Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  From Data Scarcity to Solutions: Hydrological and Water Management Modeling in a Highly Managed River Basin

Koch, H., Yangouliba, G. I., Liersch, S. (2025): From Data Scarcity to Solutions: Hydrological and Water Management Modeling in a Highly Managed River Basin. - Water, 17, 6, 823.
https://doi.org/10.3390/w17060823

Item is

Dateien

einblenden: Dateien
ausblenden: Dateien
:
water-17-00823-v2.pdf (Verlagsversion), 11MB
Name:
water-17-00823-v2.pdf
Beschreibung:
-
OA-Status:
Sichtbarkeit:
Öffentlich
MIME-Typ / Prüfsumme:
application/pdf / [MD5]
Technische Metadaten:
Copyright Datum:
-
Copyright Info:
-

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Koch, Hagen1, Autor           
Yangouliba, Gnibga Issoufou2, Autor
Liersch, Stefan1, Autor           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: In many river basins worldwide, decision-making depends on limited data and information. Yet, decisions, like the planning of a new multi-purpose dam, must be taken relying on available data. The incorporation of socio-economic developments, climate or land use changes into this process remains a separate concern. Undoubtedly, authorities worldwide possess undisclosed data, which complicates scientific efforts. This study aims to address the challenges of developing a hydrological and water management model for the data-scarce and extensively managed Volta River Basin in West Africa. To overcome the limitations posed by sparse easily accessible observational data, a time- and resource-demanding data integration approach was applied using a diverse array of data sources covering various time periods, including manually digitized analog records from hydrological yearbooks, graphics, and other multilingual sources. This approach has been shown to enhance the spatio-temporal availability of data, thereby allowing for the optimization of model parameters to simulate the increasing impact of human intervention on river discharge. The incorporation of comprehensive data has enhanced the robustness of the model, where complex hydrological processes and water management dynamics are captured with greater accuracy. This would not have been possible if only the easily accessible data had been used.

Details

einblenden:
ausblenden:
Sprache(n): eng - English
 Datum: 2024-12-202025-03-062025-03-132025-03-13
 Publikationsstatus: Final veröffentlicht
 Seiten: 19
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3390/w17060823
MDB-ID: yes - 3537
Organisational keyword: RD2 - Climate Resilience
PIKDOMAIN: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
Model / method: SWIM
Research topic keyword: Freshwater
Regional keyword: Africa
OATYPE: Gold Open Access
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Water
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 17 (6) Artikelnummer: 823 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140903
Publisher: MDPI