scholarly journals Variabilitas Kualitas Udara Terhadap Aerosol Bulan Februari 2016-2019

Megasains ◽  
2020 ◽  
Vol 11 (01) ◽  
pp. 36-44
Author(s):  
Tanti Tritama Okaem ◽  
Dodi Saputra ◽  
Fajri Zulgino
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Scattering Coefficient ◽  
Aerosol Scattering ◽  
Pm 10 ◽  
Integrating Nephelometer ◽  
Carbon Particulate

Pengamatan Aerosol merupakan salah satu program pengukuran yang dilakukan di Stasiun Pemantau Atmosfer Global Bukit Kototabang. Penelitian ini bertujuan untuk mengetahui tren konsentrasi Aerosol (Black Carbon, Particulate Matter (PM10) dan Scattering Coefficient) di Stasiun Pemantau Atmosfer Global Bukit Kototabang dan untuk melakukan penelitian terhadap dampak kemunculan titik panas di Sumatera dengan pemantauan Aerosol. Penelitian ini dilakukan menggunakan data pengamatan pada bulan Februari 2016-2019. Metode yang digunakan yaitu dengan pengamatan yang dilakukan selama 24 jam melalui instrumen Catcos Magee Scientific Aethalometer untuk pengamatan Black Carbon, BAM 1020 untuk pengamatan PM10, Ecotech M9003 Integrating Nephelometer untuk pengamatan Scattering Coefficient dan pantauan titik panas (hotspot) di pulau Sumatera diambil dari data harian titik panas dari Satelit MODIS (Terra, Aqua, dan SNPP) dengan tingkat kepercayaan diatas 70%. Hasil penelitian ini menunjukan konsentrasi PM 10 dan Aerosol Scattering Coeficient  meningkat pada Februari 2019 dengan bertambahnya jumlah titik panas yaitu 367 titik dan arah pergerakan angin dominan dari timur dan timur laut. Sedangkan peningkatan titik panas pada tahun 2018 meningkatkan konsentrasi Black Carbon dan PM10

Associations between black carbon, particulate matter, combustion-derived particles and ischemic heart disease

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Leo Stockfelt* ◽  
Eva Andersson ◽  
Peter Molnár ◽  
Lars Gidhagen ◽  
Annika Rosengren ◽  
...  
Keyword(s):  
Heart Disease ◽  
Particulate Matter ◽  
Ischemic Heart Disease ◽  
Black Carbon ◽  
Ischemic Heart ◽  
Carbon Particulate

Spatiotemporal Land Use Regression Models of Fine, Ultrafine, and Black Carbon Particulate Matter in New Delhi, India

2013 ◽  
Vol 47 (22) ◽  
pp. 12903-12911 ◽  
Author(s):  
Arvind Saraswat ◽  
Joshua S. Apte ◽  
Milind Kandlikar ◽  
Michael Brauer ◽  
Sarah B. Henderson ◽  
...  
Keyword(s):  
Land Use ◽  
Particulate Matter ◽  
Black Carbon ◽  
Regression Models ◽  
New Delhi ◽  
Land Use Regression ◽  
Carbon Particulate

Analysis of black carbon, particulate matter, and gaseous pollutants in an industrial area in Korea

2011 ◽  
Vol 45 (40) ◽  
pp. 7698-7704 ◽  
Author(s):  
Hee-Jong Yoo ◽  
Jungkon Kim ◽  
Seung-Muk Yi ◽  
Kyung-Duk Zoh
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Industrial Area ◽  
Gaseous Pollutants ◽  
Carbon Particulate

Ambient black carbon particulate matter in the coal region of Dhanbad, India

2018 ◽  
Vol 615 ◽  
pp. 955-963 ◽  
Author(s):  
S. Singh ◽  
S. Tiwari ◽  
P.K. Hopke ◽  
C. Zhou ◽  
J.R. Turner ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Black Carbon ◽  
Carbon Particulate ◽  
Coal Region

Exercise Performed Concomitantly with Particulate Matter Exposure Inhibits Lung Injury

2017 ◽  
Vol 39 (02) ◽  
pp. 133-140 ◽  
Author(s):  
Adriano Silva-Renno ◽  
Guilherme Baldivia ◽  
Manoel Oliveira-Junior ◽  
Maysa Brandao-Rangel ◽  
Elias El-Mafarjeh ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Systemic Inflammation ◽  
Air Pollutants ◽  
Lung Parenchyma ◽  
Treadmill Training ◽  
Tnf Alpha ◽  
Systemic Response ◽  
Pm 2.5 ◽  
Pm 10 ◽  
Particulate Matter Exposure

AbstractAir pollution is a growing problem worldwide, inducing and exacerbating several diseases. Among the several components of air pollutants, particulate matter (PM), especially thick (10–2.5 µm; PM 10) and thin (≤2.5 µm; PM 2.5), are breathable particles that easily can be deposited within the lungs, resulting in pulmonary and systemic inflammation. Although physical activity is strongly recommended, its effects when practiced in polluted environments are questionable. Therefore, the present study evaluated the pulmonary and systemic response of concomitant treadmill training with PM 2.5 and PM 10 exposure. Treadmill training inhibited PM 2.5- and PM 10-induced accumulation of total leukocytes (p<0.001), neutrophils (p<0.001), macrophages (p<0.001) and lymphocytes (p<0.001) in bronchoalveolar lavage (BAL), as well as the BAL levels of IL-1beta (p<0.001), CXCL1/KC (p<0.001) and TNF-alpha (p<0.001), whereas it increased IL-10 levels (p<0.05). Similar effects were observed on accumulation of polymorphonuclear (p<0.01) and mononuclear (p<0.01) cells in the lung parenchyma and in the peribronchial space. Treadmill training also inhibited PM 2.5- and PM 10-induced systemic inflammation, as observed in the number of total leukocytes (p<0.001) and in the plasma levels of IL-1beta (p<0.001), CXCL1/KC (p<0.001) and TNF-alpha (p<0.001), whereas it increased IL-10 levels (p<0.001). Treadmill training inhibits lung and systemic inflammation induced by particulate matter.

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