INTEGRATED SCIENCE AND WATERSHED MANAGEMENT SYSTEM (ISWMS™)

Introduction
 
Development of sophisticated flood forecasting and early warning systems is both a critical element and significant computational challenge for managers of water resource systems across the globe. Effective systems combine numerous complex modeling tools, e.g., climate forecast models, hydrologic models, hydraulic models and geo-visual inundation models, to ultimately produce “timely visual forecasts” of water levels flood and inundation extents (with subsequent warning triggers). Such systems (typically) are computationally very expensive.
 
Moreover, modelled flood forecasts can have significant uncertainties, due to the underlying uncertainties associated with climate forecasts. Hence, it is imperative that flood forecasting systems be coupled with sophisticated machine learning algorithms and high performance computing infrastructures to: 1) quantify uncertainties associated with flood forecasts (and primarily due to underlying climate forecast uncertainties); and, 2) minimize run-time of the computationally expensive models embedded within the forecasting system.
 

ISWMS Pilot Watersheds Demonstration:


Latest Evolution (Year 2020 and Beyond)

ISWMS™ (Version ‘2’) is a fully functional web-based / open source GIS system for forecasting and visualizing flood extents in watersheds anywhere in Canada. ISWMS™ (v.2) automatically gathers Environment Canada open climate forecast databases (deterministic) and feeds them into sophisticated and computationally demanding hydrologic and hydraulic models to develop deterministic forecasts of water levels and inundation.
 
ISWMS™ (v.2) is deployed on a cloud (but is executed in serial-mode) and runs periodically (within hours) to develop flood forecasts for interactive web-based visualization and flood mitigation decision support. Also, given the Platform’s integration with HEC-HMS (hydrologic) and HEC-RAS (hydraulic) analytical models, ISWMS™ (v.2) has these unique attributes to:
 

  • Reduce flood damage risk and citizen health susceptibility from any river flood event and provide residents timely notifications / locations of at-risk areas from river flood events;
  • Empower municipalities and agencies to better manage flood mitigation and emergency access services and to reduce (or eliminate) their reliance on another organization that does use advanced river basin tools;
  • Enable municipalities to undertake (any time) proactive “What If” flood impact and mitigation scenarios and using available regional climate change models; and,
  • Enable municipalities to use the generated data for the basis of “defendable” land-use planning policies (resulting in climate-resilient growth & development) and for use by Insurance Industry partners too.


In January 2020, and part-of a multi-year software collaboration, GREENLAND® and University of Guelph (Canada), began the development of the next IoT Platform version of ISWMS™.
 
This research intends to develop a modeling extension that will allow ISWMS™ (v.2) to: 1) run efficiently on parallel compute clusters; and, 2) incorporate uncertainties associated with climate forecasts into flood extent forecasts of ISWMS™. This ISWMS™ Version ‘3’ is also referred to as “ISWMS™ - Smart”. Our team has also successfully leveraged parallel computing (via a prior project for CANWET™ and with deployment on a Cloud Analytics Platform) in developing an efficient web-based platform for calibration of hydrologic models. Our team intends to build upon this niche expertise and knowledge attained in the past software collaborations and to develop the first ISWMS™ - Smart prototype in 2020.
 
ISWMS™ - Smart will quantify any uncertainties in ISWMS™ (v.2) flood forecasts originating from the uncertainties inherent in the climate forecasts, by enabling ISWMS™ to run in parallel for different climate forecast scenarios. Therefore, a critical need for successful development of ISWMS™ - Smart is the development and testing of a parallel programming infrastructure for ISWMS™ to improve its efficiency. Consequently, the research pertaining to development of ISWMS™ - Smart requires continuous access to compute clusters designated for developing innovating computing solutions to complex problems. Moreover, ISWMS™ - Smart will include AI-based (machine learning) algorithms designed to optimize the use of computing resources during parallel runs of any ISWMS™ - Smart hydrologic and hydraulic models. Hence, secure (continuous) access to advanced computing resources will also be implemented to confirm the effectiveness of the new algorithms. This will also be key for future contractual partnerships too.
 


©


Spatial-temporal resolution and complexity of earth data and human-environment interactions is continuously increasing, and demanding an improvement in complexity and efficiency of flood forecasting decision support systems. ISWMS™ - Smart will significantly improve the capability (by quantifying forecast uncertainty) and efficiency (via parallelization) of ISWMS™, allow the ISWMS™ decision support system to run on large watersheds, and consequently increase the applicability of the platform for new clients. Moreover, the computational efficiency of ISWMS™ - Smart also intends to reduce operational costs (of cloud computing services). Therefore, this next evolution of ISWMS™ will also be a “disruptive market advantage” for GREENLAND®.


