APA (7th ed.) Citation

AL, S., I, D., M, C., & JD, S. (2025). Data-driven prediction of daily Cryptosporidium river concentrations for water resource management: Use of catchment-averaged vs spatially distributed features in a Bagging-XGBoost model. The Science of the total environment, 991, 179794. https://doi.org/10.1016/j.scitotenv.2025.179794

Chicago Style (17th ed.) Citation

AL, Smalley, Douterelo I, Chipps M, and Shucksmith JD. "Data-driven Prediction of Daily Cryptosporidium River Concentrations for Water Resource Management: Use of Catchment-averaged Vs Spatially Distributed Features in a Bagging-XGBoost Model." The Science of the Total Environment 991 (2025): 179794. https://doi.org/10.1016/j.scitotenv.2025.179794.

MLA (9th ed.) Citation

AL, Smalley, et al. "Data-driven Prediction of Daily Cryptosporidium River Concentrations for Water Resource Management: Use of Catchment-averaged Vs Spatially Distributed Features in a Bagging-XGBoost Model." The Science of the Total Environment, vol. 991, 2025, p. 179794, https://doi.org/10.1016/j.scitotenv.2025.179794.