Publications

Google Scholar

  1. Garcia-Cuerva, L., E. Berglund, and L. Rivers III (2018). An Integrated Approach to Place Green Infrastructrue Strategies in Marginalized Communities and Evaluate Stormwater Mitigation, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2018.02.066
  2. Monroe, J., E. Ramsey, and E. Berglund (2018). Allocating countermeasures to defend water distribution systems against terrorist attack, Reliability Engineering & System Safety, https://doi.org/10.1016/j.ress.2018.02.014
  3. Shafiee, M. and E. Berglund (2018). An Agent-based Modeling Framework for Assessing the Public Health Protection of Water Advisories, Water Resources Management, https://doi.org/10.1007/s11269-018-1916-6.
  4. Ramsey, E., Berglund, E., and Goyal, R. (2017). The Impact of Demographic Factors, Beliefs, and Social Influences on Residential Water Consumption and Implications for Non-Price Policies in Urban India, Water, 9(11), 844; doi: 10.3390/w9110844.
  5. Shafiee, M. and Berglund, E. (2017). Agent-based modelling approach to evaluate the effect of collaboration among scientists in scientific workflows. Journal of Simulation, 10.1080/17477778.2017.1387333.
  6. Sankarasubramanian, A., Sabo, J., Larson, K., Seo, S., Sinha, T., Bhowmik, R., Vidal, A., Kunkel, K., Mahinthakumar, G., Berglund, E., Kominoski, J. (2017). Sythesis of public water supply use in the United States: Spatio-temporal patterns and socio-economic controls. Earth’s Future, doi:10.1002/2016EF000511.
  7. Shafiee, M. and Berglund, E. (2017). Complex Adaptive Systems Framework to Simulate the Performance of Hydrant Flushing Rules and Broadcasts during a Water Distribution System Contamination Event. Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000744.
  8. Kandiah, V., Binder, A. R. and Berglund, E. Z. (2017), An Empirical Agent-Based Model to Simulate the Adoption of Water Reuse Using the Social Amplification of Risk Framework. Risk Analysis. doi:10.1111/risa.12760
  9. Mashhadi Ali, A., Shafiee, M.E., and Berglund, E. (2017) Agent-based modeling to simulate the dynamics of urban water supply: Climate, population growth, and water shortages. Sustainable Cities and Society, 28, 420-434.
  10. Barker, Z., Stillwell, A., and Berglund, E. (2016). Scenario Analysis of Energy and Water Trade-Offs in the Expansion of a Dual Water System. Journal of Water Resources Planning and Management, 142(12), 05016012.
  11. Kandiah, V., Berglund, E., and Binder, A. (2016). Cellular Automata Modeling Framework for Urban Water Reuse Planning and Management. Journal of Water Resources Planning and Management, 142(12), 04016054.
  12. Garcia-Cuerva, L., Berglund, E.Z., and Binder, A.R. (2016). Public Perceptions of Water Shortages, Conservation Behaviors, and Support for Water Reuse in the U.S. Resources, Conservation and Recycling, 113, 106-115.
  13. Shafiee, E.M., and Berglund, E. (2016). Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies, Computers, Environment and Urban Systems, 57, 12-25.
  14. Kanta, L., and Berglund, E. (2015). Exploring Tradeoffs in Demand-side and Supply-side Management of Urban Water Resources using Agent-based Modeling and Evolutionary Computation, Systems, 3(4), 287-308.  (This article belongs to the Special Issue Agent-Based Modelling of City Systems)
  15. Shafiee, M., Berglund, A., Berglund, E., Brill, E., Jr., and Mahinthakumar, G. (2015). Parallel Evolutionary Algorithm for Designing Water Distribution Networks to Minimize Background Leakage, Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000601, C4015007.
  16. Berglund, E.Z. (2015). Using Agent-based Modeling for Water Resources Planning and Management. Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000544, 04015025.
  17. Giacomoni, M. & Berglund, E.Z. (2015). A Complex Adaptive Simulation Framework for Evaluating Adaptive Demand Management for Urban Water Resources Sustainability. Journal of Water Resources Planning and Management, 10.1061/(ASCE)WR.1943-5452.0000543, 04015024.
