Predicting climate induced floods using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Библиографические подробности
Главные авторы:	Saleh, Chowdhury Nafis, Alam, Farhan, Khan, Md. Jawad
Другие авторы:	Shakil, Arif
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	Flood prediction Climate change Machine learning Artificial intelligence
Online-ссылка:	http://hdl.handle.net/10361/17160

id	10361-17160
record_format	dspace
spelling	10361-171602022-09-05T21:01:38Z Predicting climate induced floods using machine learning Saleh, Chowdhury Nafis Alam, Farhan Khan, Md. Jawad Shakil, Arif Department of Computer Science and Engineering, Brac University Flood prediction Climate change Machine learning Machine learning Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 29-32). Climate change has been causing devastation on the economy of the country and the world as a whole. The study aims to determine how climate change would impact the frequency and severity of one of the major natural disasters which is flood. Data sets containing information about the rise of global temperatures, annual rainfall, sea level rise and flood occurrences were surveyed and assembled. Different attributes from the assembled datasets were then taken out and spliced into datasets that suit the scope of our research. A plethora of machine learning algorithms have been used to develop different prediction models based on the constructed datasets. Algorithms employed in the development of flood prediction models include: “Logistic Regression”, “Decision Tree”, “K Nearest Neighbors”, “Support Vector Machine”, “Random Forest” and “Ensemble Learning”. Projection models were then trained by employing an “Autoregressive” approach for generating projection data, which were a prerequisite for the flood prediction models in making predictions of future flood incidents. And with the aid of the generated projection data, predictions of flood incidents were made for the years starting from 2022 to 2050. Chowdhury Nafis Saleh Farhan Alam Md. Jawad Khan B. Computer Science 2022-09-05T05:39:35Z 2022-09-05T05:39:35Z 2022 2022-01 Thesis ID 18101450 ID 18101197 ID 18101268 http://hdl.handle.net/10361/17160 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 32 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Flood prediction Climate change Machine learning Machine learning Artificial intelligence
spellingShingle	Flood prediction Climate change Machine learning Machine learning Artificial intelligence Saleh, Chowdhury Nafis Alam, Farhan Khan, Md. Jawad Predicting climate induced floods using machine learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
author2	Shakil, Arif
author_facet	Shakil, Arif Saleh, Chowdhury Nafis Alam, Farhan Khan, Md. Jawad
format	Thesis
author	Saleh, Chowdhury Nafis Alam, Farhan Khan, Md. Jawad
author_sort	Saleh, Chowdhury Nafis
title	Predicting climate induced floods using machine learning
title_short	Predicting climate induced floods using machine learning
title_full	Predicting climate induced floods using machine learning
title_fullStr	Predicting climate induced floods using machine learning
title_full_unstemmed	Predicting climate induced floods using machine learning
title_sort	predicting climate induced floods using machine learning
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/17160
work_keys_str_mv	AT salehchowdhurynafis predictingclimateinducedfloodsusingmachinelearning AT alamfarhan predictingclimateinducedfloodsusingmachinelearning AT khanmdjawad predictingclimateinducedfloodsusingmachinelearning
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Predicting climate induced floods using machine learning

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