Optimal selection and placement of BMPs and LID practices with a rainfall-runoff model

Environmental Modelling and Software

Volumn 80, Issue , 2016, Pages 281-296

  Liu, Yaoze ^a   Cibin, Raj ^a   Bralts, Vincent F ^a   Chaubey, Indrajeet ^a,b   Bowling, Laura C ^a   Engel, Bernard A ^a  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Best management practices; Cost; Low impact development practices; Optimization; Runoff; Water quality

Indexed keywords

ALGORITHMS; COMPUTATIONAL EFFICIENCY; COSTS; DECISION MAKING; ENVIRONMENTAL IMPACT; OPTIMIZATION; RUNOFF; WATER QUALITY;

BEST MANAGEMENT PRACTICES; DECISION SUPPORT TOOLS; ENVIRONMENTAL BENEFITS; LOW IMPACT DEVELOPMENT; OPTIMAL SELECTION; OPTIMIZATION ALGORITHMS; OPTIMIZATION STRATEGY; RAINFALL-RUNOFF MODELING;

DECISION SUPPORT SYSTEMS;

ALGORITHM; BEST MANAGEMENT PRACTICE; COST ANALYSIS; DECISION MAKING; ENVIRONMENTAL ECONOMICS; ENVIRONMENTAL IMPACT; EXPENDITURE; OPTIMIZATION; RAINFALL-RUNOFF MODELING; RUNOFF; WATER QUALITY;

INDIANA; UNITED STATES;

EID: 84960911319     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2016.03.005     Document Type: Article

References (45)

