• Title/Summary/Keyword: 미세먼지

Search Result 1,326, Processing Time 0.039 seconds

Analysis of the Correlation between Fine Dust and Disease Using Big Data (빅데이터를 활용한 미세먼지와 질병 간의 상관관계 분석)

  • Nam, Kyeongyoon;Moon, Soyoung;Kim, Hyon Hee
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2022.11a
    • /
    • pp.368-370
    • /
    • 2022
  • WHO 산하의 국제암연구소는 2013 년부터 미세먼지를 1 급 발암 물질로 분류하고 있으며 미세먼지 노출에 대한 질병 발생의 심각성은 점점 수면 위로 드러나고 있는 추세다. 본 연구에서는 국민건강보험공단의 진료 내역 정보 데이터와 2015 년부터 2021 년까지의 미세먼지 및 초미세먼지 월 평균 농도 데이터를 이용하여 미세먼지 및 초미세먼지 농도와 순환기계와 호흡기계 질병 간의 상관 관계를 보이고, 연관성있는 질병을 찾아내었다. 이를 위해 시계열분석, 상관분석, 빈도분석을 시행하였으며 실험 결과 호흡기질환에서는 급성 부비동염, 코의 농양 등의 질병과 순환기질환에서는 상세불명의 원발성 고혈압, 폐색전증이 상관관계가 높은 질병으로 판명되었다.

Association Prediction Method Using Correlation Analysis between Fine Dust and Medical Subjects (미세먼지와 진료과목의 상관관계 분석을 통한 연관성 예측 방법)

  • Lim, Myung Jin;Kim, Seon Mi;Shin, Ju Hyun
    • Smart Media Journal
    • /
    • v.7 no.3
    • /
    • pp.22-28
    • /
    • 2018
  • Air pollution problems in Korea are gradually becoming a higher concern due to various reasons such as fine dust, causing anxiety among people with regard to their health. Although various studies have been carried out on the relationship between the influence of fine dust and a certain disease, they are mostly focusing on the analyzation that fine dust is related to specific illnesses such as respiratory and cardiovascular diseases, hypertension and diabetes. In this paper, we utilize the public data of medical history information to extract ten medical care subjects with the highest number of monthly care in 2016, and analyze the relation of fine dust with certain medical subjects using Pearson correlation coefficient. We also subdivide and analyze the correlation between fine dust and the medical subjects according to their gender and age. Middle-aged Female group with the strongest positive correlation between fine dust and the medical subjects is analyzed with the correlation from 2011 to 2015, with its relevance coefficient extracted by regression analysis in order to predict the correlation with the medical subjects according to the fine dust concentration.

Relationship Analysis between Fine Dust and Traffic in Seoul using R (R을 이용한 서울시 교통량과 미세먼지 발생의 상관관계 분석)

  • Hwang, Seung-Yeon;Moon, Jin-Yong;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.19 no.4
    • /
    • pp.139-149
    • /
    • 2019
  • As of 2018, a large amount of Chinese fine dust is flowing into Korea in westerlies. However, the amount of fine dust generated in Korea can not be ignored. Even 52% of the causes of fine dust are domestic factors. Especially in Seoul, where the population is densely populated, the dust levels are high enough to be comparable to other regions. In Seoul, the dust levels are different from each other district. In order to understand the difference of fine dust generation by distinction, it is judged based on the highest traffic volume among the causes of fine dust generation in Seoul. Comparing the traffic volume and the fine dust concentration in 2017, it is possible to know the effect of traffic volume actually, how much it affects.

Verify a Causal Relationship between Fine Dust and Air Condition-Weather Data in Selected Area by Contamination Factors (오염 요인별 지역선정을 통한 대기-기상자료의 미세먼지 인과관계 검증)

  • Han, Jeong-Min;Kim, Jae-Goo;Cho, Ki-Hyun
    • The Journal of Bigdata
    • /
    • v.2 no.1
    • /
    • pp.17-26
    • /
    • 2017
  • The gradual desertification in Northeastern China brought about by the industrial development and global warming, has affected the Korean peninsula as evident by the ultrafine dust geographically and seasonally. People with severe respiratory problems, senior citizens and the infants are susceptible to the ill effects of fine dust which could prove fatal to them. Hence, we need to study the root cause of fine dust emergence and the correlation verification between fine dust and its side effects. This study firstly analyzed clean and contaminated areas classified by industrial elements. We utilized air, weather and industrial data in the area. Next, we detected a change of fine dust in terms of weather and climate. We analyzed correlation of air and weather by influence from domestic and neighboring country. The result indicated that China is the culprit of the emergence of fine dust predicament. Consequently, we can prove that fine dust ($PM_{10}$) and ultrafine dust ($PM_{2.5}$) could arise from geographical, seasonal, and pollutant elements. Therefore, we propose the optimum to make countermeasures about fine dust in terms of industry, topography, population and living residence.

