Hydrology and Data Processing

Recommended Prerequisites

Training required in Numerical Methods, Statistical Methods, Hydraulics and Hydrology.

Teaching Methods

Lectures on theoretical aspects, presentation and discussion of examples of practical application, resolution of problems, and autonomous resolution of problems (by students). Tutorial classes for practical work.

Learning Outcomes

The objectives of this course are: to provide students with knowledge on hydrologic modeling techniques, for the analysis of available water resources, relevant to the identification of pressures on water resources and the protection and sustainable management and, in this context, also promote the acquisition of knowledge of specialized methodologies in the treatment and analysis of hydrological data.

Work Placement(s)

No

Syllabus

1. Concepts and techniques of treatment and analysis of hydrologic data. Conventional and unconventional methods. Variability in time series. Trend and seasonality. Statistics of extreme maximum and minimum flow rates applied to precipitation and runoff.
2. Concepts and techniques for hydrological modelling. Deterministic and stochastic processes models.
3. Applications to the design of hydraulic works and the planning and management of water resources.

Head Lecturer(s)

João Luís Mendes Pedroso de Lima

Assessment Methods

Contínua
Resolução de problemas e trabalhos práticos: 40.0%
Exam: 60.0%

Bibliography

Beven, K.J. 2000. Rainfall-Runoff Modelling – The Primer. John Wiley & Sons, Inc., New York.

Chow, V.T., Maidment, D.R. & Mays, L.W., 1988. Applied Hydrology. McGraw-Hill, Singapura.

Maidment, D.R. (Ed.), 1993. Handbook of Hydrology. John Wiley & Sons, Inc., New York.

Tucci, C.E.M., 1998. Modelos hidrológicos. Universidade UFRGS e ABRH, Porto Alegre.

Beirlant, J., Goegebeur, Y., Segers, J. and Teugels, J. (2004). Statistics of Extremes: Theory and Applications. Wiley, New York.

Reiss, R.-D. and Thomas, M. (2001). Statistical Analysis of Extreme Values, with Applications to Insurance, Finance, Hydrology and other Fields.
 2ª edição. Birkhauser. Verlag.
Karlin, S. & Taylor, H.M., 1998. An Introduction to Stochastic Modeling, Third Edition, Academic Press.

Tijms, H.C., 2003. A First Course in Stochastic Models. Wiley.

Singh, V.P. and Frevert, D.K., editors, 2002. Mathematical Modeling of Small Watershed Hydrology and Applications. Water Resources Publications, Littleton, Colorado, 950 pp