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CTAP Ex- 1 - Hurricane DRR

M and E Calculation View

Monitoring and Evaluation 2 Output Calculator

Introduction
This tool tracks monitoring and evaluation indicators for output uris. Up to 15 new M and E indicators can be added for each output.

Calculation View Description
This CTA is Example 1 in the Technology Assessment 2 tutorial.v218a

Version: 2.0.4

Feedback About carbon/output/CTAP Ex- 1 - Hurricane DRR/2141223461/me2

Step 1 of 3. Make Selections

M and E Indicators

Indicator 1

Indicator 2

Indicator 3

Indicator 4

Indicator 5

Indicator 6

Indicator 7

Indicator 8

Indicator 9

Indicator 10

Step 2 of 3. Enter M and E Indicators

Relations

Use In Childs?
Overwrite Childs?

More M and E Indicators

Indicator 11

Indicator 12

Indicator 13

Indicator 14

Indicator 15

Score

Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

Instructions

Step 1

  • Step 1. Indicators: Enter up to 10 indicators.
  • Step 1. Indicator Name and Description: Name and description for each indicator.
  • Step 1. Indicator Date: Make sure that the benchmark, targets, actual, indicators have distinct dates.
  • Step 1. Distribution Type: The numeric distribution of QT. Refer to the Stock Calculation 1 reference.
  • Step 1. Math Expression:A mathematical expression containing one or more of the Q1 to Q5 variables and/or sibling indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.Q1 + I1.Q2) * I1.Q3) + I1.Q4)) - (2 * I1.Q5)
  • Step 1. Math Operator Type: Mathematical operation to use with QT. MathTypes include: equalto, lessthan, greaterthan, lessthanorequalto, and greaterthanorequalto. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 1. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, QT, QTD1, and QTD2 to solve for QTM, QTL, and QTU. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 1. QT Amount and Unit: The Unit must be manually entered. The Amount will be the result of the mathematical calculation.
  • Step 1. QTD1 Amount and Unit: First distribution, or shape, parameter for QT.
  • Step 1. QTD2 Amount and Unit: Second distribution, or scale, for QT.
  • Step 1. BaseIO: Base input or output property to update with this indicator's QTM property.
  • Step 1. QTM Amount and Unit: Most Likely Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. QTL Amount and Unit: Low Estimate or QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. QTU Amount and Unit: High Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
  • Step 1. Math Result: TEXT string holding results of calculation.

Step 2

  • Step 2. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
  • Step 2. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
  • Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
  • Step 2. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
  • Step 2. Indicators: Enter up to 5 indicators.
  • Step 2. Target Type: Used with Progress analyzers to identify benchmark and actual indicators.
  • Step 2. Altern Type: Used with Change by Alternative analyzers to identify alternatives to compare.
  • Step 2. Score Math Expression: A mathematical expression containing one or more of the children indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.QTM + I2.QTM) * I3.Q3) + I4.QTM)) - (2 * I5.QTM)
  • Step 2. Score Total and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
  • Step 2. D1 Amount and Unit: First distribution variable for Score.
  • Step 2. D2 Amount and Unit: Second distribution for Score.
  • Step 2. Distribution Type: The numeric distribution of Score. Refer to the Stock Calculation 1 reference.
  • Step 2. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, Score, ScoreD1, and ScoreD2 to solve for ScoreM, ScoreL, and ScoreU. Refer to the Stock Calculation 1 reference for the algorithms.
  • Step 2. Most Likely, Low, High, Amounts and Units: Results of Distribution Type and Math Type calculations.
  • Step 2. Iterations: Number of iterations to use when drawing random number samples for some algorithms.
  • Step 2. Confidence Interval: Level of confidence interval to use when reporting all Score and Indicator high and low amounts. Should be an integer such as 95, 90, or 40.
  • Step 2. Random Seed: Any positive integer, except 0, will result in the same set of random variables being used each time a calculation is run.
  • Step 2. BaseIO: Base input or output property to update with the Score Most Likely property.

References

  • Refer to the M and E Introduction and Resource Stock Calculation references.

