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2/18/2014 1 Flash Floods Risk Assessment in The Eastern Desert By Eng. Mona M. Mohamed Faculty of Engineering, Ain Shams University Cairo, Egypt [email protected] 1 2 Contents Introduction. The main goal. Algorithm Literature Review. Methodology. Results. Conclusion . References . 3 Introduction Flash floods events Eastern desert Risk map Mitigation of study Literature Review Methodology Results Conclusion References The flash floods events in Egypt and its effect. (1969,1980,1984,1985,1994) INTRODUCTION Heavy rainfall has caused floods across Egypt including Al Arish 2010 4 4 Introduction Flash floods events Eastern desert Risk map Mitigation of study Literature Review Methodology Results Conclusion References Eastern Desert as a semi arid region is the study area. INTRODUCTION

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Page 1: 2/18/2014 - Swindonmena.exceed-swindon.org/wp-content/uploads/2015/03/... · millimeters per year and evaporation exceeds the yearly may be classified as extreme desert areas. Two-thirds

2/18/2014

1

Flash Floods Risk

Assessment in The Eastern

Desert

By

Eng. Mona M. Mohamed

Faculty of Engineering, Ain Shams University

Cairo, Egypt

[email protected]

1 2

Contents

Introduction.

The main goal.

Algorithm

Literature Review.

Methodology.

Results.

Conclusion .

References .

3

Introduction

Flash floods events

Eastern desert

Risk map

Mitigation of study

Literature Review

Methodology

Results

Conclusion

References

The flash floods events in Egypt and its effect. (1969,1980,1984,1985,1994)

INTRODUCTION

Heavy rainfall has caused floods across Egypt

including Al Arish 2010

4 4

Introduction

Flash floods events

Eastern desert

Risk map

Mitigation of study

Literature Review

Methodology

Results

Conclusion

References

Eastern Desert as a semi arid region is the

study area.

INTRODUCTION

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5 5 5

Introduction

Flash floods events

Eastern desert

Risk map

Mitigation of study

Literature Review

Methodology

Results

Conclusion

References

INTRODUCTION

1-The Red Sea Coastal Plain

2-The Red Sea Mountain

6 6

Introduction

Flash floods events

Eastern desert

Risk map

Mitigation of study

Literature Review

Methodology

Results

Conclusion

References

yet no risk map for the whole Eastern

Desert region was established .

INTRODUCTION

7

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

The Main Goal

A flood risk map with prioritization

for the locations subjected to

flooding in the Eastern Desert

towards the red sea coast using

morphological parameters.

8

By get the response of All watersheds

to the Same pseudo storm.

The Main Goal

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

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9

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

Algorithm

1-GIS Get

morphological

parameters

2-MCA Calculate

SRF

3-HEC

Get Q & Tp

4-Excell -Correlation bet. Q & Tp

Vs SRF

-get WSRF

MITIGATION of STUDY

10

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

- Definition :

“Sharp and unexpected "are the two best words

to use to characterize a flash flood and its

hydrograph.

- Properties of flash floods :

The hydrograph of a flash

flood has very specific

characteristics:

It generally has -a single

very high peak

discharge, -the flood

volume is not

necessarily important,

-the duration of the

entire flood event is

short, and -the time to

peak is within six hours.

11

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

- Definition :

Although there is no agreement among hydrologic experts on the

distinct classification of arid and semi-arid regions based on their

annual rainfall, the following categories may be generally identified

(Soliman 2010):

1. Areas where the annual total rainfall is less than 70

millimeters per year and evaporation exceeds the yearly

rainfall may be classified as extreme desert areas. Two-thirds

of the Middle East region can be classified as desert.

2. Areas where annual total rainfall is between 70 and 200

millimeters per year with sparse vegetation are called arid

regions.

3. Areas where total annual rainfall is between 200 and 450

millimeters are classified as semi-arid regions. The Mediterranean

Sea coast is classified as a Mediterranean zone with rainy and

moderately warm winters and dry summers and can be considered

to be between arid and semi-arid regions.”

12 12

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

- Definition :

“the terms arid and semi-arid zone are applied to

those areas where rainfall will not be sufficient for

regular rain-fed farming” (FAO, 1981; Walton, 1969)

UNESCO has taken the ratio of precipitation to

potential evapotranspiration (ET) as an aridity index:

P/PET<0.03 hyper arid zone

0.03<P/PET<0.2 arid zone

0.2<P/PET<0.5 semi-arid zone

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13

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

- Climate and natural characteristics :

The natural geography of the arid and semi-arid zones is complex

and differs from site to site.

infrequent

rainfall

low cover

ratio

serious soil

loss and

erosion

Poor

vegetation

cover

Drought

Parts of the arid and semi-arid regions of Egypt are located in Sinai

and Red Sea Governorate. This is distinguished by the scarcity of

rain and relative high moisture content. The average rainfall

received by the Eastern Desert annually ranges between 2.75 and

>50mm annually. Precipitation is most concentrated between

September and October, with storms of short duration and limited

area.

