• Title/Summary/Keyword: Particulate matter(PM)

Search Result 842, Processing Time 0.03 seconds

An automated determination method of particulate matter on food surface (식품표면에 부착된 미세먼지의 정량법)

  • Park, Sun-Young;Bang, Bong-Jun;Lim, Dayoung;Chung, Donghwa;Lee, Dong-Un
    • Food Science and Industry
    • /
    • v.54 no.1
    • /
    • pp.29-33
    • /
    • 2021
  • Particulate matter (PM) is an air pollutant that causes serious environmental problems in Korea and other countries. The annual average PM10 concentration in Korea is around 40 ㎛/㎥, which is more than twice as high as the WHO recommended standard. When consumed with food, fine PM can pose a risk to humans. However, the risk of fine PM has been focused on the risk of fine PM introduced through the respiratory system. We investigated the quantitative measuring methods of PM10 on food surface to identify possible risk analysis of fine PM. The surfaces of food with artificially contaminated PM10 were observed with a scanning electron microscope(SEM). An automatic object-based image analysis was used to analyze the amount and size distribution of particulate matter contained in SEM micrographs.

The Possibility of Managing Diseases Caused by Particulate Matter(PM10) with Chinese and Korean Medicines - Emphasis on Medical Prevention and Treatment - (미세먼지(霧霾)가 발생하는 질병과 중의학, 한의학의 관리가능성 - 예방과 치료를 중심으로-)

  • Koh, WonJoon;Ahn, JeongHoon;Lee, Sundong
    • Journal of Society of Preventive Korean Medicine
    • /
    • v.22 no.1
    • /
    • pp.69-80
    • /
    • 2018
  • Objectives : This paper examines the effects of Particulate Matter on human bodies and the possibility of treating them with Chinese or Korean medicines. Methods : This paper categorizes the diseases caused by Particulate Matter, as well as the causes, pathology, prevention methods, and effectiveness of treatments by Chinese and Korean medicines. Based on these results, it analyzes whether such diseases can be managed by Chinese and Korean medicine. Results : Particulate Matter is known to affect respiratory organs, skin, circulatory system, nervous system, gestational diabetes, and other parts of the human body. While studies show evidence that treatments by Chinese and Korean medicines can reduce symptoms of some diseases and improve bodily functions that are damaged by Particulate Matter, there is no statistically significant evidence that they can provide fundamental treatments nor treat irreversible damages. Conclusion : Currently, there is no definite evidence that Chinese and Korean medicine can treat symptoms and diseases caused by Particulate Matter. Therefore, some Korean medicine doctors' arguments that Korean medicine is effective in treating such diseases are problematic, and thus, there is a need for much research in this field.

Effects of Regular Inspection Facility Standards Improvement on Particulate Matter (PM10) Emissions (정기검사 시설기준 개선이 입자상물질(PM10) 배출에 미치는 영향)

  • Choi, Soungkyu;Kim, Yongdal;Lee, Jaeyoung;Kim, Hogyeong;Noh, Kiseong;Park, Jungsoo
    • Journal of Auto-vehicle Safety Association
    • /
    • v.11 no.1
    • /
    • pp.36-39
    • /
    • 2019
  • The particulate matter that was emitted always come up by atmospheric environmental problem. Running on the road vehicles must have regular inspection at regular period and make sure the emissions of exhaust gases exceed the legal standards. Emission test for the atmospheric environment, but it is not free from the particulate matter. Currently, emission test of vehicle inspection is divided into regular inspection and close inspection. Regular inspection and close inspection differ not only the method of emission test, but also the facility standards that must have for this inspection. According to the "Regulations on the Implementation of Comprehensive vehicle Inspection, etc.", close inspection must have trapping device that is trap particulate matter by emission test to vehicle. However, regular inspection is different. Regular inspection do not specify any criteria for trapping facilities. Therefore, this study is confirm how to prevent the emission of particulate matter to the atmosphere during the year when mandatory trapping facilities are required to trapped particulate matter in the regular inspection.