Current view of document
CTAP Ex- 1 - Hurricane DRR

Output Group: CTAP Output Examples

Output : CTAP Ex- 1 - Hurricane DRR

Indicators Details

Indic 0 Name: Disaster Score
Label: S0
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: normal
Math Sub Type: subalgorithm1
Base IO: none
Math Express: I6.QTM
Math Operator: equalto
QT Amount: 12.0432
QT Unit: most likely bcr
QT D1 Amount: 12.0237
QT D1 Unit: mean
QT D2 Amount: 3.0000
QT D2 Unit: sd
QT Most Amount: 11.9752
QT Most Unit: most likely
QT Low Amount: 11.8160
QT Low Unit: lower 90 % ci
QT High Amount: 12.1344
QT High Unit: upper 90 % ci
Score Math Result: sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 1000, 11975.1804, 11.9752, 11.9076, 3.0510, 9.3086, 0.1870, 21.3727, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 0.1870,7.9783,9.3896,10.4272,11.2364,11.9081,12.6545,13.5582,14.5647,16.0759,21.3727
Indic 1 Name: Hazard Distribution
Label: 1A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type:
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 104.8302
Q1 Unit: 100year
Q2 Amount: 78.6227
Q2 Unit: 50year
Q3 Amount: 52.4151
Q3 Unit: 25year
Q4 Amount: 36.6906
Q4 Unit: 10year
Q5 Amount: 26.2076
Q5 Unit: 5year
Math Express: I1.Q1.distribtype + I1.Q2.100year + I1.Q3. 50year + I1.Q4.25year + I1.Q5.10year + I1.Q6.5year
Math Operator: equalto
QT Amount: 49.8750
QT Unit: wind spped
QT D1 Amount: 49.8750
QT D1 Unit: none
QT D2 Amount: 4.9875
QT D2 Unit: none
QT Most Amount: 49.7943
QT Most Unit: mean wind speed mph
QT Low Amount: 49.5297
QT Low Unit: lower 90 % ci
QT High Amount: 50.0590
QT High Unit: upper 90 % ci
Indic 1 Description: Each reach is described by a probability distribution (QTs) defined by the event probability (1, 2, 4, 10, 20 percent) and the associate quantity of the hazard (the matrix numbers).
Indic 2 Name: Exposure Distribution
Label: 2A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 2,196,441.8938
Q1 Unit: location 1 total value
Q2 Amount: 2,081,627.8856
Q2 Unit: location 2 total value
Q3 Amount: 0.0000
Q3 Unit: none
Q4 Amount: 0.0000
Q4 Unit: none
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I2.Q1.distribtype + I2.Q2.QT + I2.Q3.QTUnit + I2.Q4.QTD1+ I2.Q5.QTD1Unit + I2.Q6.QTD2 + I2.Q7.QTD2Unit + I2.Q8.normalization + I2.Q9.weight + I2.Q10.quantity
Math Operator: equalto
QT Amount: 4,278,069.7794
QT Unit: 1, 2 totals
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 4,278,069.7794
QT Most Unit: drr all locations
QT Low Amount: 4,255,331.5981
QT Low Unit: lower 90 % ci
QT High Amount: 4,300,807.9607
QT High Unit: upper 90 % ci
Indic 2 Description: The total value of each asset type is described by a probability distribution (QTs) calculated from the price (p1) and quantity (q1) of the asset.
Indic 3 Name: Vulnerability Distribution
Label: 3A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 5.2416
Q1 Unit: 5year
Q2 Amount: 38.7872
Q2 Unit: 10year
Q3 Amount: 135.7550
Q3 Unit: 25year
Q4 Amount: 203.3705
Q4 Unit: 50year
Q5 Amount: 273.6069
Q5 Unit: 100year
Math Express: I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year
Math Operator: equalto
QT Amount: 0.0000
QT Unit: total percent damage
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 17.1607
QT Most Unit: total percent damage
QT Low Amount: 17.0695
QT Low Unit: lower 90 % ci
QT High Amount: 17.2519
QT High Unit: upper 90 % ci
Indic 3 Description: The damage percent for each asset type is described by a probability distribution (QTs) defined by the flood depth (0.5, 1.0, 1.5, 2.0, 2.5) and the percent of asset damage (the matrix numbers).
