Mapping Atmospheric Corrosion on Materials of Archaeological Importance in Athens

Kambezidis, H. D.; Kalliampakos, George

doi:10.1007/s11270-011-1013-4

Cited by 5 publications

(4 citation statements)

References 25 publications

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“…Climate change in conjunction with environmental protection dictates the necessity for comprehensive actions and enhanced research activities in environmental issues [1][2][3]. Climatological maps are very promising scientific tools in the reconstruction of long-term environmental conditions occurring at different geographical areas; such maps can help local authorities to issue appropriate environmental policies (e.g., [4]). In the past, many research efforts for studying the climatic conditions in Greece have been made, but they were either focusing on a single site (e.g., Athens in [5,6]) or investigating a single climatological parameter at a time (e.g., temperature in [7][8][9], precipitation in [10][11][12]).…”

Section: Introductionmentioning

confidence: 99%

Fire-Risk Assessment in Northern Greece Using a Modified Fosberg Fire-Weather Index That Includes Forest Coverage

Kambezidis

Kalliampakos

2016

International Journal of Atmospheric Sciences

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The spatial distribution of the monthly mean values for various climatological parameters in Northern Greece is derived. The corresponding data come from measurements at several meteorological stations located in Central Macedonia, Eastern Macedonia, and Thrace (CM/EMT) area in the period 1975-1997. The collected data concern high temperature and low relative humidity, as well as local forest coverage, and are utilized for the calculation of a modified Fosberg Fire-Weather Index in order to estimate the fire risk over Northern Greece due to the local weather under critical conditions. As a result, monthly fire-risk maps of the CM/EMT area for the months of May to October are derived for the first time by applying sophisticated analytical geospatial tools and methods. Furthermore, fire events corresponding to the same region and period are added to the derived maps for comparison and for a better evaluation of the method. The resulting correspondence of the predicted fire risk to the local wind-speed behavior and forest abundance demonstrates the need of the necessary precaution measures to limit the future danger levels from fire events.

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Section: Introductionmentioning

confidence: 99%

Fire-Risk Assessment in Northern Greece Using a Modified Fosberg Fire-Weather Index That Includes Forest Coverage

Kambezidis

Kalliampakos

2016

International Journal of Atmospheric Sciences

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“…At present, researchers have proved the influence of many elemental and environmental factors on metal’s corrosion behavior; many atmospheric corrosion mechanisms have been established [ 5 , 6 ]. Temperature and relative humidity provide conditions for the formation of a wet electrochemical corrosion environment on the surface of metals [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based Models

2020

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As one of the factors (e.g., material properties, surface quality, etc.) influencing the corrosion processes, researchers have always been exploring the role of environmental factors to understand the mechanism of atmospheric corrosion. This study proposes a random forest algorithm-based modeling method that successfully maps both the steel’s chemical composition and environmental factors to the corrosion rate of low-alloy steel under the corresponding environmental conditions. Using the random forest models based on the corrosion data of three different atmospheric environments, the environmental factors were proved to have different importance sequence in determining the environmental corrosivity of open and sheltered exposure test conditions. For each exposure test site, the importance of environmental features to the corrosion rate is also ranked and analyzed. Additionally, the feasibility of the random forest model to predict the corrosion rate of steel samples in the new environment is also demonstrated. The volume and representativeness of the corrosion data in the training data are considered to be the critical factors in determining its prediction performance. The above results prove that machine learning provides a useful tool for the analysis of atmospheric corrosion mechanisms and the evaluation of corrosion resistance.

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“…Further, atmospheric corrosion studies are extended to vital archaeological structures [20]. This experimental study is conducted in the Greater Athens Area for three materials in sheltered and unsheltered conditions, and corrosion trends are evaluated for 10 years and spatially mapped them.…”

Section: Introductionmentioning

confidence: 99%

Assessment and spatial mapping of atmospheric corrosion amelioration using empirical equation considering environmental parameters

Kumar

Sil

2020

Corrosion Engineering, Science and Technology

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Atmospheric corrosion is a natural surface deterioration process of the ferrous metal (steel) owing to electrochemical process with the variation of highly sensitive atmospheric parameters surrounding the metal. A global empirical model developed for estimating short-and long-term atmospheric corrosion rates by establishing empirical coefficients statistically (with R 2 = 0.99) having 95% confidence limit. It predicts atmospheric corrosion, based on the corrosion formation mechanisms and the combined impact of the environmental parameters and further abates the location and time limitations. Corrosion studies are performed for 39 years of atmospheric data collected in the study area. Environmental parameters changes in the study area over the four decades are observed and corrosion map for each decade in total 39 years data based corrosion map prepared using the developed empirical equation. The developed empirical equation closely predicts atmospheric corrosion for the experimental datasets collected at 88 different continental locations while the ISO exhibits uncertainty.

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Mapping Atmospheric Corrosion on Materials of Archaeological Importance in Athens

Cited by 5 publications

References 25 publications

Fire-Risk Assessment in Northern Greece Using a Modified Fosberg Fire-Weather Index That Includes Forest Coverage

Fire-Risk Assessment in Northern Greece Using a Modified Fosberg Fire-Weather Index That Includes Forest Coverage

Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based Models

Assessment and spatial mapping of atmospheric corrosion amelioration using empirical equation considering environmental parameters

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