PV powered flood warning system: A case study of Matamuhuri river, Bangladesh

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorFaruk, Omar
dc.contributor.authorNazmul Huda, A.S.
dc.contributor.authorIslam, Mohaimenul
dc.contributor.authorIslam, Raisa
dc.contributor.authorSalmani, Md. Golam
dc.contributor.authorAfrida Nawar Aliva, N.
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-09-14T07:48:47Z
dc.date.available2026-09-14T07:48:47Z
dc.date.issued2022-01-01
dc.description.abstractFlood is one of the most devastating calamities in Bangladesh. This study presents an automated, sustainable and efficient flood warning system for Matamuhuri river in Bangladesh. The proposed system can harness the required power from PV system and can also store the additional backup energy for adverse climate conditions. In order to maintain one-way communication with the affected people, a real-time alert is incorporated into the system based on the river water level. Necessary hardware and simulation work are conducted in this study. The result shows that the system requires 32 Wh energy daily for the proposed case study. Considering catastrophic stormy days during flash floods, the battery requirement could be changed to 12V/10Ah. Possible reasons for the flood in the study area are also investigated by analyzing the real data. The proposed flood warning system can function in both normal and adverse weather conditions and be capable of raising awareness of the crisis among every group of the general public.
dc.description.versionPublished
dc.format.extent337-341
dc.identifier.citationO. Faruk, A. S. Nazmul Huda, M. Islam, R. Islam, M. G. Salmani and N. Afrida Nawar Aliva, "PV Powered Flood Warning System: A Case Study of Matamuhuri River, Bangladesh," 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Naya Raipur, India, 2022, pp. 337-341, doi: 10.1109/WIECON-ECE57977.2022.10150549.
dc.identifier.doi10.1109/WIECON-ECE57977.2022.10150549.
dc.identifier.issn9798350311563
dc.identifier.other2-s2.0-85164262793
dc.identifier.urihttps://hdl.handle.net/10361/29910
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/WIECON-ECE57977.2022.10150549
dc.relation.ispartofProceedings of 2022 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2022
dc.relation.ispartofseriesProceedings of 2022 IEEE International Women in Engineering Wie Conference on Electrical and Computer Engineering Wiecon Ece 2022
dc.relation.urihttps://ieeexplore.ieee.org/document/10150549
dc.subjectFlood warning
dc.subjectGSM module
dc.subjectPV system
dc.subjectVoiceover
dc.subject.lcshFlood forecasting.
dc.subject.lcshPhotovoltaic power systems.
dc.titlePV powered flood warning system: A case study of Matamuhuri river, Bangladesh
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57218382433
person.identifier.scopus-author-id55838920700
person.identifier.scopus-author-id57207284164
person.identifier.scopus-author-id58478530500
person.identifier.scopus-author-id58478732900
person.identifier.scopus-author-id58478733000

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