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No observed data have been found in the Fukushima Prefecture (FP) for the time-series of atmospheric radionuclides concentrations just after the Fukushima Daiichi Nuclear Power Plant (FD1NPP) accident. Accordingly, current estimates of internal radiation doses from inhalation, and atmospheric radionuclide concentrations by atmospheric transport models are highly uncertain. Here, we present a new method for retrieving the hourly atmospheric (137)Cs concentrations by measuring the radioactivity of suspended particulate matter (SPM) collected on filter tapes in SPM monitors which were operated even after the accident. This new dataset focused on the period of March 12-23, 2011 just after the accident, when massive radioactive materials were released from the FD1NPP to the atmosphere. Overall, 40 sites of the more than 400 sites in the air quality monitoring stations in eastern Japan were studied. For the first time, we show the spatio-temporal variation of atmospheric (137)Cs concentrations in the FP and the Tokyo Metropolitan Area (TMA) located more than 170 km southwest of the FD1NPP. The comprehensive dataset revealed how the polluted air masses were transported to the FP and TMA, and can be used to re-evaluate internal exposure, time-series radionuclides release rates, and atmospheric transport models.
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http://dx.doi.org/10.1038/srep06717 | DOI Listing |
Sci Total Environ
September 2025
Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. Electronic address:
Extreme rainfall during the Indian Summer Monsoon (ISM) accounts for approximately 27 % of the total seasonal rainfall. Most of this moisture is transported from the Indian Ocean. Amid ongoing warming of the Indian Ocean, 2023 stood out as one of the warmest monsoon years on record.
View Article and Find Full Text PDFEnviron Sci Atmos
August 2025
Department of Chemistry, University of Iowa Iowa 52242 USA
A Wideband Integrated Bioaerosol Sensor (WIBS) was used in conjunction with chemical tracer analysis for the first time during the 2022-2023 grass pollen season in Melbourne, Australia. WIBS detected continuous levels of bioaerosol throughout the campaign. From 18th November to 7th December 2022, fluorescent particles accounted for an average of 10% of total particles in number, corresponding to an estimated 0.
View Article and Find Full Text PDFAerosol acidity (pH) plays a critical role in atmospheric chemical processes, secondary aerosol formation, and urban air quality. Based on five years of hourly observations (2019-2023) in subtropical Dongguan, this study investigates the variability and thermodynamic regulation of aerosol pH, with a focus on aerosol liquid water content (ALWC), hydrogen ion (H) concentrations, and their interactions. Secondary inorganic aerosols (SIA), including NH, SO, NO and Cl, accounted for 92 ± 4 % of total water-soluble inorganic ions (WSIIs), with sufficient total NH (TNH) and non-volatile cations (NVCs) available to neutralize acidic species.
View Article and Find Full Text PDFEnviron Int
August 2025
Spanish Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiology and Public Health-CIBERESP), Madrid, Spain; Department of Statistics and Computational Research. Universitat de València, València, Spain.
Background: The rise in hot nights over recent decades and projections of further increases due to climate change underscores the critical need to understand their impact. This knowledge is essential for shaping public health strategies and guiding adaptation efforts. Despite their significance, research on the implications of hot nights remains limited.
View Article and Find Full Text PDFSci Total Environ
August 2025
School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Particle number size distributions (PNSDs) in the atmosphere are a composite from various sources, and Positive Matrix Factorization (PMF) is commonly used to identify these sources by separating the data into multiple factors, each representing a source which is assumed to emit a constant PNSD over time. However, assuming a constant PNSD for each source overlooks the regular growth and shrinkage of atmospheric particles, which often follow diurnal cycles. 'Wide-PMF' restructures the data matrix to place each hourly observation side-by-side; each wide-PMF factor represents a diurnal cycle in the PNSD, capturing formation, emission, growth, shrinkage, and losses, unlike narrow-PMF which presents a time-invariant size distribution whose diurnal cycle has to be inferred from the G-matrix.
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