Comparison of parametric and nonparametric disaggregation models for the top-down generation of water demand time series

References

• Alcocer-Yamanaka, V. H., V. G. Tzatchkov, and F. I. Arreguin-Cortes. 2012. “Modeling of Drinking Water Distribution Networks Using Stochastic Demand.” Water Resources Management 26 (7): 1779–1792. doi: 10.1007/s11269-012-9979-2
   Web of Science ®Google Scholar
• Alvisi, S., N. Ansaloni, and M. Franchini. 2014. “Generation of Synthetic Water Demand Time Series at Different Temporal and Spatial Aggregation Levels.” Urban Water Journal 11 (4): 297–310. doi: 10.1080/1573062X.2013.801499
   Web of Science ®Google Scholar
• Alvisi, S., M. Franchini, and A. Marinelli. 2003. “A Stochastic Model for Representing Drinking Water Demand at Residential Level.” Water Resources Management 17 (3): 197–222. doi: 10.1023/A:1024100518186
   Web of Science ®Google Scholar
• Ansaloni, N., S. Alvisi, and M. Franchini. 2013. “Generation of Synthetic Cross-Correlated Water Demand Time Series.” Water Science and Technology: Water Supply 13 (4): 977–986.
   Web of Science ®Google Scholar
• Blokker, E. J. M., H. Beverloo, A. J. Vogelar, J. H. G. Vreeburg, and J. C. van Dijk. 2011. “A Bottom-Up Approach of Stochastic Demand Allocation in a Hydraulic Network Model: A Sensitivity Study of Model Parameters.” Journal of Hydroinformatics 13 (4): 714–728. doi: 10.2166/hydro.2011.067
   Web of Science ®Google Scholar
• Blokker, E. J. M., S. G. Buchberger, J. H. G. Vreeburg, and J. C. van Dijk. 2008. “Importance of Demand Modelling in Network Water Quality Models.” Drinking Water Engineering Sciences 1: 27–38. doi: 10.5194/dwes-1-27-2008
   Google Scholar
• Blokker, E. J. M., J. H. G. Vreeburg, and J. C. van Dijk. 2010. “Simulating Residential Water Demand with a Stochastic End-Use Model.” Journal of Water Resources Planning and Management 136 (1): 375–382. doi: 10.1061/(ASCE)WR.1943-5452.0000002
   Web of Science ®Google Scholar
• Bras, R. L., and I. Rodríguez-Iturbe. 1993. Random Functions and Hydrology. New York: Dover Publications.
   Google Scholar
• Buchberger, S. G., Z. Li, and V. G. Tzatchkov. 2003. “Hydraulic Characterization of Pipe Network Subject to Stochastic Water Demands.” In Water Resources Management II, edited by C. A Brebbia, 161–170. Southampton: Wessex Institute of Technology.
   Google Scholar
• Buchberger, S. G., and G. J. Wells. 1996. “Intensity, Duration and Frequency of Residential Water Demands.” Journal of Water Resources Planning and Management 122 (1): 11–19. doi: 10.1061/(ASCE)0733-9496(1996)122:1(11)
   Web of Science ®Google Scholar
• Buchberger, S. G., and L. Wu. 1995. “Model for Instantaneous Residential Water Demands.” Journal of Hydraulic Engineering 121 (3): 232–246. doi: 10.1061/(ASCE)0733-9429(1995)121:3(232)
   Web of Science ®Google Scholar
• Deidda, R. 2000. “Rainfall Downscaling in a Space-Time Multifractal Framework.” Water Resources Research 36 (7): 1779–1794. doi: 10.1029/2000WR900038
   Web of Science ®Google Scholar
• Deidda, R., M. G. Badas, and E. Piga. 2004. “Space-Time Scaling in High-Intensity Tropical Ocean Global Atmosphere Coupled Ocean-Atmosphere Response Experiment (TOGA-COARE) Storms.” Water Resources Research 40: W02506. doi: 10.1029/2003WR002574
   Google Scholar
• Filion, Y. R., B. Adams, and B. Karney. 2005. “Stochasticity of Demand and Probabilistic Performance of Water Networks, Impacts of Global Climate Change.” ASCE, Proceedings of the World Water and Environmental Resources Congress, Restom, VA, USA.
   Google Scholar
• Filion, Y. R., B. Adams, and B. Karney. 2007. “Cross Correlation of Demands in Water Distribution Network Design.” Journal of Water Resources Planning and Management 133 (2): 137–144. doi: 10.1061/(ASCE)0733-9496(2007)133:2(137)
   Web of Science ®Google Scholar
• García, V. J., R. García-Bartual, E. Cabrera, F. Arregui, and J. García-Serra. 2004. “Stochastic Model to Evaluate Residential Water Demands.” Journal of Water Resources Planning and Management 130 (5): 386–394. doi: 10.1061/(ASCE)0733-9496(2004)130:5(386)
   Web of Science ®Google Scholar
• Grygier, J. C., and J. R. Stedinger. 1988. “Condensed Disaggregation Procedures and Conservation Corrections for Stochastic Hydrology.” Water Resources Research 24 (10): 1574–1584. doi: 10.1029/WR024i010p01574
   Web of Science ®Google Scholar
• Guercio R., Magini R., Pallavicini I. (2001). “Instantaneous Residential Water Demand as Stochastic Point Process.” In Water Resources Management, edited by. C.A. Brebbia, 129–138. Southampton: WIT Press.