14

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

- Example of arid zones :

It is located at the western

side of the Gulf of Suez,

Eastern Desert, Egypt. Wadi

Ghoweibba represents one

of the largest basins in the

Eastern Desert of Egypt. It

covers an area of 3043 km2

with 70 km length and basin

perimeter of 298 km.

15

- Example of arid zones :

Receives small amounts

of rainfall (25.0 mm/year)

mainly in autumn and

winter (El-Rakaiby, 1989).

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

16

- Definition :

A watershed can be defined as

the area of land that catches

water from precipitation and

snowmelt. The water then

drains to a common waterway,

such as, a stream. Each stream

has its own watershed.

Watershed geomorphology

refers to the physical

characteristics of the

watershed.

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

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17

- Watershed characteristics and its effect :

AREA Length

Q

Small Area

Large Area

Time Longer Length

Shorter Length

Q

Time

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

18

- Watershed characteristics and its effect :

Mild Slope

Steep Slope

Q

Time

Slope Shape

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

19

- Watershed characteristics and its effect :

Drainage

Density

Low Density

High Density

Q

Time

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

20

- Watershed characteristics and its effect :

Hydraulic

roughness

More Rough

Less Rough

Q

Time

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

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21

- El-Shamy ( 1992)

Class ‘A’ (high groundwater potentiality and low flooding)

Class ‘B’ (low groundwater potentiality and high flooding,)

Class ‘C’ (intermediate groundwater potentiality and flooding)

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

22

used a Weighted Normalized Risk Factor

(WNRF) for floods risk assessment.

The four parameters used are: AREA , SLOPE

, time of concentration and runoff volume

A weight coefficient (W) was assumed

constant for all factors and equal to 1/ (No. of

parameters)

It was noticed during the analysis for a case

study in the Eastern desert that the drainage

basin area has a great effect on the floods

generated at its outlet while other factors have

less effect than the drainage area such as the

slope and roughness.

- Elmoustafa (2012)

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

23

- RESOURCES TECHNOLOGY

This Study used 9 morphological

parameters

risk map for watersheds that affect on

Area from marsa alam to Ras Banas.

Morphological parameters was used :

1-Area of watershed (A) ,2-Slope ,3-Drainage

Density ,4-Drainage Frequency ,5-RB=Nw-1/Nw

6-Rt = Nw/p

7-Roughness factor Rn = R*D where ; R= heights

difference in km and D = Drainage Density

8-Shape factor =1.27A/P2 where ; A=watershed

Area and P =watershed perimeter

9-Heights Factor equal where ; R=maximum height

difference and LB distance between them

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Methodology

Results

Conclusion

References

24

- RESOURCES TECHNOLOGY

RISK VALUE=4*((X– X Min.

)/(X Max. –X Min.))+1

Then summation value of

risk was calculated and gets

risk for every watershed,

watersheds were classified

in to five categories:

most dangerous (5)

dangerous (4)

medium dangerous (3)

less dangerous (2)

not dangerous(1).

El-G em al

Lah m y

Gha dir

Ghso un

U rayar

R ing a

U m A bb as

Al Ad aya

N akry

Qul aan

Sam ada y

53

69

26

48

31

42

7

49

56

47

10

15

3

25

36

45

50

46

68

4

66

64

2

65

5

59

67

1

58

29

62

20

9

39

16

63

14

52

12

61

43

34

55

35

18

32

57

38

21

23

11

27

41

28

19

8

44

54

40 0 40 Kilometers

Study Area

Risk

most dangerous

dangerous

medium dangerous

less dangerous

not dangerous

N

EW

S

Introduction

The Main Goal

Algorithm

Literature Review

Basic concepts of

flash floods

Arid and semi arid

regions

Watershed

geomorphology

Catchment delineation

Previous Studies

Study Area & the

Problem Definition

Methodology

Results

Conclusion

References

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25

-The Digital Elevation Model (DEM) from NASA Shuttle Radar

Topographic Mission (SRTM) has provided digital elevation

data with a 90 m resolution.

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

26

Area (38-41000

km2)

Length.

Longest flow path.

Slope(0.002-0.064).

Streams number(1-

1216)

Streams Lengths

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

27

Drainage frequency (F)= Streams’ No./A

Drainage Density (D)= Streams’ Lengths/A

Surface flow length (Lo) = 1/2D

Shape factor (Ish) = 1.27(A/P^2)

Time of concentration (Tc)= (0.01944(L^0.77)/S^0.385)

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

28

Area Standardized Risk Factor

(ASRF) =( Area – Area Min. )/(Area Max. –Area

Min.)

