Flood Prediction Using Machine Learning Models

Abstract

Hereby, we, the members, consciously assure that the following is fulfilled for the manuscript, "Flood Prediction Using Machine Learning Models".1. The contents of this paper are unique work of the writers' and it has not been published before.2. Only the authors' own research and analysis is presented in the work with utmost accuracy.3. Contributions by the co-authors and co-researchers are rightly acknowledged in the study.4. All sources are appropriately mentioned (correct citation). Text that is literally copied must be identified as such by using quote marks and providing suitable reference.5. The authors actively participated and put in effort leading to the article and any public responsibility related to it's content will be accepted.Violations of the Ethical Statement standards may have serious repercussions. We agree with the preceding declarations and certify that this submission adheres to BRAC University's rules.

A review of artificial intelligence in marine science

“…The smart ocean combines AI and the ocean, the deep development of ocean information, and the nervous system to understand and plan the ocean (Jiang et al, 2018). Making full use of ocean big data can help human research to achieve better development in coping with climate change, protecting the ecological environment, and preventing natural disasters (Rasouli et al, 2012;Kim et al, 2014;Deo and Şahin, 2015;Rosso et al, 2020;Lou et al, 2021;Syeed et al, 2022).…”

Flood Forecasting by Using Machine Learning: A Study Leveraging Historic Climatic Records of Bangladesh

“…Natural catastrophes can have severe effects, leading to extensive destruction and fatalities. One of the most critical weather factors that affects many parts of our everyday lives is rainfall [1,2]. Floods, one of the planet's most common catastrophes, seriously negatively impact the economy and agribusiness.…”

“…In this direction, a number of studies have been presented, such as those of Asif et al [1], and Luo et al [13]. Similarly, effective machine learning has been utilised to construct a rain forecast model in numerous research [1,6,14].…”

“…Finally, this paper offers a thorough investigation of the suggested model, for which a lengthy experiment was used. To summarise, the significant contributions of the discussed work are as follows: In this direction, a number of studies have been presented, such as those of Asif et al [1], and Luo et al [13]. Similarly, effective machine learning has been utilised to construct a rain forecast model in numerous research [1,6,14].…”

“…To summarise, the significant contributions of the discussed work are as follows: In this direction, a number of studies have been presented, such as those of Asif et al [1], and Luo et al [13]. Similarly, effective machine learning has been utilised to construct a rain forecast model in numerous research [1,6,14]. Osmani et al [15] suggest a novel approach for predicting monthly dry days at six target points using several machine learning (ML) techniques.…”