  18. Shafiee, M., & Berglund, E. (2015). Real-Time Guidance for Hydrant Flushing Using Sensor-Hydrant Decision Trees. Journal of Water Resources Planning and Management, 141(6), 04014079. 
  19. Giacomoni, M., Gomez, R., & Berglund, E.Z. (2014). Hydrologic Impact Assessment of Land Use Change and Stormwater Management using the Hydrologic Footprint Residence. Journal of American Water Resources Association (JAWRA), 50(5), 1242-1256. DOI: 10.1111/jawr.12187
  20. Scott, T.J., Politte, A., Collard, S., Saathoff, S., Berglund, E.Z., Barbour, J., & Sprintson, A. (2014). A Test of the Stormwater Footprint Calculator for Improving Knowledge and Changing Attitudes about Design for Sustainability in Stormwater Management. Sustainability: Science, Practice, & Policy, 10(1), 14 pages
  21. Kanta, L. & Zechman, E.M. (2014). A Complex Adaptive Systems Framework to Assess Supply-side and Demand-side Management for Urban Water Resources. Journal of Water Resources Planning and Management, 140(1), 75-85.
  22. Marchi A., …, Zechman, E.M., et al. (+59 co-authors) (2014). Battle of the Water Networks II (BWN-II). Journal of Water Resources Planning and Management, 140(7)
  23. Giacomoni, M., Kanta, L., & Zechman, E.M. (2013). A Complex Adaptive Systems Approach to Simulate the Sustainability of Water Resources and Urbanization. Journal of Water Resources Planning and Management, 139(5), 554-564.
  24. Rasekh, A., Shafiee, M.E., Zechman, E.M., & Brumbelow, K. (2013). Sociotechnical Risk Assessment for Water Distribution System Contamination Threats. Journal of Hydroinformatics,16(3), 531-549.
  25. Shafiee, M., & Zechman, E.M. (2013). An Agent-based Modeling Framework for Sociotechnical Simulation of Water Distribution Contamination Events. Journal of Hydroinformatics, 15(3), 862-880.
  26. Zechman, E.M. (2013). Integrating Evolution Strategies and Genetic Algorithms with Agent-based Modeling for Flushing a Contaminated Water Distribution System. Journal of Hydroinformatics, 15(3), 798-812.
  27. Zechman, E.M., Giacomoni, M., & Shafiee, M. (2013). An Evolutionary Algorithm Approach to Generate Distinct Sets of Non-Dominated Solutions for Wicked Problems. Engineering Applications of Artificial Intelligence, 26(5), 1442-1457.
  28. Suresh, M.A., Stoleru, R., Zechman, E., & Shihada, B. (2013). On Event Detection and Localization in Acyclic Flow Networks. IEEE Transactions on Systems, Man and Cybernetics: Part A: Systems, 43(3), 708-723. 
  29. Damodaram, C., & Zechman, E.M. (2013). Simulation-Optimization Approach to Design Low Impact Development for Managing Peak Flow Alterations in Urbanizing Watersheds. Journal of Water Resources Planning and Management, 139(3), 290-298.
  30. Mirghani, B., Zechman, E.M., Ranjithan, S., & Mahinthakumar, G. (2012). Enhanced Simulation-Optimization Approach Using Surrogate Modeling for Solving Inverse Problems. Environmental Forensics, 13(4), 348-363.
  31. Kanta, L., Zechman, E.M., & Brumbelow, K. (2012). A Multi‐Objective Evolutionary Computation Approach for Redesigning Water Distribution Systems to Provide Fire Flows. Journal of Water Resources Planning and Management, 138(2), 144-152.
  32. Manian, D., Kaihatu, J.M., & Zechman, E.M. (2012). Using Genetic Algorithms to Optimize Bathymetric Sampling for Predictive Model Input. Journal of Atmospheric and Oceanic Technology, 29(3), 464-477.
  33. Giacomoni, M., Zechman, E.M., & Brumbelow, K. (2012). The Hydrologic Footprint Residence: An Environmentally-friendly Criteria for Best Management Practices. Journal of Hydrologic Engineering, 17(1), 99-108
  34. Liu, L., Zechman, E.M., Mahinthakumar, G., & Ranjithan, S. (2012). Identifying contaminant sources for water distribution systems using a hybrid method. Civil Engineering and Environmental Systems, 29(2), 123-136.
