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Data Assimilation as a Tool to Improve Chemical Transport Models Performance in Developing Countries

In: Environmental Sustainability - Preparing for Tomorrow

Author

Listed:
  • Santiago Lopez-Restrepo
  • Andres Yarce Botero
  • Olga Lucia Quintero
  • Nicolas Pinel-Pelaez
  • Jhon Edinson Hinestroza
  • Elias David Nino-Ruiz
  • Jimmy Anderson Florez
  • Angela Rendon
  • Monica Lucia Alvarez-Lainez
  • Andres Felipe Zapata-Gonzalez
  • Jose Fernando Duque
  • Elena Montilla-Rosero
  • Andres Pareja Lopez
  • Jean Paul Delgado
  • Jose Ignacio Marulanda Bernal
  • Bibiana Esperanza Boada Sanabria
  • Juan Ernesto Soto
  • Sara Lorduy
  • Jaime Andres Betancur
  • Alejandro Velez Ospina
  • Arnold Heemink

Abstract

Particulate matter (PM) is one of the most problematic pollutants in urban air. The effects of PM on human health, associated especially with PM of

Suggested Citation

  • Santiago Lopez-Restrepo & Andres Yarce Botero & Olga Lucia Quintero & Nicolas Pinel-Pelaez & Jhon Edinson Hinestroza & Elias David Nino-Ruiz & Jimmy Anderson Florez & Angela Rendon & Monica Lucia Alva, 2021. "Data Assimilation as a Tool to Improve Chemical Transport Models Performance in Developing Countries," Chapters, in: Syed Abdul Rehman Khan (ed.), Environmental Sustainability - Preparing for Tomorrow, IntechOpen.
  • Handle: RePEc:ito:pchaps:238259
    DOI: 10.5772/intechopen.97503
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    More about this item

    Keywords

    chemical transport model; air quality; data assimilation; LOTOS-EUROS; low-cost networks;
    All these keywords.

    JEL classification:

    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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