Friday, November 10, 2023

Establishing QA/QC (Quality Assurance/Quality Control) standards

 QA/QC Modelling Standards for ICM InfoWorks 1D and 2D Stormwater and Flooding Model with Water Quality Modeling

Establishing QA/QC (Quality Assurance/Quality Control) standards is critical for ensuring the accuracy and reliability of an ICM InfoWorks 1D and 2D stormwater and flooding model, especially when it includes water quality modeling. Here's an expanded step-by-step plan with emojis to enhance understanding:

  1. Initial Model Setup Review πŸ› ️: Begin with a comprehensive review of the ICM model setup. This includes verifying the integrity and accuracy of the base data, like digital elevation models (DEM), land use data, and soil classifications. Ensure that all the hydrological and hydraulic settings are appropriate for the specific catchment area being modeled. πŸ—Ί️πŸ“Š

  2. Data Verification ✅: Rigorously check all imported data against source information. This involves verifying GIS data for network elements, confirming flow measurement data's accuracy, and ensuring that water quality parameters like pollutant concentrations are correctly inputted based on field data or standard references. πŸ“πŸ”

  3. Model Calibration 🎚️: Fine-tune the model parameters so that the model's output aligns closely with real-world observations. This might include calibrating for flow rates, water levels, and water quality constituents by adjusting parameters like Manning's n-values, infiltration rates, and pollutant build-up and wash-off parameters. Calibration should be done using historical storm events and observed water quality data. πŸ’§πŸ”„

  4. Review of 1D Components πŸ”: Scrutinize the one-dimensional elements of the model, such as pipes, channels, and network connectivity. Ensure that dimensions, slopes, and roughness coefficients are accurate, and that the network topology correctly represents the physical system. 🚰➡️

  5. Review of 2D Surface Components 🌊: Carefully examine the two-dimensional surface elements. This involves ensuring that the floodplain mapping, overland flow paths, and their interaction with the 1D network elements (like inlets and outlets) are accurately represented. The 2D model should correctly simulate flood extent and depth based on historical or theoretical flood events. πŸ—Ί️🌊

  6. Water Quality Analysis πŸ§ͺ: Conduct a thorough review of the water quality modeling components. Ensure that the processes for pollutant build-up, wash-off, and treatment are correctly represented and that they align with known water quality data and standards. This is crucial for projects where water quality compliance is a key objective. πŸŒΏπŸ’§

  7. Performance Testing under Different Scenarios 🌧️πŸ”₯: Subject the model to a range of scenarios, including average weather conditions, extreme storm events, and varying water quality situations. This step tests the model’s robustness and reliability under varied conditions and helps identify any weaknesses in the model setup. 🌦️πŸŒͺ️

  8. Peer Review and Collaborative Checking πŸ‘₯: Implement a structured peer-review process, where other experienced modelers or external experts critically evaluate the model setup, calibration, and results. This collaborative approach can provide valuable insights and identify potential issues that may not be apparent to the primary modeler. πŸ‘©‍πŸ’»πŸ‘¨‍πŸ’»

  9. Documentation and Reporting πŸ“‹: Meticulously document every aspect of the modeling process, including data sources, model settings, calibration procedures, and any assumptions or limitations. Proper documentation is essential not only for transparency but also for the future reproducibility of the model. πŸ“„✍️

  10. Client/Stakeholder Review 🀝: Engage clients or stakeholders in the review process. Present the model, its findings, and any limitations or uncertainties in a clear and understandable manner. Be open to their input and ready to refine the model as needed based on their feedback. πŸ”„πŸ’¬

  11. Final Adjustments and Validation πŸ”§πŸ‘Œ: Make any necessary final tweaks to the model based on feedback and re-validate to ensure it meets all the established QA/QC standards. This final step ensures that the model is not only technically sound but also meets the end-user requirements. πŸ†—πŸŽ―

  12. Ongoing Monitoring and Updates πŸ”„πŸ“…: Establish a protocol for regular review and updates of the model. As environmental conditions, land use, and climate patterns change, the model should be updated to reflect these changes, ensuring its continued accuracy and relevance. 🌍⏲️

By adhering to these comprehensive QA/QC modeling standards, the accuracy, reliability, and utility of the ICM InfoWorks 1D and 2D stormwater and flooding model, along with its water quality modeling capabilities, can be assured. This thorough process is key to building a model that not only meets current needs but is also robust and adaptable for future

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