Construction of a continous stochastic process to simulate motion media flow in Fonce river (San Gil - Santander)

Authors

  • María Esther Rivera Esther Rivera Universidad de Pamplona
  • Javier Adrian Correa Herrera Universidad Militar Nueva Granada
  • Albert Avendaño Barrera Universidad Militar Nueva Granada
  • Hebert Gonzalo Rivera Universidad Militar Nueva Granada
  • Jorge Brandon Fuentes Bacca Universidad Militar Nueva Granada

DOI:

https://doi.org/10.18041/1794-4953/avances.2.264

Keywords:

Event, sigma algebra, random function, stochastic process

Abstract

This research aims to construct a stochastic process in terms of the axiomatic of Kolmogorov. For this purpose, this work uses multiyear monthly average values of flow of river Fonce, which were taken in the IDEAM hydrological station located in San Gil (Santander). Initially the data of monthly mean values of river flows were compiled, then the sample spaces, events, sigma algebras, random variables (total 12, one per month), the probability spaces were defined, and finally the stochastic process. This work leads to the conclusion that it is possible and feasible to build a continuous stochastic process in the monthly average values of Fonce River. This will lead to raise new stochastic interpretations to model the dynamics of the average flow of the river Fonce, in which it could be possible to apply the theory of stochastic differential equations and Fokker-Planck equation or forward Kolmogorov equation. The work was developed under the research project 1770 ING UMNG 2015, with funding of the Investigation´s office and together with the University of Pamplona.

Downloads

Download data is not yet available.

References

Rivera, H. G., Palacio, G. D. C., Rangel G. F. M.(2013). Impacto de los escenarios de cambio climático enlos recursos naturales renovables en jurisdicción de laCorporación Autónoma Regional de Santander.Universidad Nacional de Colombia, Bogotá:Otero Impresos.

Chow, V. T., Maidment, D. R., Mays, L. W. (1964).Handbook of applied Hydrology. San Francisco:McGraw-Hill.

Organización Meteorológica Mundial – OMM.(1992). Guía de Prácticas Hidrológicas. OMM,Ginebra.

Risken, H. (1996). The Fokker-Planck Equation.Springer-Verlag, London.

De la Rosa, E., Blázquez, R. (2003). Procesosestocásticos en ingeniería civil. Madrid: Colegio deIngenieros de Caminos, Canales y Puertos.

García, A. M. A. (2005). Introducción a la teoría deprobabilidad. Fondo de Cultura Económica,México.

Grigoriu, M. (2002). Stochastic calculus. Birkhauser,Berlin.

Blanco, C. L. (2003). Probabilidad. UniversidadNacional de Colombia, Bogotá.

Benjamin, J. (1970). Probability, Statistics, andDecision for Civil Engineers. San Francisco: McGrawHill,pp. 685.

Rich, N. R., Greene, L., Graham, R. C. (1971).“The Pearson´s System of frequency curves digitalcomputer program”. US Army Missile CommandRestone Arsenal, Alabama, Report RD-TR 7114,June.

Oksendal, B. (2003). Stochastic differential equations.Springer, Berlin.

Fuentes, B. J., Palacio, G. D. C., Hoyos, O. L.,Rivera, H. G. (2015). Oportunidades entre latecnología militar y la ingeniería civil. Caso deestudio: Aplicación del Sistema Estadístico dePearson en la modelación de los caudales mediosmensuales del río Fonce –Santander. Rev. IngenierosMilitares, vol 10, pp. 73-84.

Downloads

Published

2015-12-01

How to Cite

Construction of a continous stochastic process to simulate motion media flow in Fonce river (San Gil - Santander). (2015). Avances: Investigación En Ingeniería, 12(1). https://doi.org/10.18041/1794-4953/avances.2.264

Most read articles by the same author(s)