Our Services

INFRAMAN’s engineers have unique skill sets on hydraulic modeling (water supply, sewer, and stormwater drainage), water loss & efficiency management and water quality modeling and monitoring. Key areas of our service include, but not limited:

Water Efficiency

Water loss and efficiency management is the key strength of INFRAMAN... Read more →

Hydraulic Modeling

We provide services for model development from scratch to any stage... Read more →

Asset Management

We can help to get answers for the key Asset Management questions... Read more →

Water Quality

Whether Chlorine or Chloramine is your disinfectant, we can help... Read more →

Utility Analytics

INFRAMAN can discover hidden treasures in your big data problem...Read more →

Training HQP

We offer trainings on water infrastructure related topics... Read more →


Water Efficiency Management






We have unique strength in Water Loss and Efficiency Management ...

INFRAMAN provides consulting services and solutions for various aspects of water loss and efficiency management including water auditing, pressure management, night flow analysis and modeling of economic level of leakage. Key components of our Water Loss and Efficiency Management (LEM) program are:
  • IWA/AWWA Water Audit
  • Night Flow Analysis
  • Economic Level of Leakage
  • Repair and Field Support.
  • Pressure Management
  • Key Performance Indicators
  • System Design & Evaluation

Water Loss and Efficiency Management Tools:

INFRAMAN has developed various tools and techniques for water loss & efficiency management which can be customized for the needs and requirements of any water utilities. Innovative tools for water loss and efficiency management:
  • InfraSense: Sensor Interfaces developed by INFRAMAN
  • InfraNight: Night Flow Analysis tool developed by INFRAMAN
  • InfraNight: Night Flow Analysis tool developed by INFRAMAN
  • InfraPrem: Pressure Management tool developed by INFRAMAN
  • InfraKPI: Key Performance Indicator tool developed by INFRAMAN
  • WaterAudit: Water Auditing tool developed by AWWA





Hydraulic Modeling




INFRAMAN can develop unique model management plan which will be only designed for your requirements

INFRAMAN provides engineering and modeling services and solutions for Water Distribution System (WDS), Wastewater Collection System (WCS), and Stormwater Drainage System (SDS).Key components of Modeling (WDS, WCS, SDS):
  • Model development
  • Model audit (in case of existing model)
  • Model calibration
  • Model verification
  • Scenarios analysis
  • Design & Analysis
  • New WDS, WCS or SDS design
  • Performance evaluation
  • Sewer flooding control
  • Combined sewer overflow design
  • Sewer pumping station capacity evaluation

INFRAMAN Engineers have fine-tuned methodology for water and wastewater model calibration using parameter estimation software PEST.

INFRAMAN engineers are always dedicated for the best possible solutions for our clients. INFRAMAN Engineers implemented GA-based and Gauss-Marquardt-Levenberg (GML) based optimization techniques for numerous optimization and calibration assignments.





Assets Management



INFRAMAN can help you to get answers for the key Infrastructure Management questions:

  • What do you have?
  • What is it worth?
  • What is its condition/remaining service life?
  • What is the expected level of service?
  • What is the cost and acceptable level of risk?
  • When do you need it?
  • How do you ensure long-term affordability?
  • Which assets require renewal, replace or upgrade?

INFRAMAN has developed a risk-based tool for condition assessment of your water sewer and drainage assets which can help to better plan for your Infrastructure renewal, replace and upgrade. This excel based tool is integrated with ArcGIS which helps to understand your asset condition better.

Key Features:

  • Performance/condition assessment
  • Remaining service life prediction
  • Life cycle cost analysis
  • Consequence and sensitivity analysis
  • Risk analysis and management








Utility Analytics



INFRAMAN has expertise in dealing with large volume of data using Hadoop, Spark and Storm based technologies. INFRAMAN can dig deep into water data and discover the hidden treasures in your big data problems. INFRAMAN's Hadoop based framework is only designed for understanding water data

High-quality-low-cost sensing technology enabling civil engineers collecting huge amount data. INFRAMAN can help you to use this huge volume of data in a smarter and meaningful ways

Key Features:

  • Predicting water demand
  • Detecting leakage and brakage in the distribution system in real-time
  • Predicting water quality in real-time
  • Identifying most probable reasons of Water Quality Failure
  • Predicting and reporting KPIs in real-time








Training and HQP Support



INFRAMAN provides hands-on training on various topics hydraulic modeling (water, sewer and drainage), water quality modeling and water loss & efficiency management. Inframan trainings can be customized based on your needs and availability. Training programs can offered both on-site and off-site based on your requirements.