Indic 4 Name: Loss EP Distribution
Label: 4A
Date: 01/01/2005
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 5,516.0643
Q1 Unit: 5year
Q2 Amount: 59,925.9235
Q2 Unit: 10year
Q3 Amount: 284,872.5233
Q3 Unit: 25year
Q4 Amount: 521,089.3660
Q4 Unit: 50year
Q5 Amount: 926,494.1342
Q5 Unit: 100year
Math Express: I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year
Math Operator: equalto
QT Amount: 0.0000
QT Unit: total avg ann damages
QT D1 Amount: 0.0000
QT D1 Unit:
QT D2 Amount: 0.0000
QT D2 Unit:
QT Most Amount: 38,177.4348
QT Most Unit: total avg ann damages
QT Low Amount: 37,783.9036
QT Low Unit: lower 90 % ci
QT High Amount: 38,573.1035
QT High Unit: upper 90 % ci
Indic 4 Description: The damages for each asset type is described by a probability distribution (QTs) defined by the event probability (20, 10, 4, 2, 1) and the total damages (the matrix numbers).
Indic 5 Name: Project Costs
Label: 5A
Date: 01/01/2005
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 0.0000
Q1 Unit: none
Q2 Amount: 0.0000
Q2 Unit: none
Q3 Amount: 0.0000
Q3 Unit: none
Q4 Amount: 0.0000
Q4 Unit: none
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib + I5.Q5.isprojectcost
Math Operator: equalto
QT Amount: 0.0000
QT Unit: mean avg annual costs
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 3,023.6317
QT Most Unit: mean avg annual costs
QT Low Amount: 3,007.5609
QT Low Unit: lower 90 % ci
QT High Amount: 3,039.7026
QT High Unit: upper 90 % ci
Indic 5 Description: The cost for each project alternative is described as the probability of average annual costs (QTs).
Indic 6 Name: Benefit Cost Analysis
Label: 6A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 538,070.6497
Q1 Unit: base damage
Q2 Amount: 232.3824
Q2 Unit: base cost
Q3 Amount: 386,118.2691
Q3 Unit: AC1A_B damage
Q4 Amount: 12,849.6552
Q4 Unit: AC1A_B cost
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I6.Q1.distribtype + I6.Q2.100year + I6.Q3.50year + I6.Q4.25year + I6.Q5.10year + I6.Q6.5year
Math Operator: equalto
QT Amount: 139,335.1079
QT Unit: net benefits
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 12.0432
QT Most Unit: 2_QTM_0.05_25, bcr
QT Low Amount: 11.9977
QT Low Unit: lower 90 % ci
QT High Amount: 12.1065
QT High Unit: upper 90 % ci
Indic 6 Description: The Math Results from Indicator 4 define average annual benefits and the Math Results from Indicator 5 defines average annual costs. Benefits are defined as the reduction in damages of each project alternative in comparison to the baseline.
Indic 7 Name: Cost Effectiveness Analysis
Label: 7A
Date: 10/02/2015
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 38,177.4348
Q1 Unit: base damage
Q2 Amount: 195.2062
Q2 Unit: base cost
Q3 Amount: 27,396.0400
Q3 Unit: AC1A_B damage
Q4 Amount: 12,008.7980
Q4 Unit: AC1A_B cost
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I7.Q1.distribtype + I7.Q2.100year + I7.Q3.50year + I7.Q4.25year + I7.Q5.10year + I7.Q6.5year
Math Operator: equalto
QT Amount: 1.0957
QT Unit: net benefits
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 1.0957
QT Most Unit: 2_QTM_0.12_10, cer
QT Low Amount: 1.0999
QT Low Unit: lower 90 % ci
QT High Amount: 1.0900
QT High Unit: upper 90 % ci
Indic 7 Description: The URL dataset define average annual benefits from non monetary disaster loss reductions and the Math Results from Indicator 5 defines average annual costs. Benefits are defined as the reduction in damages of each project alternative in comparison to the

