Login | Register

A Data-Driven Decision Model for Combined Sewer Overflow Management using the Low-Impact Development Rapid Assessment Method

Title:

A Data-Driven Decision Model for Combined Sewer Overflow Management using the Low-Impact Development Rapid Assessment Method

Saber-Freedman, Noah (2016) A Data-Driven Decision Model for Combined Sewer Overflow Management using the Low-Impact Development Rapid Assessment Method. Masters thesis, Concordia University.

[thumbnail of Saber-Freedman_MASc_W2016.pdf]
Preview
Text (application/pdf)
Saber-Freedman_MASc_W2016.pdf - Accepted Version
2MB

Abstract

Mitigating the frequency and severity of Combined Sewer Overflows (CSOs) represents a significant engineering and economic challenge in urban stormwater management (SWM). Low-Impact Development (LID) methods are a decentralized approach for dealing with this challenge. Current methods for estimating CSO mitigation efficacy and informing choices about infrastructure solutions are typically based on simulation of the storm sewer network for municipalities. The recent public availability of rainfall and CSO data represents a potential opportunity to improve the quality of these estimates, as well as reducing the time it takes to generate them.

A novel decision support model is presented which solves a Mixed Integer Program (MIP) formulation of the Low-Impact Development Rapid Assessment (LIDRA) method algorithmically to identify priority catchment areas for intervention with LID infrastructure, as well as the optimal extent of investment, subject to different budgetary constraints. The reliability of the model is improved by means of a Monte Carlo simulation.

This method is demonstrated with an open dataset from the city of Spokane, Washington, but it is generalizable to other municipalities where storm and CSO data is available.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Saber-Freedman, Noah
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Industrial Engineering
Date:March 2016
Thesis Supervisor(s):Schmitt, Ketra
Keywords:Combined Sewer Overflow, CSO, Decision Model, Stormwater Management, SWM, Sustainable Infrastructure
ID Code:981094
Deposited By: NOAH SABER-FREEDMAN
Deposited On:15 Jun 2016 16:26
Last Modified:18 Jan 2018 17:52
Additional Information:For my father, my teacher: Dr. Aaron Jaan Saber, who is now and always very deeply missed.

References:

