Detection of Water Level with Level Sensors in Bartin Stream and Its Branches and Its Integration to Flood Early Warning System

dc.contributor.authorAydın, Mehmet Safa
dc.contributor.authorAyaz, Furkan
dc.contributor.authorKeskin, Muhammed Zakir
dc.contributor.authorAlaybeyoğlu, Ersin
dc.contributor.authorGuler, Evrim
dc.contributor.authorGemici, Ercan
dc.contributor.authorKeskin, Muhammed Zakir
dc.contributor.authorAydın, Mehmet Safa
dc.contributor.authorAyaz, Furkan
dc.contributor.authorGüler, Evrim
dc.contributor.authorAlaybeyoğlu, Ersin
dc.contributor.authorGemici, Ercan
dc.date.accessioned2025-10-18T09:16:41Z
dc.date.created2025
dc.date.issued2025
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, İnşaat Mühendisliği Bölümü
dc.description9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025 -- Gaziantep -- 211342
dc.description.abstractFlash floods are a major threat to life and property. Various measures should be taken to minimize these losses. Flood early warning systems are one of these measures. In this study, ultrasonic and radar distance sensors were installed on the Bartin River and other tributaries feeding this river to detect water levels. With the data obtained from the installed level sensors, the changes in the water level in the riverbed are monitored instantaneously. The data obtained, together with meteorological forecasts, is fed into the hydrological model and warnings are generated 24-72 hours in advance. The knowledge of the water level rise in the regions outside the central settlement of the Bartin River enables the possibility of flooding in the central regions to be determined with a high degree of accuracy and the necessary measures to be taken. Each data station consumes about 30 Wh of energy. The energy capacity of each station is designed to be 960 Wh. This will allow the system to operate for long periods without sunlight. As part of this study, 32 level sensor stations have been installed on the Bartin River and its tributaries. The data obtained from these stations are sent via 4G modems to the central server established at Bartin University Kutlubey Campus. The data from the stations increases the accuracy of the early flood warning system. © 2025 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/ISAS66241.2025.11101939
dc.identifier.isbn9798331514822
dc.identifier.scopus2-s2.0-105014919968
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ISAS66241.2025.11101939
dc.identifier.urihttps://hdl.handle.net/11772/19366
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.relation.sdgGoal-11: Sustainable Cities And Communities
dc.relation.sdgGoal-13: Climate Action
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_20251016
dc.subjectClimate Change
dc.subjectEarly Flood Warning System
dc.subjectIot
dc.subjectLevel Sensor
dc.titleDetection of Water Level with Level Sensors in Bartin Stream and Its Branches and Its Integration to Flood Early Warning System
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublicationdca8c09b-e6c9-4175-9d9f-3616226e10ed
relation.isAuthorOfPublication9cb7993b-9838-42ed-8c4e-6500db495531
relation.isAuthorOfPublication0a9465a3-1cea-431c-9ad2-cf80bb218dc4
relation.isAuthorOfPublication181e6864-0de7-41e9-90eb-19bcf3d116b0
relation.isAuthorOfPublication2125e712-2c55-4f12-be22-eb1fc0fa7a1f
relation.isAuthorOfPublication2b69183e-d775-4045-a8ac-2be93b47b46f
relation.isAuthorOfPublication.latestForDiscoverydca8c09b-e6c9-4175-9d9f-3616226e10ed

Dosyalar