JRC Data Catalogue
DATASETCompleted

Flood risk assessment in Bujumbura, Burundi (2024-04-20)

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Since April 2021, the waters of Lake Tanganyika have been rising at an alarming rate, reaching levels not seen in 60 years. The Institut géographique du Burundi (IGEBU) has predicted heavy rainfall between March and May 2024, and the forecasts seem accurate as major rainfall is being experienced. The impact of this rising water level includes loss of agricultural production, displaced populations, and the closure of businesses and other activities.

In Bujumbura, apart from the economic infrastructure at risk such as the port and airport, there is concern about REGIDESO's only water catchment point, which supplies water to a large part of Bujumbura and is located 3,500 meters from the lake shore.

The aim of this activation is to deliver flood risk assessment information, based on various scenarios of water-level rise. This includes analysis based on current forecasts and a medium-level risk scenario as well as critical infrastructure exposure assessment.

Contributors

How to cite

European Commission, Joint Research Centre (2024): Flood risk assessment in Bujumbura, Burundi (2024-04-20). [Dataset] doi: 10.2905/JRC.QRRT4ZG PID: http://data.europa.eu/89h/a5b76e6e-c1ef-562d-9082-e77b5d42f47a

Keywords

CopernicusEMSN190FloodPreparednessRisk and Recovery Mapping

Data access

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • In ISO A1 size PDFs, display the geodata produced for the activation in a structured cartographic format with defined layouts and symbology, as single-page overview maps for each product or area of interest (AOI), or mapbooks, which are collections of variously scaled maps in a unique PDF. Both formats include INSPIRE compliant XML metadata for all available files.

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • In ISO A1 size PDFs, display the geodata produced for the activation in a structured cartographic format with defined layouts and symbology, as single-page overview maps for each product or area of interest (AOI), or mapbooks, which are collections of variously scaled maps in a unique PDF. Both formats include INSPIRE compliant XML metadata for all available files.

Other resources

HTML

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HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Spatial coverage

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-ems-riskrecoverymapping (at) ec.europa.eu
Access rights
public

access status for resources that are publicly accessible

Update frequency
unknown

The event occurs with unknown regularity.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Regions and cities

dataset theme covering the domains of regions and cities, where regions is defined by political geography units including sovereign states, subnational administrative areas, and multinational groupings, and cities are characterised as large human settlements

Geographical name(s)
Burundi
Issued date
2024-04-20
Modified date
20 Apr 2024 09:20
Landing page
Dataset identifier
Other identifiers
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