  • PDF

Estimation of Diffusion Direction and Velocity of PM10 in a Subway Station (For Gaehwasan Station of Subway Line 5 in Seoul) (지하철 역사 미세먼지(PM10)의 확산방향과 확산속도 추정 (서울 지하철 5호선 개화산역을 대상으로))

  • Park, Jong-Heon;Park, Jae-Cheol;Eum, Seong-Jik
    • Journal of Korean Society of Transportation
    • /
    • v.28 no.5
    • /
    • pp.55-64
    • /
    • 2010
  • In order to prepare an efficient solution for PM10 reduction in underground stations, the authors measured PM10 concentration levels every 30 minutes in the concourse, platform, and tunnel of Gaehwasan Station of Seoul's subway line 5. Through a correlation analysis of each changing pattern of PM10 concentration, the direction and velocity of diffusion in underground stations were estimated. The PM10 concentration levels were highest in the tunnel, followed by the platform and concourse. PM10 concentrations in the tunnel, platform, and concourse showed a pattern of increasing in the rush hours and decreasing in the non-rush hours. According to the statistical analysis of PM10 concentrations and changing patterns in each location, the higher PM10 concentration in the tunnel expanded to the platform, and some from the platform expanded to the concourse. Therefore, to efficiently reduce PM10 concentrations, it is essential to detect the centralized generation, diffusion factor, expanding route, expanding measure, and other variables and to remove or reduce the diffusion factor and level. Through operating the ventilation system in the right time frame while the PM10 concentration level increases, the power consumption and peak power consumption can be reduced.

Preliminary Experimental Study for Water Recovery and Particulate Matter Reduction through a Hybrid System that Combines Exhaust Cooling and Absorption from Ships (선박배출 배기냉각과 흡수식이 결합된 하이브리드 시스템을 통한 물 회수 및 미세먼지 저감을 위한 기초실험연구)

  • Youngmin Kim;Donggil Shin;Younghyun Ryu
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.28 no.7
    • /
    • pp.1252-1258
    • /
    • 2022
  • The exhaust gas from the marine engines include a quantity of water vapor and particulate matter. The total particulate matter includes filterable particulate matter (FPM) and condensable particulate matter (CPM) that condense after releasing into the atmosphere. The portion of CPM is higher than that of FPM that is removable through the filter before discharging. An experimental setup for waste heat and water recovery and removal of CPM in the exhaust gas was tested using an industrial gas boiler in the laboratory. The water and CPM in the exhaust gas were removed through the first stage of cooling method and further removed through the second stage of absorption method. The efficiencies of water recovery were 73% after the first stage of cooling method and 90% after the second stage of absorption method. At the same time, the CPM was removed by 80-90% through the processes. The waste heat recovered could be used to process heat, and the water recovered could be used to process water in the ship. Furthermore, the CPM, which is a major source of the particulate matter but not subject to administrative regulation, could be removed effectively.

Development of a Real-time Air-quality Forecasting System Using the Statistical Model (PM-10) (통계모델을 이용한 실시간 오염도 예보 시스템 개발 (PM-10))

  • 구윤서;권희용;윤희영
    • Proceedings of the Korea Air Pollution Research Association Conference
    • /
    • 2003.11a
    • /
    • pp.445-446
    • /
    • 2003
  • 대기오염물질은 배출되면 인위적으로 제거하는 과정이 용이하지 않을 뿐만 아니라 인체, 자연생태계 및 재산상에 다방면으로 피해를 주는 특성을 가지고 있다. 그중에서도 호흡성 먼지 또는 미세먼지라고 부르고 있는 PM-10은 대기 중 체류시간이 길며 인체에 대한 위해도를 갖고 있으나 최선의 대처 방법은 외출을 삼가하는 등의 미세먼지에 대한 노출을 사전에 방지 하는 방법밖에 없는 것으로 알려져 있다. 따라서 미세먼지에 대한 노출을 사전에 막고 이에 대한 대처를 위하여 미세먼지농도의 예보 및 경보 시스템 체제를 가동해야 할 필요성이 대두되고 있다. (중략)

  • PDF

LSTM-based Particulate Matter prediction for efficient road scattering dust removal path proposal (효율적인 도로 비산먼지 제거 경로 제안을 위한 LSTM 기반 미세먼지 예측)

  • Lim, DongJin;Kim, Taehong;Lee, Ryong;Jung, Hanmin
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2017.11a
    • /
    • pp.1258-1261
    • /
    • 2017
  • 1급 발암물질인 미세먼지 중 44.3%를 차지하고 있는 도로 비산먼지는 효과적인 미세먼지 농도 저감 대책의 방안 중 하나이다. 도로 비산먼지 제거는 일반적으로 특수 차량을 이용, 정해진 경로와 주기에 따라 운행된다. 이러한 운행방식은 도로의 오염 현황에 따른 효과적 경로 선정 및 운영이 어렵다. 본 논문에서는 도로 비산먼지 제거의 효율적인 경로 제안을 위해 대구지역에 분포된 KISTI 이동형 도시센싱 테스트베드에서 수집되는 고해상도의 실시간 지역별 오염 현황 데이터를 활용하여 실시간 오염도를 분석하고, LSTM(LONG SHORT-TERM MEMORY) 알고리즘을 활용하여 미래의 미세먼지 농도를 예측하였다. 기존 연구와 달리 지역별 상황을 고려한 데이터를 사용하여 선형 회귀 분석을 수행하였다. 실험 결과, 시간 속성을 고려한 LSTM이 MLP 보다 평균 제곱근 오차 값이 경우에 따라 최대 30% 더 작음을 확인했다. 본 연구를 기반으로 고해상도 사물 데이터 기반 예측 연구의 가능성을 보였으며, 미세먼지 예측 결과를 활용 유연하고 효과적인 도로 청소차량의 운행 경로를 설정에 활용될 수 있을 것으로 기대한다.