Irrigation Catch-can Sample Audit

How to use Irrigation Catch-can Sample Audit

Enter one measured runtime, the common catch opening area and each collected volume. Convert mL per square centimetre to water depth, normalize elapsed minutes to an hourly rate and compare the lowest quarter with the overall mean without inventing a watering schedule.

1. Use the example as the schema; replace its labels and entered model assumptions.
2. Enter one measured runtime, the common catch opening area and each collected volume. Convert mL per square centimetre to water depth, normalize elapsed minutes to an hourly rate and compare the lowest quarter with the overall mean without inventing a watering schedule.
3. Calculate, inspect the complete witnesses and limitations, then copy or download the JSON report.

Good to know

• Use 4–200 cans in a count divisible by four, all representing equal sample areas with equal opening area. Volumes 0–1,000,000 mL; positive opening area up to 1,000,000 cm² and runtime up to 1,440 minutes, six-place decimal strings.
• No radial/unequal-area weighting, missing-sample imputation, crop/soil/runoff estimate, watering prescription or irrigation-system certification. Zero collection returns null uniformity. Source order resolves exact-volume ties.
• Local calculation with no upload, input persistence or outside lookup. Model JSON is limited to 30,000 characters and 10,000 values. Decimal quantities are strings with up to six places; count fields use plain JSON integers. Exact fractions are capped at 8,192 bits. The complete JSON output is limited to 1,000,000 characters; approximate numbers preserve their stored values. Unsupported states fail explicitly.