Output Series : CTAP Ex- 1 - Hurricane DRR

Indicators Details

Indic 0 Name: Disaster Score
Label: S0
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: normal
Math Sub Type: subalgorithm1
Base IO: none
Math Express: I6.QTM
Math Operator: equalto
QT Amount: 12.0432
QT Unit: most likely bcr
QT D1 Amount: 12.0237
QT D1 Unit: mean
QT D2 Amount: 3.0000
QT D2 Unit: sd
QT Most Amount: 11.9752
QT Most Unit: most likely
QT Low Amount: 11.8160
QT Low Unit: lower 90 % ci
QT High Amount: 12.1344
QT High Unit: upper 90 % ci
Score Math Result: sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 1000, 11975.1804, 11.9752, 11.9076, 3.0510, 9.3086, 0.1870, 21.3727, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 0.1870,7.9783,9.3896,10.4272,11.2364,11.9081,12.6545,13.5582,14.5647,16.0759,21.3727
Indic 1 Name: Hazard Distribution
Label: 1A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type:
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 104.8302
Q1 Unit: 100year
Q2 Amount: 78.6227
Q2 Unit: 50year
Q3 Amount: 52.4151
Q3 Unit: 25year
Q4 Amount: 36.6906
Q4 Unit: 10year
Q5 Amount: 26.2076
Q5 Unit: 5year
Math Express: I1.Q1.distribtype + I1.Q2.100year + I1.Q3. 50year + I1.Q4.25year + I1.Q5.10year + I1.Q6.5year
Math Operator: equalto
QT Amount: 49.8750
QT Unit: wind spped
QT D1 Amount: 49.8750
QT D1 Unit: none
QT D2 Amount: 4.9875
QT D2 Unit: none
QT Most Amount: 49.7943
QT Most Unit: mean wind speed mph
QT Low Amount: 49.5297
QT Low Unit: lower 90 % ci
QT High Amount: 50.0590
QT High Unit: upper 90 % ci
Indic 1 Description: Each reach is described by a probability distribution (QTs) defined by the event probability (1, 2, 4, 10, 20 percent) and the associate quantity of the hazard (the matrix numbers).
Indic 2 Name: Exposure Distribution
Label: 2A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 2,196,441.8938
Q1 Unit: location 1 total value
Q2 Amount: 2,081,627.8856
Q2 Unit: location 2 total value
Q3 Amount: 0.0000
Q3 Unit: none
Q4 Amount: 0.0000
Q4 Unit: none
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I2.Q1.distribtype + I2.Q2.QT + I2.Q3.QTUnit + I2.Q4.QTD1+ I2.Q5.QTD1Unit + I2.Q6.QTD2 + I2.Q7.QTD2Unit + I2.Q8.normalization + I2.Q9.weight + I2.Q10.quantity
Math Operator: equalto
QT Amount: 4,278,069.7794
QT Unit: 1, 2 totals
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 4,278,069.7794
QT Most Unit: drr all locations
QT Low Amount: 4,255,331.5981
QT Low Unit: lower 90 % ci
QT High Amount: 4,300,807.9607
QT High Unit: upper 90 % ci
Indic 2 Description: The total value of each asset type is described by a probability distribution (QTs) calculated from the price (p1) and quantity (q1) of the asset.
Indic 3 Name: Vulnerability Distribution
Label: 3A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 5.2416
Q1 Unit: 5year
Q2 Amount: 38.7872
Q2 Unit: 10year
Q3 Amount: 135.7550
Q3 Unit: 25year
Q4 Amount: 203.3705
Q4 Unit: 50year
Q5 Amount: 273.6069
Q5 Unit: 100year
Math Express: I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year
Math Operator: equalto
QT Amount: 0.0000
QT Unit: total percent damage
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 17.1607
QT Most Unit: total percent damage
QT Low Amount: 17.0695
QT Low Unit: lower 90 % ci
QT High Amount: 17.2519
QT High Unit: upper 90 % ci
Indic 3 Description: The damage percent for each asset type is described by a probability distribution (QTs) defined by the flood depth (0.5, 1.0, 1.5, 2.0, 2.5) and the percent of asset damage (the matrix numbers).
Indic 4 Name: Loss EP Distribution
Label: 4A
Date: 01/01/2005
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 5,516.0643
Q1 Unit: 5year
Q2 Amount: 59,925.9235