  35. Liu, L., Zechman, E.M., Mahinthakumar, G., & Ranjithan, S. (2012). Coupling of logistic regression analysis and local search methods for characterization of water distribution system contaminant source. Engineering Applications of Artificial Intelligence, 25(2), 309-316
  36. Purtha, R., Quadrifoglio, L., & Zechman, E.M. (2012). Using an Ant Colony Optimization Approach for Solving Traffic Signal Coordination in Oversaturated Networks. Computer-Aided Civil and Infrastructure Engineering, 27(1), 14–28.
  37. Zechman, E.M. (2011). Agent-Based Modeling to Simulate Contamination Events and Evaluate Threat Management Strategies in Water Distribution Systems. Risk Analysis, 31(5), 758-772.
  38. Damodaram, C., Giacomoni, M.H., Prakash Khedun, C., Holmes, H., Ryan, A., Saour, W., & Zechman, E.M. (2010). Simulation of Combined Best Management Practices and Low Impact Development for Sustainable Stormwater Management. Journal of the American Water Resources Association, 46(5), 907-918
  39. Nicklow, J., Reed, P., D. Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, M., Minsker, B., Ostfeld, A., Singh, A., & Zechman, E. (2010). State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management. Journal of Water Resources Planning and Management, 136(4), 412-432
  40. Booker, G., Sprintson, A., Zechman, E.M., Singh, C., & Guikema, S. (2010). Efficient Availability Evaluation for Transport Backbone Networks. Computer Networks, 54(10), 1683-1691
  41. Reichold, L., Zechman, E.M., Brill, E.D., Jr., & Holmes, H. (2010). A Simulation-Optimization Framework to Support Sustainable Watershed Development by Mimicking the Predevelopment Flow Regime. Journal of Water Resources Planning and Management, 136(3), 366-375, Winner of 2011 Best Research-Oriented Paper Award
  42. Mirghani, B., Tryby, M., Ranjithan, S., Zechman, E.M., & Mahinthakumar, G. (2009). A Parallel Evolutionary Strategy Based Simulation–Optimization Approach for Solving Groundwater Source Identification Problems. Advances in Water Resources, 32(9), 1373-1385
  43. Zechman, E.M., & Ranjithan, S. (2009). Evolutionary Computation-based Methods for Characterizing Contaminant Sources in a Water Distribution System. Journal of Water Resources Planning and Management, 135(5), 334-343, Winner of 2010 Best Research-Oriented Paper Award
  44. Jin, X., Mahinthakumar, G., Zechman, E.M., Ranjithan, S. (2009). A genetic algorithm-based procedure for 3D source identification at the Borden emplacement site. Journal of Hydroinformatics, 11(1), 51-64
  45. Raghavachar, K., Mahinthakumar, G., Worley, P., Zechman, E.M., & Ranjithan, S. (2007). Parallel Performance Modeling using a Genetic Programming-based Error Correction Procedure. Simulation, 83(7), 515-527
  46. Zechman, E.M., & Ranjithan, S. (2007). Evolutionary Computation-based Approach for Model Error Correction and Calibration. Advances in Water Resources, 30(5), 1360-1370
  47. Zechman, E.M., & Ranjithan, S. (2007). Generating Alternatives using Evolutionary Algorithms for Water Resources and Environmental Management Problems. Journal of Water Resources Planning and Management, 133(2), 156-165
  48. Zechman, E.M., & Ranjithan, S. (2005). Multipopulation Cooperative Coevolutionary Programming (MCCP) to Enhance Design Innovation. In Beyer et al. (eds.), GECCO, ACM Press, 1641-1648
  49. Zechman, E.M., & Ranjithan, S. (2004). An Evolutionary Algorithm to Generate Alternatives (EAGA) for Engineering Optimization Problems. Engineering Optimization, 36(5), 539-553.
  50. Ormsbee, L., Elshorbagy, A., & Zechman, E.M. (2004). Methodology for pH Total Maximum Daily Loads: Application to Beech Creek Watershed. Journal of Environmental Engineering, 130(2), 167-174.
© Emily Berglund 2017