Flood risk management in urban areas by using SUDS and a … · 2017. 12. 14. · 23 de Agosto 2014...

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30/11/2017 1 Flood risk management in urban areas by using SUDS and a Reactive Early Warning System: Case study in Barranquilla, Colombia Humberto Ávila, Leandro Ávila & Augusto Sisa Instituto de Estudios Hidráulicos y Ambientales – IDEHA Universidad del Norte 2017 Introduction The city of Barranquilla in Colombia has one of the major stormwater management issues in the world. Due to the lack of a stormwater drainage system in more than 90% of its urban area, the runoff flows on the streets during rain events with dangerous flow rates The permeable areas are little and the steep slopes of the city cause supercritical flow and flash floods on many streets with high velocities. This has negative consequences such loss of human life, damage to infrastructure, and economic losses. May 9 th 2017

Transcript of Flood risk management in urban areas by using SUDS and a … · 2017. 12. 14. · 23 de Agosto 2014...

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Flood risk management in urban areas by using SUDS and a Reactive Early Warning System:

Case study in Barranquilla, Colombia

Humberto Ávila, Leandro Ávila & Augusto Sisa

Instituto de Estudios Hidráulicos y Ambientales – IDEHA

Universidad del Norte

2017

Introduction• The city of Barranquilla in Colombia has

one of the major stormwatermanagement issues in the world.

• Due to the lack of a stormwaterdrainage system in more than 90% of its urban area, the runoff flows on the streets during rain events with dangerous flow rates

• The permeable areas are little and the steep slopes of the city cause supercritical flow and flash floods on many streets with high velocities.

• This has negative consequences such loss of human life, damage to infrastructure, and economic losses.

May 9th 2017

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Watershed characteristics

Source: El Universal NewspaperSource: ADN Newspaper

(%)

SUPERCRITICAL FLOW

Typical flow rates and velocities

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Stormwater master plan: Channeling for ending segments of streets

Foto: Luis Rodriguez – El Herando

Foto: www.lachachara.org

Foto: www.semana.com

Street/Stream Lenght (Km) Cost (Millon US$)

Arroyo 84

2.4 33Arroyo 82

Arroyo 79

Arroyo 21 3.4 40

Felicidad 3.4 42

Calle 75 y 76 2.4 33

Calle 65 2.3 30

Hospital 2.4 30

Calle 91 y 92 1.5 21

Calle 58 0.9 15

Arroyo 21 3.4 40

TOTAL 19.7 251

60 Km left with flash flood issues!

Channeling for ending segments of streets

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Flood during construction: Calle 76 StreamMay 12th 2017

May 12th 2017

Purpose of the REWS

• The purpose of the REWS (Reative Early Warning System) is to account for an economic and effective EarlyWarning system that allows identifying flash flood riskbased on a deterministic and semi-hydrological model.

• The REWS is complementary to a FEWS (ForecastingEarly Warning System)

• The city of Barranquilla is currently on a channelingmaster plan attending up to 20% of the streams/streetswith flash flood risk.

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Fieldwork and monitoring

• Flow rate and rain gages• Topography• Flow direction• Land used

Flow directionElevation Land use

Fieldwork and monitoring

Tipo de Área Porcentaje %

Área permeable efectiva 27

Área impermeable efectiva 73

• Permeable/Imperviouspercentage area

• Satellite image analysis

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Type of soil

Type soil Area (Ha) Percentaje(%)

Sand 2984.02 86.71%

Clay 249.08 7.24%

Gravel 98.82 2.87%

Silt 75.43 2.19%

Other 34.15 0.99%

Land use

Residential

Comercial

Residential

Central

Institucional

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Modeling and Calibration

• Area• Width• Lenght• Permeability

Horton Model

ManningRoughnessCoefficent

PCSWMM

Model calibration – “Torcoroma” subcatchment

Error:ISE ratingISENSER²SEELSELSE dimRMSERMSE dim

SensorExcellent2.750.8940.9350.82699.530.86.710.376

0

1

2

3

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5

6

7

8

9

10

11

14:00Aug 23 Sat 2014

14:30 15:00 15:30 16:00 16:30

Calibración cuenca Torcoroma23 de Agosto 2014

Tota

l inf

low (m

³/s)

Date/Time

Sensor Sensor (Obs)Error:ISE ratingISENSER²SEELSELSE dimRMSERMSE dim

SensorVery good4.410.8060.9370.933106767.590.49

0

1

2

3

4

5

6

7

8

9

14:00Aug 28 Thu 2014

14:30 15:00 15:30

Calibración cuenca Torcoroma28 de Agosot 2014

Tota

l inf

low

(m

³/s)

Date/Time

Sensor Sensor (obs)

Error:ISE ratingISENSER²SEELSELSE dimRMSERMSE dim

SensorVery good3.570.4180.6541.0714318.78.730.242

0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5

6.0

6.5

1p. m.Sep 3 Wed 2014

2p. m. 3p. m. 4p. m.

Calibración cuenca Torcorom3 de Septiembre 2014

Tota

l inf

low

(m

³/s)

Date/Time

Sensor J21 (obs)

Error:ISE ratingISENSER²SEELSELSE dimRMSERMSE dim

SensorVery good3.360.7350.930.64446.425.75.70.514

0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

17:30Sep 7 Sun 2014

18:00 18:30 19:00 19:30

Calibración cuenca Torcoroma7 de Septiembre 2014

Tota

l inf

low

(m

³/s)

Date/Time

Sensor Enter name...