The box plot technique was applied to avoid

extreme high values .

0

5.000

10.000

15.000

20.000

25.000

30.000

35.000

40.000

45.000

1 3 5 7 9 11 13 15 17 19 21 23 25 2729 31 33 35 3739 41 43454749 51 53 55 5759 61 636567

Watershed number

Area (km2)

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

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WSRF w1*ASRF

w2*SSRF

w3*FSRF

w4*DSRF

w5*LoSRF

w6*ISRF

w7*TcSRF

WSRF= Σ (Wi x SRFi)

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

30

Precipitation .

Loss method(SCS curve

number)

Transform method (The SCS

unit hydrograph).

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

31

Time to

peak

Peak

discharge

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Data collection

Morphological analysis

Sensitivity analysis

Results

Conclusion

References

32

00,10,20,30,40,50,60,70,80,9

1 0,93

0,21

0,85

0,14 0,21

0,02 0,02

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

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0,000,050,100,15

0,200,250,300,350,400,45

0,43

0,00

0,39

0,06 0,10

0,01 0,01

W= correlation value / Σ (correlations)

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

34

•Low Risk

•Low to moderate Risk

•Moderate Risk

•High Risk

•Very High Risk

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

35

-0,7

-0,6

-0,5

-0,4

-0,3

-0,2

-0,1

0

0,1

0,2

1/Area Slope 1/Tc 1/FShapefactor 1/Lo 1/D

-0,67 -0,57

-0,6

-0,2 -0,25

0,11

-0,17

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

36

0,00

0,05

0,10

0,15

0,20

0,25

0,30

1/Area Slope 1/Tc 1/FShape factor1/Lo 1/D

0,27

0,23 0,24

0,08 0,10

0,00

0,07

W= correlation value / Σ (correlations)

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

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37

•Low Risk

•Low to moderate Risk

•Moderate Risk

•High Risk

•Very High Risk

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

38

•Low to moderate Risk

•Moderate Risk

•High Risk

•Very High Risk

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

39

9%

13%

35%

43%

very high risk high risk moderate moderate to low

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Peak discharge risk

Time to peak risk

Overall risk

Conclusion

References

40

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

•The Egyptian eastern desert is having a long coast along the Red sea

of more than 1000 km length, Sixty eight main watersheds discharging

eastward into the red sea were studied, area of watersheds were found

to range between 38 km2 and 41,474 km2 and the slope were found to

range between 0.002 and 0.064 and the relation

•A new criterion was developed to evaluate the risk factor for the floods

resulting from watersheds generated within the Red Sea Mountains

and flowing to the Red Sea. These criteria could be used in other

places with similar characteristics.

•The box plot test represented a very useful, easy to use and quick tool

when trying to exclude extremely high parameter that may lead to

unrealistic risk factor.

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Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

•Eastern Desert watersheds discharging into the Red Sea are

classified into four categories where 9% of watersheds have very high

risk, 13% has high risk, 35% has moderate risk and 43% has

moderate to low risk.

•The drainage basin area is the morphological parameter that has the

highest effects on the peak floods generated followed by time of

concentration and slope; other factors have less effect such as the

shape factor, drainage frequency, drainage density and surface runoff

length.

•The drainage basin slope is the morphological parameter that has the

highest effect on the time to peak followed by the shape factor.

42

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

For future studies,

•The Weighted Standardized Risk Factor (WSRF) obtained can be used

during the design of flood protection measurements and/or the

calculation of design peak flows for crossing structures. This may lead to

more economic design procedure that can be adopted in drainage

design guidelines and manuals. Studies should be carried out to

investigate how to implemented this in the design procedure

•It is recommended to study curve number as an important

morphological parameter in future assessment that affect on the

generated hydrograph realistic approach.

•The produced Risk map is helpful to know the locations that have high

flood risk in order to prevent loss of life and minimize damages to

property.

•This technique is to be investigated in other places that importance to

our future development plans such Sinai coast.

43

Introduction

The Main Goal

Algorithm

Literature Review

Methodology

Results

Conclusion

References

1. Ashraf M. Elmoustafa 2012, “Weighted Normalized Risk

Factor for Floods Risk Assessment” Ain Shams Engineering

Journal (ASEJ), April 2012.

2. El-Shamy, I. Z. 1992, “New approach for hydrological

assessment of hydrographic basins of recent recharge and

flooding possibilities”. 10th Symp. Quaternary and

Development, Egypt, Mansoura Univ., 18 April, p. 15.

3. Baptista et al. "Multi criteria evaluation for urban storm

drainage", First SWITCH scientific meeting University of

Birmingham, UK, 9-10 Jan 2007.

4. Horton, R. E., “Drainage basin characteristics, Trans. Am.

Geophysics. Union, vol. 13, pp. 350-361., 1932.

44

Thank you for your attention !

[email protected]