References
Geizer, H. D., Klapstein, S. J., Mallory, M. L., & O’Driscoll, N. J. (2021). Total Mercury, methylmercury, phosphate, and sulfate inputs to a bog ecosystem from herring gull (Larus Smithsoniansus) guano. Ecotoxicology and Environmental Safety, 226, 112845. https://doi.org/10.1016/j.ecoenv.2021.112845
Government of Alberta. (2022). North Saskatchewan Region surface water quality management framework for the North Saskatchewan and Battle Rivers. North Saskatchewan Region surface water quality management framework for the North Saskatchewan and Battle rivers - Open Government. Retrieved February 26, 2023, from https://open.alberta.ca/dataset/north-saskatchewan-region-surface-water-quality-management-framework/resource/382503d1-7c73-475c-856f-438e62571ab1
Government of Alberta. (2022). Fact sheet surface water quality management framework for the north ... Retrieved February 27, 2023, from https://open.alberta.ca/dataset/62f80301-1541-461b-b8c7-aadba321cbdd/resource/ca55c04a-2097-48ea-adb4-aab9bf3244ed/download/epa-north-saskatchewan-region-surface-water-quality-management-framework-fact-sheet-2022.pdf
Goswami, A. P., & Kalamdhad, A. S. (2022). Water quality variation and source apportionment using multivariate statistical analysis. Environmental Forensics, 1–23. https://doi.org/10.1080/15275922.2022.2125112
Kumari, M., & Tripathi, B. D. (2014). Source apportionment of wastewater pollutants using multivariate analyses. Bulletin of Environmental Contamination and Toxicology, 93(1), 19–24. https://doi.org/10.1007/s00128-014-1242-5
Xiao, J., Gao, D., Zhang, H., Shi, H., Chen, Q., Li, H., Ren, X., & Chen, Q. (2023). Water quality assessment and pollution source apportionment using multivariate statistical techniques: A case study of the laixi river basin, China. Environmental Monitoring and Assessment, 195(2). https://doi.org/10.1007/s10661-022-10855-6
Zhang, H., Li, H., Yu, H., & Cheng, S. (2020). Water quality assessment and pollution source apportionment using multi-statistic and apcs-MLR modeling techniques in Min River basin, China. Environmental Science and Pollution Research, 27(33), 41987–42000. https://doi.org/10.1007/s11356-020-10219-y
Government of Alberta. (2022). North Saskatchewan Region surface water quality management framework for the North Saskatchewan and Battle Rivers. North Saskatchewan Region surface water quality management framework for the North Saskatchewan and Battle rivers - Open Government. Retrieved February 26, 2023, from https://open.alberta.ca/dataset/north-saskatchewan-region-surface-water-quality-management-framework/resource/382503d1-7c73-475c-856f-438e62571ab1
Government of Alberta. (2022). Fact sheet surface water quality management framework for the north ... Retrieved February 27, 2023, from https://open.alberta.ca/dataset/62f80301-1541-461b-b8c7-aadba321cbdd/resource/ca55c04a-2097-48ea-adb4-aab9bf3244ed/download/epa-north-saskatchewan-region-surface-water-quality-management-framework-fact-sheet-2022.pdf
Goswami, A. P., & Kalamdhad, A. S. (2022). Water quality variation and source apportionment using multivariate statistical analysis. Environmental Forensics, 1–23. https://doi.org/10.1080/15275922.2022.2125112
Kumari, M., & Tripathi, B. D. (2014). Source apportionment of wastewater pollutants using multivariate analyses. Bulletin of Environmental Contamination and Toxicology, 93(1), 19–24. https://doi.org/10.1007/s00128-014-1242-5
Xiao, J., Gao, D., Zhang, H., Shi, H., Chen, Q., Li, H., Ren, X., & Chen, Q. (2023). Water quality assessment and pollution source apportionment using multivariate statistical techniques: A case study of the laixi river basin, China. Environmental Monitoring and Assessment, 195(2). https://doi.org/10.1007/s10661-022-10855-6
Zhang, H., Li, H., Yu, H., & Cheng, S. (2020). Water quality assessment and pollution source apportionment using multi-statistic and apcs-MLR modeling techniques in Min River basin, China. Environmental Science and Pollution Research, 27(33), 41987–42000. https://doi.org/10.1007/s11356-020-10219-y