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2014 Fertilizer, Orange, Conventional

Stock Calculation View

Stock Budgeting 1 Input Calculator

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

Calculation View Description
214a

Version: 1.9.0

Feedback About carbon/input/2014 Fertilizer, Orange, Conventional/2147397531/sb01

Step 1 of 3. Make Selections

Stock 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 Stock Indicators

Relations

Use In Childs?
Overwrite Childs?

More Stock Indicators

Indicator 11

Indicator 12

Indicator 13

Indicator 14

Indicator 15

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 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 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. 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
2014 Fertilizer, Orange, Conventional
Input Group
LCA Nutrients, Organic Crops
Input
2014 Fertilizer, Orange, Conventional
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
14.8219 environmental performance 14.8000 mean 1.5000 sd 10000 90 2 none
14.8093 mean 14.7848 lower 90 % ci 14.8338 upper 90 % ci normal algorithm1 subalgorithm1 1
(I4.QTM+I5.QTM+I6.QTM+I7.QTM+I8.QTM)/5
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 148093.3526, 14.8093, 14.8233, 1.4863, 2.2092, 9.0377, 20.0766, 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 9.0377,12.9130,13.5503,14.0282,14.4398,14.8234,15.1917,15.6026,16.0625,16.7111,20.0766
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
Nitrate Loss NO3E 01/01/2014 CO2A, NO2A, SO2 algorithm1 triangle none equalto subalgorithm1
115.4762 kg N / ha applied 142.8593 kg N / ha total 30.0000 kg N03-N / ha 115.4762 kg N / ha applied 0.0000 kg N03-N / ha
0.2100 kg N03-N / ha 20.0000 40.0000 13.4717 kg N03-N / ha 13.3170 lower 90 % ci 13.6264 upper 90 % ci
Nitrate emissions derived from fertilizer. Measurement for field has been adjusted to NO3 emission per kg fertilizer applied, as follows: .25 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 30 kg N03) / 111 kg N per ha ap
((I1.Q1/ I1.Q2) * I1.Q3) / I1.Q4
Ammonia Loss NH3 01/01/2014 SO2A, SO2B algorithm1 normal none equalto subalgorithm1
111.0000 kg N / ha applied 120.0000 kg N / ha total 6.4500 kg NH3-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.0538 kg N03-N / ha 5.4000 0.5500 5.4034 kg N03-N / ha 5.3944 lower 90 % ci 5.4124 upper 90 % ci
Ammonia emissions derived from fertilizer. Measurement for field has been adjusted to NH3 emission per kg fertilizer applied, as follows: .053 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 6.4 kg NH3) / 111 kg N per ha a
((I2.Q1/ I2.Q2) * I2.Q3) / I2.Q4
Nitrous Oxide Emissions N2O 01/01/2014 CO2A algorithm1 normal none equalto subalgorithm1
111.0000 kg N / ha applied 120.0000 kg N / ha total 1.6000 kg N2O-N / ha 111.0000 kg N / ha applied 0.0000 none
0.0133 kg N2O-N / ha 1.3500 0.1400 1.3509 kg N2O-N / ha 1.3486 lower 90 % ci 1.3532 upper 90 % ci
Nitrous Oxide emissions derived from fertilizer. Measurement for field has been adjusted to NH4 emission per kg fertilizer applied, as follows: .0.013 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 1.6 kg N2O) / 111 kg N
((I3.Q1/ I3.Q2) * I3.Q3) / I3.Q4
Global Warming CO2 01/01/2014 N2O algorithm1 normal none equalto subalgorithm1
0.0140 kg N2O-N / ha 298.0000 charac factor 1.0000 normal factor 0.1724 weight factor 0.0000 none
0.7193 kg CO2 equivs 70.0000 7.5000 70.0467 kg CO2 equivs 69.9241 lower 90 % ci 70.1693 upper 90 % ci
