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Analysis of institutional authors

Ordieres-Mere, JCorresponding Author

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Predicting Ground Level Ozone in Marrakesh by Machine-Learning Techniques

Publicated to:Journal Of Environmental Informatics. 36 (2): 93-106 - 2020-12-01 36(2), DOI: 10.3808/jei.202000437

Authors: Ordieres-Mere, J; Ouarzazi, J; El Johra, B; Gong, B

Affiliations

Direct Meteorol Natl Casablanca, Casablanca 20240, Morocco - Author
Forschungszentrum Julich, Julich Supercomp Ctr, D-52425 Julich, Germany - Author
Univ Cadi Ayyad, Fac Sci Semlalia Marrakech, CNRST URAC 20, Marrakech 40001, Morocco - Author
Univ Politecn Madrid, Escuela Tecn Super Ingn Ind, Madrid 28006, Spain - Author

Abstract

This study was undertaken to produce local, short-term, artificial intelligence-based models that estimate the ozone level with special attention to the relationship between diurnal and nocturnal ozone variations of some primary pollutants and meteorologyical parameters in the city of Marrakesh, Morocco. Hourly data has been collected from the three air-quality monitoring stations in the city. This paper seeks to analyze the main factors that are associated with ozone formation, including the generation of different daytime and nighttime scenarios. The present work extends existing publications about the region by developing ozone prediction models from meteorological variables and primary pollutants. Several experiments were conducted to verify properties of the produced models, thus making it possible not only to describe but also to predict ozone pollution in this geographical area. The findings facilitate 48 hour forecasts that have root mean square errors as low as 20 g/m(3). Our results highlight the importance of using such models for civil applications.

Keywords

Air-pollutionAreaMachine learningMarrakeshModelNonlinear modelsOzone diurnal concentrationOzone nocturnal concentrationOzone pollutionPeaksQualityStateUrban air

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Environmental Informatics due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position 63/274, thus managing to position itself as a Q1 (Primer Cuartil), in the category Environmental Sciences.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-06-15:

  • Google Scholar: 17
  • WoS: 15

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Germany; Morocco.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ORDIERES MERE, JOAQUIN BIENVENIDO) .

the author responsible for correspondence tasks has been ORDIERES MERE, JOAQUIN BIENVENIDO.