KaydedilenlerDerginizi ekleyin

Dergiler / Atmospheric Pollution Research / 2016 / Cilt: 7 - Sayı: 2

SPECIEUROPE: The European data base for PM source profiles

Denise PERNİGOTTİ
Claudio A. BELİS
Luca SPANO
Sayfa
307–314
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Some of the clusters include profiles mainly from one source category (e.g. wood burning) whileothers, such as industrial source profiles, are more heterogeneous and spread over three differentclusters.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:A new database of atmospheric particulate matter emission source profiles in Europe (SPECIEUROPE)developed in the framework of the Forum for air quality modeling in Europe (FAIRMODE, Working Group3) is accessible at the website http://source-apportionment.jrc.ec.europa.eu/Specieurope/index.aspx.
📊
Temel Bulgular & Veri:The first release of SPECIEUROPE consists of 151measured (original), 13 composite (merging different subcategories of similar sources), 6 calculated(from stoichiometric composition) and 39 derived (results of source apportionment studies) profiles.Each profile is related to one or more source categories or subcategories.
💡
Sonuç & Katkı:Some of the clusters include profiles mainly from one source category (e.g. wood burning) whileothers, such as industrial source profiles, are more heterogeneous and spread over three differentclusters.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

A new database of atmospheric particulate matter emission source profiles in Europe (SPECIEUROPE)developed in the framework of the Forum for air quality modeling in Europe (FAIRMODE, Working Group3) is accessible at the website http://source-apportionment.jrc.ec.europa.eu/Specieurope/index.aspx. Itcontains the chemical composition of particulate matter emission sources reported in the scientificliterature and reports drafted by competent authorities. The first release of SPECIEUROPE consists of 151measured (original), 13 composite (merging different subcategories of similar sources), 6 calculated(from stoichiometric composition) and 39 derived (results of source apportionment studies) profiles.Each profile is related to one or more source categories or subcategories. The sources with the highest PMrelative mass toxic pollutants such as PAHs are fuel oil burning, ship emissions, coke burning and woodburning. Heavy metals are most abundant in metal processing activities while halogens are mostlypresent in fertilizer production, coal burning and metallurgic sector. Anhydrosugars are only measured inbiomass and wood burning source categories, because are markers for these categories. The alkalineearth metals are mostly present in road dust, cement production, soil dust and sometimes coal burning.Source categories like traffic and industrial, which contain heterogeneous subcategories, show thegreatest internal variability.The relationships between sources profiles were also explored using a cluster analysis approach basedupon the Standardized Identity Distance (SID) indicator. The majority of profiles are allocated in 8 majorclusters. Some of the clusters include profiles mainly from one source category (e.g. wood burning) whileothers, such as industrial source profiles, are more heterogeneous and spread over three differentclusters.

🔖

Bu Makaleye Atıf Yap

PERNİGOTTİ, D., BELİS, C. A., SPANO, L. (2016). SPECIEUROPE: The European data base for PM source profiles. Atmospheric Pollution Research, Cilt: 7 - Sayı: 2, 307–314. https://ajindex.com/articles/351602

Kaynakça (5)

  1. Agrawal, H., Welch, W.A., Miller, J.W., Cocker, D.R., 2008. Emission measurements from a crude oil tanker at sea. Environ. Sci. Technol. 42, 7098e7103. http:// dx.doi.org/10.1021/es703102y. Alastuey, A., Querol, X., Plana, F., Viana, M., Ruiz, C.R., Campa, A.S. de la, Rosa, J. de la, Mantilla, E., Santos, S.G. dos, 2006. Identification and chemical characterization of industrial particulate matter sources in southwest Spain. J. Air Waste Manag. Assoc. 56, 993e1006. http://dx.doi.org/10.1080/10473289.2006.10464502.
  2. Alleman, L.Y., Lamaison, L., Perdrix, E., Robache, A., Galloo, J.-C., 2010. PM10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone. Atmos. Res. 96, 612e625. http:// dx.doi.org/10.1016/j.atmosres.2010.02.008. Amato, F., Pandolfi, M., Moreno, T., Furger, M., Pey, J., Alastuey, A., Bukowiecki, N., Prevot, A.S.H., Baltensperger, U., Querol, X., 2011. Sources and variability of inhalable road dust particles in three European cities. Atmos. Environ. 45, 6777e6787. http://dx.doi.org/10.1016/j.atmosenv.2011.06.003.
  3. Anderson, G., 2015. Seawater Composition [WWW Document]. MarineBio.net. http://www.marinebio.net/marinescience/02ocean/swcomposition.htm.
  4. Argyropoulos, G., Grigoratos, T., Voutsinas, M., Samara, C., 2013. Concentrations and source apportionment of PM10 and associated elemental and ionic species in a lignite-burning power generation area of southern Greece. Environ. Sci. Pollut. Res. 20, 7214e7230. http://dx.doi.org/10.1007/s11356-013-1721-y.
  5. Belis, C.A., Karagulian, F., Larsen, B.R., Hopke, P.K., 2013. Critical review and metaanalysis of ambient particulate matter source apportionment using receptor models in Europe. Atmos. Environ. 69, 94e108. http://dx.doi.org/10.1016/ j.atmosenv.2012.11.009. Belis, C.A., Karagulian, F., Amato, F., Almeida, M., Artaxo, P., Beddows, D.C.S., Bernardoni, V., Bove, M.C., Carbone, S., Cesari, D., Contini, D., Cuccia, E., Diapouli, E., Eleftheriadis, K., Favez, O., El Haddad, I., Harrison, R.M., Hellebust, S., Hovorka, J., Jang, E., Jorquera, H., Kammermeier, T., Karl, M., Lucarelli, F., Mooibroek, D., Nava, S., Nøjgaard, J.K., Paatero, P., Pandolfi, M., Perrone, M.G., Petit, J.E., Pietrodangelo, A., Pokorna, P., Prati, P., Prevot, A.S.H., Quass, U., Querol, X., Saraga, D., Sciare, J., Sfetsos, A., Valli, G., Vecchi, R., Vestenius, M., Yubero, E., Hopke, P.K., 2015a. A new methodology to assess the performance and uncertainty of source