Academic literature on the topic 'Weather induced rail temperature'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Weather induced rail temperature.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Weather induced rail temperature"
Caprio, J. M., and H. A. Quamme. "Influence of weather on apricot, peach and sweet cherry production in the Okanagan Valley of British Columbia." Canadian Journal of Plant Science 86, no. 1 (January 1, 2006): 259–67. http://dx.doi.org/10.4141/p05-032.
Full textByun, Do-Seong, Yang-Ki Cho, In-Ae Huh, and Deirdre E. Hart. "Runoff-induced vertical thermal dynamics in a canyon-shaped reservoir during the summer monsoon." Marine and Freshwater Research 56, no. 7 (2005): 959. http://dx.doi.org/10.1071/mf04285.
Full textTardif, Robert, and Roy M. Rasmussen. "Process-Oriented Analysis of Environmental Conditions Associated with Precipitation Fog Events in the New York City Region." Journal of Applied Meteorology and Climatology 47, no. 6 (June 1, 2008): 1681–703. http://dx.doi.org/10.1175/2007jamc1734.1.
Full textWang, Xuemei, Jingbiao Liao, Jian Zhang, Chong Shen, Weihua Chen, Beicheng Xia, and Tijian Wang. "A Numeric Study of Regional Climate Change Induced by Urban Expansion in the Pearl River Delta, China." Journal of Applied Meteorology and Climatology 53, no. 2 (February 2014): 346–62. http://dx.doi.org/10.1175/jamc-d-13-054.1.
Full textHuang, Jingfeng, Chidong Zhang, and Joseph M. Prospero. "Aerosol-Induced Large-Scale Variability in Precipitation over the Tropical Atlantic." Journal of Climate 22, no. 19 (October 1, 2009): 4970–88. http://dx.doi.org/10.1175/2009jcli2531.1.
Full textGreco, Aldo, Davide Luciano De Luca, and Elenio Avolio. "Heavy Precipitation Systems in Calabria Region (Southern Italy): High-Resolution Observed Rainfall and Large-Scale Atmospheric Pattern Analysis." Water 12, no. 5 (May 21, 2020): 1468. http://dx.doi.org/10.3390/w12051468.
Full textChubb, Thomas, Michael J. Manton, Steven T. Siems, Andrew D. Peace, and Shane P. Bilish. "Estimation of Wind-Induced Losses from a Precipitation Gauge Network in the Australian Snowy Mountains." Journal of Hydrometeorology 16, no. 6 (November 17, 2015): 2619–38. http://dx.doi.org/10.1175/jhm-d-14-0216.1.
Full textWinchester, Chevelle R., Priya Batta, Dhillon Davinder, and Alan R. Hirsch. "97 My Inner Blizzard: Effect of Weather on Multiple Sclerosis Exacerbation." CNS Spectrums 24, no. 1 (February 2019): 223. http://dx.doi.org/10.1017/s1092852919000890.
Full textKolusu, S. R., J. H. Marsham, J. Mulcahy, B. Johnson, C. Dunning, M. Bush, and D. V. Spracklen. "Impacts of Amazonia biomass burning aerosols assessed from short-range weather forecasts." Atmospheric Chemistry and Physics Discussions 15, no. 13 (July 10, 2015): 18883–919. http://dx.doi.org/10.5194/acpd-15-18883-2015.
Full textMbokodo, Innocent L., Mary-Jane M. Bopape, Thando Ndarana, Sifiso M. S. Mbatha, Tshimbiluni P. Muofhe, Mukovhe V. Singo, Nkosinathi G. Xulu, Tumelo Mohomi, Kingsley K. Ayisi, and Hector Chikoore. "Heatwave Variability and Structure in South Africa during Summer Drought." Climate 11, no. 2 (February 5, 2023): 38. http://dx.doi.org/10.3390/cli11020038.
Full textDissertations / Theses on the topic "Weather induced rail temperature"
(13966684), Ying M. Wu. "Development of rail temperature prediction model and software." Thesis, 2011. https://figshare.com/articles/thesis/Development_of_rail_temperature_prediction_model_and_software/21344169.
Full textThe railway track buckling occurs all over the world due to inadequate rail stress adjustment, which is greatly influenced by the variation in weather induced rail temperature and the rigidity of the track structure. Climate change and the ever increase in extreme changes in temperatures have made buckling an ever more prevalent problem in the railway industry. The ultimate goal of any research in the area of track stability management is to comprehensively manage rail buckling and the subsequent procedures that follow after buckling. The first step to have a clear understanding of how the temperature change of the rail track is influenced by the environmental conditions. The second step is to have an accurate prediction of what the environmental conditions will be in the next day so that management procedure can be put into place.
This study aims to develop a model and software that is capable of predicting rail temperature 24 hours in advance that is as accurate for use in the rail buckling management. Two distinct and separate mathematical manipulations are performed to achieve this goal.
One method used weather forecasts from the Australian Bureau of Meteorology (BoM) and forecasts the weather for the location that the rail is situated. This involves using 3-dimensional cubic interpolation that is the weather parameters are interpolated in 2-dimensions geographically and then 1-dimensionally through time. An interactive software is written in MATLAB to convert the BoM raw data into a rail temperature forecast for this study. The result is a 15 -minute forecast for every 3.06 km. The second method used multivariate linear regression, to predict the rail temperatures 24 to 48 hours in advance.
To validate the rail temperature predications, 3 months field test spanning June, July and August 2010, is conducted on Queensland Rail's (QR) coal network, this involved erecting an automated weather station (AWS) and adhering temperature sensors on to a section of track. The guidelines of World Meteorological Organization's (WMO) were followed for implementation of the AWS on site (WMO 2008). The AWS model WXT520 , produced by Vaisala (Vaisala 2009) was used in this study which an off the shelf product that is similar to what some rail compaies are already using for continues monitoring of critical sites.