   Google Scholar
• Hoshi, K., and J. Burges. 1979. “Disaggregation of Streamflow Volumes.” Journal of the Hydraulics Division – ASCE 105 (1): 27–41.
   Google Scholar
• Koutsoyiannis, D., and A. Manetas. 1996. “Simple Disaggregation by Accurate Adjusting Procedures.” Water Resources Research 32 (7): 2105–2117. doi: 10.1029/96WR00488
   Web of Science ®Google Scholar
• Kumar, D. N., U. Lall, and M. R. Petersen. 2000. “Multisite Disaggregation of Monthly to Daily Streamflow.” Water Resources Research 36 (7): 1823–1833. doi: 10.1029/2000WR900049
   Web of Science ®Google Scholar
• Lall, U., and A. Sharma. 1996. “A Nearest Neighbour Bootstrap for Resampling Hydrologic Time Series.” Water Resources Research 32: 679–693. doi: 10.1029/95WR02966
   Web of Science ®Google Scholar
• Lee T. (2008). Stochastic Simulation of Hydrologic Data Based on Non-Parametric Approaches. Fort Collins: Colorado State University.
   Google Scholar
• Lee, T., J. D. Salas, and J. Prairie. 2010. “An Enhanced Nonparametric Streamflow Disaggregation Model with Genetic Algorithm.” Water Resources Research 46: W08529. doi: 10.1029/2009WR008306
   Google Scholar
• Mejia, J.M., and J. Rousselle. 1976. “Disaggregation Models in Hydrology Revisited.” Water Resources Research 12 (2): 185–186. doi: 10.1029/WR012i002p00185
   Web of Science ®Google Scholar
• Murray, M. G., and P. M. Murray. 2005. “WatSup Model: A High Resolution Water Supply Modelling System.” Journal of Hydroinformatics 7 (2): 79–89.
   Web of Science ®Google Scholar
• Nowak, K., J. Prairie, B Rajagopalan, and U. Lall. 2010. “A Nonparametric Stochastic Approach for Multisite Disaggregation of Annual to Daily Streamflow.” Water Resources Research 46: W08529. doi: 10.1029/2009WR008312
   Google Scholar
• Onibon, H., T. Lebel, A. Afouda, and G. Guillot. 2004. “Gibbs Sampling for Conditional Spatial Disaggregation of Rain Fields.” Water Resources Research, 40 (8): W08401. doi: 10.1029/2003WR002009
   Google Scholar
• Pereira, M. V. F., G. C. Oliveira, C. C. G. Costa, and J. Kelman. 1984. “Stochastic Streamflow Models for Hydroelectric Systems.” Water Resources Research 20 (3): 379–390. doi: 10.1029/WR020i003p00379
   Web of Science ®Google Scholar
• Prairie, J., B. Rajagopalan, U. Lall, and T. Fulp. 2007. “A Stochastic Nonparametric Technique for Space Time Disaggregation of Streamflow.” Water Resources Research 43: W03432. doi:10.1029/2005WR004721.
   Google Scholar
• Santos, E. G., and J. D. Salas. 1992. “Stepwise Disaggregation Scheme for Synthetic hydrology.” Journal of Hydraulic Engineering – ASCE 118: 765–784. doi: 10.1061/(ASCE)0733-9429(1992)118:5(765)
   Web of Science ®Google Scholar
• Stedinger, J. R., and R. Vogel. 1984. “Disaggregation Procedures for Generating Serially Correlated Flow Vectors.” Water Resources Research 20 (1): 47–56. doi: 10.1029/WR020i001p00047
   Web of Science ®Google Scholar
• Tarboton, D.G., A. Sharma, and U. Lall. 1998. “Disaggregation Procedures for Stochastic Hydrology Based on Nonparametric Density Estimation.” Water Resources Research 34 (1): 107–119. doi: 10.1029/97WR02429
   Web of Science ®Google Scholar
• Todini, E. 1980. “The Preservation of Skewness in Linear Disaggregation Schemes.” Journal of Hydrology 47: 199–214. doi: 10.1016/0022-1694(80)90093-1
   Web of Science ®Google Scholar
• Valencia, D. R., and J. C. Schaake. 1973. “Disaggregation Processes in Stochastic Hydrology.” Water Resources Research 9 (3): 580–585. doi: 10.1029/WR009i003p00580
   Web of Science ®Google Scholar
• Wallis, J. R., N. Matalas, and J. R. Slack. 1974. “Just a Moment!” Water Resources Research 10 (2): 211–219. doi: 10.1029/WR010i002p00211
   Google Scholar
• Walski, M., D. Chase, D. Savic, W. Grayman, S. Beckwith, and E. Koelle. 2003. Advanced Water Distribution Modeling and Management. Waterbury, CT: Haestad Press.
   Google Scholar