This indicator measures the contribution of the nitrous oxide emissions from this input on the environmental performance measure of global warming.
((I4.Q1*I4.Q2)/I4.Q3)*I4.Q4
Acidification SO2A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2500 0.7000 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0087 kg SO2 equivs 0.9000 0.0950 0.9006 kg SO2 equivs 0.8990 lower 90 % ci 0.9022 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of eutrophication.
((I5.Q1*I5.Q2)/I5.Q3)*I5.Q4
Eutrophication NO3A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2500 kg NO3-N / ha 1.3500 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0169 kg N03 equivs 1.7000 0.1750 1.7011 kg N03 equivs 1.6982 lower 90 % ci 1.7040 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of acidification.
((I6.Q1*I6.Q2)/I6.Q3)*I6.Q4
Eutrophication NO3B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0530 kg NH3-N / ha 3.6400 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0096 kg N03 equivs 0.9600 0.0970 0.9606 kg N03 equivs 0.9590 lower 90 % ci 0.9622 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of eutrophication.
((I7.Q1*I7.Q2)/I7.Q3)*I7.Q4
Acidification SO2B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0530 kg NH3-N / ha 1.8800 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0050 kg SO2 equivs 0.5000 0.0550 0.5003 kg SO2 equivs 0.4994 lower 90 % ci 0.5012 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of acidification.
((I8.Q1*I8.Q2)/I8.Q3)*I8.Q4
Input Series: 2012 Fertilizer, Orange, Conventional
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
15.8899 environmental performance 15.9000 mean 1.6500 sd 10000 90 2 none
15.9103 mean 15.8833 lower 90 % ci 15.9373 upper 90 % ci normal algorithm1 subalgorithm1 1
(I4.QTM+I5.QTM+I6.QTM+I7.QTM+I8.QTM)/5
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 159102.6879, 15.9103, 15.9256, 1.6350, 2.6731, 9.5615, 21.7042, 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 9.5615,13.8243,14.5253,15.0510,15.5038,15.9257,16.3309,16.7829,17.2888,18.0022,21.7042
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
Nitrate Loss NO3 01/01/2014 CO2A, NO2A, SO2 algorithm1 triangle none equalto subalgorithm1
133.0000 kg N / ha applied 120.0000 kg N / ha total 30.0000 kg N03-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.2995 kg N03-N / ha 20.0000 40.0000 13.5238 kg N03-N / ha 13.3694 lower 90 % ci 13.6782 upper 90 % ci
Nitrate emissions derived from fertilizer. Measurement for field has been adjusted to NO3 emission per kg fertilizer applied, as follows: .25 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 30 kg N03) / 111 kg N per ha ap
((I1.Q1/ I1.Q2) * I1.Q3) / I1.Q4
Ammonia Loss NH3 01/01/2014 SO2A, SO2B algorithm1 normal none equalto subalgorithm1
133.0000 kg N / ha applied 120.0000 kg N / ha total 6.4500 kg NH3-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.0644 kg N03-N / ha 6.4000 0.5500 6.4034 kg N03-N / ha 6.3944 lower 90 % ci 6.4124 upper 90 % ci
Ammonia emissions derived from fertilizer. Measurement for field has been adjusted to NH3 emission per kg fertilizer applied, as follows: .053 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 6.4 kg NH3) / 111 kg N per ha a
((I2.Q1/ I2.Q2) * I2.Q3) / I2.Q4
Nitrous Oxide Emissions N2O 01/01/2014 CO2A algorithm1 normal none equalto subalgorithm1
133.0000 kg N / ha applied 120.0000 kg N / ha total 1.6000 kg N2O-N / ha 111.0000 kg N / ha applied 0.0000 none
0.0160 kg N2O-N / ha 1.6000 0.1400 1.6009 kg N2O-N / ha 1.5986 lower 90 % ci 1.6032 upper 90 % ci
