Generation of synthetic water demand time series at different temporal and spatial aggregation levels

Urban Water Journal

Volumn 11, Issue 4, 2014, Pages 297-310

  Alvisi, S ^a   Ansaloni, N ^a   Franchini, M ^a  

^a UNIVERSITY OF FERRARA   (Italy)

Author keywords

residential water demand; spatial temporal aggregation; time series

Indexed keywords

COVARIANCE ANALYSIS; SPATIAL ANALYSIS; TEMPORAL ANALYSIS; TIME SERIES; WATER DEMAND;

MILFORD [OHIO]; OHIO; UNITED STATES;

EID: 84890800618     PISSN: 1573062X     EISSN: 17449006     Source Type: Journal    
DOI: 10.1080/1573062X.2013.801499     Document Type: Article

References (22)

1. Alcocer, V.H., Buchberger, S.G., and Tzatchkov, V., 2006. Instantaneous water demand parameter estimation from coarse meter readings. In: ASCE, Proceeding of 8th Annual International Symposium on Water Distribution Systems Analysis, 27-30 August 2006. Cincinnati, OH: University of Cincinnati, available on cd-rom.
2. Alvisi, S., Franchini, M., and Marinelli, A., 2003. A stochastic model for representing drinking water demand at residential level. Water Resources Management, 17 (3), 197-222.
3. Babayan, A., Kapelan, Z., Savic, D., and Walters, G., 2005. Least-cost design of water distribution networks under demand uncertainty. Journal of Water Resources Planning and Management, 131 (5), 19-26.
4. Blokker, E.J.M., Buchberger, S.G., Vreeburg, J.H.G., and van Dijk, J.C., 2008. Importance of demand modelling in network water quality models. Drinking Water Engineering Sciences, 1, 27-38.
5. Blokker, E.J.M., Vreeburg, J.H.G., and van Dijk, J.C., 2010. Simulating residential water demand with a stochastic end-use model. Journal of Water Resources Planning and Management, 136 (1), 375-382.
6. Buchberger, S.G. and Wu, L., 1995. Model for instantaneous residential water demands. Journal of Hydraulic Engineering, 121 (3), 232-246.
7. Buchberger, S.G. and Wells, G.J., 1996. Intensity, duration and frequency of residential water demands. Journal of Water Resources Planning and Management, 122 (1), 11-19.
8. Buchberger, S.G., Carter, J.T., Lee, Y., and Schade, T.G., 2003. Random demands, travel times, and water quality in deadends, subject area: high-quality water. Rep. 90963F. Denver, CO: AwwaRF.
9. Filion, Y.R., Karney, B.W., Moughton, L., Buchberger, S.G., and Adams, B.J., 2006. Cross correlation analysis of residential demand in the city of Milford, Ohio. In: Proceeding of 8th Annual International Symposium on Water Distribution Systems Analysis, 27-30 August 2006. Cincinnati, OH: University of Cincinnati, available on cd-rom.
10. Filion, Y.R., Adams, B., and Karney, B., 2007. Cross correlation of demands in water distribution network design. Journal of Water Resources Planning and Management, 133 (2), 137-144.
11. García, V.J., García-Bartual, R., Cabrera, E., Arregui, F., and García-Serra, J., 2004. Stochastic model to evaluate residential water demands. Journal of Water Resources Planning and Management, 130 (5), 386-394.
12. Guercio, R., Magini, R., and Pallavicini, I., 2001. Instantaneous residential water demand as stochastic point process. In: C.A. Brebbia, et al., eds. Water resources management. Southampton, UK: WIT Press, 129-138.
13. Iman, R.L. and Conover, W.J., 1982. A distribution-free approach to inducing rank correlation among input variables. Communication in Statistics, 11, 311-334.
14. Jaeckel, P. and Rebonato, R., 2000. The most general methodology for creating a valid correlation matrix for risk management and option pricing purposes. Journal of Risk, 2 (2), 17-27.
15. Kapelan, Z.S., Savic, D.A., and Walters, G.A., 2005. Multiobjective design of water distribution systems under uncertainty. Water Resources Research, 41, W11407, 10.1029/2004WR003787.
16. Kottegoda, N.T. and Rosso, R., 1998. Statistic, probability and reliability for civil and environmental engineers. New York: McGraw-Hill.
17. Moughton, L.J., Buchberger, S.G., Boccelli, D.L., Filion, Y.R., and Karney, B.W., 2006. Effect of time step and data aggregation on cross correlation of residential demands. In: ASCE, Proceeding of 8th Annual International Symposium on Water Distribution Systems Analysis, 27-30 August 2006.Cincinnati, OH: University of Cincinnati, available on cd-rom.
18. Murray, M.G. and Murray, P.M., 2005. WatSup model: a high resolution water supply modeling system. Journal of Hydroinformatics, 7 (2), 79-89.
19. Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models 1: a discussion of principles. Journal of Hydrology, 10 (3), 282-290.
20. Nilsson, K.A., Buchberger, S.G., and Clark, R.M., 2005. Simulating exposures to deliberate intrusions into water distribution systems. Journal of Water Resources Planning and Management, 131 (3), 228-236.
21. Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T., 1990. Numerical recipes: the art of scientific computing. New York: Cambridge University Press.
22. Walski, M., Chase, D., Savic, D., Grayman, W., Beckwith, S., and Koelle, E., 2003. Advanced water distribution modeling and management. Waterbury, CT: Haestad Press.