Water Stable Aggregate Calculator
Calculate water-stable aggregate percentage from wet-sieving test results to assess soil structural health and erosion resistance.
Inputs
Results
Water-stable aggregates (%)
51.1%
How to Use This Calculator
- Collect a representative 100g soil sample and enter the percentage of aggregates that remain stable after wet sieving.
- Input your soil texture class and organic matter percentage.
- Set the tillage intensity to contextualize the aggregate stability result.
- Review the Mean Weight Diameter and the Aggregate Stability Score.
- Use the Erosion Risk Rating to decide whether cover crops or reduced tillage are needed.
What each input means
- Initial sample weight (g)
- Dry weight of soil aggregates placed on the sieve before wet-sieving.
- Stable aggregate weight (g)
- Weight of material remaining on sieve after wet-sieving (includes sand).
- Sand/gravel weight (g)
- Weight of sand and coarse fragments after dispersing stable aggregates (correction factor).
- Soil organic matter (%)
- SOM from soil test — used to compare stability vs. expected for your OM level.
What each result means
- Water-stable aggregates (%)
- Percent of soil aggregates stable in water (corrected for sand).
- Stability score (0-100)
- Normalized aggregate stability score.
- Est. mean weight diameter (mm)
- Estimated mean weight diameter of stable aggregates.
- Est. infiltration rate (in/hr)
- Estimated water infiltration rate based on aggregate stability.
- vs. Expected (%)
- Difference from expected WSA for your organic matter level (positive = better than expected).
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersInitial sample weight (g) = 10, Stable aggregate weight (g) = 5.5, Sand/gravel weight (g) = 0.8, Soil organic matter (%) = 3 = 4 input(s) provided
- Calculate Water-stable aggregatesWater-stable aggregates = denominator > 051.1 = 51.1%
- Calculate Stability score75 = 75
- Calculate Est. mean weight diameterEst. mean weight diameter = wsaPct * 0.02 + 0.31.32 = 1.32
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