Nitrous Oxide emissions derived from fertilizer. Measurement for field has been adjusted to NH4 emission per kg fertilizer applied, as follows: .0.013 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 1.6 kg N2O) / 111 kg N
((I3.Q1/ I3.Q2) * I3.Q3) / I3.Q4
Global Warming CO2 01/01/2014 N2O algorithm1 normal none equalto subalgorithm1
0.0140 kg N2O-N / ha 298.0000 charac factor 1.0000 normal factor 0.1724 weight factor 0.0000 none
0.7438 kg CO2 equivs 74.4000 7.5000 74.4467 kg CO2 equivs 74.3241 lower 90 % ci 74.5693 upper 90 % ci
This indicator measures the contribution of the nitrous oxide emissions from this input on the environmental performance measure of global warming.
((I4.Q1*I4.Q2)/I4.Q3)*I4.Q4
Acidification SO2A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.3000 kg NO3-N / ha 0.7000 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0105 kg SO2 equivs 1.1000 0.0950 1.1006 kg SO2 equivs 1.0990 lower 90 % ci 1.1022 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of eutrophication.
((I5.Q1*I5.Q2)/I5.Q3)*I5.Q4
Eutrophication NO3A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.3000 kg NO3-N / ha 1.3500 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0203 kg N03 equivs 2.1000 0.1750 2.1011 kg N03 equivs 2.0982 lower 90 % ci 2.1040 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of acidification.
((I6.Q1*I6.Q2)/I6.Q3)*I6.Q4
Eutrophication NO3E 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
115.4762 kg NH3-N / ha 142.8593 charac factor 30.0000 normal factor 115.4762 weight factor 0.0000 none
0.0116 kg N03 equivs 1.2000 0.0970 1.2006 kg N03 equivs 1.1990 lower 90 % ci 1.2022 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of eutrophication.
((I7.Q1*I7.Q2)/I7.Q3)*I7.Q4
Acidification SO2B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0640 kg NH3-N / ha 1.8800 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0060 kg SO2 equivs 0.6000 0.0550 0.6003 kg SO2 equivs 0.5994 lower 90 % ci 0.6012 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of acidification.
((I8.Q1*I8.Q2)/I8.Q3)*I8.Q4
Input Series: 2013 Fertilizer, Orange, Conventional
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
14.4559 environmental performance 14.5000 mean 1.5000 sd 10000 90 2 none
14.5093 mean 14.4848 lower 90 % ci 14.5338 upper 90 % ci normal algorithm1 subalgorithm1 1
(I4.QTM+I5.QTM+I6.QTM+I7.QTM+I8.QTM)/5
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 145093.3526, 14.5093, 14.5233, 1.4863, 2.2092, 8.7377, 19.7766, 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 8.7377,12.6130,13.2503,13.7282,14.1398,14.5234,14.8917,15.3026,15.7625,16.4111,19.7766
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
Nitrate Loss NO3 01/01/2014 CO2A, NO2A, SO2 algorithm1 triangle none equalto subalgorithm1
122.0000 kg N / ha applied 120.0000 kg N / ha total 30.0000 kg N03-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.2748 kg N03-N / ha 27.5000 40.0000 13.5094 kg N03-N / ha 13.3549 lower 90 % ci 13.6639 upper 90 % ci
Nitrate emissions derived from fertilizer. Measurement for field has been adjusted to NO3 emission per kg fertilizer applied, as follows: .25 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 30 kg N03) / 111 kg N per ha ap
((I1.Q1/ I1.Q2) * I1.Q3) / I1.Q4
Ammonia Loss NH3 01/01/2014 SO2A, SO2B algorithm1 normal none equalto subalgorithm1
122.0000 kg N / ha applied 120.0000 kg N / ha total 6.4500 kg NH3-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.0591 kg N03-N / ha 5.9000 0.5500 5.9034 kg N03-N / ha 5.8944 lower 90 % ci 5.9124 upper 90 % ci
