INTERA Incorporated

INTERA Incorporated

Hydrology & Hydrodynamic Modeling Services



INTERA has solved many water resource problems for clients throughout the southern and western U.S. that include municipal water suppliers, state and federal agencies, and industry. Our services focus on providing predictions of the future hydrologic-system conditions needed to make sound decisions regarding water resource management using state-of-the-art data acquisition and modeling technology.

Through our experienced modeling staff and computer and software resources, INTERA develops, calibrates, and applies complex hydrology and hydrodynamic (H&H) models to address specific client needs. We tailor each modeling approach taking into consideration the spatial and time frames the model system intends to address, the degree of detail needed in model results, data requirements, and time/funding constraints.

Flood protection modeling is generally approached with event-based methodologies (e.g., MIKE-11, HEC-RAS, UNET, HEC-HMS, AdICPR, and SWMM). Except for sheet flow and estuarine circulation, channel and riverine hydraulics are typically best simulated with one-dimensional dynamic models capable of complex channel networks (e.g., SWMM, HEC-RAS 3.0, AdICPR, MIKE-11, and CHAN). For certain cases, steady-state HEC-RAS may be appropriate. We also routinely apply the WASP, EFDC, CE QUAL W2 and HydQual models for limnology studies to assess surface water quality in lakes and reservoirs.

Integrated surface water/groundwater models (e.g., MODBASINTM, FHM, ISGW, WASH, RSM, WASH123D, and MIKE-SHE) enable our engineers and hydrologists to evaluate detailed questions concerning water resource management (e.g., effects of land use change upon stormwater management, and impacts of aquifer pumping on stream flow) since they include a more robust treatment of evapotranspiration (ET) that incorporates both surface water and groundwater, baseflow, and soil moisture.

Data assimilation and model selection

  • data acquisition and database construction 
  • ArcGIS analysis of input parameters (land use, precipitation, ET, pervious/impervious cover, stream routing) 
  • model selection based on project objectives, conceptual model, and client budget and schedule

Statistical modeling of hydrologic data

  • data reconstruction (filling data gaps) 
  • time series analysis 
  • spatial statistics (geostatistics) 
  • explanatory statistical model development 
  • artificial neural network model development

Hydrologic modeling

  • watershed water budget analysis 
  • stream-aquifer interaction 
  • land-use impacts on stream flow 
  • evaluation of water supply alternatives

Hydrodynamic modeling

  • stream/river flows and stage levels 
  • surface water quality modeling (salinity, temperature, nutrients, TMDLs) 
  • stormwater management/flood protection studies 
  • surface water reservoir flows and loads (DO, TOC, nutrient loading)

Uncertainty analysis

  • H&H model input-parameter uncertainty characterization 
  • uncertainty propagation using Monte Carlo, FOSM or PEM techniques 
  • data mining to assess parameter importance 
  • H&H model output confidence analysis

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