Thursday, September 26, 2024

What should we do before we start to develop a numerical model ?


You have to follow the steps as given below before developing a numerical model from a given set of data : Outlier Detection -Chauvenet -Dixon Thompson -Rosner's Method Trend Detection -Runs Test Correlation Determination -Auto and Cross-Correlation Risk and Uncertainty -What is Risk and Vulnerability? -Weibull’s Method

Monday, September 16, 2024

Free Tutorial on CFD


Full Content :


Classification of Linear PDE

Taylor Series Expansion

Condition of Convergence and Stability

Discretization of Parabolic PDE

Discretization of Elliptic PDE

..by Gauss Siedel Method

Crank Nicholson Method

Numericals on Crank Nicholson Method

Finite Difference Method

Numericals on Finite Difference Method

The Richardson Extrapolation Method

Click here to access the tutorial.

Wednesday, September 11, 2024

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


Saturday, August 24, 2024

Nine MCDM METHOD in one Book #freetutotorials #MCDM #ecourse


Nine MCDM Methods in one book :
1) ELECTRE : ELIMINATION AND CHOICE TRANSLATING REALITY 2)FMAE : FAILURE MODE EFFECTS ANALYSIS 3)MAUT : MULTI ATTRIBUTE UTILITY THEORY 4&5)PROMETHEE : PREFERENCE RANKING ORGANIZATION METHOD FOR ENRICHMENT EVALUATION (One and Two) 6)RA : RELIABILITY ANALYSIS 7)WSM : WEIGHTED SUM METHOD 8)WPM : WEIGHTED PRODUCT METHOD 9)DELPHI All these are free video tutorials.
For case studies and project ideas please upgrade to Paid Member of Baipatra VSC.

Friday, August 16, 2024

Why are so many natural disasters taking place within June to September ?



Extreme weather events such as landslides, floods, and waterlogging have become more common in the last five years. The primary cause of these climatic abnormalities is the congestion or clogging of the drainage network of a watershed, either natural or artificial. The human body's arteries or blood vessels can become clogged due to the buildup of fats, leading to potential health issues such as backflow, ruptures of blood vessels, and blood spills.


To mitigate the frequent occurrences of flooding, waterlogging, and landslides, it is essential to desilt and expand our drainage system. By desilting the existing network, we can clear blockages, and by expanding the network, we can provide an additional path for excess water to flow. However, governments have turned blind to such proposals.


To solve this problem, we need to desilt and expand our drainage system.

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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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Ecourse: Geographical Information System


Ecourse: Geographical Information System

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