Optimizing pesticide water monitoring: balancing accuracy and efficiency using composite sampling and SEAWAVE-QEX
Andy Jacobson, Zechariah Stone, Russell Krueger, Richard Brain · 2026
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Description
Andy Jacobson and colleagues published a 2026 study on cheaper ways to monitor pesticides in surface water. Daily sampling gives the best exposure estimates but costs too much for most programs. The team reused rare daily data sets to test whether pooled weekly or two-weekly samples, or a statistical model called SEAWAVE-QEX, could match daily results.
Both weekly and two-week pooled samples estimated long-term pesticide exposure accurately. A trial run of the model with weekly pooled samples reasonably estimated short-term peaks at one site. Rain data worked as a cheaper stand-in for streamflow data in the model, with little loss. The authors offer the findings as practical guidance for designing monitoring programs that balance accuracy against cost and effort for risk assessment.
Catalog record
| CREATOR | Andy Jacobson, Zechariah Stone, Russell Krueger, Richard Brain |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56839 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |