Irrigation Runtime Calculator
Estimate irrigation runtime from target depth and measured application rate.
Open toolIrrigation Distribution Uniformity Calculator
Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution. Provide Equal-area catch-can depths (mm) to compute results directly in your browser. DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
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Enter the inputs, then select Calculate.
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How the Irrigation Distribution Uniformity Calculator Works & Core Formula
The Irrigation Distribution Uniformity Calculator evaluates Equal-area catch-can depths (mm) in client-side JavaScript using the deterministic rule below and updates the output panel immediately without uploading data to a server.
Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution.
DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
Irrigation Distribution Uniformity Calculator Quick Reference & Input Guide
Review the input parameters, allowed value ranges, and worked reference cases for the Irrigation Distribution Uniformity Calculator below before running your calculation.
| Parameter / Scenario | Default / Sample Value | Rule or Allowed Range | Output / Usage Note |
|---|---|---|---|
| Input: Equal-area catch-can depths (mm) | 8,9,10,11 | Use at least four nonnegative depths; reading count must be a multiple of four, at most 1,000. | Required workspace parameter |
| Worked Case 1: Baseline run (Equal-area catch-can depths (mm) = 8,9,10,) | Preloaded / test values | Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution | Equal-area catch-can depths (mm) = 8,9,10,11. Output: Low-quarter distribution uniformity: 84.2105263158%; Mean depth: 9.5 mm; Low-quarter mean depth: 8 mm; Sorted depths: 8, 9, 10, 11. |
| Worked Case 2: Comparison scenario (Sprinkler Catch Can Calculator) | Preloaded / test values | Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution | Equal-area catch-can depths (mm) = 10,10,10,10. Output: Low-quarter distribution uniformity: 100%; Mean depth: 10 mm; Low-quarter mean depth: 10 mm; Sorted depths: 10, 10, 10, 10. |
Step-by-Step Guide to Using the Irrigation Distribution Uniformity Calculator
Follow these three steps to configure Equal-area catch-can depths (mm), verify unit and boundary rules, and export your Irrigation Distribution Uniformity Calculator output.
Enter the inputs
Start with equal-area catch-can depths (mm). Use at least four nonnegative depths; reading count must be a multiple of four, at most 1,000.
Input and settings
Check units and mode
DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
Tool result
Calculate and save
Select Calculate, check the labelled result, then use Copy result or Download result.txt.
Review the details
Practical Worked Examples for Irrigation Distribution Uniformity Calculator
These concrete scenarios illustrate how the Irrigation Distribution Uniformity Calculator processes baseline inputs, comparison checks, and boundary constraints.
Baseline run (Equal-area catch-can depths (mm) = 8,9,10,)
Equal-area catch-can depths (mm) = 8,9,10,11. Output: Low-quarter distribution uniformity: 84.2105263158%; Mean depth: 9.5 mm; Low-quarter mean depth: 8 mm; Sorted depths: 8, 9, 10, 11.
Comparison scenario (Sprinkler Catch Can Calculator)
Equal-area catch-can depths (mm) = 10,10,10,10. Output: Low-quarter distribution uniformity: 100%; Mean depth: 10 mm; Low-quarter mean depth: 10 mm; Sorted depths: 10, 10, 10, 10.
Boundary & unit check (Irrigation Distribution Uniformity Calculator)
When solving for 'irrigation distribution uniformity calculator', verify that Equal-area catch-can depths (mm) use consistent units and stay within the documented scope: DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur.
How to Read and Verify the Irrigation Distribution Uniformity Calculator Output
The output panel reports the exact result derived from Equal-area catch-can depths (mm) alongside any unit or formatting notes.
Every calculation follows the rule: Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution. Because JavaScript uses IEEE 754 double-precision floating-point arithmetic, numeric outputs display up to 12 significant digits where applicable.
Always cross-check the displayed result against the scope note (DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur) before applying the value to production specifications, financial models, or lab records.
Scope Limits, Accuracy Assumptions & Related Everyday Math Tools
Review these boundary constraints and validation rules before relying on the Irrigation Distribution Uniformity Calculator output.
Operational scope: DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur. Inputs that violate minimum/maximum bounds or required format rules are rejected with a clear diagnostic prompt.
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Open toolFrequently Asked Questions About Irrigation Distribution Uniformity Calculator
Answers about using Irrigation Distribution Uniformity Calculator and understanding its results.
What formula or rule does the Irrigation Distribution Uniformity Calculator use?
The Irrigation Distribution Uniformity Calculator applies the rule: Compute low-quarter distribution uniformity and show the sorted catch-can depth distribution. Enter Equal-area catch-can depths (mm) into the workspace and the tool computes the exact output in your browser.
What input parameters and units are required for Irrigation Distribution Uniformity Calculator?
Yes. Provide Equal-area catch-can depths (mm) using the documented units and format shown in the quick reference table above. Preloaded default values let you test the workflow immediately.
What are the accuracy limits and boundary assumptions for Irrigation Distribution Uniformity Calculator?
DU_LQ (%) = 100 × mean of lowest n/4 readings / overall mean. Use depths measured over the same time with equal-area collectors, or values already converted to equivalent depth. Mean must be positive; precipitation rate and CU are not inferred. Numeric output uses up to 12 significant digits; floating-point rounding can occur. Confirm that your inputs fall within the allowed ranges before exporting the result.
Is the Irrigation Distribution Uniformity Calculator free and does it keep my inputs private?
Yes. All calculations for the Irrigation Distribution Uniformity Calculator execute 100% locally in your browser's JavaScript runtime. No inputs or results are uploaded to any external server.
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