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On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes

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Abstract

Air pollution assessment in the Tropical Andes requires a multidisciplinary approach. This can be supported from the understanding of the underlying biological dynamics and atmospheric behavior, to the mathematical approach for the proper use of all available information. This review paper touches on several aspects in which mathematical models can help to solve challenging problems regarding air pollution in reviewing the state-of-the-art at the global level and assessing the corresponding state of development as applied to the Tropical Andes. We address the complexities and challenges that modelling atmospheric dynamics in a mega-diverse region with abrupt topography entails. Understanding the relevance of monitoring and facing the problems of data scarcity, we call attention to the usefulness of data assimilation for uncertainty reduction, and how these techniques could help tackle the scarcity of regional monitoring networks to accelerate the implementation and development of modelling systems for air quality in the Tropical Andes. Finally, we suggest a cyberphysical framework for decision-making processes based on the data assimilation of chemical transport models, the forecast of scenarios, and their use in regulation and policy making.

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Funding

This work was financially supported in part by award UN 2018-38 and by the Applied Math and Computer Science Lab at Universidad del Norte, Colombia, also partly supported from the research grant “Data Assimilation Schemes in Colombian Geodynamics - Cooperative Research Plan for 2017–2020 between Universidad EAFIT and TUDelft” made feasible the statements, ideas, and developments.

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  1. Mathematical Modelling Research Group, Universidad EAFIT, Medellín, Colombia

    O. L. Quintero Montoya

  2. Computer Science Department, Universidad del Norte, Barranquilla, Colombia

    Elías D. Niño-Ruiz

  3. Biodiversity Evolution and Conservation, Universidad EAFIT, Medellín, Colombia

    Nicolás Pinel

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  1. O. L. Quintero Montoya
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Montoya, O.L.Q., Niño-Ruiz, E.D. & Pinel, N. On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes. Environ Sci Pollut Res 27, 35993–36012 (2020). https://doi.org/10.1007/s11356-020-08268-4

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