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Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach.

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Title: Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach.
Authors: Veratti, Giorgio1, giorgio.veratti@unimore.it, Bigi, Alessandro1, Lupascu, Aurelia2, Butler, Tim M.2, Ghermandi, Grazia1
Source: Atmospheric Environment; Sep2021, Vol. 261, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 151629875
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach.
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  Data: <searchLink fieldCode="AU" term="%22Veratti%2C+Giorgio%22">Veratti, Giorgio</searchLink><relatesTo>1</relatesTo>, <i>giorgio.veratti@unimore.it</i><br /><searchLink fieldCode="AU" term="%22Bigi%2C+Alessandro%22">Bigi, Alessandro</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lupascu%2C+Aurelia%22">Lupascu, Aurelia</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Butler%2C+Tim+M%2E%22">Butler, Tim M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Ghermandi%2C+Grazia%22">Ghermandi, Grazia</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Environment%22">Atmospheric Environment</searchLink>; Sep2021, Vol. 261, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=151629875
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.atmosenv.2021.118566
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      – Code: eng
        Text: English
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        StartPage: N.PAG
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      – TitleFull: Urban population exposure forecast system to predict NO2 impact by a building-resolving multi-scale model approach.
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            NameFull: Veratti, Giorgio
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            NameFull: Butler, Tim M.
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            – D: 15
              M: 09
              Text: Sep2021
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              Y: 2021
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              Value: 261
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