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Masami Furuuchi

Researcher at Kanazawa University

Publications -  107
Citations -  1536

Masami Furuuchi is an academic researcher from Kanazawa University. The author has contributed to research in topics: Environmental science & Particle. The author has an hindex of 20, co-authored 97 publications receiving 1144 citations. Previous affiliations of Masami Furuuchi include Prince of Songkla University & Toyohashi University of Technology.

Papers
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The influence of the open burning of agricultural biomass and forest fires in Thailand on the carbonaceous components in size-fractionated particles.

TL;DR: In Chiang Mai, the northern part of Thailand, the forest fires located upwind of the monitoring site were found to be the largest contributor while the carbon behavior at the site in Bangkok was better accounted for by the EI of provinces in central Thailand including Bangkok and its surrounding provinces, where the burning of crop residues and the cultivation of sugarcane for sugar production are significant factors.
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Development and Performance Evaluation of Air Sampler with Inertial Filter for Nanoparticle Sampling

TL;DR: In this paper, the authors describe the design and evaluation of an ambient air sampler consisting of a four-stage impactor and an inertial filter, for collecting various size fractions, including nano-particles, in a short sampling period.
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Mechanical degradation of filter polymer materials: Polyphenylene sulfide

TL;DR: In this paper, the degradation of polyphenylene sulfide (PPS) non-woven fabrics in HNO3, H2SO4 and HCl was investigated, and a linear relationship between the nitric acid concentration and the proportion of carbon in the remaining PPS structures after 100h of acid exposure was found.
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Influence of agricultural activities, forest fires and agro-industries on air quality in Thailand

TL;DR: For the provinces being evaluated, agricultural activities and forest fires were shown to be closely correlated to the ambient PM concentration while their contribution to the production of gaseous pollutants is much less.
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Inertial Classification of Nanoparticles with Fibrous Filters

TL;DR: In this article, a new concept for the utilization of fibrous filters for the classification of nanoparticles was proposed and confirmed that the filter employed in the present work can separate particles smaller than 100 nm, and the main conclusions obtained in this paper are as follows: (1) Inertial filter utilizes inertial impaction of particles and the classification performance can be predicted by the log penetration law and the single fiber collection efficiency, (2) 50% cutoff size is reduced by increasing the filtration velocity and is predicted by Stk50 = 1, (3) In