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CE 3200
An Evaluation of Risk-Based Agricultural Land-Use
Adjustments Under a Flood Management Strategy in a
Floodplain
Muhammad Atiq Ur Rehman Tariq, Zohreh Rajabi and Nitin Muttil
Presented by,
Md. Shahariar Kabir
Roll: 1701018 Sec: A
Supervised by,
Dr. Md. Shahjahan Ali
Professor
Department of Civil Engineering, KUET, Khulna-9203
Background Studies
 Agricultural damage due to floods has been the most damaging
disaster in Pakistan.
 Pakistan total expenditure for flood work over 113 million USD
excluding loss of life & relief costs.
In this paper, a new strategy to develop to reduce overall economic
loss by using Expected Annual Damage (EAD) and overall benefits
of the floodplain in terms of Economic Rent (ER) of Chenab River
in Pakistan
Objective
 To demonstrate the land-use adaptions gains in a
floodplain in terms of overall agricultural land-use
profit.
 To identified the area where rice & maize are
comparatively economical.
Methodology
Flood Management Scheme Design System
Floodplain
Support
System
Storm
forecasting
Floodplain
Management
System
Floodplain
Condition
Analysis
Shortlisting
Metrics
Flood
management
Strategy
Flood
Forecasting
Emergency
Warning
Flood Control
Scheme
Simulation
Modified
Disaster
Prediction
Risk Based Approach
Risk= Hazard X Vulnerability
Hazard = Probability X Intensity
Vulnerability = Susceptibility X Exposure
1
𝑅𝑒𝑡𝑢𝑟𝑛 𝑃𝑒𝑟𝑖𝑜𝑑
Cause the damage
Ability of people/asset living in
floodplain withstand negative
consequences.
Resistance &
preparedness of
society
System’s Vulnerability Hazard Characteristics
Exposure Susceptibility Intensity Probability
Exposure
Maps
Susceptibility
Maps
Intensity
Maps
Damage
Maps
Risk
Maps
Expected
Annual
Damages
Obtain
GIS Data
Sets
Development
of GIS layers
Flood Modelling
Build topographical data
Develop exposure map
Produce susceptibility function
Develop hydrodynamic model
Run hydrodynamic model
Produce flood probability map
Land Use
method
Produce
flood
risk map
Cropping
Practices
Settlements
Zoning
Calculate land use benefits
for maize & rice
Identify the areas with
higher benefits
Evaluate benefits for
land use combination
Calculate EAD
Develop EAD map
Theoretical relocation
of settlements
Continued…
Fig: Stage damage functions
Da,i = Fa(d) X Da,max
Where, Da,i = damage against flood of
probability ‘i’
Fa(d) = Stage damage function
Da,max= maximum possible damage
Calculation
EAD = Di X Pi
Di= average flood damage
Pi= incremental probabilities
Rn = Rloc + Rint
Rloc = Location benefits
Rint = Intensifying benefits
Result & Discussion
 Figure 9 shows, rice is
causing 0.2 million USD
loss during flood season in
recommended 106.55 km2
area.
 Maize is generate 0.144
million USD profit in same
area.
Continued…
 There are 68 settlements with
482.64 ha affected in floodplain.
 Expected flood damage of these
settlements 0.508 millions USD.
Relocation of settlements causes
reduced cost 0.011 million USD.
For travelling cost, it is reduced
0.174 million USD.
 So, resulting net reduction
0.323 million USD.
Conclusion
Based on result, fluvial floodplain divided into three zones
1. Frequent flooding zone - 2 year return period
2. Medium flooding zone - 2 year to 50 year return period
3. Rare flooding zone - 50 year return period
At, frequent flooding zone harvesting maize may be
more economical. At rare flooding zone harvesting
rice may be economical. Medium flooding is critical.
These result is important to decision making process
for water managers and politicians.
An evalauation of risk based agricultural land use adjustments under a flood management strategy in a floodplain.pptx

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An evalauation of risk based agricultural land use adjustments under a flood management strategy in a floodplain.pptx

  • 1. CE 3200 An Evaluation of Risk-Based Agricultural Land-Use Adjustments Under a Flood Management Strategy in a Floodplain Muhammad Atiq Ur Rehman Tariq, Zohreh Rajabi and Nitin Muttil Presented by, Md. Shahariar Kabir Roll: 1701018 Sec: A Supervised by, Dr. Md. Shahjahan Ali Professor Department of Civil Engineering, KUET, Khulna-9203
  • 2. Background Studies  Agricultural damage due to floods has been the most damaging disaster in Pakistan.  Pakistan total expenditure for flood work over 113 million USD excluding loss of life & relief costs. In this paper, a new strategy to develop to reduce overall economic loss by using Expected Annual Damage (EAD) and overall benefits of the floodplain in terms of Economic Rent (ER) of Chenab River in Pakistan
  • 3. Objective  To demonstrate the land-use adaptions gains in a floodplain in terms of overall agricultural land-use profit.  To identified the area where rice & maize are comparatively economical.
  • 4. Methodology Flood Management Scheme Design System Floodplain Support System Storm forecasting Floodplain Management System Floodplain Condition Analysis Shortlisting Metrics Flood management Strategy Flood Forecasting Emergency Warning Flood Control Scheme Simulation Modified Disaster Prediction
  • 5. Risk Based Approach Risk= Hazard X Vulnerability Hazard = Probability X Intensity Vulnerability = Susceptibility X Exposure 1 𝑅𝑒𝑡𝑢𝑟𝑛 𝑃𝑒𝑟𝑖𝑜𝑑 Cause the damage Ability of people/asset living in floodplain withstand negative consequences. Resistance & preparedness of society
  • 6. System’s Vulnerability Hazard Characteristics Exposure Susceptibility Intensity Probability Exposure Maps Susceptibility Maps Intensity Maps Damage Maps Risk Maps Expected Annual Damages
  • 7. Obtain GIS Data Sets Development of GIS layers Flood Modelling Build topographical data Develop exposure map Produce susceptibility function Develop hydrodynamic model Run hydrodynamic model Produce flood probability map Land Use method
  • 8. Produce flood risk map Cropping Practices Settlements Zoning Calculate land use benefits for maize & rice Identify the areas with higher benefits Evaluate benefits for land use combination Calculate EAD Develop EAD map Theoretical relocation of settlements Continued…
  • 9. Fig: Stage damage functions Da,i = Fa(d) X Da,max Where, Da,i = damage against flood of probability ‘i’ Fa(d) = Stage damage function Da,max= maximum possible damage Calculation EAD = Di X Pi Di= average flood damage Pi= incremental probabilities Rn = Rloc + Rint Rloc = Location benefits Rint = Intensifying benefits
  • 10. Result & Discussion  Figure 9 shows, rice is causing 0.2 million USD loss during flood season in recommended 106.55 km2 area.  Maize is generate 0.144 million USD profit in same area.
  • 11. Continued…  There are 68 settlements with 482.64 ha affected in floodplain.  Expected flood damage of these settlements 0.508 millions USD. Relocation of settlements causes reduced cost 0.011 million USD. For travelling cost, it is reduced 0.174 million USD.  So, resulting net reduction 0.323 million USD.
  • 12. Conclusion Based on result, fluvial floodplain divided into three zones 1. Frequent flooding zone - 2 year return period 2. Medium flooding zone - 2 year to 50 year return period 3. Rare flooding zone - 50 year return period At, frequent flooding zone harvesting maize may be more economical. At rare flooding zone harvesting rice may be economical. Medium flooding is critical. These result is important to decision making process for water managers and politicians.