Anomaly detection in particulate matter sensor using hypothesis pruning generative adversarial network

  • Park, YeongHyeon;Park, Won Seok;Kim, Yeong Beom
    • ETRI Journal
    • /
    • v.43 no.3
    • /
    • pp.511-523
    • /
    • 2021
  • The World Health Organization provides guidelines for managing the particulate matter (PM) level because a higher PM level represents a threat to human health. To manage the PM level, a procedure for measuring the PM value is first needed. We use a PM sensor that collects the PM level by laser-based light scattering (LLS) method because it is more cost effective than a beta attenuation monitor-based sensor or tapered element oscillating microbalance-based sensor. However, an LLS-based sensor has a higher probability of malfunctioning than the higher cost sensors. In this paper, we regard the overall malfunctioning, including strange value collection or missing collection data as anomalies, and we aim to detect anomalies for the maintenance of PM measuring sensors. We propose a novel architecture for solving the above aim that we call the hypothesis pruning generative adversarial network (HP-GAN). Through comparative experiments, we achieve AUROC and AUPRC values of 0.948 and 0.967, respectively, in the detection of anomalies in LLS-based PM measuring sensors. We conclude that our HP-GAN is a cutting-edge model for anomaly detection.

A Study on the Distribution Characteristics and Countermeasures of Concentrations of Ambient PM10 and PM2.5 in Yangju, South Korea

  • Dohun Lim;Yoonjin Lee
    • Economic and Environmental Geology
    • /
    • v.55 no.6
    • /
    • pp.701-716
    • /
    • 2022
  • This study investigated the distribution behaviors of PM2.5 and PM10 at two air quality monitoring sites, Go-eup (GO) and Backseokeup (BS), located in Yangju City, South Korea. The amounts of emissions sources of pollutants were analyzed based on the Clean Air Policy Support System (CAPSS), and the contribution rates of neighboring cities were enumerated in Yangju. Yangju has a geological basin structure, and it is a city with mixed urban and rural characteristics. The emission concentration of particulate matter was affected by geological and seasonal factors for all sites observed in this study. Therefore, these factors should be considered when establishing policies related to particulate matter. Because the official GO and BS station sites in Yangju are both situated in the southern part of the city, the representativeness of both stations was checked using correlation analysis for the measurement of PM2.5 and PM10 by considering two more sites-those of Bongyang-dong (BY) and the Gumjun (GJ) industrial complex. The data included discharge amounts for business types 4 and 5, which were not sufficiently considered in the CAPSS estimates. Because the 4 and 5 types of businesses represent over 92.6% of businesses in this city, they are workplaces in Yangju that have a significant effect on the total air pollutant emission. These types of businesses should be re-inspected as the main discharge sources in industry, and basic data accumulation should be carried out. Moreover, to manage the emission of particulate matter, attainable countermeasures for the main sources of these emissions should be prepared in a prioritized fashion; such countermeasures include prohibition of backyard burning, supervision of charcoal kilns, and management of livestock excretions and fugitive dust in construction sites and on roads. The contribution rates by neighboring cities was enumerated between 6.3% and 10.9% for PM2.5. Cooperation policies are thought to be required with neighboring cites to reduce particulate matter.

Status of particulate matter pollution in urban railway environments (도시철도 환경의 미세먼지 오염 현황)

  • Kim, Jong Bum;Lee, Seung-Bok;Bae, Gwi-Nam
    • Journal of odor and indoor environment
    • /
    • v.17 no.4
    • /
    • pp.303-314
    • /
    • 2018
  • The urban railway system is a convenient public transportation system, as it carries many people without increasing traffic congestion. However, air quality in urban railway environments is worse than ambient air quality due to the internal location of the source of air pollutants and the isolated space. In this paper, characteristics of particulate matter (PM) pollution in urban railway environments are described from the perspective of diurnal variation, chemical composition and source apportionment of PM. PM concentrations in concourse, platform, passenger cabin, and tunnel are summarized through an analysis of 34 journal articles published in Korea and overseas. This information will be helpful in developing effective policies to reduce PM pollution in urban railway environments.

