2018
DOI: 10.2489/jswc.73.3.229
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Water quality assessment in the Cherry Creek watershed: Patterns of nutrient runoff in an agricultural watershed

Abstract: Access to safe, high quality water for consumption, agriculture, industry, and recreation is critically important. Continuous agricultural and mining activities have impaired the waters of the Grand Lake watershed in the central Great Plains region of the United States. The Grand Lake watershed encompasses portions of southeast Kansas, southwest Missouri, northwest Arkansas, and northeast Oklahoma, and drains into Grand Lake in northeast Oklahoma. The Cherry Creek watershed drains approximately 882.2 km 2 (218… Show more

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Cited by 1 publication
(3 citation statements)
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“…Specifically, the effectiveness scores for both runoff and sediment load are NS 0.67$$ \ge 0.67 $$, R20.68$$ {\mathrm{R}}^2\ge 0.68 $$, and PBIAS between 0% and 25%. Therefore, the model is suitable for predicting runoff and sediment load in natural conditions (Alarcon & Sassenrath, 2018).…”
Section: Resultsmentioning
confidence: 99%
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“…Specifically, the effectiveness scores for both runoff and sediment load are NS 0.67$$ \ge 0.67 $$, R20.68$$ {\mathrm{R}}^2\ge 0.68 $$, and PBIAS between 0% and 25%. Therefore, the model is suitable for predicting runoff and sediment load in natural conditions (Alarcon & Sassenrath, 2018).…”
Section: Resultsmentioning
confidence: 99%
“…Specifically, the effectiveness scores for both runoff and sediment load are NS ≥ 0:67, R 2 ≥ 0:68, and PBIAS between 0% and 25%. Therefore, the model is suitable for predicting runoff and sediment load in natural conditions (Alarcon & Sassenrath, 2018). 2 and 3 present the input scenarios used to model runoff and sediment load.…”
Section: Calibration and Validation Of The Xgboost Modelmentioning
confidence: 99%
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