Catch-Can Uniformity Calculator
Turns a field catch-can (or rain gauge) test into the three uniformity coefficients irrigation practitioners actually use to judge a sprinkler or center-pivot system: Christiansen's CU, low-quarter Distribution Uniformity (DU), and the distance-weighted Heermann-Hein CUH used for center pivots. Paste in your can readings, or enter them by hand.
1. Enter Catch-Can Data
Each can needs a catch amount. If your test is on a center pivot (cans placed along a radial line), also enter each can's distance from the pivot point — this is what CUH needs to properly weight the area each can represents. For a lateral, solid-set, or hand-move test where every can represents equal area, leave distance blank (it will default to 1 for every can, which makes CUH equal to CU).
A standard 6-in diameter catch can has a throat area of π(3 in)² = 28.27 in².
| Can # | Distance from pivot (optional) | Catch (in) |
|---|
2. Results
About this calculator
DU (low-quarter distribution uniformity) compares the average of the driest 25% of the field to the field average — it answers "how bad is it where it's worst?"
DU = dLQ / dz × 100%
CU (Christiansen's uniformity coefficient) is based on the average deviation of every can from the mean — a more holistic, less worst-case view.
CU = 100% × (1 − &Sigma|di − dz| / (n × dz))
CUH (Heermann-Hein, for center pivots) weights each can's deviation by its distance from the pivot, since a can far out represents far more irrigated area (a bigger annulus) than one close in.
CUH = 100% × (1 − &Sigma Si|di − dz*| / &Sigma Sidi) where dz* = &Sigma diSi / &Sigma Si
Rules of thumb from the textbook: for moved-lateral sprinklers, CU ≥ 80 (or DU ≥ 0.70) is the usual minimum acceptable uniformity; for center pivots, CUH ≥ 90 is often the target; for microirrigation, DU ≥ 0.80 is recommended.