Satellite Sensed Data-Dose Response Functions: A Totally New Approach for Estimating Materials’ Deterioration from Space

Author:

Kouremadas Georgios1,Christodoulakis John12ORCID,Varotsos Costas1ORCID,Xue Yong34

Affiliation:

1. Climate Research Group, Section of Environmental Physics and Meteorology, Faculty of Physics, National & Kapodistrian University of Athens, GR-15784 Athens, Greece

2. Department of Science and Mathematics, School of Liberal Arts and Sciences, The American College of Greece, GR-15342 Aghia Paraskevi, Greece

3. Emergency Management College, Nanjing University of Information Science & Technology, Nanjing 210044, China

4. Department of Electronics, Computing and Mathematics, College of Science & Engineering, University of Derby, Derby DE22 1GB, UK

Abstract

When construction materials are exposed to the atmospheric environment, they are subject to deterioration, which varies according to the time period of exposure and the location. A tool named Dose–Response Functions (DRFs) has been developed to estimate this deterioration. DRFs use specific air pollutants and climatic parameters as input data. Existing DRFs in the literature use only ground-based measurements as input data. This fact constitutes a limitation for the application of this tool because it is too expensive to establish and maintain such a large network of ground-based stations for pollution monitoring. In this study, we present the development of new DRFs using only satellite data as an input named Satellite Sensed Data Dose-Response Functions (SSD-DRFs). Due to the global coverage provided by satellites, this new tool for monitoring the corrosion/soiling of materials overcomes the previous limitation because it can be applied to any area of interest. To develop SSD-DRFs, we used measurements from MODIS (Moderate Resolution Imaging Spectroradiometer) and AIRS (Atmospheric Infrared Sounder) on board Aqua and OMI (Ozone Monitoring Instrument) on Aura. According to the obtained results, SSD-DRFs were developed for the case of carbon steel, zinc, limestone and modern glass materials. SSD-DRFs are shown to produce more reliable corrosion/soiling estimates than “traditional” DRFs using ground-based data. Furthermore, research into the development of the SSD-DRFs revealed that the different corrosion mechanisms taking place on the surface of a material do not act additively with each other but rather synergistically.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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