Flood forecasting using weather parameters

Saharudin, Muhammad Aqil Izdihar and Rosli, Muhamad Aizat Nazran and Handayani, Dini Oktarina Dwi and Basri, Atikah Balqis and Mahmod Attar Bashi, Zainab Senan and Suryady, Zeldi (2024) Flood forecasting using weather parameters. In: 2023 IEEE 9th International Conference on Computing, Engineering and Design (ICCED), 7- 8 November 2023, Kuala Lumpur, Malaysia.

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Abstract

Many of us have experienced flooding in Malaysia. It has several negative effects on our way of life, including shortage of food, mortality, and property destruction. To reduce the impact of flood disasters on our daily lives, flood forecasting is important. The weather warning is vital to safeguarding people and property. Despite the ability to analyze climate change due to the rapid development of geographic information systems and the availability of data from several sources, data mining applications are scattered and systematic efforts on climate data mining are limited. Thus, our proposed system aims to provide insight into weather changes. The system will be able to predict floods by using weather parameters such as rainfall and temperature. Recurrent Neural Networks (RNN) can be applied to these parameters in order to predict future weather. RNN is an efficient method because it can handle sequential data and accept both the input data being used now and inputs from the past as the internal memory allows them to remember prior inputs. This system can have easier access to the rainfall conditions ahead. Besides, Predictions of extreme weather changes or natural disasters might be used to implement preventive measures.

Item Type:	Proceeding Paper (Slide Presentation)
Uncontrolled Keywords:	Flood Forecasting, flood, weather parameters, recurrent neural network, predict floods, extreme weather changes
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr Dini Handayani
Date Deposited:	17 Apr 2024 15:22
Last Modified:	17 Apr 2024 16:23
URI:	http://irep.iium.edu.my/id/eprint/111769

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