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Engineering Hydrology Chapter 7 Flood Hydrology
ENGINEERING HYDROLOGY (ENCE 306)
Chapter 7: Flood Hydrology
8 Hours 10 Marks

Flood Hydrology Notes

About this Chapter

This document contains the complete study material for Chapter 7: Flood Hydrology. Flood hydrology is crucial for the design of hydraulic structures, enabling engineers to predict extreme flow events and mitigate risks.

In this chapter, students will learn about flood frequency analysis, plotting positions, and probability distributions like the Gumbel extreme value and Log Pearson type III distributions. The syllabus also heavily covers design floods in ungauged basins using the Rational method and regional empirical formulae, as well as an overview of flash floods and Glacial Lake Outburst Floods (GLOFs).

Syllabus: Flood Hydrology

7. Flood Hydrology
8 hours
10 Marks

7.1 Design flood and its frequency

7.2 Relation of flood frequency with risk and lifespan of structure

7.3 Design floods in gauged river basins by flood frequency analysis

7.3.1 Plotting positions and probability distributions for flood prediction

7.3.2 Flood statistics and frequency factors

7.3.3 Gumbel extreme value type I distribution

7.3.4 Log Pearson type III distribution

7.3.5 Log Normal distribution

7.3.6 Goodness of fit tests (Chi square test)

7.4 Design floods in ungauged river basins

7.4.1 Rational method using Mononobe’s equation for rainfall intensity

7.4.2 Rainfall-runoff methods: Snyder, BD Richard and PCJ models

7.4.3 Regional empirical formulae: Dickens, WECS and MHSP methods

7.5 Flash floods

7.5.1 Intense rainfall (Cloud outburst; Stationary monsoon troughs; Monsoon depressions)

7.5.2 Glacial lake and landslide dammed outburst floods

7.5.3 Impact of climate change on flash floods

7.6 Probable maximum flood (PMF)

7.7 Basics of flood modeling

Micro Syllabus

7. Flood Hydrology
6L · 8T · Week 12
Topic / Sub-topic Description Depth Code Hours
7.1 Design Flood and Its Frequency Definition of design flood and its frequency of occurrence. D, E, I 0.5
7.2 Flood Frequency with Risk and Lifespan of Structure Estimation of flood frequency; relationship with risk and design lifespan of structures. D, E, I, NUM 0.5
7.3.1 Plotting Positions and Probability Distributions Design floods in gauged basins by flood frequency analysis; plotting positions and probability distributions for flood prediction. E, I, SK, NUM 1
7.3.2 Flood Statistics and Frequency Factors Flood statistics and frequency factors used in frequency analysis. E, I, NUM 0.5
7.3.3 Gumbel Extreme Value Type I Distribution Gumbel extreme value Type I distribution; frequency factor; confidence limits. E, I, SK, NUM 0.5
7.3.4 Log Pearson Type III Distribution Log Pearson Type III distribution for flood frequency analysis. E, I, NUM 0.5
7.3.5 Log Normal Distribution Log Normal distribution for flood frequency analysis. E, I, SK, NUM 0.5
7.3.6 Goodness of Fit Tests Goodness of fit tests for evaluating probability distribution models. E, I, NUM 0.5
7.4.1 Rational Method Rational method using Mononobe’s equation for rainfall intensity; peak discharge estimation for small basins. E, I, SK, NUM 0.5
7.4.2 Rainfall-Runoff Methods for Ungauged Basins Rainfall-runoff methods for ungauged basins: Snyder, BD Richard, and PCJ models. E, I, SK, NUM 0.5
7.4.3 Regional Empirical Methods Regional empirical methods: Dickens, WECS, MHSP, and DHM methods applicable in Nepal. E, I, SK, NUM 0.5
7.5.1 Flash Floods – Intense Rainfall Intense rainfall events: cloud outburst, stationary monsoon troughs, and monsoon depressions causing flash floods. E, I, VP 0.5
7.5.2 Flash Floods – Geo-environmental Causes Geo-environmental flash floods: glacial lake outburst floods (GLOFs) and landslide-dammed outburst floods. E, I, VP 0.5
7.5.3 Impact of Climate Change on Flash Floods Impact of climate change on the frequency and intensity of flash floods in Nepal. E, I, VP 0.5
7.6 Basics of Flood Modeling Basics of flood modeling; software tools used in flood analysis and prediction. E, I, SK, PR 0.5
Evaluation: QA, Q
Lecture Notes (By KN Dulal & Mithun Kuwar)

Credit: KN Dulal & Mithun Kuwar Sir
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Special thanks to KN Dulal and Mithun Kuwar Sir for providing these comprehensive lecture notes.

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