1. Ahiablame L.M., Engel B.A., Chaubey I. Representation and evaluation of low impact development practices with L-THIA-LID: an example for site planning. Environ. Pollut. 2012, 1(2). 10.5539/ep.v1n2p1.
2. Ahiablame L.M., Engel B.A., Chaubey I. Effectiveness of low impact development practices in two urbanized watersheds: retrofitting with rain barrel/cistern and porous pavement. J. Environ. Manag. 2013, 119:151-161. 10.1016/j.jenvman.2013.01.019.
3. Arabi M., Govindaraju R.S., Hantush M.M. Cost-effective allocation of watershed management practices using a genetic algorithm. Water Resour. Res. 2006, 42:W10429. 10.1029/2006WR004931.
4. Bhaduri B., Grove M., Lowry C., Harbor J. Assessing the Long term hydrological impact of land-use change: cuppy-McClure watershed, Indiana. J. Am. Water Works Assoc. 1997, 89(11):94-106.
5. Choi W. Estimating land-use change impacts on direct runoff and non-point source pollutant loads in the Richland Creek Basin (Illinois, Usa) by applying the L-THIA model. J. Spat. Hydrol. 2007, 7(1):47-65.
6. Cibin R., Chaubey I. A computationally efficient approach for watershed scale spatial optimization. Environ. Modell. Softw. 2015, 66:1-11.
7. Damodaram C., Giacomoni M.H., Khedun C.P., Holmes H., Ryan A., Saour W., Zechman E.M. Simulation of combined best management practices and low impact development for sustainable stormwater Management1. J. Am. Water Resour. As 2010, 46(5):907-918.
8. Davis A.Y., Pijanowski B.C., Robinson K., Engel B.A. The environmental and economic costs of sprawling parking lots in the United States. Land Use Policy 2010, 27(2):255-261.
9. Deb K., Pratap A., Agarwal S., Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comp. 2002, 6(2):182-197.
10. Dietz M.E. Low impact development practices: a review of current research and recommendations for future directions. Water Air Soil Poll. 2007, 186(1-4):351-363.
11. Engel B.A., Choi J.Y., Harbor J., Pandey S. Web-based DSS for hydrologic impact evaluation of small watershed land use changes. Comput. Electron. Agric. 2003, 39:241-249.
12. Gilroy K.L., McCuen R.H. Spatio-temporal effects of low impact development practices. J. Hydrol. 2009, 367(3):228-236.
13. Gitau M.W., Veith T.L., Gburek W.J. Farm-level optimization of BMP placement for cost-effective pollution reduction. Trans. ASAE 2004, 47(6):1923-1931.
14. Haario H., Saksman E., Tamminen J. An adaptive metropolis algorithm. Bernoulli 2001, 7(2):223-242.
15. Harbor J. A practical method for estimating the impact of land use change on surface runoff, groundwater recharge and wetland hydrology. J. Am. Plan. Assoc. 1994, 60:91-104. 10.1080/01944369408975555.
16. Joseph J.F., Guillaume J.H.A. Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT. Environ. Model. Softw. 2013, 46:292-298. http://dx.doi.org/10.1016/j.envsoft.2013.03.012.
17. Kennedy J., Eberhart R.C. Swarm Intelligence 2001, Morgan Kaufmann, San Mateo.
18. Lautenbach S., Volk M., Strauch M., Whittaker G., Seppelt R. Optimization based trade-off analysis of biodiesel crop production for managing an agricultural catchment. Environ. Model. Softw. 2013, 48:98-112.
19. Lee J.G., Selvakumar A., Alvi K., Riverson J., Zhen J.X., Shoemaker L., Lai F.H. A watershed-scale design optimization model for stormwater best management practices. Environ. Model. Softw. 2012, 37:6-18.
20. Liu J., Zhu A., Liu Y., Zhu T., Qin C.Z. A layered approach to parallel computing for spatially distributed hydrological modeling. Environ. Model. Softw. 2014, 51:221-227.
21. Liu Y., Ahiablame L.M., Bralts V.F., Engel B.A. Enhancing a rainfall-runoff model to assess the impacts of BMPs and LID practices on storm runoff. J. Environ. Manag. 2015, 147:12-23. 10.1016/j.jenvman.2014.09.005.
22. Liu Y., Bralts V.F., Engel B.A. Evaluating the effectiveness of management practices on hydrology and water quality at watershed scale with a rainfall-runoff model. Sci. Total Environ. 2015, 511:298-308. 10.1016/j.scitotenv.2014.12.077.
23. Maringanti C., Chaubey I., Popp J. Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control. Water Resour. Res. 2009, 45:W06406. 10.1029/2008WR007094.
24. Maringanti C., Chaubey I., Arabi M., Engel B.A. Application of a multi-objective optimization method to provide least cost alternatives for NPS pollution control. Environ. Manag. 2011, 10.1007/s00267-011-9696-2.
25. McGarity A.E. Storm-water investment strategy evaluation model for impaired urban watersheds. J. Water Resour. Plan. Manag. 2012, 138(2):111-124.
26. McGarity A.E. Optimization for urban watershed management: stormwater runoff and nonpoint pollution control. Chapter 8. Water Resources Systems Analysis through Case Studies 2013, American Society of Civil Engineers. D.W. Watkins (Ed.).
27. McGarity A.E. Watershed systems analysis for urban stormwater management to achieve water quality goals. J. Water Resour. Plan. Manag. 2013, 139(5):464-477.
28. Pandey S., Gunn R., Lim K.J., Engel B.A., Harbor J. Developing a web-enabled tool to assess long-term hydrologic impacts of landuse change: information technology issues and a case study. URISA Wash. D.C. 2000, 12(4):5-22.
29. Prince George's County, Department of Environmental Resources Low-impact Development Design Strategies: an Integrated Design Approach 1999, Department of Environmental Resources, Programs and Planning Division.
30. Rao P. A parallel RMA2 model for simulating large-scale free surface flows. Environ. Model. Softw. 2005, 20(1):47-53.
31. Rodriguez H.G., Popp J., Maringanti C., Chaubey I. Selection and placement of best management practices used to reduce water quality degradation in Lincoln Lake watershed. Water Resour. Res. 2011, 47:W01507. 10.1029/2009WR008549.
32. Rouholahnejad E., Abbaspour K.C., Vejdani M., Srinivasan R., Schulin R., Lehman A. A parallelization framework for calibration of hydrological models. Environ. Model. Softw. 2012, 31:28-36.
33. Shoemaker L., Riverson J., Alvi K., Zhen J.X., Paul S., Rafi T. SUSTAIN-A Framework for Placement of Best Management Practices in Urban Watersheds to Protect Water Quality 2009, (Fairfax, VA).
34. Storn R., Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11:341-359.
35. Sudheer K.P., Lakshmi G., Chaubey I. Application of a pseudo-simulator to evaluate the sensitivity of parameters in complex watershed models. Environ. Model. Softw. 2011, 26:135-143.
36. Tang Z., Engel B.A., Pijanowski B.C., Lim K.J. Forecasting land use change and its environmental impact at a watershed scale. J. Environ. Manag. 2005, 76(1):35-45.
37. Tedesco L.P., Hoffmann J., Bihl L., Hall B.E., Barr R.C., Stouder M. Upper White River Watershed Regional Watershed Assessment and Planning Report 2011.
38. The LIDC (Low Impact Development Center, Inc), GeoSyntec Consultants, University of Florida, and Oregon State University Evaluation of Best Management Practices for Highway Runoff Control 2006, Transportation Research Board, National Research Council.
39. USEPA (U.S. Environmental Protection Agency) Stormwater Best Management Practice Design Guide 2004, vol. 2. EPA/600/R-04/121A, U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC.
40. USEPA (US Environmental Protection Agency) Reducing Stormwater Costs through Low Impact Development (LID) Strategies and Practices 2008, EPA 841-F-07-006, Nonpoint Source Control Branch, Washington, D.C.
41. Vrugt J.A., Robinson B.A. Improved evolutionary optimization from genetically adaptive multi-method search. Proc. Nat. Acad. Sci. 2007, 104:708-711.
42. Wright T.J., Liu Y., Carroll N.J., Ahiablame L.M., Engel B.A. Retrofitting LID practices into existing neighborhoods: is it worth it?. Environ. Manag. 2016, 10.1007/s00267-015-0651-5.
43. Yalew S., van Griensven A., Ray N., Kokoszkiewicz L., Betrie G.D. Distributed computation of large scale SWAT models on the grid. Environ. Model. Softw. 2013, 41:223-230. http://dx.doi.org/10.1016/j.envsoft.2012.08.002.
44. Zhang X., Beeson P., Link R., Manowitz D., Izaurralde R.C., Sadeghi A., Thomson A.M., Sahajpal R., Srinivasan R., Arnold J.G. Efficient multiobjective calibration of a computationally intensive hydrologic model with parallel computing software in Python. Environ. Model. Softw. 2013, 46:208-218.
45. Zhang X., Izaurralde R.C., Manowitz D., West T.O., Post W.M., Thomson A.M., Williams J.R. An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems. GCB Bioenergy 2010, 2(5):258-277.