23 de Agosto 2014 28 de Agosto 2014

3 de Septiembre de 2014 7 de Septiembre de 2014

Event �� NSE ISE ISE rating Type

August 23rd 2014 0.93 0.9 2.91 Excelent Calibration

August 28th 2014 0.86 0.81 4.6 Very good Validation

September 3rd 2014 0.65 0.41 3.29 Very good Validation

September 7th 2014 0.92 0.70 5.93 Very good Validation

Adjustment of calibration and validation scenarios

• Coefficient of determination (R�)• Nash-Sutcliff efficiency model

(NSE) coefficients • Integral Square Error (ISE).

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Time of concentration equationA time of concentration equation was developed for Barranquilla, based on field data and modeling.

200

100

0

0

5

10

15

20

25

30

35

40

45

50

55

8:00Aug 23 Sat 2014

8:30 9:00 9:30

Hidrograma de salida cuenca Torcoroma

Rai

nfal

l (m

m/h

r)T

otal

inflo

w (

m³/

s)

Date/Time

8 T_CONCENTRACION Sensor T_CONCENTRACION

Hazard analysis for urban floodSeveral studies have been conducted regardingflood safety criteria for the implementation of earlywarning systems. Cox R.S. (2010) identified andevaluated the dangerous flow conditions associatedwith a person or a car based on hydrodynamicvariables.

The Hazard Level (m2/s) was defined as follow

���

� ∗ � ��

Source : Cox, 2010

Source : Cox, 2010Flow instability models for vehicles and people (Shand, 2011)

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REWS ModelA rainfall event is modeled cumulatively by rainfall increment pulses in order to know the runoff conditions on each street intersection each minute.

Felicidad Watershed: Results

Drainage area of 336 Ha and mainstream length of 4.8 Km.

The watershed was divided into 20sub-catchment with areas between5 and 30 Ha.

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Real time modeling: Rainfall-Runoff

The August 23th 2014 rainfall event was performed with 120 simulations and it was generated 120 flow, depth and velocity graphs.

Maximum flow conditions in Felicidad watershed

Variable Street 27-61 Street 44 -48 Outfall

Drainage area (ha) 63.4 252.2 336Peak Flow (��/�) 10 54 68

Max Depth (�) 0.24 0.96 0.8

Max Velocity (�/�) 4.10 5.6 8.2

Hazard level (��/�) 0.98 5.37 6.56

Carrera 44 – Calle 48

Reactive Early Warning System

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Results – Reactive Early Warning System

SUDS retrofitting: Pilot Tests

• A residential existing building wasretrofitted for improving itsstormwater system by usingSUDS.

• Number of floors: 5

• Underground parking

• Gardens located in front of thebuilding

• Existing non-used undergroundtank for drinking water

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Characteristics of the existing drainage system

Area of the property: 544m2

Effective area draining to the undergroundtank: 273m2

Tank´s storage capacity: 27m2

Runoff is discharged directly to the street

Schematic layout of the retrofitting

Recolección de aguas lluvias en

techo

Medidor de Caudal

Jardín

MotobombaTanque de aguas

lluvias parqueadero

Rejillas de recolección de aguas lluvias parqueadero

Tanque Subterráneo

Tanque de Infiltración

Calle

Antejardín

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Retrofittings

Water level gage

Garden retrofitting Flow measuring boxes

Pipe and valves systems for controling dischages to the garden or the street

Some resultsEvent:

Rainfall: 79 mm

Weir height: 1 cm

Runoff volume: 21,6��

Peak flow in the building: 21,5 L/s

Peak flow discharge: 12,2 L/s

Peak flow reduction: 43%

Storage runoff volume:2,7��

Runoff volumen reduction: 13%

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Results

(L/s) (L/s)

Using dispersed tank for reducing peak flowby land use

Avila, H., Avila, L., and Sisa, A. (2016). "Dispersed Storage as Stormwater Runoff Control in Consolidated Urban Watersheds with Flash Flood Risk." J. Water Resour. Plann.

Manage. , 10.1061/(ASCE)WR.1943-5452.0000702 , 04016056.

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Using dispersed tank for reducing peak flowEquivalent volumen estimation

Avila, H., Avila, L., and Sisa, A. (2016). "Dispersed Storage as Stormwater Runoff Control in Consolidated Urban Watersheds with Flash Flood Risk." J. Water Resour. Plann.

Manage. , 10.1061/(ASCE)WR.1943-5452.0000702 , 04016056.

Conclusions

• The REWS proposed in this study was based on a deterministic and semi-distributed hydrological model. Therefore, the runoff and hazard forecasting depend on the rainfall data collected each minute.

• The implementation REWS represents both an economic and effective measure to reduce flash flood risk. However, a Forecasting Early Warning System combined with the REWS would reduce the uncertainty and improve the prediction and reliability. Other applications will be implemented for public users, such as social networks, twitter, real time reports, citizen watch, among other actions to improve the application.

• SUDS are an excellent alternative for managing peak-flow in consolidadedurban watersheds if they are implemented in large scale. Feasablealternatives and social awarness are necesary to make it atractive forpublic and the local goverment.

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Thank you!

Humberto Avila, PhDInstituto de Estudios Hidráulicos y Ambientales – IDEHA

Universidad del Norte

[email protected]