메뉴 건너뛰기




Volumn 140, Issue 2, 2014, Pages 146-159

Urban water demand forecasting: Review of methods and models

Author keywords

Decision making; Forecasting; Time series; Uncertainty; Urban water demand

Indexed keywords

DECISION-MAKING PROBLEM; DEMAND FORECAST; ECONOMETRIC MODEL; PROBABILISTIC FORECASTING; SHORT-TERM FORECASTING; STRATEGIC DECISIONS; UNCERTAINTY; URBAN WATERS;

EID: 84892846694     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000314     Document Type: Article
Times cited : (337)

References (53)
  • 1
    • 77956838672 scopus 로고    scopus 로고
    • Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: Evaluation of different ANN learning algorithms
    • 10.1061/(ASCE)HE.1943-5584.0000245
    • Adamowski, J., and Karapataki, C. (2010). "Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: Evaluation of different ANN learning algorithms." J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0000245, 729-743.
    • (2010) J. Hydrol. Eng. , pp. 729-743
    • Adamowski, J.1    Karapataki, C.2
  • 2
    • 45349104955 scopus 로고    scopus 로고
    • Freshwater consumption in Kuwait: Analysis and forecasting
    • Alhumoud, J. (2008). "Freshwater consumption in Kuwait: Analysis and forecasting." J. Water Supply: Res. Technol.-AQUA, 57(4), 279-288.
    • (2008) J. Water Supply: Res. Technol.-AQUA , vol.57 , Issue.4 , pp. 279-288
    • Alhumoud, J.1
  • 3
    • 27744524615 scopus 로고    scopus 로고
    • Water consumption prediction of Istanbul city by using fuzzy logic approach
    • Altunkaynak, A., özger, M., and çakmakc, M. (2005). "Water consumption prediction of Istanbul city by using fuzzy logic approach." Water Resour. Manage., 19(5), 641-654.
    • (2005) Water Resour. Manage. , vol.19 , Issue.5 , pp. 641-654
    • Altunkaynak, A.1    Özger, M.2    Çakmakc, M.3
  • 4
    • 33847082820 scopus 로고    scopus 로고
    • A short-term, patternbased model for water-demand forecasting
    • Alvisi, S., Franchini, M., and Marinelli, A. (2007). "A short-term, patternbased model for water-demand forecasting." J. Hydroinf., 9(1), 39-50.
    • (2007) J. Hydroinf. , vol.9 , Issue.1 , pp. 39-50
    • Alvisi, S.1    Franchini, M.2    Marinelli, A.3
  • 5
    • 4444237780 scopus 로고    scopus 로고
    • Short-term forecasting for urban water consumption
    • 10.1061/(ASCE) 0733-9496(2004)(405)
    • Aly, A., and Wanakule, N. (2004). "Short-term forecasting for urban water consumption." J. Water Resour. Plann. Manage., 10.1061/(ASCE) 0733-9496(2004)130:5(405), 405-410.
    • (2004) J. Water Resour. Plann. Manage. , vol.130 , Issue.5 , pp. 405-410
    • Aly, A.1    Wanakule, N.2
  • 6
    • 0037345446 scopus 로고    scopus 로고
    • Estimation of residential water demand: A state-of-the-art review
    • Arbués, F., Garcia-Valiñas, M. á., and Martinez-Espiñeira, R. (2003). "Estimation of residential water demand: A state-of-the-art review." J. Soc. Econ., 32(1), 81-102.
    • (2003) J. Soc. Econ. , vol.32 , Issue.1 , pp. 81-102
    • Arbués, F.1    Garcia-Valiñas, M.á.2    Martinez-Espiñeira, R.3
  • 7
    • 0003627432 scopus 로고    scopus 로고
    • Forecasting urban water demand
    • 2nd Ed., American Waterworks Association, Denver, CO.
    • Billings, B., and Jones, C. (2008). Forecasting urban water demand, 2nd Ed., American Waterworks Association, Denver, CO.
