Hydrological Surveying and Assessment Training Course

Participants can prepare spatial data for hydrological mapping and analysis.

• Projected and geographic coordinate reference systems selected for catchment mapping
• Datum transformations checked before combining survey, satellite, and engineering datasets
• Hydrographic base maps assembled from contours, rivers, roads, and administrative boundaries
• Raster and vector data structures matched to hydrological analysis requirements
• Metadata reviewed for source, resolution, date, accuracy, and usage constraints
• Map scale and positional accuracy assessed against survey design tolerances

Participants can delineate a catchment and drainage network from elevation data.

• Digital elevation models inspected for voids, artefacts, sinks, and resolution limitations
• Depression filling and breaching methods applied before flow-direction processing
• D8 flow-direction grids generated from conditioned elevation surfaces
• Flow accumulation thresholds selected using mapped channels and imagery evidence
• Watershed boundaries derived upstream from gauging stations and design locations
• Terrain-derived drainage networks compared with mapped hydrography and field observations

Participants can interpret remote-sensing data to support hydrological survey decisions.

• Satellite imagery interpreted for channels, wetlands, drainage obstructions, and land cover
• Normalized Difference Vegetation Index used to identify seasonal vegetation patterns
• Synthetic aperture radar imagery assessed for floodwater detection beneath cloud cover
• Multitemporal imagery compared to identify channel migration and inundation extent
• Land-cover classifications checked against field photographs and local knowledge
• Image resolution and acquisition date evaluated before hydrological interpretation

Participants can prepare a safe, targeted field plan for hydrological data collection.

• Reconnaissance routes planned around access, hazards, permissions, and representative locations
• Gauging sections selected for stable controls, safe access, and measurable velocities
• Survey equipment lists prepared for stage, velocity, geometry, and water-quality observations
• Chain-of-custody records established for samples, photographs, and field documentation
• Field forms structured for repeatable observations, coordinates, timestamps, and anomalies
• Risk assessments address swift water, weather, terrain, wildlife, and communications

Participants can survey channel geometry and identify controls affecting flow measurements.

• Cross sections surveyed using stations, offsets, elevations, and defined bank points
• Longitudinal profiles recorded to identify slope breaks, controls, and backwater effects
• Natural controls assessed at riffles, rock outcrops, constrictions, and channel bends
• Artificial controls documented at weirs, culverts, bridges, gates, and outfalls
• Bankfull indicators identified from vegetation lines, deposits, scour, and channel form
• Manning roughness observations recorded for later hydraulic interpretation and modelling

Participants can calculate discharge from field measurements using suitable velocity-area methods.

• Velocity-area discharge measurements planned across representative verticals and channel widths
• Current-meter observations converted into mean vertical velocities using accepted coefficients
• Acoustic Doppler current profiler data reviewed for transect consistency and invalid cells
• Float gauging applied where instruments are unavailable and uncertainty is documented
• Wading, cableway, bridge, and boat measurements selected using site conditions
• Discharge calculations checked through area, velocity, unit conversion, and closure tests

Participants can develop and assess a stage-discharge rating curve for a gauging site.

• Staff gauges, pressure transducers, and dataloggers compared for stage monitoring
• Gauge datum established against stable benchmarks and documented reference levels
• Stage-discharge pairs plotted on arithmetic and logarithmic graph scales
• Rating curves fitted using segmented controls, extrapolation limits, and residual checks
• Shifting controls identified from sediment deposition, vegetation, scour, and debris
• Rating uncertainty communicated through confidence bands, notes, and validation measurements

Participants can prepare rainfall records and design storm inputs for hydrological assessment.

• Rain-gauge records screened for missing values, outliers, timing errors, and duplicates
• Thiessen polygons and inverse-distance weighting used for areal rainfall estimation
• Intensity-duration-frequency curves interpreted for selected return periods and durations
• Design storm hyetographs built using alternating-block and temporal-pattern methods
• Antecedent moisture conditions considered when selecting event-based runoff inputs
• Radar rainfall estimates compared with gauge observations before model application

Participants can analyse streamflow records and extract hydrological response characteristics.

• Hydrographs separated into baseflow and direct runoff using graphical methods
• Peak flow, lag time, runoff volume, and recession constants calculated
• Double-mass curves used to identify rainfall and streamflow record inconsistencies
• Flow-duration curves developed for water-resource and ecological flow assessment
• Seasonal flow patterns examined using monthly statistics and hydrograph comparisons
• Data gaps treated using documented interpolation, correlation, or exclusion decisions

Participants can estimate design flows from observed records using frequency-analysis methods.

