Considering the mutual dependence of pulse duration and intensity in models for generating residential water demand

Journal of Water Resources Planning and Management

Volumn 141, Issue 11, 2015, Pages

  Creaco, E ^a   Farmani, R ^a   Kapelan, Z ^a   Vamvakeridou Lyroudia, L ^a   Savic, D ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Correlation; Residential water demand; Stochastic process; Time series

Indexed keywords

CORRELATION METHODS; NORMAL DISTRIBUTION; POISSON DISTRIBUTION; RANDOM PROCESSES; STOCHASTIC SYSTEMS; TIME SERIES;

BIVARIATE NORMAL DISTRIBUTIONS; DEPENDENT VARIABLES; HIGH TEMPORAL RESOLUTION; INDEPENDENT RANDOM VARIABLES; MUTUAL DEPENDENCES; PULSE INTENSITY; RESIDENTIAL WATER DEMAND; SYNTHETIC WATERS;

HOUSING;

CORRELATION; NUMERICAL MODEL; STOCHASTICITY; TIME SERIES ANALYSIS; WATER DEMAND; WATER MANAGEMENT;

EID: 84941043508     PISSN: 07339496     EISSN: 19435452     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000557     Document Type: Article

References (23)

1. Alcocer-Yamanaka, V. H., Tzatchkov, V., and Buchberger, S. G. (2006). "Instantaneous water demand parameter estimation from coarse meter readings". Proc., Water Distribution Systems Analysis Symp. 2006, ASCE, Reston, VA, 1-14.
2. Alcocer-Yamanaka, V. H., and Tzatchkov, V. G. (2012). "Modeling of drinking water distribution networks using stochastic demand". Water Resour. Manage., 26(7), 1779-1792.
3. Alvisi, S., Ansaloni, N., and Franchini, M. (2014). "Generation of synthetic water demand time series at different temporal and spatial aggregation levels". Urban Water J., 11(4), 297-310.
4. Alvisi, S., Franchini, M., and Marinelli, A. (2003). "A stochastic model for representing drinking water demand at residential level". Water Resour. Manage., 17(3), 197-222.
5. Blokker, E. J. M., Buchberger, S. G., Vreeburg, J. H. G., and van Dijk, J. C. (2009). "Comparison of water demand models: PRP and SIMDEUM applied to Milford, Ohio, data". Proc., Water Distribution Systems Analysis 2008, ASCE, Reston, VA, 1-14.
6. Blokker, E. J. M., Vreeburg, J. H. G., and van Dijk, J. C. (2010). "Simulating residential water demand with a stochastic end-use model". J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000002, 19-26.
7. Box, G. E. P., and Muller, M. E. (1958). "A note on the generation of random normal deviates". Ann. Math. Stat., 29(2), 610-611.
8. Buchberger, S. G., Carter, J. T., Lee, Y. H., and Schade, T. G. (2003). "Random demands, travel times and water quality in dead-ends". AWWARF Rep. No. 294, American Water Works Association Research Foundation, Denver.
9. Buchberger, S. G., and Wells, G. J. (1996). "Intensity, duration and frequency of residential water demands". J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(1996)122:1(11), 11-19.
10. Buchberger, S. G., and Wu, L. (1995). "Model for instantaneous residential water demands". J. Hydraul. Eng., 10.1061/(ASCE)0733-9429(1995)121:3(232), 232-246.
11. Filion, Y. R., Adams, B., and Karney, B. (2007). "Cross correlation of demands inwater distribution network design". J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(2007)133:2(137), 137-144.
12. García, V. J., García-Bartual, R., Cabrera, E., Arregui, F., and García-Serra, J. (2004). "Stochastic model to evaluate residential water demands". J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(2004)130:5(386), 386-394.
13. Gentle, J. E. (2009). Computational statistics, Springer, New York.
14. Greenwood, P. E., and Nikulin, M. S. (1996). A guide to chi-squared testing, Wiley, New York.
15. Guercio, R., Magini, R., and Pallavicini, I. (2001). "Instantaneous residential water demand as stochastic point process". Water resources management, C. A. Brebbia, et al., eds., WIT, Southampton, U.K., 129-138.
16. Hall, A. R. (2004). "Generalized method of moments". Advanced texts in econometrics, Oxford University Press, Oxford, U.K.
17. Hamedani, G. G., and Tata, M. N. (1975). "On the determination of the bivariate normal distribution from distributions of linear combinations of the variables". Am. Math. Mon., 82(9), 913-915.
18. Hazewinkel, M., ed. (2001). "Cholesky factorization". Encyclopedia of mathematics, Springer, Berlin.
19. Johnson, R. A., and Bhattacharyya, G. K. (1992). Statistics: Principles and methods, 2nd Ed., Wiley, Hoboken, NJ.
20. Magini, R., Pallavicini, I., and Guercio, R. (2008). "Spatial and temporal scaling properties of water demand". J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(2008)134:3(276), 276-284.
21. Murray, M. G., and Murray, P. M. (2005). "WatSup model: A high resolution water supply modelling system". J. Hydroinf., 7(2), 79-89.
22. Walski, M., Chase, D., Savic, D., Grayman, W., Beckwith, S., and Koelle, E. (2003). Advanced water distribution modelling and management, Haestad, Waterbury, CT.
23. Weathington, B. L., Cunningham, C. J. L., and Pittenger, D. J. (2012). Understanding business research, Wiley, Hoboken, NJ.