Ahammed, F., Hewa, G. A., & Argue, J. R. (2012). Applying multi-criteria decision analysis to select WSUD and LID technologies. Water Science and Technology: Water Supply, 844-853.
Appan, A. (1999). A dual-mode system for harnessing roofwater for non-potable uses. Urban Water, 317-321.
Ariratnam, S. T., & MacLeod, C. W. (2002). Financial Outlay Modeling for a Local Sewer Rehabilitation Strategy. Journal of Construction Engineering and Management, 486-495.
Battaglin, W. A., & Kolpin, D. W. (2009). Contaminants of emerging concern: introduction to a featured collection. Journal of the American Water Resources Association, 45(1), 1-3.
Bedient, P., Huber, W., & Vieux, B. (2008). Hydrology and Floodplain Analysis (4th Edition). Upper Saddle River, NJ: Prentice Hall.
Black, P. E. (2005, 2 2). greedy algorithm. Retrieved from Dictionary of Algorithms and Data Structures: https://xlinux.nist.gov/dads//HTML/greedyalgo.html
Brombach, H., Weiss, G., & Fuchs, S. (2005). A new database on urban runoff pollution: Comparison of separate and combined sewer systems. Water Science & Technology, 51(2), 119-131.
Cahill, T. H. (2012). Low Impact Development and Sustainable Stormwater Management. Hoboken, NJ.: Wiley.
CBC News. (2015, November 12). Montreal's raw sewage dump makes international headlines. Retrieved from CBC News Montreal: http://www.cbc.ca/news/canada/montreal/international-media-response-montreal-sewage-dump-st-lawrence-river-1.3316173
Charnes, A., Cooper, W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 429-444.
City of Spokane. (2016, 02 16). Program Budget - CIty of Spokane, Washington. Retrieved from spokanecity: https://my.spokanecity.org/budget/budget-tool/
City of Spokane, City of Spokane Valley, Spokane County. (2008). Spokane Regional Stormwater Manual. Spokane, WA.
City of Spokane; City of Spokane Valley; Spokane County. (2008). Spokane Regional Stormwater Manual. Spokane, WA.
Clemen, R. T., & Reilly, T. (2001). Making Hard Decisions. Pacific Grove, CA: Brooks/Cole.
Davis, M. L., & Cornwell, D. A. (2008). Introduction to Environmental Engineering. New York: McGraww-Hill.
Dietz, M., & Clausen, J. (2008). Stormwater runoff and export changes with development in a traditional and low impact subdivision. Journal of Environmental Management, 87(4), 560-566.
Eganhouse, R., & Sherblom, P. (2001). Anthropogenic organic contaminants in the effluent of a combined sewer overflow: impact on Boston Harbor. Marine Environmental Research, 51-74.
Elliott, A., & Trowsdale, S. (2007). A review of models for low impact urban stormwater drainage. Environmental Modelling & Software, 22(3), 394-405.
Fenner, R., & Sweeting, L. (1999). A decision support model for the rehablitation of “non-critical” sewers. Water Science and Technology, 193-200.
Field, R., Sullivan, D., & Tafuri, A. N. (2004). Management of Combined Sewer Overflows. Boca Raton, FL.: CRC Press.
Gasperi, J., & al., e. (2008). Priority pollutants in wastewater and combined sewer overflow. Science of the Total Environment, 263-272.
Glover, F. (1967). Maximum matching in a convex bipartite graph. Naval Research Logistics Quarterly, 313-316.
Gupta, K., & Saul, A. J. (1996). Specific relationships for the first flush load in combined sewer flows. Water Research, 1244-1252.
Halfawy, M. R., Dridi, L., & Baker, S. (2008). Integration Decision Support System for Optimal Renewal Planning of Sewer Networks. Journal of Computing in Civil Engineering, 360-372.
Hood, M. J., Clausen, J. C., & Warner, G. S. (2007). Comparison of stormwater lag times for low impact and traditional residential development. Journal of the American Water Resources Association, 43(4), 1036-1046.
Houle, J. J., & al., e. (2013). Comparison of Maintenance Cost, Labor Demands, and System Performance for LID and Conventional Stormwater Management. Journal of Environmental Engineering, 932-938.
International Organization for Standardization. (2009, 09 15). ISO/IEC/IEEE 9945:2009 - Information technology -- Portable Operating System Interface (POSIX®) Base Specifications, Issue 7. (International Organization for Standardization) Retrieved 10 7, 2015, from http://www.iso.org/iso/catalogue_detail.htm?csnumber=50516
Jones, M. P., & Hunt, W. F. (2009). Performance of rainwater harvesting systems in the southeastern United States. Resources, Conservation and Recycling, 623-629.
Kammen, D. M., & Hassenzahl, D. M. (1999). Should We Risk It? Exploring Tenvironmental, Health, and Technological Problem Solving. Princeton, NJ: Princeton University Press.
