, India.
The present study focused on the impact of weather parameters over the foraging efficiency and pollination potential of stingless bees, Tetragonula iridipennis in tomato ecosystem which was located in Coimbatore district, Tamil Nadu, India. The maximum foraging activity (outgoing bees - 24.56/5 min, Pollen foragers - 8.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Mechanical Engineering of biosystem, Shahrekord University, Shahrekord, Iran.
The drying process in agriculture is energy-intensive and traditionally relies on fossil fuels, which are becoming less reliable and more expensive. This study designed and simulated a hybrid solar hot plate dryer system using the computer to reduce reliance on fossil fuels. The system's main components are a flat plate collector, photovoltaic panels, and a wind turbine.
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