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Estimating simazine‐treated area in watersheds based on annual stream loads
Author(s) -
Lerch Robert N.,
Willett Cammy D.
Publication year - 2021
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.1002/jeq2.20257
Subject(s) - simazine , atrazine , environmental science , watershed , hydrology (agriculture) , pesticide , agronomy , engineering , biology , geotechnical engineering , machine learning , computer science
Existing data in the United States are insufficient for estimating pesticide‐treated crop areas at the watershed scale. The objective of this research was to evaluate an approach for estimating simazine usage on corn ( Zea mays L.) based on its transport to streams of the Salt River Basin (SRB) of Missouri, USA. Annual loads of total simazine and atrazine (parent + metabolites) were quantified for seven SRB watersheds from 2005 to 2017. Simazine‐treated corn area was computed as the total simazine load (g) divided by total atrazine load (g ha –1 ) on a treated area basis; atrazine was used as surrogate in the absence of treated area simazine load data. From 2005 to 2010, an estimated 3.8–31% of the corn area within SRB watersheds was treated with simazine, and four of six watersheds had <10% of corn treated. In contrast, Long Branch Creek (2005–2017) and its sub‐watersheds (2012–2017) had ≥20% of corn area treated with simazine. Key sources of variation in treated area estimates included extremely dry years with little simazine transport and disparities between spring‐applied atrazine and fall‐applied simazine transport. However, compared with national estimates for the SRB, these results estimated simazine usage that was generally one to two orders of magnitude greater and showed far more spatial and temporal variation among watersheds. These results demonstrated that this broadly applicable output‐based method is a significant improvement over existing input‐based national data for estimating pesticide usage in watersheds.