Surface Water Quality Modelling
Author:
Affiliation:
1. Global Institute for Water Security, School of Environment and Sustainability, University of Saskatchewan, 11 Innovation Boulevard, Saskatoon, SK S7N 3H5, Canada
Abstract
Publisher
MDPI AG
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Link
https://www.mdpi.com/2073-4441/15/4/828/pdf
Reference10 articles.
1. Prajapati, S., Sabokruhie, P., Brinkmann, M., and Lindenschmidt, K.-E. (2023). Modelling Transport and Fate of Copper and Nickel across the South Saskatchewan River Using WASP—TOXI. Water, 15.
2. Han, X., Chen, X., Ma, J., Chen, J., Xie, B., Yin, W., Yang, Y., Jia, W., Xie, D., and Huang, F. (2022). Discrimination of Chemical Oxygen Demand Pollution in Surface Water Based on Visible Near-Infrared Spectroscopy. Water, 14.
3. Yao, Y., Zhu, J., Li, L., Wang, J., and Yuan, J. (2022). Marine Environmental Capacity in Sanmen Bay, China. Water, 14.
4. Khoi, D.N., Quan, N.T., Linh, D.Q., Nhi, P.T.T., and Thuy, N.T.D. (2022). Using Machine Learning Models for Predicting the Water Quality Index in the La Buong River, Vietnam. Water, 14.
5. Iqbal, M.M., Li, L., Hussain, S., Lee, J.L., Mumtaz, F., Elbeltagi, A., Waqas, M.S., and Dilawar, A. (2022). Analysis of Seasonal Variations in Surface Water Quality over Wet and Dry Regions. Water, 14.
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