  • Water Loss and Efficiency Management (3 days)
  • Modeling Water Distribution Systems ( 3 days professional level and 5 days expert level
  • Water Quality Modeling in Distribution System (2 days professional level and 3 days expert level)
  • Hydraulic Modeling (Sewer and Storm Water Collection System) (2 days each professional level)

Key Features:

  • Can provide tailored training based on your current needs and requirements
  • Professional and/ or Expert level contents or topic specifics
  • Conducted by Professional Engineers (P. Eng.) and MIT alumni
  • Comprehensive training materials
  • Hand on practices








Water Quality

Whether Chlorine or Chloramine is your secondary disinfectant, INFRAMAN can help you to evaluate system-wise water quality performance.


Sensing and Alerting Water Quality in real-time

Inframan has developed cloud based solution and local based solution for sensing and visualizing your data in real-time.

Read more →

Water Quality Modeling in Distribution System

INFRAMAN has developed Gauss-Marquardt-Levenberg Algorithm (GMLA) based model calibration and performance evaluation algorithms which provides guaranteed better performance than any other algorithm. INFRAMAN solution always compares GMLA based solution against GA based solution

Read more →

Performance Function of WTP

INFRAMAN has developed an innovative tool which have following functions: Evaluate performance functions (PFs) of WT units in real time Assess quantitative microbial risk Perform basic statistical analysis Provide graphical results in a dashboard Manual and automatic calculation options

Read more →












Water Network Solution: iWNS



INFRAMAN Water Network Solution (iWNS) is an integrated solution of seven interconnecting suites for Water Distribution System Operation and Management

Key Features:


  • Real-time Data Suite (iRDS)
  • Leakage Management Suite (iLMS)
  • Leakage Detection Suite (iLDS)
  • Hydraulic Modeling Suite (iHMS)
  • Quality Modeling Suite (iQMS)
  • Asset Management Suite (iAMS)
  • Reliability & Resilience Suite (iRRS)







List of Publications

Journal (In Preparation)

[17] Islam, M.S., Whittle, A. J., Karney, B. W. (2017), Resilience of Water Distribution System under Uncertainties, Will be submitted to the Urban Water Journal

[16] Islam, M.S., Whittle, A. J., (2017), Big Data Analytics in Water Supply System Management: A Generic Application Framework, Will be submitted to the ASCE journal of Computing in Civil Engineering.

[15] Islam, M.S., Whittle, A. J., (2017), Chloramines in a Large Water Distribution System, Will be submitted to the journal of Water Research.


Journal (Published/ Accepted)


[14] Islam, M. S., Sadiq, R., Rodriguez, M. J., Najjaran, H., & Hoorfar, M. (2016). Integrated Decision Support System for Prognostic and Diagnostic Analyses of Water Distribution System Failures. Water Resources Management, 30(8), 2831–2850. doi:10.1007/s11269-016-1326-6

[13] Islam, M. S., (2016). Comparative Evaluation of Vacuum Sewer and Gravity Sewer Systems, International Journal of Systems Assurance Engineering and Management (IJSA), Doi: 10.1007/s13198-016-0518-z (Accepted)

[12] Islam, M.S., Sadiq, R., Rodriguez, M.J., Najjaran, H., Hoorfar, M., (2014), Reliability Assessment for Water Supply Systems under Uncertainties, ASCE Journal of Water Resource, Planning and Management, 140(4), 468–479.

[11]Islam, M. S., Babel, M. S., (2013), Economic Analysis of Leakage of Bangkok Water Distribution System, ASCE Journal of Water Resource, Planning and Management, 139(6), 209-216.

[10]Islam, M. S., Sadiq, R., Rodriguez, M. J., Najjaran, H., Francisque, A., & Hoorfar, M. (2013). Evaluating Water Quality Failure Potential in Water Distribution Systems: A Fuzzy-TOPSIS-OWA-based Methodology. Water Resources Management, 27(7), 2195–2216.

[9] Zargar, A., Dyck, R., Islam, M.S., Mohapatra, A., Sadiq, R., (2014), Data Fusion Methods for Human Health Risk Assessment: Review and Application, the Journal of Human and Ecological Risk Assessment: An International Journal, 20(3), 807-838.