    • (2008)
    • Billings, B.1    Jones, C.2
  • 8
    • 13644268763 scopus 로고    scopus 로고
    • Short-term municipal water demand forecasting
    • Bougadis, J., Adamowski, K., and Diduch, R. (2005). "Short-term municipal water demand forecasting." Hydrolog. Process., 19(1), 137-148.
    • (2005) Hydrolog. Process. , vol.19 , Issue.1 , pp. 137-148
    • Bougadis, J.1    Adamowski, K.2    Diduch, R.3
  • 9
    • 0009953494 scopus 로고
    • Estimating trend and growth rates in seasonal time series
    • Box, G. E. P., Pierce, D. A., and Newbold, P. (1987). "Estimating trend and growth rates in seasonal time series." J. Am. Stat. Assoc., 82(397), 276-282.
    • (1987) J. Am. Stat. Assoc. , vol.82 , Issue.397 , pp. 276-282
    • Box, G.E.P.1    Pierce, D.A.2    Newbold, P.3
  • 10
    • 0036803464 scopus 로고    scopus 로고
    • Suburban water demand modeling using stepwise regression
    • Brekke, L., Larsen, M., Ausburn, M., and Takaichi, L. (2002). "Suburban water demand modeling using stepwise regression." J. Am. Water Works Assoc., 94(10), 65-75.
    • (2002) J. Am. Water Works Assoc. , vol.94 , Issue.10 , pp. 65-75
    • Brekke, L.1    Larsen, M.2    Ausburn, M.3    Takaichi, L.4
  • 12
    • 77950622616 scopus 로고    scopus 로고
    • Performance of combined double seasonal univariate time series models for forecasting water demand
    • 10.1061/(ASCE)HE.1943-5584.0000182
    • Caiado, J. (2010). "Performance of combined double seasonal univariate time series models for forecasting water demand." J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0000182, 215-222.
    • (2010) J. Hydrol. Eng. , pp. 215-222
    • Caiado, J.1
  • 13
    • 45249128876 scopus 로고
    • Combining forecasts: A review and annotated bibliography
    • Clemen, R. (1989). "Combining forecasts: A review and annotated bibliography." Int. J. Forecasting, 5(4), 559-583.
    • (1989) Int. J. Forecasting , vol.5 , Issue.4 , pp. 559-583
    • Clemen, R.1
  • 14
    • 84870253993 scopus 로고    scopus 로고
    • North America residential water usage trends since 1992
    • Water Research Foundation, Denver.
    • Coomes, P., Rockaway, T., Rivard, J., and Kornstein, B. (2010). North America residential water usage trends since 1992, Water Research Foundation, Denver.
    • (2010)
    • Coomes, P.1    Rockaway, T.2    Rivard, J.3    Kornstein, B.4
  • 15
    • 41149106828 scopus 로고    scopus 로고
    • Probabilistic prediction of urban water consumption using the SCEMUA algorithm
    • Cutore, P., Campisano, A., Kapelan, Z., Modica, C., and Savic, D. (2008). "Probabilistic prediction of urban water consumption using the SCEMUA algorithm." Urban Water J., 5(2), 125-132.
    • (2008) Urban Water J. , vol.5 , Issue.2 , pp. 125-132
    • Cutore, P.1    Campisano, A.2    Kapelan, Z.3    Modica, C.4    Savic, D.5
  • 16
    • 33845700193 scopus 로고    scopus 로고
    • Assessing the impacts of south-to-north water transfer project with decision support systems
    • Feng, S., Li, L., Duan, Z., and Zhang, J. (2007). "Assessing the impacts of south-to-north water transfer project with decision support systems." Decis. Support Syst., 42(4), 1989-2003.
