Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems

Floods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective flood early warning systems. This paper presents a data set collected using...

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Main Authors: Lawrence Mdegela, Yorick De Bock, Edith Luhanga, Judith Leo, Erik Mannens
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235234092300505X
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author Lawrence Mdegela
Yorick De Bock
Edith Luhanga
Judith Leo
Erik Mannens
author_facet Lawrence Mdegela
Yorick De Bock
Edith Luhanga
Judith Leo
Erik Mannens
author_sort Lawrence Mdegela
collection DOAJ
description Floods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective flood early warning systems. This paper presents a data set collected using ultrasonic distance sensors installed at two locations along the Kikuletwa River in the Pangani River Basin, Northern Tanzania. The dataset consists of hourly measurements of river water levels, providing a high-resolution time series that can be used to study trends in water level changes and to develop more accurate flood early warning systems.The Kikuletwa River dataset has significant potential applications for flood management, including the calibration and validation of hydrological models, the identification of critical thresholds for flood warning, and the evaluation of flood forecasting techniques. The dataset can also be used to study the hydrological processes in the basin, such as the relationship between rainfall and river discharge, and to develop more efficient and effective flood management strategies.The ultrasonic distance sensors were configured to record river level data at hourly intervals, providing a continuous time series of river levels. The data was subjected to quality control procedures to ensure accuracy and consistency, and missing or erroneous data was corrected or removed where necessary.
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spelling doaj.art-d14b5adc013f421e98ec0437285be8222023-08-13T04:54:12ZengElsevierData in Brief2352-34092023-08-0149109395Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systemsLawrence Mdegela0Yorick De Bock1Edith Luhanga2Judith Leo3Erik Mannens4University of Antwerp – imec IDLab, Department of Computer Science Sint-Pietersvliet 7, 2000 Antwerp, Belgium; The Nelson Mandela African Institution of Science and Technology, P.O Box 447, Arusha, Tanzania; Corresponding author.University of Antwerp – imec IDLab, Department of Computer Science Sint-Pietersvliet 7, 2000 Antwerp, BelgiumCarnegie Mellon African University, P.O Box 6150, Kigali, RwandaThe Nelson Mandela African Institution of Science and Technology, P.O Box 447, Arusha, TanzaniaUniversity of Antwerp – imec IDLab, Department of Computer Science Sint-Pietersvliet 7, 2000 Antwerp, BelgiumFloods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective flood early warning systems. This paper presents a data set collected using ultrasonic distance sensors installed at two locations along the Kikuletwa River in the Pangani River Basin, Northern Tanzania. The dataset consists of hourly measurements of river water levels, providing a high-resolution time series that can be used to study trends in water level changes and to develop more accurate flood early warning systems.The Kikuletwa River dataset has significant potential applications for flood management, including the calibration and validation of hydrological models, the identification of critical thresholds for flood warning, and the evaluation of flood forecasting techniques. The dataset can also be used to study the hydrological processes in the basin, such as the relationship between rainfall and river discharge, and to develop more efficient and effective flood management strategies.The ultrasonic distance sensors were configured to record river level data at hourly intervals, providing a continuous time series of river levels. The data was subjected to quality control procedures to ensure accuracy and consistency, and missing or erroneous data was corrected or removed where necessary.http://www.sciencedirect.com/science/article/pii/S235234092300505XRiver levelsFlood early warningData scarcityUngauged riversSensors
spellingShingle Lawrence Mdegela
Yorick De Bock
Edith Luhanga
Judith Leo
Erik Mannens
Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
Data in Brief
River levels
Flood early warning
Data scarcity
Ungauged rivers
Sensors
title Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
title_full Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
title_fullStr Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
title_full_unstemmed Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
title_short Monitoring Kikuletwa river levels in northern Tanzania: A data set unlocking insights for effective flood early warning systems
title_sort monitoring kikuletwa river levels in northern tanzania a data set unlocking insights for effective flood early warning systems
topic River levels
Flood early warning
Data scarcity
Ungauged rivers
Sensors
url http://www.sciencedirect.com/science/article/pii/S235234092300505X
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