[8] Zhang, K, Zargar, A., Achari, G., Islam, M.S., Sadiq, R., (2014), Application of Decision Support Systems in Water Management, Journal of Environmental Review (In press), available online:  http://www.nrcresearchpress.com/doi/abs/10.1139/er-2013-0034

[7] Islam, M.S., Sadiq, R., Rodriguez, M.J., Najjaran, H., Hoorfar, M., (2013), Water Distribution System Failure: A Forensic Analysis Framework, Accepted for publication to the Journal of Environment, Systems and Decisions (In Press), and Available: http://link.springer.com/article/10.1007%2Fs10669-013-9464-3

[6] Dyck, R., Islam, M.S., Zargar, A., Mohapatra, A., Sadiq, R., (2013), Application of data fusion in human health risk assessment for hydrocarbon mixtures on Contaminated sites, Toxicology journal, 313(2-3), 160-73

[5] Islam, M.S., Zargar, A., Dyck, R., Mohapatra, A., Sadiq, R., (2012), Data Fusion-based Risk Assessment Framework: An Example of Benzene, International Journal of Systems Assurance Engineering and Management, 3 (4), 267-283

[4] Islam, M.S., Sadiq, R., Rodriguez, M.J., Francisque, A., Najjaran, H., Hoorfar, M.,(2011), Leakage Detection and Location in Water Distribution System using a Fuzzy-Based Methodology, Urban Water Journal, 9(6), 351-365, (In top 10 most read papers since 2011)

[3] Islam, M.S., Sadiq, R., Rodriguez, M.J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M., (2012), Evaluating Leakage Potential in Water Distribution Systems: A Fuzzy-Based Methodology, Journal of Water Supply: Research and Technology – AQUA, 61(4), 240–252.

[2] Babel, M. S., Islam, M. S. and Das Gupta, A., (2009), Leakage Management in a Low-Pressure Water Distribution Network of Bangkok, Water Science & Technology: Water Supply—WSTWS, 9 (2), 141–147.

[1] Islam, M. S, Pal, S. K.,  and Babel, M.S. (2007), Artificial Neural Network for Pressure Management and new Leak Detection-A Cost effective Approach, CUET Journal of Civil  and Earthquake Engineering,  1, 100-107, ISSN: 1996-9066.

 

Book Chapter


[1] Babel, M. S., Islam M. S. and A. A. Rivas (2010). Application of Hydraulic Modelling for Leakage Management in the Bangkok Water Supply System- A Case Study, In Price, R.K. and Z. Vojinovic (2010). Urban Hydroinformatics: Data, Models and Decision Support for Integrated Urban Water Management, IWA Publishing, December, 2010.

Professional Magazine

[1] Islam, M. S, Achari, G., Islam, M.S., Sadiq, R., (2014). Potential Impacts of Hydraulic Fracturing on water and environment, CSCE Canadian Civil Engineers, May 2014

Conference Publications

[8] Islam, M.S., Sadiq, R., Rodriguez, M. J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M., (2012), Water Distribution System Failure: A Forensic Analysis. Presentation at the Underground Infrastructure Research (UIR) International Conference and Road Show, Niagara Falls, Ontario, June 5-6.

[7] Islam, M.S., (2012) Economic Level of Leakage: A Cost Effective Leakage Management Tool, BCWWA Annual Conference and Tradeshow, Penticton, BC, 21-15 April, 2012

[6] Islam, M.S., Sadiq, R., Rodriguez, M. J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M., (2011a), Leakage Forensic Analysis for Water Distribution Systems: A Fuzzy-Based Methodology. Proceedings of the 20th Canadian Hydrotechnical CSCE Conference, Ottawa, Ontario, Canada, June 14-17, 2011.

[5] Babel, M. S., Islam, M. S. And A. Das Gupta (2007). Leakage Analysis and Management in a Low Pressure Water Distribution Network of Bangkok, Proceedings of 2nd IWA – ASPIRE, Conference and Exhibition (CD-ROM), Perth, Australia, 29-31 October.

[4] Islam, M. S., Babel, M. S. and Liong S.Y., (2006), Cost Effective Applications of Artificial Neural Network for Pressure Management and New Leak Detection.  Proceedings of 7th International Conference on Hydroinformatics, HIC2006, held at Nice, France, 4-8 September 2006, Volume III, pp 2016-2023.

[3] Islam, M. S., Babel, M. S. and Gupta, A. D., (2006), Application of EPANET Hydraulic Model for Leakage Reduction in Bangkok Water Distribution Network. Proceedings of 7th International Conference on Hydroinformatics, HIC2006, held at Nice, France, 4-8 September 2006, Volume IV, pp 2789-2796.

[2] Islam, M. S., Babel, M. S. and Gupta, A. D., (2005), Economic Analysis of Leakage in the Water Distribution Network of Bangkok. CD-ROM proceeding, 12th IWRA World Water Congress, 22-25 November 2005 at New Delhi, India

 [1] Islam, M. S., Babel, M. S. and Das Gupta, A., (2005), Pressure Management for Leakage Reduction in a Water Distribution Network. Proceedings of the MTERM International Conference, held at AIT, Bangkok, Thailand, 8-10 June 2005, pp 587-594.

