Introduction to Water Resource Planning and Management

Full Content

Water Resource Part

• Definition

• Empirical method of Flood Peak Estimation

• Rational Equation

• Unit hydrograph technique

• Flood frequency studies

• Rational Method

• Time of Concentration

• Rainfall Intensity

• Characteristics of Empirical Formulae\

• Dickens Formula

• • Ryves Formula

  • Inglis Formula

  • Fullers Formula

  • Baird and Mcillwraith(1951)

• Estimation of Flood from Frequency Analysis

• Probable density function (PDF)

• Plotting Position Probability(PPP)

• Determination of the Flood Magnitude Hydrologic Frequency Analysis

• Adjustment for Urbanization

• Urban Adjustment Factor(Leopold,1968)

• Probable Maximum Precipitation

Management Part

• Statistics

• Outlier Detection
• Correlation : Auto and Cross
• Runs Test
• Weibuls Formula

• Decision Making

• MCDM
• Analytical Hierarchy Process
• ELECTRA
• Optimization Techniques

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Ecourse : Artificial Intelligence and Water Resources

Ecourse : Artificial Intelligence and Water Resources

Learn about Artificial Neural Networks, the backbone of Artificial Intelligence in a self-paced manner. Simple and Polynomial Neural Networks were covered with self-explanatory presentations and examples of problems from Water Resources. The content of the course is as follows: 1 What is ANN? 2 Training Algorithms: Conjugate Gradient Descent and Newton Method 3 Training Algorithms : Quasi Newton and Levenberg Meruardt 4 Advanced ANN: PNN with the help of GMDH 5 GMDH 6 Performance Metrics 7 Example Application in Water Resource Development 8 No Code Software for ANN Application In addition to this multiple Case studies will be discussed.

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