Modelling storm event-based sediment yield and assessing its heavy metal loading: case of Lake Victoria's Inner Murchison Bay catchment in Uganda
Author:
Funder
United Kingdom Research and Innovation
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40808-023-01876-2.pdf
Reference49 articles.
1. Akurut M, Niwagaba CB, Willems P (2017) Long-term variations of water quality in the Inner Murchison Bay, Lake Victoria. Environ Monit Assess 1:1. https://doi.org/10.1007/s10661-016-5730-4
2. Almasalmeh O, Saleh AA, Mourad KA (2022) Soil erosion and sediment transport modelling using hydrological models and remote sensing techniques in Wadi Billi, Egypt. Model Earth Syst Environ 8(1):1215–1226. https://doi.org/10.1007/s40808-021-01144-1
3. Amadi AN, Ebieme EE, Musa A, Olashinde PI, Ameh IM, Shuaibu AM (2017) Utility of pollution indices in assessment of soil quality around Madaga gold mining site, Niger state, North-Central Nigeria. Ife J Sci 19(2):417. https://doi.org/10.4314/ijs.v19i2.22
4. Anaba LA, Banadda N, Kiggundu N, Wanyama J, Engel B, Moriasi D (2017) Application of SWAT to assess the effects of land use change in the Murchison Bay Catchment in Uganda. Comput Water Energy Environ Eng 06(01):24–40. https://doi.org/10.4236/cweee.2017.61003
5. Arekhi S, Shabani A, Rostamizad G (2012) Application of the modified universal soil loss equation (MUSLE) in prediction of sediment yield (case study: 1259–1267). Arab J Geosci. https://doi.org/10.1007/s12517-010-0271-6
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