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  • Books  (2)
  • modelling  (2)
  • Basel, Beijing, Wuhan : MDPI  (2)
  • Paris : OECD/IEA (Please request login data at the PIK library)
  • Energy, Environment Protection, Nuclear Power Engineering  (2)
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  • Books  (2)
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  • 1
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: climate ; time of wetness ; climate change ; aerosols ; particle induced corrosion ; chloride-rich atmospheres ; de-icing salts ; impact of atmospheric corrosion on the environment (runoff) ; prediction ; modelling ; degradation and conservation of cultural heritage ; weathering steels ; copper (alloys) ; surface coatings ; worldwide atmospheric corrosion research ; new analytical techniques
    Description / Table of Contents: Nishimura, T. Rust Formation Mechanism on Low Alloy Steels after Exposure Test in High Cl− and High SOx Environmen. Materials 2017, 10(2), 199; doi:10.3390/ma10020199. http://www.mdpi.com/1996-1944/10/2/199 --- Chang, T.; Odnevall Wallinder, I.; de la Fuente, D.; Chico, B.; Morcillo, M.; Welter, J.; Leygraf, C. Analysis of Historic Copper Patinas. Influence of Inclusions on Patina Uniformity. Materials 2017, 10(3), 298; doi:10.3390/ma10030298. http://www.mdpi.com/1996-1944/10/3/298 --- Na, O.; Cai, X.; Xi, Y. Corrosion Prediction with Parallel Finite Element Modeling for Coupled Hygro-Chemo Transport into Concrete under Chloride-Rich Environment. Materials 2017, 10(4), 350; doi:10.3390/ma10040350. http://www.mdpi.com/1996-1944/10/4/350 --- Kreislova, K.; Knotkova, D. The Results of 45 Years of Atmospheric Corrosion Study in the Czech Republic. Materials 2017, 10(4), 394; doi:10.3390/ma10040394. http://www.mdpi.com/1996-1944/10/4/394 --- Alcántara, J.; Fuente, D.; Chico, B.; Simancas, J.; Díaz, I.; Morcillo, M. Marine Atmospheric Corrosion of Carbon Steel: A Review. Materials 2017, 10(4), 406; doi:10.3390/ma10040406. http://www.mdpi.com/1996-1944/10/4/406 --- Hosseinpour, S.; Johnson, M. Vibrational Spectroscopy in Studies of Atmospheric Corrosion. Materials 2017, 10(4), 413; doi:10.3390/ma10040413. http://www.mdpi.com/1996-1944/10/4/413 --- Panchenko, Y.; Marshakov, A. Prediction of First-Year Corrosion Losses of Carbon Steel and Zinc in Continental Regions. Materials 2017, 10(4), 422; doi:10.3390/ma10040422. http://www.mdpi.com/1996-1944/10/4/422 --- Chico, B.; de la Fuente, D.; Díaz, I.; Simancas, J.; Morcillo, M. Annual Atmospheric Corrosion of Carbon Steel Worldwide. An Integration of ISOCORRAG, ICP/UNECE and MICAT Databases. Materials 2017, 10(6), 601; doi:10.3390/ma10060601. http://www.mdpi.com/1996-1944/10/6/601 --- Bouchar, M.; Dillmann, P.; Neff, D. New Insights in the Long-Term Atmospheric Corrosion Mechanisms of Low Alloy Steel Reinforcements of Cultural Heritage Buildings. Materials 2017, 10(6), 670; doi:10.3390/ma10060670. http://www.mdpi.com/1996-1944/10/6/670 --- Tidblad, J.; Kreislová, K.; Faller, M.; de la Fuente, D.; Yates, T.; Verney-Carron, A.; Grøntoft, T.; Gordon, A.; Hans, U. ICP Materials Trends in Corrosion, Soiling and Air Pollution (1987–2014). Materials 2017, 10(8), 969; doi:10.3390/ma10080969. http://www.mdpi.com/1996-1944/10/8/969 --- Cole, I. Recent Progress and Required Developments in Atmospheric Corrosion of Galvanised Steel and Zinc. Materials 2017, 10(11), 1288; doi:10.3390/ma10111288. http://www.mdpi.com/1996-1944/10/11/1288
    Pages: Online-Ressource (X, 262 Seiten)
    Edition: Printed Edition of the Special Issue Published in Materials
    ISBN: 9783038426424
    Language: English
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  • 2
    Unknown
    Basel, Beijing, Wuhan : MDPI
    Keywords: landscape change ; agent-based models ; simulation ; modelling ; spatial ; interdisciplinary ; innovation
    Description / Table of Contents: The use of agent-based models (ABMs) and modelling for understanding landscape change and dynamics continues to grow. One reason for the popularity of ABMs is that they provide a framework to represent multiple, discrete, multi-faceted, heterogeneous actors (human or otherwise) and their relationships and interactions between one another and their environment, through time and across space. This special issue seeks to showcase innovative uses of ABMs for investigating and explaining landscape change and dynamics and to explore and identify how researchers in different disciplines can learn from one another to further innovate. Thus, this special issue will emphasise multidisciplinary dialogue between researchers using ABM in physical geography, hydrology, ecology, land change science, economics, alternative histories, archaeology, sociology, psychology and others. Innovation may come in the form of computational, conceptual, analytical, participatory or epistemological advances in the use of ABM for a range of aims and motivations associated with landscape change and dynamics. Modelling advances may include new ways of representing agent decisions and/or interactions, establishing and evaluating model structures and rules, presenting and visualising change, multi-scale analysis, comparative techniques, narrative methods, and more. The presentation of innovative agent-based modelling from diverse research backgrounds and perspectives will demonstrate opportunities for learning and enable dialogue to enhance future use of ABMs for understanding landscape change.
    Pages: Online-Ressource (XII, 314 Seiten)
    Edition: Printed Edition of the Special Issue Published in Land
    ISBN: 9783038422815
    Language: English
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