Ammonia emissions derived from fertilizer. Measurement for field has been adjusted to NH3 emission per kg fertilizer applied, as follows: .053 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 6.4 kg NH3) / 111 kg N per ha a
((I2.Q1/ I2.Q2) * I2.Q3) / I2.Q4
Nitrous Oxide Emissions N2O 01/01/2014 CO2A algorithm1 normal none equalto subalgorithm1
122.0000 kg N / ha applied 120.0000 kg N / ha total 1.6000 kg N2O-N / ha 111.0000 kg N / ha applied 0.0000 none
0.0147 kg N2O-N / ha 1.4700 0.1400 1.4709 kg N2O-N / ha 1.4686 lower 90 % ci 1.4732 upper 90 % ci
Nitrous Oxide emissions derived from fertilizer. Measurement for field has been adjusted to NH4 emission per kg fertilizer applied, as follows: .0.013 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 1.6 kg N2O) / 111 kg N
((I3.Q1/ I3.Q2) * I3.Q3) / I3.Q4
Global Warming CO2A 01/01/2014 N2O algorithm1 normal none equalto subalgorithm1
0.0145 kg N2O-N / ha 298.0000 charac factor 1.0000 normal factor 0.1600 weight factor 0.0000 none
0.6914 kg CO2 equivs 69.0000 7.5000 69.0467 kg CO2 equivs 68.9241 lower 90 % ci 69.1693 upper 90 % ci
This indicator measures the contribution of the nitrous oxide emissions from this input on the environmental performance measure of global warming.
((I4.Q1*I4.Q2)/I4.Q3)*I4.Q4
Acidification SO2A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2750 kg NO3-N / ha 0.7000 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0096 kg SO2 equivs 0.9700 0.0950 0.9706 kg SO2 equivs 0.9690 lower 90 % ci 0.9722 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of eutrophication.
((I5.Q1*I5.Q2)/I5.Q3)*I5.Q4
Eutrophication NO3A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2750 kg NO3-N / ha 1.3500 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0186 kg N03 equivs 1.8600 0.1750 1.8611 kg N03 equivs 1.8582 lower 90 % ci 1.8640 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of acidification.
((I6.Q1*I6.Q2)/I6.Q3)*I6.Q4
Eutrophication NO3B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0145 kg NH3-N / ha 3.6400 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0026 kg N03 equivs 0.2600 0.0970 0.2606 kg N03 equivs 0.2590 lower 90 % ci 0.2622 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of eutrophication.
((I7.Q1*I7.Q2)/I7.Q3)*I7.Q4
Acidification SO2B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0145 kg NH3-N / ha 1.8800 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0014 kg SO2 equivs 0.1400 0.0550 0.1403 kg SO2 equivs 0.1394 lower 90 % ci 0.1412 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of acidification.
((I8.Q1*I8.Q2)/I8.Q3)*I8.Q4
Input Series: 2014 Fertilizer, Orange, Conventional
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
14.8219 environmental performance 14.8000 mean 1.5000 sd 10000 90 2 none
14.8093 mean 14.7848 lower 90 % ci 14.8338 upper 90 % ci normal algorithm1 subalgorithm1 1
(I4.QTM+I5.QTM+I6.QTM+I7.QTM+I8.QTM)/5
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 148093.3526, 14.8093, 14.8233, 1.4863, 2.2092, 9.0377, 20.0766, 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 9.0377,12.9130,13.5503,14.0282,14.4398,14.8234,15.1917,15.6026,16.0625,16.7111,20.0766
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
Nitrate Loss NO3 01/01/2014 CO2A, NO2A, SO2 algorithm1 triangle none equalto subalgorithm1
111.0000 kg N / ha applied 120.0000 kg N / ha total 30.0000 kg N03-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.2500 kg N03-N / ha 20.0000 40.0000 13.4950 kg N03-N / ha 13.3404 lower 90 % ci 13.6496 upper 90 % ci
