Real-Time Stormwater, Wastewater and Watershed Modeling




click to enlargeRedrawing the boundaries of collection system modeling, SWMMLive arms wastewater utilities with real-time operational forecasting and management of their urban drainage systems. It provides them timely, accurate and reliable forecasts of what will happen within a catchment, based on past and current observations of a multitude of parameters along with future rainfall predictions. It also helps them identify flood-vulnerable assets and formulate sound remediation/mitigation strategies.

Advances in computer simulation and hardware have made real-time operation of stormwater, wastewater and combined systems a reality. SWMMLive combines the comprehensive urban drainage modeling capabilities of InfoSWMM and InfoSWMM SA with sophisticated real-time operational forecasting, early warning, and emergency management. It allows both large and small utilities to manage their collection systems more efficiently and effectively than ever before. This powerful risk assessment and real-time decision making tool enables managers and operators to consider the influence of a full range of catchment factors in three key areas: management of flooding and reduction of unregulated discharges; optimization of storage, green alternatives and existing infrastructure, leading to savings on capital works; and optimization of pumps to lower energy costs and reduce CO2 emissions.

SWMMLive is designed to help wastewater utilities worldwide harness the power of real-time data, scenario planning, and predictive modeling to transform the operation and management of their collection systems and anticipate and mitigate the effects of extreme weather-related events. It is the ultimate decision support system for operating and sustaining safe, reliable and efficient infrastructures while effectively protecting public health and our waterways.

SWMMLive can directly import any InfoSWMM or InfoSWMM SA project and is designed to work automatically. Once a system is configured, real-time data is continually and automatically harvested and quality checked. This data can be defined by a number of parameters, including observed and forecasted radar rainfall, online water quality measurements, and ancillary structure and pump operation time series. Simulations are carried out automatically at a user-defined frequency using the full hydrodynamic and functional capabilities of InfoSWMM and InfoSWMM SA, including water quality assessment, pollution prediction, urban flooding, green LID and BMP alternatives, and real-time control. Simulation frequency can change in response to user-defined conditions. For example, increased rainfall intensity can trigger a reduction in the interval between simulations.

Warnings or alerts triggered during the forecast period are instantly displayed via the rich SWMMLive user interface, allowing system operators to see at a glance which areas need attention and what actionable options might be taken. Comparison alerts can be used to highlight differences between observed and modeled results, enabling users to refine their models — creating unprecedented confidence in simulation results.

SWMMLive also allows operators to perform additional simulations that explore alternative real time control scenarios — such as the impact of switching on a pump earlier than planned — and quickly see the effect of these changes on the system. The wide range of capabilities in SWMMLive allow it to be used as a key tool in the decision making process, enabling operators to take action to avoid system issues, release timely alerts, and quickly deploy response teams if necessary.

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Discover some of the many benefits of SWMMLive:

  • Forecasting of system states
    • Real-time model and telemetry data
    • Early identification of maintenance issues
    • Improve understanding of network operation
    • Reduce flood damages
    • Reduce risk to public, staff & contractors
    • Reduce numbers of CSO spills
  • Operational management
    • Schedule pump and gate operation
    • Evaluate different control strategies
    • Maximize the use of system storage
    • Reduce energy costs
    • Carry out continuous simulations
    • Provide continuous evaluation of existing and proposed systems using real-world inputs


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