Lau, J., Butler, D., & Schütze, M. (2002). Is combined sewer overflow spill frequency/volume a good indicator of receiving water quality impact? Urban Water, 181-189.
Lee, J. G., Heaney, J. P., & Lai, F.-h. (2016, 3 17). Optimization of Decentralized BMP Controls in Urban Areas. Retrieved from United States Environmental Protection Agency: https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=484278
Lee, J. H., & Bang, K. W. (2000). Characterization of Urban Stormwater Runoff. Water Research, 34(6), 1773-1780.
Maechler, M. (n.d.). Date-time Conversion Functions. (Seminar für Statistik, ETH Zurich) Retrieved 7 10, 2015, from https://stat.ethz.ch/R-manual/R-devel/library/base/html/as.POSIXlt.html
Maechler, M. (n.d.). Date-time Conversion Functions to and from Character. (Seminar für Statistik , ETH Zurich) Retrieved 07 10, 2015, from https://stat.ethz.ch/R-manual/R-devel/library/base/html/strptime.html
Matamoros, V., Garcia, J., & Bayona, J. M. (2008). Organic micropollutant removal in a full-scale surface flow constructed wetland fed with secondary effluent. Water Research, 653-660.
Montalto, F., Behr, C., Alfredo, K., Wolf, M., Arye, M., & Walsh, M. (2007). Rapid assessment of the cost-effectiveness of low impact development for CSO control. Landscape and Urban Planning, 82, 117-131.
Mulligan, C. N. (2002). Environmental Biotreatment: Technologies for Water, Air, Soil, and Waste. Rockville, MD: Government Institutes.
Nielson, B., & Turney, D. (2010). Green Infrastructure Optimization Analyses for Combined Sewer Overflow. American Society of Civil Engineers Proceedings: Low Impact Development 2010, 1533-1541.
Oregon State University. (2016, 3 17). Final Step - LID 1.04 Lined filtration rain garden. Retrieved from OSU Extension Service: Water and Watershed Education | Stormwater Solutions: http://extension.oregonstate.edu/stormwater/final-step-3
Quick-R. (2016, 02 06). Graphical Parameters. Retrieved from Quick-R: http://www.statmethods.net/advgraphs/parameters.html
Revelle, C. S., Whitlach, E. E., & Wright, J. R. (2004). Civil and Environmental Systems Engineering. Upper Saddle River, NJ.: Pearson Prentice Hall.
Richardson, S., & Ternes, T. (2005). Water Analysis: Emerging Contaminants and Current Issues. Analytical Chemistry, 77(12), 3807-3838.
Ripley, B. (2016, 03 21). MASS: Support Functions and Datasets for Venables and Ripley's MASS. Retrieved from CRAN - Package MASS: https://cran.r-project.org/web/packages/MASS/index.html
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 9-26.
Sample, D. J., & al., e. (2001). Geographic Information SYstems, Decision Support Systems, and Urban Storm-Water Management. Journal of Water Resources Planning and Management, 155-161.
Selman, B., & Kautz, H. A. (1993). An Empirical Study of Greedy Local Search for Satisfiability Testing. AAAI (pp. 46-51). Murray Hill, NJ: AT&T Bell Laboratories.
Servais, P., Seidl, M., & Mouchel, J.-M. (1999). Comparison of Parameters Characterizing Organic Matter in a Combined Sewer During Rainfall Events and Dry Weather. Water Environment Research, 71(4), 408-417.
Taebi, A., & Droste, R. L. (2004). Pollution loads in urban runoff and sanitary wastewater. Science of the Total Environment, 327(1-3), 175-184.
Thorolfsson. (1999). New strategies in stormwater-meltwater management in the city of Bergen, Norway. Water Science and Technology, 39(2), 169-176.
Toffol, S. D., Engelhard, C., & Rauch, W. (2007). Combined sewer system versus separate system – a comparison of ecological and economical performance indicators. Water Science and Technolgoy, 55(4), 255-264.
USEPA. (2015, 12 1). EPANET. Retrieved from US Environmental Protection Agency: http://www2.epa.gov/water-research/epanet
Western Regional Climate Center. (2005, 12 31). SPOKANE WSO AIRPORT, WASHINGTON Period of Record Monthly Climate Summary. (Western Regional Climate Center) Retrieved 01 28, 2015, from http://www.wrcc.dri.edu/cgi-bin/cliRECtM.pl?waspok
Wirahadikusumah, R., & al., e. (1998). Assessment technologies for sewer system rehabilitation. Automation in Construction, 259-270.
Wirahadikusumah, R., Abraham, D. M., & Castello, J. (1999). Markov decision process for sewer rehabilitation. Engineering, Construction and Architectural Management, 358-370.
Wolsey, L. A. (1998). Integer Programming. New Jersey: Wiley-Interscience.
Yazdanfar, Z., & Sharma, A. (2015). Urban drainage system planning and design – challenges with climate change and urbanization: a review. Water Science & Technology, 72(2), 165-179.
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top