Characteristics of Nano-Particles Exhausted from Diesel Passenger Vehicle with DPF

  • Park, Yong-Hee;Shin, Dae-Yewn
    • Journal of Environmental Health Sciences
    • /
    • v.32 no.6
    • /
    • pp.533-538
    • /
    • 2006
  • The nano-particles are known to influence the environmental protection and human health. The relationships between transient vehicle operation and nano-particle emissions are not well-known, especially for diesel passenger vehicles with DPF(Diesel Particulate Filter). In this study, two diesel passenger vehicles were measured on a chassis dynamometer test bench. The particulate matter (PM) emission of these vehicles was investigated by number and mass measurement. The mass of the total PM was evaluated using the standard gravimetric measurement method, and the total number concentrations were measured on a ECE15+EUDC driving cycle using Condensation Particle Counter (CPC). According to the investigation results, total number concentration was $1.14{\times}10^{11}$M and mass concentration was 0.71mg/km. About 99% of total number concentration was emitted during the $0{\sim}400s$ because of engine cold condition. In high temperature and high speed duration, the particulate matter was increased but particle concentration was emitted not yet except initial engine cold condition According to DPF performance deterioration, the particulate matter was emitted 2 times and particle concentration was emitted 32 times. Thus DPF performance deterioration affects particle concentration more than PM.

Prediction of sharp change of particulate matter in Seoul via quantile mapping

  • Jeongeun Lee;Seoncheol Park
    • Communications for Statistical Applications and Methods
    • /
    • v.30 no.3
    • /
    • pp.259-272
    • /
    • 2023
  • In this paper, we suggest a new method for the prediction of sharp changes in particulate matter (PM10) using quantile mapping. To predict the current PM10 density in Seoul, we consider PM10 and precipitation in Baengnyeong and Ganghwa monitoring stations observed a few hours before. For the PM10 distribution estimation, we use the extreme value mixture model, which is a combination of conventional probability distributions and the generalized Pareto distribution. Furthermore, we also consider a quantile generalized additive model (QGAM) for the relationship modeling between precipitation and PM10. To prove the validity of our proposed model, we conducted a simulation study and showed that the proposed method gives lower mean absolute differences. Real data analysis shows that the proposed method could give a more accurate prediction when there are sharp changes in PM10 in Seoul.

Particulate Matter Monitoring System Based on IoT for Construction Sites (IoT 기반의 건설현장 미세먼지 모니터링 시스템 개발에 관한 연구)

  • Kim, Hyunsik;Tae, Sungho
    • Proceedings of the Korean Institute of Building Construction Conference
    • /
    • 2021.11a
    • /
    • pp.40-41
    • /
    • 2021
  • Recently, particulate matter(PM) caused by internal factors such as industrialization and urbanization as well as external factors such as Asian dust is a serious problem in Korea. In particular, while the emission due to construction appears to be very serious among the internal factors, it is necessary to manage PM in consideration of the characteristics of construction sites. Accordingly, in this study, a PM management system suitable for construction sites was developed to reduce civil complaints caused by PM and to minimize damage to field workers and nearby residents by supporting the fine dust management system of the state and local governments. The factors to be considered when measuring PM due to the specificity of construction sites were considered, and the system components were developed based on the considerations. As a result, an IoT based construction site PM monitoring system (CPMS) that integrates each component was established.

  • PDF

Experimental Study on Estimation of Oxidation Rate of PM inside of Diesel Particulate Filter (DPF내 포집된 입자상 물질의 산화율 산출을 위한 실험적 연구)

  • Shim, Beomjoo;Park, Kyoungsuk;Jo, Kyuhee;Lee, Hyeongjun;Min, Byeongdu
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.21 no.2
    • /
    • pp.98-103
    • /
    • 2013
  • Conventional method to estimate mass of particulate matter accumulated in diesel particulate filter is to use pressure difference between upstream and downstream of the filter. Then measured pressure difference should be compared that of clean condition which is no particulate matter accumulated in DPF. During regeneration soot oxidation is also estimated by same method. This methodology, however, has demerit on accuracy because of pressure difference deviation of clean DPFs and pressure difference caused by non-carbon based PM which is different from that of caused by carbon based PM. This study suggests new methodology to estimate accumulated soot oxidation rate through exhaust gas characteristics during regeneration. Results, more high accuracy of soot oxidation was obtained by analysis of relationship between fuel mass and concentration of carbon dioxide and oxygen.