Classification of Flood Levels using Random Forest and Support Vector Machine Algorithms
Larasati Syarafina Qamarani(1*), Mardhani Riasetiawan(2)
(1) University of Gadjah Mada
(2) 
(*) Corresponding Author
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Kundzewicz, Z.W., Pińskwar, I. and Brakenridge, G.R., 2018. Changes in river flood hazard in Europe: a review. Hydrology research, 49(2), pp.294-302, 2017 [Online]. Available:https://iwaponline.com/hr/article/49/2/294/37824/Changes-in-river-flood-hazard-in-Europe-a-review. [Accessed: 19-June-2023] [2] Behera, J., 2020. Classifying Flood Severity Using Machine Learning. Doctoral dissertation, Dublin, National College of Ireland, Nov. 2021 [Online]. Available: https://www.researchgate.net/publication/356372808_A_machine_learning_approach_to_flood_severity_classification_and_alerting. [Accessed: 17-June-2023] [3] Sharma, P., Kar, B., Wang, J. and Bausch, D., “A Machine Learning approach to flood severity classification and alerting,” ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, pp. 42-47, Nov. 2021 [Online]. Available: https://www.semanticscholar.org/paper/A-Machine-Learning-Approach-to-Flood-Depth-and-1A-B-Tiampo-Woods/1b085fdc46e5cb386e4f961c024129c39d89e656. [Accessed: 16-June-2023] [4] Alipour, A., Ahmadalipour, A., Abbaszadeh, P. and Moradkhani, H., 2020. Leveraging Machine Learning for predicting flash flood damage in the Southeast US. Environmental Research Letters, 15(2), p.024011, Feb. 2020 [Online]. Available: https://iopscience.iop.org/article/10.1088/1748-9326/ab6edd. [Accessed: 20-June-2023] [5] Khan, T.A., Shahid, Z., Alam, M., Su'ud, M.M. and Kadir, K., 2019, December. Early flood risk assessment using machine learning: A Comparative Study of SVM, Q-SVM, KNN, and LDA. In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), pp. 1-7, 2019 [Online]. Available: https://ieeexplore.ieee.org/document/9024796. [Accessed: 16-June-2023] [6] Khalaf, M., Hussain, A.J., Al-Jumeily, D., Baker, T., Keight, R., Lisboa, P., Fergus, P. and Al Kafri, A.S., 2018, July. A data science methodology based on Machine Learning algorithms for flood severity prediction. IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, Jul. 2020 [Online]. Available: https://jurnal.ugm.ac.id/ijccs/article/view/11187. [Accessed: 17-June-2023] [7] Fitriyaningsih, I., Basani, Y. and Ginting, L.M., Machine Learning: Prosperity Of Rainfall, Water Discharge, And Flood With Web Application In Deli Serdang-Aplikasi Prediksi Curah Hujan, Debit Air, dan Kejadian Banjir Berbasis Web dengan Machine Learning di Deli Serdang. Jurnal Penelitian Komunikasi dan Opini Publik, 22(2), p.272740, Dec. 2018 [Online]. Available: https://www.neliti.com/publications/272740/machine-learning-prosperity-of-rainfall-water-discharge-and-flood-with-web-appli. [Accessed: 1-July-2023] [8] Grady, F., Tarigan, J.K., Wahidiyat, J.R. and Prasetyo, A., November. Classification of Flood Alert in Jakarta with Random Forest. 2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA), pp. 1-6, 2022 [Online]. Available: https://ieeexplore.ieee.org/document/9971411. [Accessed: 22-June-2023 [9] Kim, D., Park, J., Han, H., Lee, H., Kim, H.S. and Kim, S., 2023. Application of AI-Based Models for Flood Water Level Forecasting and Flood Risk Classification. KSCE Journal of Civil Engineering, pp.1-12, May 2023 [Online]. Available: https://link.springer.com/article/10.1007/s12205-023-2175-5. [Accessed: 1-February-2024] [10] Sharma, T., Pal, A., Kaushik, A., Yadav, A. and Chitragupta, A., 2022, February. A Survey on Flood Prediction analysis based on ML Algorithm using Data Science Methodology. 2022 IEEE Delhi Section Conference (DELCON) pp. 1-8, 2022 [Online]. Available: https://ieeexplore.ieee.org/document/9753396. [Accessed: 16-Feb-2017]
DOI: https://doi.org/10.22146/ijeis.97043
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