Hydrology Tutorial on Flood

Floods refer to the overflow of water onto normally dry land, often caused by heavy rainfall, melting snow, or dam failure. They can cause significant damage to infrastructure, agriculture, and human settlements. Studying floods is crucial as it helps us understand their causes, patterns, and impacts on both the natural environment and human societies. This knowledge enables us to develop effective strategies for flood prevention, mitigation, and response, ultimately saving lives and minimizing economic losses. Click here to see the tutorial.

Below is the brief outline :

Outline :

1. Definition

2. Empirical method of Flood Peak Estimation

Rational Equation

Unit hydrograph technique

Flood frequency studies

3. Rational Method

Time of Concentration

Rainfall Intensity

4. Characteristics of Empirical Formulae

5. Dickens Formula

6. Ryves Formula

7. Inglis Formula

8. Fullers Formula

9. Baird and Mcillwraith(1951)

10. Estimation of Flood from Frequency Analysis

11. Probable density function (PDF)

Gumbel distribution

Normal Distribution

Log-Normal Distribution

Normal distribution of the Logarithm of Variate.

Pearson Type III Distribution

Log-Pearson Distribution

Pearson distribution of the Logarithm of the Variates.

12. Plotting Position Probability(PPP)

Bulletin 17B PPP

Weibull PPP for Uniformly Distributed Dataset

Hazen PPP for Uniformly Distributed Dataset

Cunnane PPP for Uniformly Distributed Dataset

13. Determination of the Flood Magnitude

Hydrologic Frequency Analysis

14. Adjustment for Urbanization

Rational Equation(modified for urbanization)

15. Urban Adjustment Factor(Leopold,1968)

16. Probable Maximum Precipitation

Hershfield Method

Frequency Factor Calculation

Homogeneity of Dataset

Five most significant findings of the week related to water resources

"Sediment cores taken from the Southern Ocean dating back 23 million years are providing insight into how ancient methane escaping from the seafloor could have led to regional or global climate and environmental changes, according to a new study." Click here "Scientists analyzing one of the largest genomic datasets of plants have discovered how the first plants on Earth evolved the mechanisms used to control water and 'breathe' on land hundreds of millions of years ago. The study has important implications in understanding how to plant water transport systems have evolved and how these might adapt in the future in response to climate change." Click here "A new analysis of the River Ganges in West Bengal, India, highlights how wastewater flowing into the river impacts its water quality, and how that influences shifts with seasons and tides." Click here "MIT researchers have developed a solar-powered desalination system that is more efficient an

Five free statistics software that you can use in Water Resource Research

Statistics is an essential part of water resource research. But presently all the popular statistical software is expensive and for a student or individual researcher, it is nearly impossible to procure such software. For example, the cost of the most popular statistical software is as given below : Statista ($59 per month,billed annually) Sigma XL : $299.00 USD(Single Licence) IBM SPSS Statistics ($99 per user per month) JMP : $1200 Minitab : $1610.00 USD(Single User Annual Subscription) There are many other paid software programs that offer various statistical analyses, such as Origin Pro and Stata, but their prices vary depending on location, number of users, and other factors. That is why they ask you to request a quote, and upon receipt of your request, they will provide you with a quotation based on your specific requirement. An individual researcher, on the other hand, cannot afford such a high price. As a result, we must rely on grants or institutes to obtain this software.

Seven Most Tenable Application of Artificial Intelligence on Water Resource Management Problems

AI or Artificial Intelligence is a pioneering technique that has enabled the creation of intelligent machines. or smart machines which have the power to self adapt based on the situation presented to them. It requires situations whose response is known and based on this training data set it learns the problems which it has to solve when it is ready. Due to the alarming success with AI in robotics, electronics, etc fields the same technique is now used to solve the problems of water resource management. This ppt shows the seven most notable use of AI in water resources-based problems where satisfactory improvement has encouraged the further application of the technique. View the Presentation Dr.Mrinmoy Majumder, My ResearchGate Id : Mrinmoy_Majumder Home Page: http://www.mrinmoymajumder.com Author of: Lecture Notes on MCDM Indian Link ; Global Link :

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