The complexity of atmospheric corrosion prediction in Mauritius, due to the influence of trade winds and mountainous landscapes, presents a hurdle in building a more resilient infrastructural system. In the absence of a corrosion map, the corrosion rate at a specific location is difficult to estimate. To achieve the UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure), an attempt is made to map the corrosivity of the whole country through regression modelling techniques and consideration of the factors affecting corrosion behaviour in the region. Previous field tests have recently been complemented with additional outdoor exposures to give a whole picture of the corrosivity of the Mauritian atmosphere. In this study, the relevant environmental data and known corrosion rates of carbon steel in specific locations are used to develop a corrosion map of the island as a vector data model depicting zones of specific ISO 9223 corrosivity categories.
AdeotiTFantiniCMorganG, et al.Infrastructure for Small Island Developing States The role of infrastructure in enabling sustainable, resilient and inclusive development in SIDS. https:// www.unops.org (2020).
2.
AdsheadDRomán GarcíaOThackerS,et al.Infrastructure strategies for achieving the global development agendas in small islands. Earth's Future2021; 9: 1–20.
3.
CorvoFHacesCBetancourtN, et al.Atmospheric corrosivity in the Caribbean area. Corros Sci1997; 39: 823–833.
4.
SurnamBYRKatimMH. Corrosion in Bridges in Mauritius. In: CORCON, New Delhi, 2013.
5.
AlcántaraJde la FuenteDChicoB, et al.Marine atmospheric corrosion of carbon steel: a review. Materials2017; 10: 406.
6.
MorcilloMChicoBAlcántaraJ, et al.Atmospheric corrosion of mild steel in chloride-rich environments. Questions to be answered. Mater Corrosion2015; 66: 882–892.
7.
MorcilloMChicoBMariacaL,et al.Salinity in marine atmospheric corrosion: its dependence on the wind regime existing in the site. Corros Sci2000; 42: 91–104.
8.
SeechurnYWhartonJASurnamBYR. Mechanistic modelling of atmospheric corrosion of carbon steel in Port-Louis by electrochemical characterisation of rust layers. Mater Chem Phys2022; 291: 126694.
9.
SeechurnYSurnamBYRWhartonJA. Marine atmospheric corrosion of carbon steel in the tropical microclimate of Port Louis. Mater Corros2022; 73: 1474–1489.
10.
SeechurnYSurnamBYRWhartonJA. Marine atmospheric corrosion of carbon steel in Mauritius. Mater Today Proc2023. (In press).
11.
SurnamBYR. Three years outdoor exposure of low carbon steel in Mauritius. Anti-Corros Methods Mater2015; 62: 246–252.
12.
SurnamBYROletiCV. Atmospheric corrosion in Mauritius. Corros Eng Sci Technol2012; 47: 446–455.
13.
MaYLiYWangF. The atmospheric corrosion kinetics of low carbon steel in a tropical marine environment. Corros Sci2010; 52: 1796–1800.
14.
GuerraJCCastañedaACorvoF, et al.Atmospheric corrosion of low carbon steel in a coastal zone of Ecuador: anomalous behavior of chloride deposition versus distance from the sea. Mater Corros2019; 70: 444–460.
15.
Corvo PerezF. Atmospheric corrosion of steel in a humid tropical climate – influence of pollution, humidity, temperature, solar radiation and rainfall. Corrosion1984; 40: 170–175.
16.
IvaskovaMKotesPBrodnanM. Air pollution as an important factor in construction materials deterioration in Slovak Republic. Procedia Eng2015; 108: 131–138.
17.
BS EN ISO 8407. Corrosion of metals and alloys – removal of corrosion products from corrosion test specimens. BSI Standards Limited, 2014.
18.
BS EN ISO 9223. Corrosion of metals and alloys – corrosivity of atmospheres – classification, determination and estimation. BSI Standards Limited, 2012, 26 p.
19.
BS EN ISO 9224. Corrosion of metals and alloys – corrosivity of atmospheres – guidance values for the corrosvity categories. BSI Standards Limited, 2012.
20.
BS EN ISO 9225. Corrosion of metals and alloys – corrosivity of atmospheres – measurement of environmental parameters. BSI Standards Publication. BSI Standards Limited, 2012.
21.
SantaACTamayoJACorreaCD, et al.Atmospheric corrosion maps as a tool for designing and maintaining building materials: a review. Heliyon2022; 8: e10438.
22.
BrownDGRioloRRobinsonDT, et al.Spatial process and data models: toward integration of agent-based models and GIS. J Geogr Syst2005; 7: 25–47.
23.
ColeISChanWYTrinidadGS,et al.Holistic model for atmospheric corrosion part 4 - geographic information system for predicting airborne salinity. Corros Eng Sci Technol2004; 39: 89–96.
24.
de Haga HaigMH. The physical features and geology of Mauritius. Quart J Geol Soc1985; 51: 463–471.
25.
ColeISPatersonDAGantherWD. Holistic model for atmospheric corrosion. Part 1 – theoretical framework for production, transportation and deposition of marine salts. Corros Eng Sci Technol2003; 38: 129–134.
26.
ColeISGantherWDPatersonDA, et al.Holistic model for atmospheric corrosion. Part 2 – experimental measurement of deposition of marine salts in a number of long range studies. Corros Eng Sci Technol2003; 38: 259–266.
27.
HaoWXuLChenX, et al.Classification and spatial mapping of atmospheric corrosion of China. Npj Mater Degrad2022; 6: 1–8.
28.
ColeISPatersonDAGantherWD, et al.Holistic model for atmospheric corrosion Part 3 - effect of natural and manmade landforms on deposition of marine salts in Australia and South-East Asia. Corros Eng Sci Technol2003; 38: 267–274.
