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CTAP Example 6 - Drought DRR and DSS

#### Stock Budgeting 1 Output Calculator

Introduction
This tool tracks resource stock indicators for output uris. Up to 15 new indicators can be added for each output.

Calculation View Description
This example can be found in the CTAP reference in the Social Performance Analysis tutorial. v218a

Version: 1.9.0

#### Relations

Use In Childs?
Overwrite Childs?

#### 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.

#### 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 Amount and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
• Step 2. ScoreD1 Amount and Unit: First distribution variable for Score.
• Step 2. ScoreD2 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. Score 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. Score Most Likely, Score Low, Score 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 interal 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. Score BaseIO: Base input or output property to update with the Score Most Likely property.

#### References

• Refer to the Stock Calculation 1 reference.

Current view of document
CTAP Example 6 - Drought DRR and DSS
Output Group
CTAP Output Examples
Output
CTAP Example 6 - Drought DRR and DSS
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
924.5413 base MCA score 910.0722 low ci 939.0103 high ci 1000 90 5 none
924.5413 mca all locations for A 910.0722 lower 90 % ci 939.0103 upper 90 % ci none algorithm1 subalgorithm12 1
I0.Q1.distribtype + I0.Q2.QT + I0.Q3.QTUnit + I0.Q4.QTD1+ I0.Q5.QTD1Unit + I0.Q6.QTD2 + I0.Q7.QTD2Unit + I0.Q8.normalization + I0.Q9.weight + I0.Q10.quantity
https://devtreks1.blob.core.windows.net/resources/network_carbon/resourcepack_1543/resource_8058/Score-MCA-Result.csv
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Hazard Distribution 1A 01/27/2016 algorithm1 none none equalto subalgorithm9
49.9859 200year 99.9718 100year 199.9435 50year 299.9153 25year 499.8588 10year
238.5714 238.5714 71.5714 238.5041 234.7398 lower 90 % ci 242.2684 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I1.Q1.distribtype + I1.Q2.200year + I1.Q3.100year + I1.Q4. 50year + I1.Q5.25year + I1.Q6.10year + I1.Q7.5year
Exposure Distribution 2A 01/27/2016 algorithm1 none none equalto subalgorithm9
59,483.1991 location 1 total value 50,560.7194 location 2 total value 0.0000 none 0.0000 none 0.0000 none
110,043.9185 1, 2 totals 0.0000 0.0000 110,043.9185 drr all locations 108,307.0972 lower 90 % ci 111,780.7398 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
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
Vulnerability Distribution 3A 01/27/2016 algorithm1 none none equalto subalgorithm9
99.9720 5year 149.9576 10year 224.9364 25year 274.9224 50year 349.9010 100year
0.0000 0.0000 0.0000 55.1095 total percent damage 54.2396 lower 90 % ci 55.9793 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year + I3.Q7.200year
Loss EP Distribution 4A 01/27/2016 algorithm1 none none equalto subalgorithm9
16,732.0391 5year 25,100.9253 10year 39,531.4329 25year 50,613.3502 50year 70,278.5591 100year
0.0000 0.0000 0.0000 9,650.6418 total avg ann damages 9,349.0912 lower 90 % ci 9,958.0381 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year + I4.7.200year
Cost Distribution 5A 01/27/2016 algorithm1 none none equalto subalgorithm9
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 mean avg annual costs 0.0000 0.0000 2,661.7080 mean avg annual costs 2,619.7988 lower 90 % ci 2,703.6172 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib+I5.Q5.isprojectcost
BCA Distribution 6A 01/27/2016 algorithm1 none none equalto subalgorithm9
136,015.6106 base damage 193.2770 base cost 53,474.4200 AC1A_A damage 10,571.6304 AC1A_A cost 0.0000 none
72,162.8372 net benefits 0.0000 0.0000 7.9532 2_QTM_0.05_25, bcr 7.8298 lower 90 % ci 8.0774 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I6.Q1.distribtype + I6.Q2.200year + I6.3.100year + I6.Q4.50year + I6.Q5.25year + I6.Q6.10year + I6.Q7.5year
