Overall Green Forest fire alert in The Democratic Republic of Congo, Sudan from 07 Jan 2023 00:00 UTC to 23 Jan 2023 00:00 UTC

Event summary

This forest fire is expected to have a low humanitarian impact based on the magnitude and the affected population and their vulnerability.

GDACS ID	WF 1011550
Countries:	The Democratic Republic of Congo, Sudan
Start Date - Last detection*:	07 Jan 2023 - 26 Jan 2023
Duration (days):	19
People affected:	0 in the burned area
Burned area:	5775 ha
More Info:	Global Wildfire Information System

*(Last detection of the thermal anomaly of the fire)

GDACS Score

Detailed event map. European Union, 2024. Map produced by EC-JRC.
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22 Jan 06:04 23 Jan 06:04 24 Jan 06:04

Impact Timeline

ID	GDACS Score	Burned Area (ha)	Last Update	Source
1	0.5	5348	22 Jan 2023 04:00	GWIS
2	0.5	5593	23 Jan 2023 04:00	GWIS
3	0.5	5775	24 Jan 2023 04:00	GWIS
4	0.5	5846	25 Jan 2023 04:00	GWIS
5	0.5	5982	26 Jan 2023 04:00	GWIS
6	0.5	6307	27 Jan 2023 04:00	GWIS

Fires Joined

This event includes other close identified fires:

Exposed population

The forest fire happened in The Democratic Republic of Congo , Region of Haut-Zaire (population 5,815,627) .

CCI Land Cover

Radius	Population
10 km	no people
5 km	no people
2 km	no people
1 km	no people
Burned Area	no people

Land Cover	area	Source
Protected Area	1210 ha	WDPA

Affected Provinces

Region Province	Country	Population
Haut-Zaire	The Democratic Republic of Congo	5.8 million people
Al Istiwa'iyah	Sudan	1.4 million people

Affected populated places

see full list

Critical infrastructure

Airports, ports, nuclear plants and hydrodams at risk, if affected, are listed below.

Airports

Name	IATA Code	Elevation (m)	Usage	Runway type	IFR	Runway Length (ft)	Distance
Faradje		820	Civ.	Unpaved	No	3600	105 km

Ports

Dams

Nuclear plants

More information

For a full list of available products related to this event, please refer to the GDACS Resources page.

Disclaimer
While we try everything to ensure accuracy, this information is purely indicative and should not be used for any decision making without alternate sources of information.
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