Stochastic Model In Water Resources
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Follow on Instagram for UpdatesStochastic Model In Water Resources Syllabus — Unit-wise Content
The official GTU curriculum for Stochastic Model In Water Resources (subject code ME02033081) as prescribed for C(RE · Semester 2 divides the course into 5 units, covering 47 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02033081)Unit 1 Deterministic and Stochastic Hydrology, review of concepts of
- probability axioms
- Random variables and their properties
- probability distribution and probability density function
- Discrete and continuous probability distributions used in hydrology
- moments and expectations of distributions
- Parameter estimation
- method of moments
- maximum likelihood method and method of probability weighted moments
- Hypothesis testing
- goodness test of fit tests
- Chi Square test and KS test
Unit 2 Frequency analysis of hydroclimatic extremes, extreme value
- analysis of floods
- droughts and other natural hazards
- Regional flood frequency analysis
- Risk and reliability in hydrologic design
- Analysis and measures of hydrologic uncertainty
- Correlation analysis and correlation coefficient
- Simple linear regression
- Multivariate regression analysis
- Correlation coefficient and its significance in regional analysis
- analysis of variance
- applications – rainfall-runoff analysis
- rating curves
- water quality modelling
- Multivariate analysis
- principal component analysis
- cluster analysis
Unit 3 Hydrologic Time Series Analysis, Hydrologic time series, stationary
- and non-stationary time series
- Ensemble and realisation
- trend analysis
- trend removal
- analysis of periodicity
- Fourier transformation and harmonic analysis
- autocorrelation function
- spectral density function
- Wavelet analysis
Unit 4 Modelling of Hydrologic Time Series, Time series models,
- autoregressive and moving average models
- periodic models
- Calibration and validation of hydrologic time series models
- data generation techniques
- simulation of hydrologic time series
- streamflow forecasting
Unit 5 First order Markov process, Markov chain, Multi-site time series model,
- spatial and temporal disaggregation models
- Theory of copula and its use in hydrology
- commonly used copula functions
- selection of best fit copula
- uses of copula
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