R Language: Statistical Computing and Graphics for Modeling Hydrologic Time Series

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Abstract

The analysis and management of Hydrology time series is used for the development of models that allow predictions on future evolutions. After identifying the trends and the seasonal components, a residual analysis can be done to correlate them and make a prediction based on a statistical model. Programming language R contains multiple packages for time series analysis: ‘hydroTSM’ package is adapted to the time series used in Hydrology, package ‘TSA’ is used for general interpolation and statistical analysis, while the ‘forecast’ package includes exponential smoothing, all having outstanding capabilities in the graphical representation of time series. The purpose of this paper is to present some applications in which we use time series of precipitation and temperature from Fagaras in the time period 1966-1982. The data was analyzed and modeled by using the R language.

References

  • [1] Sayemuzzaman, M., Jha, MK. (2014). Seasonal and annual precipitation time series trend analysis in North Carolina, Atmospheric Research, Volume 137, pp 183-194. http://dx.doi.org/10.1016/j.atmosres.2013.10.012

  • [2] IPCC Fifth Assessment Report: Climate Change. (2013) , http://www.ipcc.ch/report/ar5/

  • [3] Climate change Romania, http://www.climateadaptation.eu/romania/climate-change/

  • [4] Raport de mediu-Plan Urbanistic General Municipiul Fagaras, http://www.primaria-fagaras.ro/urbanism/PUG-2013/raport%20mediu%20revizuit%20mai%202013.pdf

  • [5] The Comprehensive R Archive Network. http://cran.r-project.org/

  • [6] Cryer, J. D., Chan, K-S. (2008).Time Series Analysis with Applications in R, Springer

  • [7] Brockwell, P. J., Davis R. A. (2002). Introduction to Time Series and Forecasting. Springer-Verlag New York, Inc

  • [8] Ljung, G. M.; Box, G. E. P. (1978). On a Measure of a Lack of Fit in Time Series Models. Biometrika 65 (2), pp 297-303.

  • [9] Barbulescu A., Deguenon, J. (2011). Mathematical models for extreme monthly precipitation, Ovidius University Annals, Series: Civil Engineering, issue 13, pp. 93 - 104, http://revista-constructii.univovidius.ro/doc/anale/2011.pdf

  • [10] Cowpertwait, P. S.P. (2006). Introductory Time Series with R, Springer Science+Business media

  • [11]Coghlan, A. (2014). Using R for Time Series Analysis, https://media.readthedocs.org/pdf/a-little-book-of-r-fortime-series/latest/a-little-book-of-r-for-time-series.pdf

  • [12] Miroiu, M., Petrehus, V., Zbaganu G. (2008-2011): Initiere in R pentru persoane cu pregatire matematica, POSDRU/56/1.2/S/32768

Mathematical Modelling in Civil Engineering

The Journal of Technical University of Civil Engineering of Bucharest

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