Q2 Unit: 10year
Q3 Amount: 284,872.5233
Q3 Unit: 25year
Q4 Amount: 521,089.3660
Q4 Unit: 50year
Q5 Amount: 926,494.1342
Q5 Unit: 100year
Math Express: I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year
Math Operator: equalto
QT Amount: 0.0000
QT Unit: total avg ann damages
QT D1 Amount: 0.0000
QT D1 Unit:
QT D2 Amount: 0.0000
QT D2 Unit:
QT Most Amount: 38,177.4348
QT Most Unit: total avg ann damages
QT Low Amount: 37,783.9036
QT Low Unit: lower 90 % ci
QT High Amount: 38,573.1035
QT High Unit: upper 90 % ci
Indic 4 Description: The damages for each asset type is described by a probability distribution (QTs) defined by the event probability (20, 10, 4, 2, 1) and the total damages (the matrix numbers).
Indic 5 Name: Project Costs
Label: 5A
Date: 01/01/2005
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 0.0000
Q1 Unit: none
Q2 Amount: 0.0000
Q2 Unit: none
Q3 Amount: 0.0000
Q3 Unit: none
Q4 Amount: 0.0000
Q4 Unit: none
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib + I5.Q5.isprojectcost
Math Operator: equalto
QT Amount: 0.0000
QT Unit: mean avg annual costs
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 3,023.6317
QT Most Unit: mean avg annual costs
QT Low Amount: 3,007.5609
QT Low Unit: lower 90 % ci
QT High Amount: 3,039.7026
QT High Unit: upper 90 % ci
Indic 5 Description: The cost for each project alternative is described as the probability of average annual costs (QTs).
Indic 6 Name: Benefit Cost Analysis
Label: 6A
Date: 11/23/2016
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 538,070.6497
Q1 Unit: base damage
Q2 Amount: 232.3824
Q2 Unit: base cost
Q3 Amount: 386,118.2691
Q3 Unit: AC1A_B damage
Q4 Amount: 12,849.6552
Q4 Unit: AC1A_B cost
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I6.Q1.distribtype + I6.Q2.100year + I6.Q3.50year + I6.Q4.25year + I6.Q5.10year + I6.Q6.5year
Math Operator: equalto
QT Amount: 139,335.1079
QT Unit: net benefits
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 12.0432
QT Most Unit: 2_QTM_0.05_25, bcr
QT Low Amount: 11.9977
QT Low Unit: lower 90 % ci
QT High Amount: 12.1065
QT High Unit: upper 90 % ci
Indic 6 Description: The Math Results from Indicator 4 define average annual benefits and the Math Results from Indicator 5 defines average annual costs. Benefits are defined as the reduction in damages of each project alternative in comparison to the baseline.
Indic 7 Name: Cost Effectiveness Analysis
Label: 7A
Date: 10/02/2015
Rel Label: none
Math Type: algorithm1
Dist Type: none
Math Sub Type: subalgorithm9
Base IO: none
Q1 Amount: 38,177.4348
Q1 Unit: base damage
Q2 Amount: 195.2062
Q2 Unit: base cost
Q3 Amount: 27,396.0400
Q3 Unit: AC1A_B damage
Q4 Amount: 12,008.7980
Q4 Unit: AC1A_B cost
Q5 Amount: 0.0000
Q5 Unit: none
Math Express: I7.Q1.distribtype + I7.Q2.100year + I7.Q3.50year + I7.Q4.25year + I7.Q5.10year + I7.Q6.5year
Math Operator: equalto
QT Amount: 1.0957
QT Unit: net benefits
QT D1 Amount: 0.0000
QT D1 Unit: none
QT D2 Amount: 0.0000
QT D2 Unit: none
QT Most Amount: 1.0957
QT Most Unit: 2_QTM_0.12_10, cer
QT Low Amount: 1.0999
QT Low Unit: lower 90 % ci
QT High Amount: 1.0900
QT High Unit: upper 90 % ci
Indic 7 Description: The URL dataset define average annual benefits from non monetary disaster loss reductions and the Math Results from Indicator 5 defines average annual costs. Benefits are defined as the reduction in damages of each project alternative in comparison to the
Dataset: CTAP Ex- 1 - Hurricane DRR IRI This output is used to support a CTAP tutorial for hurricane Disaster Risk Reductions in St. Lucia, Caribbean









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