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PREDICTIVE MODEL FOR NITRATE LOAD IN THE BULL RUN WATERSHED, OREGON 1
Author(s) -
Bakke Paul D.,
Pyles Marvin R.
Publication year - 1997
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1997.tb04113.x
Subject(s) - nitrate , hydrograph , watershed , precipitation , environmental science , hydrology (agriculture) , streams , logarithm , mathematics , meteorology , surface runoff , ecology , geography , geology , computer network , geotechnical engineering , machine learning , biology , mathematical analysis , computer science
Predictive models for nitrate in four streams in the Bull Run Watershed in the Cascade Mountains of Oregon were developed from a record of 17 years of nitrate samples. The models are time series regression models written in terms of Log(nitrate load). The independent variables are logarithm of 14‐day mean daily stream discharge, current day's precipitation, logarithm of the previous day's precipitation, total precipitation for the previous seven days, a hydrograph position variable that indicates rising or falling limb, and average maximum air temperature for the preceding 14 days. The models describe annual cycle and seasonable trends and variations in nitrate load, but are unable to describe large day to day variations like those associated with hydrograph peaks.