Case Studies
Sep 21, 2016

Multiobjective, Socioeconomic, Boundary-Emanating, Nearest Distance Algorithm for Stormwater Low-Impact BMP Selection and Placement

Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 1

Abstract

Stormwater low-impact development (LID) has become an important method for the reduction of stormwater runoff emanating from impervious surfaces to local water bodies. The extra runoff from human-made impervious surfaces overloads water bodies with polluted runoff. Since many LID best management practices (BMPs) exist, and many areas have multiple subcatchments, it is important to carefully select which BMPs to place in each subcatchment and its placement in order to minimize cost, but also to give the highest chance of owner BMP maintenance. LID BMPs are often constructed on private land and maintenance can be at the owner’s expense and, therefore, not guaranteed. A new algorithm, entitled multi-objective, socio-economic, boundary-emanating, nearest distance (MOSEBEND), that is easily used by practitioners is introduced and demonstrated here for a road in a community showing that the algorithm allows the selection of the set of BMPs on the various subcatchments with the lowest cost, highest runoff restoration to natural values, and highest likelihood of private-owner maintenance. The BMP selection and location starts at the downstream watershed boundary and propagates upstream, and then works in the upstream-to-downstream direction from the upstream watershed boundary. The multiple objectives addressed are cost-benefit ratio (CBR) and maintenance probability factor (MPF). The optimal solution is considered to be the one closest to the origin on a plot of CBR and MPF. It was found that the new algorithm resulted in a solution that is (1) low cost, (2) high benefit, and (3) more likely to be built and maintained than an analysis of any subset of these three objectives. The option with the highest cost-benefit-ratio is that in which LID BMPs are implemented in the upper and steeper portion of the catchment, for the watershed that the algorithm is demonstrated herein. However, that option has a less likely chance to be maintained and, therefore, is not ranked first by the MOSEBEND algorithm proposed here.

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Acknowledgments

This work was partially funded by the Master’s International Program in conjunction with the U.S. Peace Corps and Michigan Technological University.