    • (2007) Decis. Support Syst. , vol.42 , Issue.4 , pp. 1989-2003
    • Feng, S.1    Li, L.2    Duan, Z.3    Zhang, J.4
  • 17
    • 60849104783 scopus 로고    scopus 로고
    • Evaluation of artificial neural network techniques for municipal water consumption modeling
    • Firat, M., Yurdusev, M., and Turan, M. (2009). "Evaluation of artificial neural network techniques for municipal water consumption modeling." Water Resour. Manage., 23(4), 617-632.
    • (2009) Water Resour. Manage. , vol.23 , Issue.4 , pp. 617-632
    • Firat, M.1    Yurdusev, M.2    Turan, M.3
  • 18
    • 67349284061 scopus 로고    scopus 로고
    • Understanding errors in EIA projections of energy demand
    • Fischer, C., Herrnstadt, E., and Morgenstern, R. (2009). "Understanding errors in EIA projections of energy demand." Resour. Energy Econ., 31(3), 198-209.
    • (2009) Resour. Energy Econ. , vol.31 , Issue.3 , pp. 198-209
    • Fischer, C.1    Herrnstadt, E.2    Morgenstern, R.3
  • 19
    • 0035558191 scopus 로고    scopus 로고
    • Decision-support system for domestic water demand forecasting and management
    • Froukh, M. (2001). "Decision-support system for domestic water demand forecasting and management." Water Resour. Manage., 15(6), 363-382.
    • (2001) Water Resour. Manage. , vol.15 , Issue.6 , pp. 363-382
    • Froukh, M.1
  • 20
    • 84892845390 scopus 로고
    • Water demand forecasting
    • 1st Ed., Spon Press, Norwich, U.K.
    • Gardiner, V., and Herrington, P. (1990). Water demand forecasting, 1st Ed., Spon Press, Norwich, U.K.
    • (1990)
    • Gardiner, V.1    Herrington, P.2
  • 21
    • 33749523557 scopus 로고    scopus 로고
    • Exponential smoothing: The state of the art-part II
    • Gardner, E. (2006). "Exponential smoothing: The state of the art-part II." Int. J. Forecasting, 22(4), 637-666.
    • (2006) Int. J. Forecasting , vol.22 , Issue.4 , pp. 637-666
    • Gardner, E.1
  • 22
    • 34347377648 scopus 로고    scopus 로고
    • Forecasting residential water demand: Case study
    • 10.1061/ (ASCE)0733-9496(2007)(309)
    • Gato, S., Jayasuriya, N., and Roberts, P. (2007a). "Forecasting residential water demand: Case study." J. Water Resour. Plann. Manage., 10.1061/ (ASCE)0733-9496(2007)133:4(309), 309-319.
    • (2007) J. Water Resour. Plann. Manage. , vol.133 , Issue.4 , pp. 309-319
    • Gato, S.1    Jayasuriya, N.2    Roberts, P.3
  • 23
    • 34047256585 scopus 로고    scopus 로고
    • Temperature and rainfall thresholds for base use urban water demand modelling
    • Gato, S., Jayasuriya, N., and Roberts, P. (2007b). "Temperature and rainfall thresholds for base use urban water demand modelling." J. Hydrol., 337(3-4), 364-376.
    • (2007) J. Hydrol. , vol.337 , Issue.3-4 , pp. 364-376
    • Gato, S.1    Jayasuriya, N.2    Roberts, P.3
  • 24
    • 39549111033 scopus 로고    scopus 로고
    • Urban water demand forecasting with a dynamic artificial neural network model
    • 10.1061/(ASCE)0733-9496(2008)(138)
    • Ghiassi, M., Zimbra, D., and Saidane, H. (2008). "Urban water demand forecasting with a dynamic artificial neural network model." J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(2008)134:2 (138), 138-146.
    • (2008) J. Water Resour. Plann. Manage. , vol.134 , Issue.2 , pp. 138-146
    • Ghiassi, M.1    Zimbra, D.2    Saidane, H.3
  • 25
    • 77957320218 scopus 로고    scopus 로고
    • Modelling the impact of climate change on domestic water demand
    • Goodchild, C. (2003). "Modelling the impact of climate change on domestic water demand." Water Environ. J., 17(1), 8-12.