Poster Presentations

[6] Islam, M.S., Sadiq, R., Rodriguez, M.J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M., (2012), Integrated Prognostic and Diagnostic Analysis of Water Distribution System Failures, BCWWA Annual Conference and Tradeshow, Penticton, BC, 21-15 April, 2012

[5] Islam, M.S., Sadiq, R., Rodriguez, M.J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M.,(2012), Water Distribution System Failures: An Integrated Prognostic and Diagnostic Analysis Framework, The University of British Columbia, Okanagan, School of Engineering Research Poster Competition,  March, 2012, Received Best Poster Award

[4] Mohapatra, A., Sadiq, R., Zargar, A., Islam, M.S., Dyck, R.  (2011), A review of Data Fusion Methodology and Applications in the context of Dose Response Assessment and Human Health Risk Assessment, OpenTox2011, Innovation in Predictive Toxicology: OpenTox InterAction Meeting 2011,  Technical University of Munich, Munich, Germany, 9-12 August 2011

[3] Islam, M.S., Sadiq, R., Rodriguez, M.J., Francisque, A., Najjaran, H., Naser, B., Hoorfar, M., (2010), Water Distribution System Failure: A Forensic Analysis, The University of British Columbia, Okanagan, School of Engineering Research Poster Competition ( November, 17, 2010). (was selected for final round)

[2] Dyck, R., Islam, M.S., Zargar, A., Mohapatra, A., Sadiq, R., (2010), Risk Assessment Framework for Contaminated Sites: Data Fusion Techniques, The University of British Columbia, Okanagan, School of Engineering Research Poster Competition (November, 17, 2010).

[1] Islam, M.S., Babel, M. S. and Sadiq, R.,(2010), Estimation of Economic Level of Leakage –A Cost Effective Approach, BC water Symposium, The University of British Columbia, Okanagan, Canada, August, 30, 2010.

Technical Reports

[4] Islam, M.S., (2012 Water Model Management Plan- Review and Recommendations, Prepared for City of Kelowna, Canada

[3] Islam, M.S., (2012) Sewer Model Management Plan- Review and Recommendations, Prepared for City of Kelowna, Canada

[2] Sadiq, R., Islam, M.S., Zargar, Dyck, R., (2011), Risk Assessment Framework for Contaminated Sites: A Critical Review and Potential Applications of Data Fusion Methods. Submitted to the Regions and Programs Branch (RAPB) Health Canada Health Canada, Calgary, Alberta, Canada (One of the main contributor)

[1] Janmaat, J, Islam, M.S., (2011), Review of Biophysical Impact of Columbia River Treaty Dams, Submitted to the Columbia Basin Trust, BC, Canada


Workshop Presentations

[2] Mohapatra, A., Sadiq, R., Zargar, A., Islam, M.S., Dyck, R.  (2011), Data Fusion-based Human Health Risk Assessment Framework: Illustrative Examples, Beyond Science and Decisions: From Issue Identification to Dose-Response Assessment, Workshop III: Alliance for Risk Assessment, Falls Church, VA, May 5, 2011 (One of the main contributor)

[1] Mohapatra, A., Sadiq, R., Zargar, A., Islam, M.S., Dyck, R.  (2010), Review of data fusion methodologies to integrate data from different organizational levels, Beyond Science and Decisions: From Issue Identification to Dose-Response Assessment, Workshop III: Alliance for Risk Assessment, Crystal City, VA, October 11, 12, & 13, 2010 (One of the main contributors).

Accepted Abstracts

[3] Islam, M.S., Sadiq, R., Rodriguez, M. J., Najjaran, H., Naser,B., Hoorfar, M., (2012), Quantification of Uncertainties in WSS Reliability Assessment: A Novel Methodology, Accepted for poster and proceeding publication for the 15th  National Drinking Water Conference, Kelowna, October 2012

[2] Mohapatra, A.K., Sadiq, R., Zargar, A., Islam, M.S., Dyck, R., (2011) Application of a data fusion framework to integrate toxicity data for a petroleum hydrocarbon mixture International Toxicology of Mixtures Conference, October 21-23, 2011. Arlington, Virginia. (Poster presentation)

[1] Dyck, R. Sadiq, R., Zargar, A., Islam, M.S., Mohapatra, A.K., (2011) Application of a data fusion framework to integrate toxicity data for a petroleum hydrocarbon mixture Society For Risk Analysis Annual Meeting 2011 December 4-7, 2011. Charleston, South Carolina (Oral presentation)

 

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