References

Akbarnejad-Nesheli, S., Haddad, O. B., and Loáiciga, H. A. (2016). “Optimal in situ bioremediation design of groundwater contaminated with dissolved petroleum hydrocarbons.” J. Hazardous Toxic Radioactive Waste, 04015021.
Ashofteh, P.-S., Haddad, O. B., Loáiciga, H. A. (2015). “Evaluation of climatic-change impacts on multiobjective reservoir operation with multiobjective genetic programming.” J. Water Resour. Plann. Manage., 04015030.
Boatwright, J., Stephenson, K., Boyle, K., and Nienow, S. (2014). “Subdivision infrastructure affecting storm water runoff and residential property values.” J. Water Resour. Plann. Manage., 524–532.
Bouchard, N. R., Osmond, D. L., Winston, R. J., and Hunt, W. F. (2013). “The capacity of roadside vegetated filter strips and swales to sequester carbon.” Ecol. Eng., 54, 227–232.
Cano, O. M. (2015). “Low impact development (LID) opportunities in the district of Lamúd, Perú: A study of hydrology, costs and maintenance of appropriate stormwater best management practices (BMPs).” M.S. thesis, Michigan Technological Univ., Houghton, MI.
Chow, V. T., Maidment, D. R., and Mays, L. W. (1988). Applied hydrology, McGraw-Hill, New York.
Ciou, S., Kuo, J., Hsieh, P., and Yu, G. (2012). “Optimization model for BMP placement in a reservoir watershed.” J. Irrig. Drain. Eng., 736–747.
Cizek, A. R., and Hunt, W. F. (2013). “Defining predevelopment hydrology to mimic predevelopment water quality in stormwater control measures (SCMs).” Ecol. Eng., 57, 40–45.
Damodaram, C., and Zechman, E. M. (2013). “Simulation-optimization approach to design low impact development for managing peak flow alterations in urbanizing watersheds.” J. Water Resour. Plann. Manage., 290–298.
Davis, A. P, and McCuen, R. H. (2005). Stormwater management for smart growth, Springer, New York.
Deb, K., Mohan, M., and Mishra, M. (2003). “A fast multiobjective evolutionary algorithm for finding well-spread Pareto-optimal solutions.”, Indian Institute of Technology, Kanpur, India.
Duchene, M., McBean, E. A., and Thomson, N. R. (1994). “Modeling of infiltration from trenches for storm-water control.” J. Water Resour. Plann. Manage., 276–293.
Efta, J. A., and Chung, W. (2014). “Planning best management practices to reduce sediment delivery from forest roads using WEPP: Road erosion modeling and simulated annealing optimization.” Croatian J. For. Eng., 35(2), 167–178.
Emerson, C. H., Wadzuk, B. M., and Traver, R. G. (2010). “Hydraulic evolution and total suspended solids capture of an infiltration trench.” Hydrol. Processes, 24(8), 1008–1014.
Haddad, O. B., Hamedi, F., Fallah-Mehdipour, E., Orouji, H., and Mariño, M. A. (2015a). “Application of a hybrid optimization method in Muskingum parameter estimation.” J. Irrig. Drain. Eng., 04015026.
Haddad, O. B., Hosseini-Moghari, S.-M., and Loáiciga, H. A. (2016). “Biogeography-based optimization algorithm for optimal operation of reservoir systems.” J. Water Resour. Plann. Manage., 04015034.
Haddad, O. B., Moravej, M., and Loáiciga, H. A. (2015b). “Application of the water cycle algorithm to the optimal operation of reservoir systems.” J. Irrig. Drain. Eng., 04014064.
Houle, J. J., Roseen, R. M., Ballestero, T. P., Puls, T. A., and Sherrard, J. (2013). “Comparison of maintenance cost, labor demands, and system performance for LID and conventional stormwater management.” J. Environ. Eng., 932–938.
Kaini, P., Artita, K., and Nicklow, J. W. (2012). “Optimizing structural best management practices using SWAT and genetic algorithm to improve water quality goals.” Water Resour. Manage., 26(7), 1827–1845.
Kalcic, M. M., Frankenberger, J., Chaubey, I., Prokopy, L., and Bowling, L. (2015). “Adaptive targeting: Engaging farmers to improve targeting and adoption of agricultural conservation practices.” J. Am. Water Resour. Assoc., 51(4), 973–991.
Karamouz, M., and Nazif, S. (2013). “Reliability-based flood management in urban watersheds considering climate change impacts.” J. Water Resour. Plann. Manage., 520–533.
Karamouz, M., Taheriyoun, M., Baghvand, A., Tavakolifar, H., and Emami, F. (2010). “Optimization of watershed control strategies for reservoir eutrophication management.” J. Irrig. Drain. Eng., 847–861.
Kronaveter, L., Shamir, U., and Kessler, A. (2001). “Water-sensitive urban planning: Modeling on-site infiltration.” J. Water Resour. Plann. Manage., 78–88.
Kurkalova, L. A. (2015). “Cost-effective placement of best management practices in a watershed: Lessons learned from conservation effects assessment project.” J. Am. Water Resour. Assoc., 51(2), 359–372.
Lee, J. G., et al. (2012). “A watershed-scale design optimization model for stormwater best management practices.” Environ. Modell. Software, 37, 6–18.
Lewellyn, C., Lyons, C., Traver, R., and Wadzuk, B. (2015). “Evaluation of seasonal and large storm runoff volume capture of an infiltration green infrastructure system.” J. Hydrol. Eng., 04015047.
Limbrunner, J. F., Vogel, R. M., Chapra, S. C., and Kirshen, P. H. (2013). “Optimal location of sediment-trapping best management practices for nonpoint source load management.” J. Water Resour. Plann. Manage., 478–485.
Loáiciga, H. A., Majid Sadeghi, K., Shivers, S., and Kharaghani, S. (2015). “Stormwater control measures: Optimization methods for sizing and selection.” J. Water Resour. Plann. Manage., 04015006.
Maringanti, C., Chaubey, I., Arabi, M., and Engel, B. (2011). “Application of a multi-objective optimization method to provide least cost alternatives for NPS pollution control.” Environ. Manage., 48(3), 448–461.
Maringanti, C., Chaubey, I., and Popp, J. (2009). “Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control.” Water Resour. Res., 45(6), in press.
McGarity, A. E. (2012). “Storm-water investment strategy evaluation model for impaired urban watersheds.” J. Water Resour. Plann. Manage., 111–124.
Mobley, J. T., and Culver, T. B. (2014). “Design of outlet control structures for ecological detention ponds.” J. Water Resour. Plann. Manage., 250–257.
Mobley, J. T., Culver, T. B., and Hall, T. E. (2014). “Simulation-optimization methodology for the design of outlet control structures for ecological detention ponds.” J. Water Resour. Plann. Manage., 250–257.
Panagopoulos, Y., Makropoulos, C., Kossida, M., and Mimikou, M. (2014). “Optimal implementation of irrigation practices: Cost-effective desertification action plan for the Pinios basin.” J. Water Resour. Plann. Manage., 05014005.
Rossman, L. A. (2010). Storm water management model user’s manual—Version 5.0, Environmental Protection Agency, Cincinnati.
Saravanapavan, T., Zhang, G., and Voorhees, M. (2013). “Sustainability through optimization: The future of watershed management.” Appl. Mech. Mater., 261–262, 876–881.
Sebti, A., Fuamba, M., and Bennis, S. (2016). “Optimization model for BMP selection and placement in a combined sewer.” J. Water. Resour. Plann. Manage., 04015068.
Seifollahi-Aghmiuni, S., Haddad, O. B., and Loáiciga, H. A. (2016). “Development of a sample multiattribute and multireservoir system for testing operational models.” J. Irrig. Drain. Eng., 04015039.
Shuster, W., Burkman, C., Grosshans, J., Dadio, S., and Losco, R. (2015). “Green residential demolitions: Case study of vacant land reuse in storm water management in Cleveland.” J. Constr. Eng. Manage., 06014011.
USEPA (U.S. Environmental Protection Agency). (1999). “Storm water technology fact sheet: Vegetated swales.” Environmental Protection Agency, Office of Water, Washington, DC.
USEPA (U.S. Environmental Protection Agency). (2015). “SWMM.” 〈http://www2.epa.gov/water-research/storm-water-management-model-swmm#downloads〉 (Apr. 6, 2015).
Wadzuk, B. M., and Traver, R. G. (2012). “Design, construction and evaluation of a stormwater control measure treatment train.” World Environmental and Water Resources Congress, ASCE, Reston, VA, 321–328.
WERF (Water Environment Research Federation). (2009). User’s guide to the BMP and LID whole life cost models version 2.0, Alexandria, VA.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 143Issue 1January 2017

History

Received: Nov 30, 2015
Accepted: Aug 9, 2016
Published online: Sep 21, 2016
Published in print: Jan 1, 2017
Discussion open until: Feb 21, 2017

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Authors

Affiliations

Olga M. Cano [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Michigan Technological Univ., Houghton, MI 49931. E-mail: [email protected]
Brian D. Barkdoll, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Michigan Technological Univ., Houghton, MI 49931 (corresponding author). E-mail: [email protected]

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