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Rainfall-Intensity Duration Frequency Analysis for urban flood management options within Gountiyena basin in Niamey, Niger, 2019

The data consists of annual maxima series of different time durations from 5 minutes to 24 hours for two stations for the period 1990 to 2017. The data was extracted from the AMMA CATCH database for the two stations NY_IRI and NY_ORSTOM located within the city of Niamey.

The Extracted Annual Maxima Series was used in the development of Intensity Duration Frequency Curves as well as for the Peak discharge estimations for the basin of interest

Simple

Date (Publication)
2019
Presentation form
Digital table
User
  Pan African University Institute of Water and Energy Sciences (PAUWES) - Thomas Kavoo ( )
Resource provider
  AMMA CATCH - Geremy Panthou
GEMET - Concepts, version 2.4
  • flooding
  • water resources management
  • urbanisation
Theme
  • Intensity duration frequency analysis, Urban flooding
Place
  • Niamey
  • Gountiyena, Basin
Continents, countries, sea regions of the world.
  • Niger
Use constraints
License
Other constraints

All data are freely accessible to all registered users of the database.

Each dataset is characterized by a status which specifies the data access conditions:

- Public: datasets downloadable in their entirety by all the users.

- Public with embargo (partially restricted): datasets downloadable in their entirety by themembers of the observatory and their partners and with a slippery 3-year embargo period,starting on the date of the request for the other users.

- Private access: access reserved to members of the observatory.

Please check AMMA-CATCH DATA POLICY before re-using the data.

Metadata language
English
Topic category
  • Inland waters
Begin date
1990-01-01
End date
2017-12-31
N
S
E
W
thumbnail


Supplemental Information

Variables:

Year

5 Min (0.08 hrs)

10 Min (0.17 hrs)

15 Min (0.25 hrs)

30 Min (0.5 hrs)

1 hrs

2 hrs

6hrs

12 hrs

24 hrs

Distribution format
  • Comma Separated Values (CSV) ( nn )

OnLine resource
Amma Catch Database ( WWW:LINK-1.0-http--link )

Amma Catch Database

Statement
The data was accumulated into different time intervals using the R-Studio software
File identifier
a508fdaf-06c7-4153-9035-efe38c2716f7 XML
Date stamp
2020-10-08T14:35:44
User
  - Thomas Mutiso Kavoo
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

Intensity duration frequency analysis, Urban flooding
GEMET - Concepts, version 2.4
flooding urbanisation water resources management

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