• Annual maximum and peaks-over-threshold series selected for flood-frequency analysis
• Gumbel and Log-Pearson Type III distributions fitted to peak-flow records
• Return periods interpreted without confusing probability, recurrence, and event timing
• Plotting positions used to compare observed peaks with fitted distributions
• Short-record limitations assessed using regional evidence, uncertainty, and sensitivity tests
• Design discharges documented with record length, assumptions, and confidence ranges

Participants can build a basic rainfall-runoff model and interpret simulated hydrographs.

• Model structure defined through subcatchments, reaches, losses, transforms, and routing
• SCS Curve Number method applied using soils, land cover, and antecedent conditions
• Unit hydrograph parameters estimated from catchment area, slope, and travel time
• Muskingum routing used to represent attenuation through river reaches
• Calibration compares simulated and observed hydrographs using peak, volume, and timing
• Sensitivity analysis identifies parameters that materially affect design-flow estimates

Participants can assess runoff and drainage performance in developed catchments.

• Rational Method peak flows estimated from intensity, area, and runoff coefficient
• Imperviousness mapped from imagery, parcel data, roads, and roof footprints
• Drainage networks traced through inlets, pipes, culverts, channels, and outfalls
• Time of concentration estimated using overland, gutter, pipe, and channel segments
• Stormwater storage assessed through ponds, basins, wetlands, and detention structures
• Blockage and surcharge risks identified from field observations and drainage connectivity

Participants can assess groundwater indicators and their relationship to surface-water flow.

• Groundwater conceptual models distinguish recharge, storage, discharge, and abstraction zones
• Piezometric levels mapped to infer hydraulic gradients and groundwater flow directions
• Spring inventories record location, discharge, seasonality, geology, and water uses
• Baseflow index estimated from streamflow records using separation techniques
• Well logs interpreted for aquifer materials, screened intervals, and static water levels
• Surface-water groundwater interactions assessed near wetlands, rivers, and abstractions

Participants can integrate sediment and water-quality observations into hydrological assessments.

• Suspended sediment sampling planned around storm events, baseflow, and seasonal conditions
• Turbidity, conductivity, pH, temperature, and dissolved oxygen measured with field meters
• Erosion sources identified from bank failures, gullies, construction sites, and roads
• Sediment deposition mapped at channel bends, reservoirs, culverts, and floodplain margins
• Grab samples preserved, labelled, stored, and transferred using documented protocols
• Water-quality results interpreted against project objectives, baseline conditions, and trends

Participants can produce flood-exposure maps from terrain, water-level and asset data.

• Flood extent mapped from surveyed levels, satellite observations, and terrain surfaces
• Hand, terrain, and connectivity checks applied to remove implausible inundation areas
• Buildings, roads, utilities, farmland, and critical facilities intersected with flood zones
• Depth grids classified into meaningful bands for damage and access assessment
• Evacuation routes evaluated against crossing points, low spots, and inundation timing
• Flood maps annotated with datum, scenario, assumptions, limitations, and source dates

Participants can evaluate uncertainty and apply quality controls throughout a hydrological study.

• Measurement uncertainty estimated for stage, velocity, area, rainfall, and elevation data
• Error propagation applied to discharge calculations and derived hydrological variables
• Quality assurance plans define checks, approvals, corrections, and version control
• Field-data validation compares duplicate readings, photographs, logs, and expected ranges
• Model assumptions recorded in an auditable register with evidence and limitations
• Spatial data governance addresses naming conventions, metadata, backups, and access permissions

Participants can prepare clear technical outputs that support engineering and planning decisions.

• Report structures distinguish methods, results, interpretation, limitations, and recommendations
• Catchment maps designed with legible symbology, scale bars, north arrows, and sources
• Tables present gauging results, rainfall inputs, model parameters, and design flows
• Assumptions and uncertainty stated plainly without overstating confidence in results
• Technical findings translated into implications for design, operations, and risk controls
• Peer review checks traceability from raw observations to final conclusions

Participants can build, review and present a complete hydrological survey and assessment for a defined project site.

• Project brief translated into survey objectives, decisions, constraints, and acceptance criteria
• Catchment model assembled from terrain, hydrography, land cover, and field evidence
• Survey plan specifies sites, methods, equipment, safety controls, and quality checks
• Rainfall, discharge, and stage datasets analysed for design-flow and flood assessment
• Flood exposure outputs linked to infrastructure, communities, access routes, and assets
• Technical report and map pack presented for peer review and decision feedback