Course Outline:

Module 1: Introduction to QGIS for Hydrology

• Overview of QGIS and its capabilities for hydrological analysis

• Installing and setting up QGIS for hydrological applications

• Introduction to key QGIS plugins for hydrology (e.g., HydroTools, QSWAT, Processing Toolbox)

• Basic QGIS functions: adding layers, symbology, and map layout design

Case Study:

• Basic Hydrological Mapping: Participants will import and visualize geospatial data such as DEMs, watersheds, and river networks. They will create a basic map to represent water flow and watershed boundaries using QGIS.

Module 2: Working with Raster Data for Hydrology

• Understanding raster data: DEMs, land cover, and precipitation data

• Working with raster layers in QGIS (resampling, reclassification, and analysis)

• Analyzing elevation data and terrain features for hydrological analysis

• Slope, aspect, and flow direction analysis using raster data

Case Study:

• Watershed Delineation Using DEM: Participants will perform watershed delineation using a DEM (Digital Elevation Model) to identify flow direction and create a watershed boundary for a given region.

Module 3: Watershed Delineation and Stream Network Analysis

• Introduction to watershed delineation and stream network analysis

• Using QSWAT or HydroTools plugin for watershed modeling

• Identifying stream networks, sub-watersheds, and river basins

• Flow accumulation and drainage networks analysis

Case Study:

• Stream Network and Watershed Analysis: Participants will use QSWAT to delineate a watershed and identify the stream network for flood risk analysis and water resource management.

Module 4: Hydrological Modeling with QGIS

• Introduction to hydrological modeling concepts (e.g., rainfall-runoff models)

• Using QGIS for hydrological modeling (e.g., SWAT, HEC-RAS, HydroTools)

• Setting up hydrological models using spatial data (DEM, land use, soil types)

• Performing basic rainfall-runoff simulations and analyzing model results

Case Study:

• Rainfall-Runoff Modeling: Participants will simulate rainfall-runoff processes using QGIS and the SWAT plugin to model how different precipitation scenarios impact water flow in a watershed.

Module 5: Hydrological Data Visualization in QGIS

• Visualization techniques for hydrological data (e.g., heatmaps, flow direction maps)

• Creating thematic maps for water resources, hydrological models, and flood zones

• Labeling, symbology, and map design for clear communication

• Generating interactive maps using QGIS Web Client

Case Study:

• Flow Visualization and Risk Mapping: Participants will visualize hydrological flow patterns and identify flood risk areas using QGIS symbology and styling tools.

Module 6: Flood Risk Assessment and Mapping

• Introduction to flood risk assessment and floodplain mapping

• Using QGIS for flood modeling and risk analysis

• Working with flood hazard data (e.g., flood zones, river discharge, rainfall intensity)

• Analyzing floodplain boundaries and assessing flood risks

Case Study:

• Flood Risk Mapping: Participants will use QGIS to create floodplain maps based on river discharge data, precipitation, and historical flooding events to assess flood risks in a given area.

Module 7: Water Quality Monitoring with QGIS

• Introduction to water quality monitoring and data collection

• Working with water quality data in QGIS (e.g., temperature, pH, turbidity)

• Spatial analysis of water quality data for pollution source identification

• Using QGIS to visualize water quality trends and hot spots

Case Study:

• Water Quality Monitoring: Participants will analyze water quality data to identify pollution sources and visualize trends in water quality across a watershed using QGIS.

Module 8: Hydrological Data Integration and Processing

• Integrating hydrological data from different sources (e.g., satellite imagery, field surveys)

• Using Processing Toolbox to automate spatial analysis workflows

• Data preprocessing techniques (e.g., data cleaning, formatting)

• Converting between spatial data formats for analysis

Case Study:

• Data Integration for Hydrological Analysis: Participants will integrate different datasets (e.g., DEMs, land cover, precipitation) to perform comprehensive hydrological analysis and visualization in QGIS.

Module 9: Advanced Spatial Analysis for Hydrological Applications

• Advanced spatial analysis techniques (e.g., buffering, spatial joins, hotspot analysis)

• Analyzing hydrological impacts on land use and water resources

• Using QGIS for environmental impact assessments

• Advanced modeling of hydrological processes (e.g., flood routing, groundwater recharge)

Case Study:

• Groundwater Recharge Analysis: Participants will use advanced spatial analysis techniques to model groundwater recharge in a given watershed using QGIS.

Module 10: Final Project and Reporting

• Applying knowledge to a real-world hydrological case study

• Participants will work in groups to conduct a comprehensive hydrological analysis using QGIS

• Creating a final report and map presentation to communicate findings and recommendations

• Tips for sharing QGIS results with stakeholders (e.g., exporting maps, creating interactive web maps)

Case Study:

• Comprehensive Hydrological Analysis: Participants will conduct a complete hydrological analysis (including watershed delineation, flow analysis, flood risk, and water quality) for a chosen region, present findings in a report, and create maps for stakeholder communication.