H150-02
Evaluation of Nitrate Load Estimations in the Midwestern United States

Monday, 14 December 2020: 08:33
Virtual
Myoung-Jin Um, Kyonggi University, Civil Engineering, Suwon, South Korea, Daeryong Park, Konkuk University, Seoul, Korea, Republic of (South), Momcilo Markus, University of Illinois, Champaign, IL, United States and Munmo Kim, Shingu University, Seongnam, South Korea
Abstract:
The aim of this study is the comparison of several commonly estimation methods of nitrate loads in the riverine. We applied the several methods, such as, regression estimator with 5, 6, and 7 parameters, Exploration and Graphics for River Trends (EGRET) method, and a simple linear interpolation (SLI) method to estimate the nitrate loads. The datasets, included the daily discharge and nitrate concentration, were obtained from the National Center for Water Quality Research in the Midwestern United States. This study divided the datasets, which are daily concentration, daily loads, and annual loads, to compare the several methods. We found that the results by combinations of the 7-parameter regression method with the composite residual and rectangular residual adjustments show the better estimates in most cases. In the future, this study can be extended to include other factors, such as the characteristics of rating curves and land-use.

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science ICT (No. 2019R1F1A1060028 and 2019R1A2C1007447).

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