CEA Distribution 7A 01/27/2016 algorithm1 none none equalto subalgorithm9
9,650.6418 base damage 179.9168 base cost 3,794.1415 AC1A_A damage 6,838.7116 AC1A_A cost 0.0000 none
1.1370 net benefits 0.0000 0.0000 1.1370 2_QTM_0.12_15, cer 1.1548 lower 90 % ci 1.1196 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I7.Q1.distribtype + I7.Q2.200year + I7.Q3.100year + I7.Q4.50year + I7.Q5.25year + I7.Q6.10year + I7.Q7.5year
Output Series: CTAP Example 6 - Drought DRR and DSS
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
924.5413 base MCA score 910.0722 low ci 939.0103 high ci 1000 90 5 none
924.5413 mca all locations for A 910.0722 lower 90 % ci 939.0103 upper 90 % ci none algorithm1 subalgorithm12 1
I0.Q1.distribtype + I0.Q2.QT + I0.Q3.QTUnit + I0.Q4.QTD1+ I0.Q5.QTD1Unit + I0.Q6.QTD2 + I0.Q7.QTD2Unit + I0.Q8.normalization + I0.Q9.weight + I0.Q10.quantity
https://devtreks1.blob.core.windows.net/resources/network_carbon/resourcepack_1543/resource_8058/Score-MCA-Result.csv
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Hazard Distribution 1A 01/27/2016 algorithm1 none none equalto subalgorithm9
49.9859 200year 99.9718 100year 199.9435 50year 299.9153 25year 499.8588 10year
238.5714 238.5714 71.5714 238.5041 234.7398 lower 90 % ci 242.2684 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I1.Q1.distribtype + I1.Q2.200year + I1.Q3.100year + I1.Q4. 50year + I1.Q5.25year + I1.Q6.10year + I1.Q7.5year
Exposure Distribution 2A 01/27/2016 algorithm1 none none equalto subalgorithm9
59,483.1991 location 1 total value 50,560.7194 location 2 total value 0.0000 none 0.0000 none 0.0000 none
110,043.9185 1, 2 totals 0.0000 0.0000 110,043.9185 drr all locations 108,307.0972 lower 90 % ci 111,780.7398 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
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
Vulnerability Distribution 3A 01/27/2016 algorithm1 none none equalto subalgorithm9
99.9720 5year 149.9576 10year 224.9364 25year 274.9224 50year 349.9010 100year
0.0000 0.0000 0.0000 55.1095 total percent damage 54.2396 lower 90 % ci 55.9793 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I3.Q1.distribtype + I3.Q2.5year + I3.Q3.10year + I3.Q4.25year + I3.Q5.50year + I3.Q6.100year + I3.Q7.200year
Loss EP Distribution 4A 01/27/2016 algorithm1 none none equalto subalgorithm9
16,732.0391 5year 25,100.9253 10year 39,531.4329 25year 50,613.3502 50year 70,278.5591 100year
0.0000 0.0000 0.0000 9,650.6418 total avg ann damages 9,349.0912 lower 90 % ci 9,958.0381 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I4.Q1.distribtype + I4.Q2.5year + I4.Q3.10year + I4.Q4.25year + I4.Q5.50year + I4.Q6.100year + I4.7.200year
Cost Distribution 5A 01/27/2016 algorithm1 none none equalto subalgorithm9
0.0000 0.0000 0.0000 0.0000 0.0000
0.0000 mean avg annual costs 0.0000 0.0000 2,661.7080 mean avg annual costs 2,619.7988 lower 90 % ci 2,703.6172 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I5.Q1.installcost + I5.Q2.installdistrib + I5.Q3.omcost+ I5.Q4.omdistrib+I5.Q5.isprojectcost
BCA Distribution 6A 01/27/2016 algorithm1 none none equalto subalgorithm9
136,015.6106 base damage 193.2770 base cost 53,474.4200 AC1A_A damage 10,571.6304 AC1A_A cost 0.0000 none
72,162.8372 net benefits 0.0000 0.0000 7.9532 2_QTM_0.05_25, bcr 7.8298 lower 90 % ci 8.0774 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I6.Q1.distribtype + I6.Q2.200year + I6.3.100year + I6.Q4.50year + I6.Q5.25year + I6.Q6.10year + I6.Q7.5year
CEA Distribution 7A 01/27/2016 algorithm1 none none equalto subalgorithm9
9,650.6418 base damage 179.9168 base cost 3,794.1415 AC1A_A damage 6,838.7116 AC1A_A cost 0.0000 none
1.1370 net benefits 0.0000 0.0000 1.1370 2_QTM_0.12_15, cer 1.1548 lower 90 % ci 1.1196 upper 90 % ci
This Indicator is used in a CTAP tutorial demonstrating disaster risk reduction and decision support systems for drought in Uttar Pradesh, India.
I7.Q1.distribtype + I7.Q2.200year + I7.Q3.100year + I7.Q4.50year + I7.Q5.25year + I7.Q6.10year + I7.Q7.5year
This output is used to support a CTAP tutorial for droughts in Uttar Pradesh, India.