The temperature sensors (surface thermocouples) and an off the shelf product Salient system's rail -stress modules are used to measure rail surface temperatures on both rails of the track (Salient Systems Inc 2009). The sensors were attached to the surface of the rail track to directly measure temperature change of the rail profile throughout the diurnal cycle. Statistical correlations between the different measured points of the rail profile are evaluated in relation to the diurnal cycle to assess the accuracy of current rail temperature measuring practices.
Statistical evaluation of how well the BoM predictions compare with weather parameters at the field experimentation site are performed, so too is a statistical evaluation of the accuracy of the rail temperature model developed. The prediction model is compared with the existing empirical methods as found in the literature review and an assessment of track conditions. This is a flag ship study in Australia; the main purpose of this study is to prove in a test case scenario that a rail temperature forecast without use of weather instrumentation is possible and the accuracy of the prediction is as good if not better than the instrumentation calculation.
Book chapters on the topic "Weather induced rail temperature"
Di Napoli, Claudia, Alessandro Messeri, Martin Novák, João Rio, Joanna Wieczorek, Marco Morabito, Pedro Silva, Alfonso Crisci, and Florian Pappenberger. "The Universal Thermal Climate Index as an Operational Forecasting Tool of Human Biometeorological Conditions in Europe." In Applications of the Universal Thermal Climate Index UTCI in Biometeorology, 193–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76716-7_10.
Full textHan, Qinmei, Wei Xu, and Peijun Shi. "Mapping Global Population Exposure to Heatwaves." In Atlas of Global Change Risk of Population and Economic Systems, 95–102. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6691-9_6.
Full textM. Bastías, Richard, and Alexandra Boini. "Apple Production under Protective Netting Systems." In Apple Cultivation - Recent Advances [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.109429.
Full textBurt, Stephen, and Tim Burt. "Climate change in Durham." In Durham Weather and Climate since 1841, 273–92. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198870517.003.0021.
Full textBurt, Stephen, and Tim Burt. "Climate change in Oxford." In Oxford Weather and Climate since 1767, 251–70. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198834632.003.0024.
Full textWilson, Miles P., Gillian R. Foulger, Christopher Saville, Samuel P. Graham, and Bruce R. Julian. "Earthquake weather and climate change: Should we stress about the forecast?" In In the Footsteps of Warren B. Hamilton: New Ideas in Earth Science. Geological Society of America, 2022. http://dx.doi.org/10.1130/2021.2553(15).
Full textAmare, Zerihun Yohannes. "Climate Change and Crop Production in Africa." In Research Anthology on Environmental and Societal Impacts of Climate Change, 1293–302. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3686-8.ch063.
Full textAmare, Zerihun Yohannes. "Climate Change and Crop Production in Africa." In Practice, Progress, and Proficiency in Sustainability, 204–12. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4817-2.ch013.
Full textConference papers on the topic "Weather induced rail temperature"
Bruzek, Radim, Larry Biess, Leopold Kreisel, and Leith Al-Nazer. "Rail Temperature Prediction Model and Heat Slow Order Management." In 2014 Joint Rail Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/jrc2014-3767.
Full textBruzek, Radim, Larry Biess, and Leith Al-Nazer. "Development of Rail Temperature Predictions to Minimize Risk of Track Buckle Derailments." In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2451.
Full textPhillips, Robert, Francesco Lanza di Scalea, Claudio Nucera, Mahmood Fateh, and John Choros. "Field Testing of Prototype Systems for the Non-Destructive Measurement of the Neutral Temperature of Railroad Tracks." In 2014 Joint Rail Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/jrc2014-3735.
Full textBruzek, Radim, Michael Trosino, Leopold Kreisel, and Leith Al-Nazer. "Rail Temperature Approximation and Heat Slow Order Best Practices." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5720.
Full textSchladitz, Markus, Robert Adam, and Steffen Großmann. "Calculation of the temperature distribution in heated switch points." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.991.
Full textNucera, Claudio, Robert Phillips, Francesco Lanza di Scalea, Mahmood Fateh, and Gary Carr. "A Wayside System for In-Situ Measurement of Rail Neutral Temperature by Nonlinear Ultrasonic Guided Waves." In ASME 2012 Rail Transportation Division Fall Technical Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/rtdf2012-9407.
Full textPucillo, Giovanni Pio. "Train-Induced Load Effects on the Thermal Track Buckling." In 2019 Joint Rail Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/jrc2019-1276.
Full textKoh, Taehoon, Seonkeun Hwang, Junghoon Yoo, and Donggeun Lee. "Rapid Construction Technology for Railroad Concrete Infrastructure: Microwave Heat Curing Technology." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5704.
Full textKnopf, K., D. C. Rizos, Y. Qian, and M. Sutton. "A Stereovision System for Rail Neutral Temperature Measurements and Effects of the Heating Method." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8119.
Full textWang, Hao, Jiaqi Chen, P. N. Balaguru, and Leith Al-Nazer. "Thermal Benefits of Low Solar Absorption Coating for Preventing Rail Buckling." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5669.
Full textReports on the topic "Weather induced rail temperature"
Venäläinen, Ari, Sanna Luhtala, Mikko Laapas, Otto Hyvärinen, Hilppa Gregow, Mikko Strahlendorff, Mikko Peltoniemi, et al. Sää- ja ilmastotiedot sekä uudet palvelut auttavat metsäbiotaloutta sopeutumaan ilmastonmuutokseen. Finnish Meteorological Institute, January 2021. http://dx.doi.org/10.35614/isbn.9789523361317.
Full text