    • (2003) Water Environ. J. , vol.17 , Issue.1 , pp. 8-12
    • Goodchild, C.1
  • 26
    • 31344431567 scopus 로고    scopus 로고
    • Benefits of iterative water supply forecasting in the Washington, DC, metropolitan area
    • Hagen, E., Holmes, K., Kiang, J., and Steiner, R. (2005). "Benefits of iterative water supply forecasting in the Washington, DC, metropolitan area." J. Am. Water Resour. Assoc., 41(6), 1417-1430.
    • (2005) J. Am. Water Resour. Assoc. , vol.41 , Issue.6 , pp. 1417-1430
    • Hagen, E.1    Holmes, K.2    Kiang, J.3    Steiner, R.4
  • 27
    • 84892883615 scopus 로고    scopus 로고
    • The Tampa Bay water long-term demand forecasting model
    • Hazen, Sawyer and PMCL. (Jun. 04, 2012).
    • Hazen, Sawyer and PMCL. (2004). "The Tampa Bay water long-term demand forecasting model." http://www.tampabaywater.org/documents/ conservation/LongtermDemandForecastingModelJune2003.pdf (Jun. 04, 2012).
    • (2004)
  • 28
    • 78549256372 scopus 로고    scopus 로고
    • Predictive models for forecasting hourly urban water demand
    • Herrera, M., Torgo, L., Izquierdo, J., and Perez-Garcia, R. (2010). "Predictive models for forecasting hourly urban water demand." J. Hydrol., 387(1-2), 141-150.
    • (2010) J. Hydrol. , vol.387 , Issue.1-2 , pp. 141-150
    • Herrera, M.1    Torgo, L.2    Izquierdo, J.3    Perez-Garcia, R.4
  • 29
    • 13244283161 scopus 로고    scopus 로고
    • Prediction intervals for exponential smoothing using two new classes of state-space models
    • Hyndman, R., Koehler, A., Ord, J., and Snyder, R. (2005). "Prediction intervals for exponential smoothing using two new classes of state-space models." J. Forecasting, 24(1), 17-37.
    • (2005) J. Forecasting , vol.24 , Issue.1 , pp. 17-37
    • Hyndman, R.1    Koehler, A.2    Ord, J.3    Snyder, R.4
  • 30
    • 0034920919 scopus 로고    scopus 로고
    • A decision support system for drought characterization and management
    • Jain, A., and Ormsbee, L. (2001). "A decision support system for drought characterization and management." Civ. Eng. Environ. Syst., 18(2), 105-140.
    • (2001) Civ. Eng. Environ. Syst. , vol.18 , Issue.2 , pp. 105-140
    • Jain, A.1    Ormsbee, L.2
  • 31
    • 0036640826 scopus 로고    scopus 로고
    • Short-term water demand forecast modeling techniques-conventional methods versus AI
    • Jain, A., and Ormsbee, L. (2002). "Short-term water demand forecast modeling techniques-conventional methods versus AI." J. Am. Water Works Assoc., 94(7), 64-72.
    • (2002) J. Am. Water Works Assoc. , vol.94 , Issue.7 , pp. 64-72
    • Jain, A.1    Ormsbee, L.2
  • 32
    • 0035494446 scopus 로고    scopus 로고
    • Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks
    • Jain, A., Varshney, A., and Joshi, U. (2001). "Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks." Water Resour. Manage., 15(5), 299-321.
    • (2001) Water Resour. Manage. , vol.15 , Issue.5 , pp. 299-321
    • Jain, A.1    Varshney, A.2    Joshi, U.3
  • 33
    • 34547253978 scopus 로고    scopus 로고
    • Energy management strategies use short-term water consumption forecasting to minimize cost of pumping operations
    • Jentgen, L., Kidder, H., Hill, R., and Conrad, S. (2007). "Energy management strategies use short-term water consumption forecasting to minimize cost of pumping operations." J. Am. Water Works Assoc., 99(6), 86-94.
