Overall Green Forest fire alert in Nigeria from 28 Nov 2022 00:00 UTC to 07 Dec 2022 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 1010334
Countries:	Nigeria
Start Date - Last detection*:	28 Nov 2022 - 13 Dec 2022
Duration (days):	15
People affected:	2557 in the burned area
Burned area:	7421 ha
More Info:	Global Wildfire Information System

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

GDACS Score

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06 Dec 05:03 07 Dec 05:04 08 Dec 05:06

Impact Timeline

ID	GDACS Score	Population Affected	Burned Area (ha)	Last Update	Source
1	0.5	2557	6432	06 Dec 2022 04:00	GWIS
2	0.5	2557	6844	07 Dec 2022 04:00	GWIS
3	0.5	2557	7421	08 Dec 2022 04:00	GWIS
4	0.5	2557	7464	09 Dec 2022 04:00	GWIS
5	0.5	2696	7542	10 Dec 2022 04:00	GWIS
6	0.5	2696	8207	12 Dec 2022 04:00	GWIS
7	0.5	2696	8247	13 Dec 2022 04:00	GWIS
8	0.5	2696	8397	14 Dec 2022 04:00	GWIS

Fires Joined

This event includes other close identified fires:

Exposed population

The forest fire happened in Nigeria , State of Sokoto (population 4,824,822) .

CCI Land Cover

Radius	Population
10 km	38000 people
5 km	18000 people
2 km	5200 people
1 km	3800 people
Burned Area	2700 people

Land Cover	area	Source
Protected Area	39 ha	WDPA

Affected Provinces

Region Province	Country	Population
Sokoto	Nigeria	4.8 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
Gusau		462	Civ.	Unpaved	No	4800	67 km

Ports

Dams

Reservoir	Dam Name	River	Year	Distance
	Bakolori	Sokoto	1978	59 km
	Gusau	Sokoto	n/a	61 km

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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