ISWMS™: Background (2000 - 2019)

In 2000, the first Integrated Science and Watershed Management System (ISWMS) tool was completed by GREENLAND® as a windows-based ‘SWMM and OTTHYMO’ – based decision support system for urban land stormwater management; hydrological (continuous rainfall and design storm events) modelling; and, Canadian flood forecasting capabilities.

In 2003, GREENLAND® was retained to develop ISWMS™ (Version ‘1’) as a flood forecasting system for the 3,360km² Nottawasaga River Basin, located north of Toronto (Canada). It was then used for many years thereafter to prepare Subwatershed Management Plans in Ontario. In 2006, GREENLAND® began working on the next ISWMS™ (v.1) phases, including an open source GIS operational platform that was developed for a daily water balance, nutrient and sediment loading tool (CANWET™).

In 2010, the ISWMS™ program added new technical support partners affiliated with Canadian and U.S. universities. These independent scientists would later on assist GREENLAND® as a “science advisory team” for engineering projects that also used the company’s in-house tools.

In 2016, GREENLAND® formed a strategic alliance in Europe with private and public sector teams from Sweden and France and to initiate a new IoT Platform partnership. The initial goal was to develop a cloud-based flood forecasting, flood control and floodplain mapping system (called ISWMS™ - Version ‘2’) for watershed managers and regulatory agencies. The first collaboration was completed in 2019 and where the new web-based tool is being used now in Canada to identify real-time solutions that can minimize mixed rural & urban watershed flood damages and help prevent loss of life from flood disasters. This platform was also developed for use anywhere else in the world. It includes an early warning flood forecasting system that requires powerful visualization connected to the latest (public domain) versions of HEC-HMS and HEC-RAS that are developed /maintained by the U.S. Army Corps of Engineers.


©

Development of the ISWMS™ Platform relied on other proprietary GREENLAND® hydrology and stormwater management modelling tools. The GREENLAND® (Canada-Europe) team consulted also with property-casualty insurers in order to develop an open/transparent system framework that could also address climate impact concerns. Other Canada-based partners included the County of Simcoe (Ontario); University of Guelph; Communitech Corporation; First Nations; and, University of Waterloo Interdisciplinary Centre on Climate Change (IC3) and Partners for Action (P4A) network. Finally, the U.S. software engineering firm ‘Civil-GEO’ was consulted on the project too. In late 2019, the GREENLAND® team (and also with the University of Guelph) secured new leverage funding to continue the ISWMS™ IoT Platform development program. In the meantime, GREENLAND® continues to use ISWMS™ (v.2) as a free licensed asset for its consulting client contracts (private and public sectors), and for new collaborations supported by Canada’s National Flood Damage Reduction Program, as well as future Smart Cities & Climate Change Adaptation - Protection Programs.
 


©


Social Media

 
LinkedIn  
YouTube

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
 

Muskoka Watershed Council

The Muskoka Watershed Council’s mission is to champion watershed health in those watersheds that flow into and through the District Municipality of Muskoka. There is no conservation authority in Muskoka, instead the Council is a volunteer-based organization supported by the District of Muskoka, local consulting firms, and local Ministry of Natural Resources and Forestry and Ministry of the Environment and Climate Change offices.

The Muskoka Watershed Council is currently undertaking a project to understand the potential impact of climate change in Muskoka to the year 2050. In working with our municipal partners, decision support tools such as Greenland’s new CANWET-5 model could be useful in informing our watershed management planning decisions in relation to policy development, stewardship priorities and education and communication programs. 

Peter Sale
Chair
Muskoka Watershed Council

November 17, 2014
 

Lake Simcoe Region Conservation Authority

The Authority’s mission is to provide leadership in the restoration and protection of the environmental health and quality of Lake Simcoe and its watershed with our community, municipal and other government partners. As a resource management agency, we rely on decision support tools such as Greenland’s CANWET model. It continues to play a key role in informing our watershed management planning decisions in relation to policy development, stewardship priorities and education and communication programs.

As always, I look forward to our continued working relationship with you and your colleagues. The Authority appreciates your hard work, and we are confident that this study will prove beneficial in our collaborative goal to improve the health of the Lake Simcoe watershed.

Michael Walters
Chief Administrative Officer
Lake Simcoe Region Conservation Authority

November 4, 2014
 

Corporate Partnerships

Partnerships and Accreditations