    • (2007) J. Am. Water Works Assoc. , vol.99 , Issue.6 , pp. 86-94
    • Jentgen, L.1    Kidder, H.2    Hill, R.3    Conrad, S.4
  • 34
    • 77955057425 scopus 로고    scopus 로고
    • Space-time forecasting using soft geostatistics: A case study in forecasting municipal water demand for Phoenix, Arizona
    • Lee, S.,Wentz, E., and Gober, P. (2010). "Space-time forecasting using soft geostatistics: A case study in forecasting municipal water demand for Phoenix, Arizona." Stochastic Environ. Res. Risk Assess., 24(2), 283-295.
    • (2010) Stochastic Environ. Res. Risk Assess. , vol.24 , Issue.2 , pp. 283-295
    • Lee, S.1    Wentz, E.2    Gober, P.3
  • 35
    • 33644624392 scopus 로고    scopus 로고
    • Forecasting wholesale demand and conservation savings
    • Levin, E., Maddaus, W., Sandkulla, N., and Pohl, H. (2006). "Forecasting wholesale demand and conservation savings." J. Am. Water Works Assoc., 98(2), 102-111.
    • (2006) J. Am. Water Works Assoc. , vol.98 , Issue.2 , pp. 102-111
    • Levin, E.1    Maddaus, W.2    Sandkulla, N.3    Pohl, H.4
  • 36
    • 34347374924 scopus 로고    scopus 로고
    • An estimation of residential water demand using co-integration and error correction techniques
    • Martinez-Espineira, R. (2007). "An estimation of residential water demand using co-integration and error correction techniques." J. Appl. Econ., 10(1), 161-184.
    • (2007) J. Appl. Econ. , vol.10 , Issue.1 , pp. 161-184
    • Martinez-Espineira, R.1
  • 37
    • 0025658019 scopus 로고
    • A stepwise time series regression procedure for water demand model identification
    • Miaou, S. P. (1990). "A stepwise time series regression procedure for water demand model identification." Water Resour. Res., 26(9), 1887-1897.
    • (1990) Water Resour. Res. , vol.26 , Issue.9 , pp. 1887-1897
    • Miaou, S.P.1
  • 38
    • 77957703234 scopus 로고    scopus 로고
    • Water demand forecasting in Umm Al-Quwain (UAE) using the IWR-MAIN specify forecasting model
    • Mohamed, M., and Al-Mualla, A. (2010a). "Water demand forecasting in Umm Al-Quwain (UAE) using the IWR-MAIN specify forecasting model." Water Resour. Manage., 24(14), 4093-4120.
    • (2010) Water Resour. Manage. , vol.24 , Issue.14 , pp. 4093-4120
    • Mohamed, M.1    Al-Mualla, A.2
  • 39
    • 77957774482 scopus 로고    scopus 로고
    • Water demand forecasting in Umm Al-Quwain using the constant rate model
    • Mohamed, M., and Al-Mualla, A. (2010b). "Water demand forecasting in Umm Al-Quwain using the constant rate model." Desalination, 259(1-3), 161-168.
    • (2010) Desalination , vol.259 , Issue.1-3 , pp. 161-168
    • Mohamed, M.1    Al-Mualla, A.2
  • 40
    • 46349093638 scopus 로고    scopus 로고
    • Modeling risk: Applying Monte Carlo risk simulation
    • strategic real options, stochastic forecasting, and portfolio optimization, 2nd Ed., Wiley, Hoboken, NJ.
    • Mun, J. (2010). Modeling risk: Applying Monte Carlo risk simulation, strategic real options, stochastic forecasting, and portfolio optimization, 2nd Ed., Wiley, Hoboken, NJ.
