Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria-Reference-Cited by-同舟云学术

Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria

Published:2023-09-23 Issue:3 Volume:119 Page:2179-2195
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Aiyelokun O. O.^ORCID,Aiyelokun O. D.,Agbede O. A.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-023-06211-7.pdf

Reference46 articles.

1. Adetunji OJ, Adeyanju IA, Esan AO (2023) Flood Areas prediction in Nigeria using artificial neural network. In: 2023 International conference on science, engineering and business for sustainable development goals (SEB-SDG), vol 1, pp 1–6. https://doi.org/10.1109/SEB-SDG57117.2023.10124629

2. Agbede OA, Aiyelokun OO (2016) Establishment of a stochastic model for sustainable economic flood management in Yewa Sub-Basin, southwest Nigeria. Civ Eng J 2(12):646–655. https://doi.org/10.28991/cej-2016-00000065

3. Agbede OA, Aiyelokun O, Ojelabi A, Oyelakin J (2019) Influence of low impact development on peak floods using system dynamics. UI J Civ Eng Technol 1(1):50–62

4. Aiyelokun OO, Agbede OA (2021) Development of random forest model as decision support tool in water resources management of Ogun headwater catchments. Appl Water Sci 11(7):1–9. https://doi.org/10.1007/s13201-021-01461-x

5. Aiyelokun O, Pham QB, Aiyelokun O, Malik A, Adarsh S, Mohammadi B et al (2021a) Credibility of design rainfall estimates for drainage infrastructures: extent of disregard in Nigeria and proposed framework for practice. Nat Hazards 109(2):1557–1588. https://doi.org/10.1007/s11069-021-04889-1

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