Online Training Water Resources Modeling for Data-Scarce Regions

Online Training, 23/09/2025

Within the framework of the ENRUC project, the Faculty of Spatial Development and Infrastructure Systems at TH Köln – University of Applied Sciences, in collaboration with the University of Khartoum, is pleased to announce an online training program on Water Resources Modeling for Data-Scarce Regions (WRM2025).

At a Glance

Water Resources Modeling for Data- Scarce Regions

Online Training

When?

23/09/2025
15:00 to 18:00
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30/09/2025
15:00 to 18:00
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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:EUROPE/BERLIN BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT LOCATION:Online via ZOOM Registration Deadline: 10 September 2025 DESCRIPTION: SUMMARY:Water Resources Modeling for Data- Scarce Regions DTSTART;TZID=EUROPE/BERLIN:20250930T150000 DTEND;TZID=EUROPE/BERLIN:20250930T180000 DTSTAMP:20250907T223556 UID:68bdecac5d41d END:VEVENT END:VCALENDAR

Where?

Online via ZOOM
Registration Deadline: 10 September 2025

Costs

Free of charge

Academic coordinator

Chahinaz Ziani: Research associate at the University of Applied Sciences- Cologne, Hydraulics, Environmental and Urban Planning Engineer.
Awad Mohammed Ali: PhD Candidate at Wageningen University- Hydrological Modeler and Civil Engineer Chahinaz Ziani Awad Mohammed Ali

Registration

Registration Deadline: 10 September 2025 Register here

Organized by

Faculty of Spatial Development and Infrastructure Systems at TH Köln – University of Applied Sciences, in collaboration with the University of Khartoum

Additional information

Eastern Nile Research Universities and Centres (ENRUCs)

Practical skills for Water Resources Management

In two online sessions, this training offers practical skills for water resources management in data-scarce regions. Such regions often lack detailed and accurate hydrometeorological and geophysical in situ measurements. In this case, robust hydrological quantification highly depends on open-source datasets. However, data availability and study aim guide the selection of the modeling framework.

The first session deals with long-term water availability assessment and change over time. Focusing on the entire Nile basin, participants will conduct a large-scale and spatially variable water budget analysis. Additionally, the contribution of the natural (climate) and anthropogenic (land use) changes to water availability will be investigated.

The second session focuses on temporal data acquisition and streamflow estimation at the catchment scale.Using rainfall-runoff modeling, participants will predict daily discharge at the catchment outlet. Additionally, the implications of various scenarios involving the impacts of large hydraulic structures on downstream water availability will be examined.