Investigating the applicability and assumptions of the regression relationship between flow discharge and nitrogen concentrations for load estimation
Author:
Funder
National Research Foundation of Korea
U.S. Department of Agriculture
National Institute of Food and Agriculture
Ministry of Education
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference68 articles.
1. Novel predictors related to hysteresis and baseflow improve predictions of watershed nutrient loads: an example from Ontario's lower Great Lakes basin;Biagi;Sci. Total Environ.,2022
2. Quantifying the contribution of direct runoff and baseflow to nitrogen loading in the Western Lake Erie Basins;Song;Sci. Rep.,2022
3. Influence of sampling frequency and estimation method on phosphorus load uncertainty in the Western Lake Erie Basin, Ohio, USA;Kamrath;J. Hydrol.,2023
4. A non-threshold model to estimate carcinogenic risk of nitrate-nitrite in drinking water;Noori;J. Clean. Prod.,2022
5. Impact evaluation of wet-weather events on influent flow and loadings of a water resource recovery facility;Borzooei,2019
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