Water Quality Analysis

Network models serve as valuable tools for estimating various performance measures related to water quality within a network. Simulations in these models are typically conducted over extended time periods and with reduced tolerances to ensure accurate predictions of key factors such as the age of water, time of travel, source-works composition, conservative substance tracing, and even the decay of non-conservative substances. This comprehensive approach allows for a detailed analysis of water quality dynamics, enabling water utilities to make informed decisions and implement effective strategies for maintaining and enhancing water quality standards within their networks.

Nevertheless, numerous models are not initially designed for such simulations, necessitating the creation of dynamic model controls, water source identification, inputs for initial water age, and defining reservoir mixing characteristics. The preparation of a hydraulic model for this specific type of modelling simulation often demands considerable time and effort. This can pose challenges in delivering a prompt and reactive incident response within an acceptable timeline, as the intricate nature of model adjustments may require thorough consideration and meticulous preparation.

Addressing these challenges often involves refining your model build specification to ensure its suitability for the intended purpose. Failing that, it may become necessary to undertake a series of retrospective updates to align the model with its intended objectives. This proactive approach ensures the accuracy and effectiveness of your models, allowing them to meet their designated purposes and contribute meaningfully to your water network management goals.

HydroCo has formulated a robust process for auditing your model library, assessing its appropriateness for Water Quality modelling applications. Our expertise allows us to offer valuable insights into the implications of adjusting model simulation tolerances on result accuracy. We provide guidance to streamline the delivery of results, especially in time-sensitive incidents. Additionally, we offer training sessions for operational modellers, equipping them with the latest advancements in SQL tools and simulation result themes to enhance their ability to interpret results effectively. With our comprehensive approach, we aim to optimize your model library for efficient and accurate Water Quality modelling.

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