Training on QGIS for Hydrological Applications
QGIS for Hydrology Training – Apply GIS in water resource management, flood risk assessment, and watershed modeling.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
QGIS has become one of the most powerful open-source tools for hydrological analysis, watershed modeling, and water resources management. This training equips participants with hands-on skills in applying QGIS for hydrological mapping, watershed delineation, flood risk assessment, and integration with remote sensing data. Participants will gain both theoretical knowledge and practical experience using real-world datasets to solve hydrological challenges in water resource planning, environmental management, and disaster risk reduction.
Duration
5 Days
Who Should Attend
-
Hydrologists and water resource managers
-
Environmental scientists and geographers
-
GIS analysts and spatial planners
-
Engineers and disaster risk management professionals
-
Researchers and postgraduate students working on water and environmental studies
What you'll walk away with
By the end of this training, participants will be able to:
-
Understand hydrological applications of GIS and remote sensing.
-
Use QGIS tools for watershed and drainage network analysis.
-
Apply digital elevation models (DEMs) for hydrological modeling.
-
Integrate rainfall, streamflow, and climate data into QGIS.
-
Conduct flood risk and water resource assessments.
What we cover, module by module
Module 1: Introduction to QGIS and Hydrological Applications
-
Overview of QGIS for environmental and hydrological studies
-
QGIS interface, plugins, and hydrology toolkits
-
Case Study: Applying QGIS in river basin planning
Module 2: Digital Elevation Models (DEM) for Hydrological Analysis
-
DEM sources, preprocessing, and accuracy assessment
-
Flow direction, accumulation, and stream network extraction
-
Exercise: Delineating a watershed using DEM in QGIS
Module 3: Hydrological Modeling & Watershed Analysis
-
Watershed delineation and sub-basin mapping
-
Rainfall-runoff analysis with GIS data
-
Case Study: Watershed management planning for water conservation
Module 4: Flood Risk and Water Resource Mapping
-
Integrating rainfall, soil, and land use data
-
Flood hazard zoning and risk mapping in QGIS
-
Exercise: Creating a flood risk map for a river catchment
Module 5: Advanced Hydrological Applications & Reporting
-
Linking QGIS with remote sensing for water resource monitoring
-
Data visualization, reporting, and map production
-
Case Study: Using QGIS for climate change impact assessment on water resources
Where the change lands
Organization Impact
-
Enhanced capacity to analyze hydrological data for better planning and decision-making
-
Improved flood risk mapping and water resource allocation strategies
-
Reduced reliance on external consultants for hydrological GIS tasks
-
Stronger integration of GIS-based evidence into policy, project design, and environmental reporting
Individual Impact
-
Gain practical skills in QGIS for hydrology and watershed management
-
Improve ability to conduct spatial analyses and hydrological modeling
-
Enhance career opportunities in water management, climate resilience, and environmental consulting
-
Build confidence in applying GIS tools for decision-making and project evaluations
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid10 daysLearn AI and computer vision for urban growth monitoring and informal settlement mapping using satellite imagery, GIS, deep learning, and spatial analytics.
Hybrid10 daysLearn AI-powered disaster damage assessment using satellite imagery, machine learning, GIS, and remote sensing for rapid response and recovery planning.
Hybrid10 daysLearn AI-powered water body and flood extent mapping using SAR data, machine learning, GIS, and remote sensing for disaster management and water resources.
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on QGIS for Hydrological Applications in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.