Nitrate emissions derived from fertilizer. Measurement for field has been adjusted to NO3 emission per kg fertilizer applied, as follows: .25 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 30 kg N03) / 111 kg N per ha ap
((I1.Q1/ I1.Q2) * I1.Q3) / I1.Q4
Ammonia Loss NH3 01/01/2014 SO2A, SO2B algorithm1 normal none equalto subalgorithm1
111.0000 kg N / ha applied 120.0000 kg N / ha total 6.4500 kg NH3-N / ha 111.0000 kg N / ha applied 0.0000 kg N03-N / ha
0.0538 kg N03-N / ha 5.4000 0.5500 5.4034 kg N03-N / ha 5.3944 lower 90 % ci 5.4124 upper 90 % ci
Ammonia emissions derived from fertilizer. Measurement for field has been adjusted to NH3 emission per kg fertilizer applied, as follows: .053 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 6.4 kg NH3) / 111 kg N per ha a
((I2.Q1/ I2.Q2) * I2.Q3) / I2.Q4
Nitrous Oxide Emissions N2O 01/01/2014 CO2A algorithm1 normal none equalto subalgorithm1
111.0000 kg N / ha applied 120.0000 kg N / ha total 1.6000 kg N2O-N / ha 111.0000 kg N / ha applied 0.0000 none
0.0133 kg N2O-N / ha 1.3500 0.1400 1.3509 kg N2O-N / ha 1.3486 lower 90 % ci 1.3532 upper 90 % ci
Nitrous Oxide emissions derived from fertilizer. Measurement for field has been adjusted to NH4 emission per kg fertilizer applied, as follows: .0.013 kg NH3-N / ha : ((111 kg N per ha applied fertilizer / 120 kg N per ha total) 1.6 kg N2O) / 111 kg N
((I3.Q1/ I3.Q2) * I3.Q3) / I3.Q4
Global Warming CO2A 01/01/2014 N2O algorithm1 normal none equalto subalgorithm1
0.0130 kg N2O-N / ha 298.0000 charac factor 1.0000 normal factor 0.1600 weight factor 0.0000 none
0.6198 kg CO2 equivs 70.0000 7.5000 70.0467 kg CO2 equivs 69.9241 lower 90 % ci 70.1693 upper 90 % ci
This indicator measures the contribution of the nitrous oxide emissions from this input on the environmental performance measure of global warming.
((I4.Q1*I4.Q2)/I4.Q3)*I4.Q4
Acidification SO2A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2500 0.7000 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0087 kg SO2 equivs 0.9000 0.0950 0.9006 kg SO2 equivs 0.8990 lower 90 % ci 0.9022 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of eutrophication.
((I5.Q1*I5.Q2)/I5.Q3)*I5.Q4
Eutrophication NO3A 01/01/2014 NO3 algorithm1 normal none equalto subalgorithm1
0.2500 kg NO3-N / ha 1.3500 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0169 kg N03 equivs 1.7000 0.1750 1.7011 kg N03 equivs 1.6982 lower 90 % ci 1.7040 upper 90 % ci
This indicator measures the contribution of the nitrate emissions from this input on the environmental performance measure of acidification.
((I6.Q1*I6.Q2)/I6.Q3)*I6.Q4
Eutrophication NO3B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0530 kg NH3-N / ha 3.6400 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0096 kg N03 equivs 0.9600 0.0970 0.9606 kg N03 equivs 0.9590 lower 90 % ci 0.9622 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of eutrophication.
((I7.Q1*I7.Q2)/I7.Q3)*I7.Q4
Acidification SO2B 01/01/2014 NH3 algorithm1 normal none none subalgorithm1
0.0530 kg NH3-N / ha 1.8800 charac factor 1.0000 normal factor 0.0500 weight factor 0.0000 none
0.0050 kg SO2 equivs 0.5000 0.0550 0.5003 kg SO2 equivs 0.4994 lower 90 % ci 0.5012 upper 90 % ci
This indicator measures the contribution of the ammonia emissions from this input on the environmental performance measure of acidification.
((I8.Q1*I8.Q2)/I8.Q3)*I8.Q4
Dataset: 2014 Fertilizer, Orange, Conventional IRI This crop nutrient input includes a unit life cycle analysis of conventional fertilizer in orange production.

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