The representative day |
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| Institution: | 1. Image Analysis Group – CoRFiLaC (Consorzio Ricerca Filiera Lattiero-Casearia), Ragusa, Italy;2. Microscopy Group – CoRFiLaC (Consorzio Ricerca Filiera Lattiero-Casearia), Ragusa, Italy;1. Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, Pirassununga, SP, Brazil;2. Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Pirassununga, SP, Brazil;3. Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Évora, Portugal;1. School of Transportation, Southeast University, Nanjing 211189, China;2. Research Unit Off-Grid Systems, Reiner Lemoine Institute GmbH, Berlin Germany;3. Department of Energy and Built Environment, Dalarna University, Falun 79188, Sweden;1. Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, South Korea;2. Division of Architecture & Urban Design, Incheon National University, Incheon 22012, South Korea;3. Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, South Korea |
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| Abstract: | The work presents a daily trend of pollutant concentrations, referred to as the “representative day”, i.e. the day for which the overal sum of the mean-square differences between its concentration, averaged within each hour, and the concentrations for all other days at the same hour, is a minimum. The approach also allows the identification of the “least representative day” (the daily series that maximises the mean sum of squared residuals), which usually indicates an anomalous situation in pollutant dispersion, characterised by concentration maxima at the ground. |
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