# The ADHI dataset: African Database of Hydrometric Indices: new perspectives for African hydrology studies

Nathalie Rouché, Yves Tramblay, J.-E. Paturel, Gil Mahe, Jean-François Boyer, Ernest Amoussou, Ansoumana Bodian, Honoré Dacosta, Hamouda Dakhlaoui, A. Dezetter, et al.

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## To cite this version:

Nathalie Rouché, Yves Tramblay, J.-E. Paturel, Gil Mahe, Jean-François Boyer, et al. The ADHI dataset: African Database of Hydrometric Indices: new perspectives for African hydrology studies. EGU General assembly 2021, European Geosciences Union, Apr 2021, Online, Germany. hal-04157490

HAL Id: hal-04157490

https://hal.science/hal-04157490

Submitted on 10 Jul 2023

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RÉPUBLIQUE
FRANÇAISE

Liberté
Égalité
Fraternité

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Institut de Recherche
pour le Développement
FRANCE

EGU General Assembly 2021

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HydroSciences
Montpellier

# The ADHI dataset: African Database of Hydrometric Indices: new perspectives for African hydrology studies

Nathalie Rouché<fnref n="1" />, Yves Tramblay<fnref n="1" />, Jean-Emmanuel Paturel<fnref n="1" />, Gil Mahé<fnref n="1" />, Jean-François Boyer<fnref n="1" />, Ernest Amoussou<fnref n="2" />, Ansoumana Bodian<fnref n="3" />, Honoré Dacosta<fnref n="4" />, Hamouda Dakhlaoui<fnref n="5" />,<fnref n="6" />, Alain Dezetter<fnref n="1" />, Denis Hughes<fnref n="7" />, Lahoucine Hanich<fnref n="8" />,<fnref n="9" />, Christophe Peugeot<fnref n="1" />, Raphael Tshimanga<fnref n="10" />, Patrick Lachassagne<fnref n="1" />

<footnote n="1">1 HydroSciences Montpellier, Univ. Montpellier, CNRS, IRD, Montpellier, France</footnote>

<footnote n="2">2 Département de Géographie et Aménagement du Territoire (DGAT) de l'Université de Parakou (UP), BP 123 Parakou, Bénin</footnote>

<footnote n="3">3 Laboratoire Leïdi "Dynamique des Territoires et Développement", Université Gaston Berger (UGB), BP 234 - Saint Louis, Sénégal</footnote>

<footnote n="4">4 Département de Géographie-FLSH, Université Cheikh Anta Diop de Dakar (UCAD), Sénégal</footnote>

<footnote n="5">5 LMHE, Ecole Nationale des Ingénieurs de Tunis, University of Tunis El Manar, BP 37, 1002 Tunis le Belvédère, Tunisia</footnote>

<footnote n="6">6 Ecole Nationale d'Architecture et d'Urbanisme, University of Carthage, Rue El Quods, 2026, Sidi Bou Said, Tunisia</footnote>

<footnote n="7">7 Institute for Water Research, Rhodes University, South Africa</footnote>

<footnote n="8">8 L3G Laboratory, Earth Sciences Department, Faculty of Sciences & Techniques, Cadi Ayyad University, BP 459, 40000 Marrakech, Mo rocco</footnote>

<footnote n="9">9 Mohammed VI Polytechnic University (UM6P), Centre for Remote Sensing and Application, Morocco</footnote>

<footnote n="10">10 Congo Basin Water Resources Research Center -CRREBaC, University of Kinshasa, Kinshasa, Democratic Republic of the Congo</footnote>
# A lack of accessible river discharge data

At the African scale, there is a lack of coordination for hydrological data collection and dissemination: hydrological data is often scattered, heterogeneous or incomplete

Numerous public, semi-public and private organizations produce and manage data, but often they do not have the resources to exchange, standardize, summarize and capitalize on the data they generate

There is not enough partnership between the national hydrological services, in many countries licensing issues prevent the distribution of the data collected. There is also a more general problem of a widespread reluctance to share information

There is need to develop links between data producers and users to reinforce capacities for accessing, processing and take benefit from existing data.

As a consequence, the African continent is largely under-represented in global scale studies

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Stein et al 2020, WRR

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Harrigan et al 2020, HESS
## Data sources

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Global Runoff Data Center
(https://www.bafg.de/GRDC)

9900 stations from 159 countries

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SIEREM database
(http://www.hydrosciences.fr/sierem/)

13000 stations in Africa (river discharge, water level, rainfall, temperature)

GIS database for catchment data

Scanned, geo-referenced documents recovered from historical hydrological archives (1342 pictures, 391 geo-referenced albums).
# The SIEREM database

**SIEREM** = **Système d'Informations Environnementales pour les Ressources en Eau et leur Modélisation** - ***Environmental Information System for water resources and modeling for Africa*** -

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# The largest assembled database of daily discharge data in Africa - ADHI

A new streamflow dataset of about 1500 gauging stations, from station data of GRDC and SIEREM databases with a minimum of 10 years of daily discharge

It extend from 1950 to 2018

Accessible to the scientific community

Most complete existing dataset of the African continent.

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Tramblay Y. and Rouché N.: ADHI: African Database of Hydrometric Indices, DataSuds, IRD, doi:10.23708/LXGXQ9, 2020.
# Hydrometric indices and signatures

Different indices and signatures are representing mean flow characteristics and extremes (low flows and floods) are provided in ADHI, allowing to :

- study the long-term evolution of hydrology in Africa

- characterize of the hydrological regime and applications linked to the management of water resources and hydrological risks

- support the modelling efforts that aim at reducing the vulnerability of African countries to hydro-climatic variability.

<table><thead><tr><th></th><th></th></tr></thead><tbody><tr><td>Basic indices</td><td>Mean, Max, Min, STD, percentiles of daily streamflow, mean monthly runoff...</td></tr><tr><td>Hydrologic signatures</td><td>Baseflow index, half-flow date, autocorrelation of runoff, flow duration curve, Flashiness index, variability index, master recession curves, Skewness, rising limb density....</td></tr><tr><td>Time series</td><td>Annual mean, max, min of 7-day runoff<br>Monthly mean, max, min runoff</td></tr></tbody></table>
Catchment delineation, with automated procedures and
manual verification

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1. Topotoolbox (Matlab)=
https://topotoolbox.wordpress.com/

2. Semi-manual with Arcmap

3. Verification with metadata and historical reports :
https://horizon/documentation.ird.fr

Horizon
Pleins textes

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Institut de Recherche
pour le Développement
FRANCE

La base de ressources documentaires de l'IRD

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Catchment attributes

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1. Precipitation, temperature, evapotranspiration (CRU TS4)

2. Elevation (HydroSheds 300m)

3. Land cover (38 classes from ESA CC 2015)

4. Dams and reservoirs (GrandD)

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ADHI is available
online at:

https://doi.org/10.23
708/LXGXQ9

No login required,
100% accessible,
Open Data licence

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