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The impact of climate change on material degradation : finding a feasible approach for climate model evaluation

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Abstract
Understanding how climate change accelerates or slows down the process of material deterioration is the first step towards assessing adaptive approaches for the preservation of historical heritage. Analysis of the climate change effects on the degradation risk assessment parameters like freeze-thaw cycles and salt crystallization is also a key parameter when considering mitigating actions. Due to the vulnerability of cultural heritage in Iran to climate change, the impact of this phenomenon on basic parameters like temperature was analyzed. Choosing an appropriate regional climate model is the first and most crucial step in the analysis of climate change effects on heritage. The outputs of two different regional climate models: the ALARO-0- SURFEX model (Ghent University, Belgium) and the REMO model (HZG-GERICS, Germany) were analyzed to find out which model is more adapted to the region. So the focus of this research is mainly on the evaluation process to find a feasible approach for validation study to determine the reliability of each model. For model validation, a comparison between model data and observations was performed for 30 years from 1980-2017. Besides, some climatic parameters which are likely critical for heritage like freeze-thaw cycles were studied to find out how reliable these models are in the field of building pathology.
Keywords
Iran, Climate Change, Degradation Criteria, Heritage

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MLA
Hedayatnia, Hamed, and Nathan Van Den Bossche. “The Impact of Climate Change on Material Degradation : Finding a Feasible Approach for Climate Model Evaluation.” XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings, edited by C. Serrat et al., International Center for Numerical Methods in Engineering (CIMNE), 2020, doi:10.23967/dbmc.2020.137.
APA
Hedayatnia, H., & Van Den Bossche, N. (2020). The impact of climate change on material degradation : finding a feasible approach for climate model evaluation. In C. Serrat, J. R. Casas, & V. Gilbert (Eds.), XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings. Barcelona: International Center for Numerical Methods in Engineering (CIMNE). https://doi.org/10.23967/dbmc.2020.137
Chicago author-date
Hedayatnia, Hamed, and Nathan Van Den Bossche. 2020. “The Impact of Climate Change on Material Degradation : Finding a Feasible Approach for Climate Model Evaluation.” In XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings, edited by C. Serrat, J. R. Casas, and V. Gilbert. Barcelona: International Center for Numerical Methods in Engineering (CIMNE). https://doi.org/10.23967/dbmc.2020.137.
Chicago author-date (all authors)
Hedayatnia, Hamed, and Nathan Van Den Bossche. 2020. “The Impact of Climate Change on Material Degradation : Finding a Feasible Approach for Climate Model Evaluation.” In XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings, ed by. C. Serrat, J. R. Casas, and V. Gilbert. Barcelona: International Center for Numerical Methods in Engineering (CIMNE). doi:10.23967/dbmc.2020.137.
Vancouver
1.
Hedayatnia H, Van Den Bossche N. The impact of climate change on material degradation : finding a feasible approach for climate model evaluation. In: Serrat C, Casas JR, Gilbert V, editors. XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings. Barcelona: International Center for Numerical Methods in Engineering (CIMNE); 2020.
IEEE
[1]
H. Hedayatnia and N. Van Den Bossche, “The impact of climate change on material degradation : finding a feasible approach for climate model evaluation,” in XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings, Spain, Barcelona, 2020.
@inproceedings{8700896,
  abstract     = {Understanding how climate change accelerates or slows down the process of material deterioration is the first step towards assessing adaptive approaches for the preservation of historical heritage. Analysis of the climate change effects on the degradation risk assessment parameters like freeze-thaw cycles and salt crystallization is also a key parameter when considering mitigating actions. Due to the vulnerability of cultural heritage in Iran to climate change, the impact of this phenomenon on basic parameters like temperature was analyzed. Choosing an appropriate regional climate model is the first and most crucial step in the analysis of climate change effects on heritage. The outputs of two different regional climate models:  the  ALARO-0- SURFEX  model  (Ghent University, Belgium) and the REMO model (HZG-GERICS, Germany) were analyzed to find out which model is more adapted to the region. So the focus of this research is mainly on the evaluation process to find a feasible approach for validation study to determine the reliability of each model. For model validation, a comparison between model data and observations was performed for 30 years from   1980-2017. Besides, some climatic parameters which are likely critical for heritage like freeze-thaw cycles were studied to find out how reliable these models are in the field of building pathology.},
  author       = {Hedayatnia, Hamed and Van Den Bossche, Nathan},
  booktitle    = {XV International Conference on Durability of Building Materials and Components, (DBMC 2020), Proceedings},
  editor       = {Serrat, C. and Casas, J. R. and Gilbert, V.},
  isbn         = {9788412110180},
  keywords     = {Iran,Climate Change,Degradation Criteria,Heritage},
  language     = {eng},
  location     = {Spain, Barcelona},
  pages        = {8},
  publisher    = {International Center for Numerical Methods in Engineering (CIMNE)},
  title        = {The impact of climate change on material degradation : finding a feasible approach for climate model evaluation},
  url          = {http://dx.doi.org/10.23967/dbmc.2020.137},
  year         = {2020},
}

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