TRENDS IN NUTRIENT LOAD AND DRIVING FACTORS IN THE ILLINOIS RIVER BASIN
This study assessed the trends in nutrient loading in the Illinois river basin and the factors driving such as climate (precipitation), hydrology (discharge), and land use. To analyze the trend, we used historical nutrient data from various sources including USGS. First, load was estimated using simple and multiple linear regression models using LOADEST (LOAD ESTimator) package developed by USGS in a R programing interface. The purpose is to produce accurate load estimate and obtain continuous load data later used for trend analysis. A non-parametric Mann Kendall test and Sen’s slope test were adopted to analyze and detect trends. Further, cross correlation was employed to understand the relationship between watershed characteristics and trends in nutrient load. The preliminary result of the load estimation model, the Reg model (9) in the LOADEST shows the best fit across multiple stations with R2 values between 0.57 and 0.92 ), and estimated mean flux rate of the point predictions of nitrate to be 39,400-234,000 kg/d and dissolved phosphorus range from 46200-375,000 kg/d. Stations which shows a positive trend for both nitrate and dissolved phosphorus loads coincides with stations with increasing trends of discharge, precipitations, and land use regions with much developed medium to high intensity. The results from this study will aid better water quality management.
Keywords: LOADEST, Water Quality, Nutrients, Cross Correlation, Illinois River.