C5 Approach Implementation Experiences in Vietnam Luang Prabang, - - PowerPoint PPT Presentation

c5 approach implementation experiences in vietnam
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C5 Approach Implementation Experiences in Vietnam Luang Prabang, - - PowerPoint PPT Presentation

FMMP-C 5 Flood Management and Mitigation Programme - Land Management Component - C5 Approach Implementation Experiences in Vietnam Luang Prabang, February 2011 Contents Pilot areas Establishment of Flood marks and Bill boards Data


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C5 Approach Implementation Experiences in Vietnam

Luang Prabang, February 2011 FMMP-C 5 Flood Management and Mitigation Programme

  • Land Management Component -
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Contents

  • Pilot areas
  • Establishment of Flood marks and Bill boards
  • Data sources
  • Processing

hydrological data for use with MapStats software

  • Mapping flood statistics
  • Validating the results
  • Conclusions and Recommendations
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Pilot areas

  • Pilot

areas in Tam Nong district

  • Dong Thap

province and Chau Phu district - An Giang province.

  • Every year, the study area usually flooded from

August until November

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Establishment of Flood marks and Bill boards

  • 16 flood marks in

Tam Nong

  • 22 flood marks in

Chau Phu

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Establishment of Flood marks and Bill boards

  • 2 bill boards at Chau

Phu

  • 2 bill boards at Tam

Nong

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Data sources

  • DEM

– DEM is supported by Vietnam Remote Sensing Center (VNRSC) – Resolution: (5 x 5) m

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Data sources

  • Daily

river levels since 1979 from Tan Chau and Chau Doc

  • Daily

records from flood marks during the flood season for 2009 and 2010 in Tam Nong and Chau Phu pilot areas

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Processing hydrological data for use with MapStats software

  • Calculate statistics

from the long river records using MainStem software

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Processing hydrological data for use with MapStats software

  • We

transfer this statistical information to the flood plains by correlation, which is defined by analysis carried

  • ut

in a spreadsheet.

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Processing hydrological data for use with MapStats software

  • Flood recessions

parameters

– To predict how quickly the floodwater recedes – and to know when completion of drainage takes place

Fitting the recession curve 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 10 20 30 40 50

Days after the start of draining Mean flood mark level (m amsl) Mean observed Equation

Tam Nong

Fitting the recession curve

0.00 0.50 1.00 1.50 2.00 2.50 3.00 5 10 15 20 25 30 35 40 45 Days after the start of draining Mean flood mark level (m amsl) Mean observed Equation

Chau Phu

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Data for the MapStats program

MapStats needs several kinds of information: Lists – district names, river stations, probabilities Classification data – to correctly interpret the maps Rasters – for topography (DTM) and sub-areas Statistical data – parameters for river statistics Correlation data – parameters for the correlation model(s) Drainage rates – recession parameters Any other sub-area data such as slope and time delay

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Data for the MapStats program

  • Input data for MapStats

software.

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Mapping flood statistics

  • Types of maps
  • Maximum depth of flooding *
  • Probability of flooding
  • Start of flooding *
  • Date of completion of draining *
  • Duration of flooding *

*These maps can be drawn for up to 10 different levels of risk (probability of exceedence)

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Mapping flood statistics

  • Start of flooding
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Mapping flood statistics

  • Duration of flooding
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Mapping flood statistics

  • Completion of flooding
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Mapping flood statistics

  • Maximum depth of flooding
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Mapping flood statistics

  • Maximum depth of flooding (2000)
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Mapping flood statistics

  • Probability of flooding
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0.50 1.00 1.50 2.00 2.50 3.00 0.20 0.30 0.40 0.50 0.60 0.70 0.80 Ground elevation (masl) Maximum depth of flood (m) CP-MDF10 CP-MDF50 CP-MDF65 MDF2009 CP-MDF90 Linear (CP-MDF10) Linear (CP-MDF50) Linear (CP-MDF65) Linear (MDF2009) Linear (CP-MDF90) 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 0.000 0.500 1.000 1.500 2.000 2.500 Ground Elevation (masl) Maximum depth flood (m) TN-MDF10 TN-MDF50 TN-MDF58 MDF2009 TN-MDF90 Linear (TN-MDF10) Linear (TN-MDF50) Linear (TN-MDF58) Linear (MDF2009) Linear (TN-MDF90)

Validating the results

  • Compare maximum depth of flooding between prediction and observation
  • The maximum WL at Chau Doc in 2009 is 3.52 m (Probability of exceedence is 65%) and

maximum WL at Tan Chau is 4.09 m (Probability of exceedence is 58%)

  • The results of the analysis suggest that the MapStats analysis for Chau Phu and Tam

Nong under-estimates the maximum depth of flooding (MDF) by a small amount. 0.25m (average

  • ver 9 flood marks)

0.11m (average over 21 flood marks)

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Validating the results

  • Maximum depth of flooding (2000)
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Conclusions and Recommendations

  • Pilot areas have dike systems, so the result of some types of

maps such as the Start of flooding, Completion of flooding, Duration of flooding... may be affected by the flood prevention in August and pumping in November.

  • Because of short measured data in the flooded area (2009

and 2010), so the input parameters for the MapStats software may not be accurate. It is therefore important that the

  • bservations continue, and that they are used to evaluate and

continually improve the quality of predictions.

  • Results

calculated maximum depth

  • f

flooding is quite consistent with the measured data.

  • Five types of maps, which are made by MapStats software,

are very useful for Agriculture and land management, Infrastructure planning (roads, embankments, public buildings) and Flood awareness and mitigation. Thus, we propose to continue this study apply to other areas in Vietnam.

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Thank you very much for your kind attention!