A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading
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DOI: 10.1016/j.ecolmodel.2019.02.005
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Cited by:
- Jin‐Won Yu & Ju‐Song Kim & Yun‐Chol Jong & Xia Li & Gwang‐Il Ryang, 2022. "Forecasting chlorophyll‐a concentration using empirical wavelet transform and support vector regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1691-1700, December.
- Xia, Rui & Zou, Lei & Zhang, Yuan & Zhang, Yongyong & Chen, Yan & Liu, Chengjian & Yang, Zhongwen & Ma, Shuqin, 2022. "Algal bloom prediction influenced by the Water Transfer Project in the Middle-lower Hanjiang River," Ecological Modelling, Elsevier, vol. 463(C).
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Keywords
Water quality model; Support vector machine; Algal bloom simulation; Tidal freshwater; James River;All these keywords.
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