INTEGRATED SCIENCE AND WATERSHED MANAGEMENT SYSTEM (ISWMS™)

Real-time, probabilistic flood and low-flow intelligence forecasting and mapping designed for operational decision-making at scale.

Unlike conventional hydraulic modeling workflows, ISWMS™ combines ML-based probabilistic forecasting with rapid mapping, reducing time-to-insight from weeks to hours.

  • Operational forecasts with uncertainty: supports real-time situational awareness and planning (including multi-scenario climate inputs where applicable).
  • Fast, actionable mapping outputs: translates flow forecasts and design flows into flood risk intelligence that can be communicated visually.
  • Built for complex engineering applications: supports infrastructure owners, emergency management, and resource/industrial operators.


Trusted since 1999 — Supporting operations for municipalities, conservation authorities, emergency management programs, and resource sector clients across Canada.

What ISWMS™ delivers

Modern watershed management requires forecasts that are not only timely, but also transparent about uncertainty and easy to act on. ISWMS™ integrates forecasting, hydrologic context, and mapping-oriented outputs to support decisions across flood response, drought/low-flow operations, and long-term planning.

Capabilities:
 
  • Probabilistic flow forecasts — localized, uncertainty-aware predictions
  • Flood and low-flow decision support — real-time operational view
  • Flood-frequency analysis (FFA) — return-period design flow context
  • Map-ready risk intelligence — web-ready visuals and decision outputs


Current platform capabilities



ISWMS™ v3 (Operational) — Machine-learning flow forecasting + FFA
 
  • Incorporates a Temporal Fusion Transformer (TFT)-based machine-learning model to generate hydrometric flow forecasts across North America.
  • Trained on an extensive archive of flow measurements from thousands of gauging stations, integrating:
    • real-time hydrometric observations
    • climate inputs
    • catchment characteristics
  • Produces localized probabilistic flow predictions to support operational decisions.
  • Includes Flood-Frequency Analysis (FFA) functionality to derive return-period basin flows, enabling both real-time forecasting and long-term hydrologic design context. 

See ISWMS™ v3 video (with audio)

ISWMS™ v5 (Prototype / Pilot) — Rapid hydraulic flood mapping with LiDAR-informed modeling
 
  • Addresses a common gap: many regions lack up-to-date, decision-ready flood maps due to the cost and time required for conventional hydraulic modeling.
  • Adds a computationally efficient hydraulic flood mapping approach designed to translate forecasted/design flows into inundation extents that can be rendered in web-based map products.
  • Evaluated using a LiDAR-based open-source mapping database and assessed against a calibrated, validated, professionally sealed hydraulic model for a real river system context.


Validation and quality assurance



Validation highlights:
 
  • Where validated: Mattagami River system / City of Timmins, Ontario
  • Compared against: Calibrated, validated HEC-RAS 1D model sealed by a professional engineer
  • Events tested: 25-, 50-, and 100-year return period floods; Timmins Storm (regulatory) flood event
  • How evaluated: Flood extent comparison using 9 statistical performance measures
What this means for users: Confidence-aware outputs and decision support—not just a single deterministic line.

Limitation acknowledgment: Forecast skill varies by basin data availability and climate input quality. ISWMS™ outputs are decision-support tools and do not replace site-specific engineering assessments where required.





Applications

Resource and industrial operators (mining, oil sands, etc.)
  • Operational risk management for flood/erosion susceptibility affecting facilities, access routes, and site infrastructure.
Utilities + hydropower
  • Flow prediction for operational planning, asset protection, and optimization of hydropower operations.
Emergency management + public safety
  • Flood early warning and operational response support for vulnerable communities, including flood-prone settlements and remote regions.
Infrastructure owners and corridors
  • Risk intelligence for:
    • Wastewater treatment plants impacted by floodplains (including CSO storage/overflow contexts).
    • Road/bridge crossings and culverts supporting asset management programs.
    • Transportation corridors susceptible to flash flooding.
    • Pipeline/telecommunications crossings affected by erosion and extreme flows.
Consulting and planning
  • Support for environmental assessment planning and design for corridors and facilities; technical inputs that support stakeholder engagement contexts where required.


Deployment and governance
 
  • Designed to support operational usage with monitoring and controlled access.
  • Supports defensible workflows by documenting inputs, assumptions, and uncertainty.


To explore how ISWMS™ supports operational flood and low-flow decision support, contact us or request a demonstration.
 

Updated: January 7, 2026
Greenland International Consulting Ltd.



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Client Testimonials

Town of Collingwood

I would like to recognize the active involvement of the GREENLAND Ground of Companies in the Town of Collingwood's economic development efforts and dedication to helping advance the Town's vision of being a specialized technology hub. Their extensive knowledge of the water technology and land development industries, coupled with their desire to help propel Collingwood forward as a regional economic leader, are very much appreciated. 

The Town is proud to have GREENLAND in the community as they have also been key supporters in facilitating introductions with renowned organizations, such as the University of Guelph, University of Waterloo, WaterTAP, Communitech, Canadian Water Resources Association and Canadian Water Network. These organizations and others will help Collingwood secure new businesses with a recreational and healthy lifestyle focus. GREENLAND is also a passionate supporter of youth networking and knowledge transfer initiatives, providing financial assistance for Collingwood Youth Centre initiatives at www.collingwoodyouthcentre.ca

Fareed Amin
Chief Administrative Officer
The Corporation of the Town of Collingwood

April 9, 2018
 

Six Nations Council

On behalf of the Environment Office of the Six Nations of the Grand River, we would like to thank Greenland International Consulting Limited for the work completed to prepare the Master Drainage and Flood Remediation Plan (MDFRP) for the McKenzie Creek watershed. This plan has now enabled our office to identify the flood prone residences throughout the watershed with the flood plain mapping that has been prepared as part of this assignement. We appreciate the role that Greenland has played in assisting our office in directing Public Works with prioritizing the remedial projects to be completed in the flood prone areas. 

We also appreciate Greenland's effort in assisting the Six Nations of the Grand River with the preparation of funding applications to secure the resources to complete these remedial works. We are convinced that this MDFRP can be used as a template for completing similar drainage and flood remediation works both locally and in other First Nations lands. 

We look forward to working with your company again in the near future on the remaining watersheds that need this important work done. 

Thank you for your ongoing assistance. 

Clynt King 
Environmental Technician 
Six Nations Council Environment Office 

July 25, 2016
 

Canada's Oil Sands Innovation Alliance (COSIA)

Check out this (Greenland) video of THREATS (an open-source cumulative effects assessment tool to help direct environmental management (industrial or other)) and/or planning of future projects. It enables the compiling and juxtaposition of public environmental data (including, but not limited to, wildlife use areas and environmental quality data) with on-site or "targeted" environmental data. For security, the provision to include data protected behind a firewall exists to enable analysis and comparison of potentially sensitive data in the context of other datasets. The goal here is to allow for predictive capability and in turn mitigate potential effects. Equally, this provides a capacity to enable retroactive assessment (investigation of cause) of observed changes. The ability to spatially interpret stressor/pathway/receptor data, and conduct analyses within the tool, while retaining data in its original database (secure) is what is truly unique here. Excited to see what can be achieved with this powerful platform in areas where it has already begun to be used!

Neal Tanna
Advisor, Monitoring and Risk Assessment
Canada’s Oil Sands Innovation Alliance (COSIA)

November 3, 2017
 

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