Course Modules

Module 1: Introduction to Hydrological Data and Systems

• Role of hydrological data in water management and disaster risk reduction

• Overview of hydrological variables and measurement methods

• Data needs for flood forecasting, irrigation, hydropower, and climate analysis

• Case study: Role of hydrological data in basin-scale management

Module 2: Hydrological Monitoring Networks

• Designing hydrological and meteorological monitoring networks

• Site selection criteria and instrumentation requirements

• Institutional and community-based monitoring frameworks

• Practical: Designing a monitoring network for a watershed

Module 3: Rainfall and Climate Data Collection

• Rain gauge types, installation, and maintenance

• Radar and satellite-based rainfall estimation

• Climate data sources (temperature, humidity, wind, solar radiation)

• Practical: Installing and calibrating a rain gauge

Module 4: Streamflow and Surface Water Measurements

• Gauging stations and river discharge measurement methods

• Stage-discharge relationships and rating curves

• Use of Acoustic Doppler Current Profilers (ADCPs) and current meters

• Practical: Measuring discharge and developing a rating curve

Module 5: Groundwater and Evapotranspiration Monitoring

• Groundwater level and quality monitoring techniques

• Use of piezometers, loggers, and telemetry systems

• Estimating evapotranspiration: field and remote sensing methods

• Exercise: Analyzing groundwater level time-series data

Module 6: Data Processing, Quality Control, and Management

• Data entry, validation, and consistency checks

• Detecting and correcting errors, filling gaps in datasets

• Database management systems for hydrological data

• Practical: Cleaning and validating rainfall and streamflow data

Module 7: Statistical and Spatial Analysis of Hydrological Data

• Time series analysis and trend detection

• Frequency analysis (floods and droughts)

• GIS applications for hydrological mapping and spatial analysis

• Practical: Analyzing rainfall-runoff relationships using real datasets

Module 8: Introduction to Hydrological Modeling

• Types of hydrological models: empirical, conceptual, distributed, and data-driven

• Overview of modeling tools (HEC-HMS, SWAT, MODFLOW, WEAP)

• Model setup: input data, boundary conditions, and assumptions

• Case study: Model applications in flood forecasting and water allocation

Module 9: Model Calibration, Validation, and Scenario Analysis

• Calibration techniques and performance evaluation (NSE, R², RMSE)

• Model validation using independent datasets

• Scenario testing: climate variability, land use changes, and water demand

• Practical: Building and calibrating a simple rainfall-runoff model

Module 10: Field Applications, Case Studies, and Wrap-Up

• Field visit: gauging station, monitoring site, or hydrological observatory

• Group project: Develop a hydrological data collection, analysis, and modeling plan for a catchment

• Presentation of project outputs and peer feedback

• Course review, evaluation, and certification