    • (2010)
    • Mun, J.1
  • 41
    • 84892883185 scopus 로고    scopus 로고
    • Case study: ADWEC uses @RISK from Palisade to forecast water demand in Abu Dhabi-Palisade
    • n.dPalisade Inc. (Jun. 4, 2012).
    • Palisade Inc. (n.d). "Case study: ADWEC uses @RISK from Palisade to forecast water demand in Abu Dhabi-Palisade." http://www.palisade .com/cases/adwec.asp (Jun. 4, 2012).
  • 42
    • 77951018423 scopus 로고    scopus 로고
    • Seasonal residential water demand forecasting for census tracts
    • 10.1061/(ASCE)WR.1943-5452.0000003
    • Polebitski, A., and Palmer, R. (2010). "Seasonal residential water demand forecasting for census tracts." J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000003, 27-36.
    • (2010) J. Water Resour. Plann. Manage. , pp. 27-36
    • Polebitski, A.1    Palmer, R.2
  • 43
    • 79955889558 scopus 로고    scopus 로고
    • Evaluating water demands under climate change and transitions in the urban environment
    • 10.1061/(ASCE)WR.1943-5452 .0000112
    • Polebitski, A., Palmer, R., and Waddell, P. (2011). "Evaluating water demands under climate change and transitions in the urban environment." J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452 .0000112, 249-257.
    • (2011) J. Water Resour. Plann. Manage. , pp. 249-257
    • Polebitski, A.1    Palmer, R.2    Waddell, P.3
  • 44
    • 0027973239 scopus 로고
    • Quantifying the credibility of energy projections from trends in past data-The United-States energy sector
    • Shlyakhter, A., Kammen, D., Broido, C., and Wilson, R. (1994). "Quantifying the credibility of energy projections from trends in past data-The United-States energy sector." Energy Policy, 22(2), 119-130.
    • (1994) Energy Policy , vol.22 , Issue.2 , pp. 119-130
    • Shlyakhter, A.1    Kammen, D.2    Broido, C.3    Wilson, R.4
  • 45
    • 0033383497 scopus 로고    scopus 로고
    • New methods of modeling water availability for agriculture under climate change: The US cornbelt
    • Strzepek, K., et al. (1999). "New methods of modeling water availability for agriculture under climate change: The US cornbelt." J. Am. Water Resour. Assoc., 35(6), 1639-1655.
    • (1999) J. Am. Water Resour. Assoc. , vol.35 , Issue.6 , pp. 1639-1655
    • Strzepek, K.1
  • 46
    • 0019612738 scopus 로고
    • Initialization of exponential smoothing forecasts
    • Taylor, S. (1981). "Initialization of exponential smoothing forecasts." AIIE Trans., 13(3), 199-205.
    • (1981) AIIE Trans. , vol.13 , Issue.3 , pp. 199-205
    • Taylor, S.1
  • 47
    • 67349098373 scopus 로고    scopus 로고
    • An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. II: Model application and results.
    • Wang, X., Sun, Y., Song, L., and Mei, C. (2009). "An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. II: Model application and results." J. Environ. Manage., 90(8), 2612-2619.
    • (2009) J. Environ. Manage. , vol.90 , Issue.8 , pp. 2612-2619
    • Wang, X.1    Sun, Y.2    Song, L.3    Mei, C.4
  • 48
    • 76649083898 scopus 로고    scopus 로고
    • Modeling and simulation of industrial water demand of Beijing municipality in China
    • Wei, S., Lei, A., and Islam, S. (2010). "Modeling and simulation of industrial water demand of Beijing municipality in China." Frontiers of environmental science and engineering in China, 4(1), 91-101.
    • (2010) Frontiers of environmental science and engineering in China , vol.4 , Issue.1 , pp. 91-101
    • Wei, S.1    Lei, A.2    Islam, S.3
  • 49
    • 0003828507 scopus 로고    scopus 로고
    • Time series analysis: Univariate and multivariate methods
    • 2nd Ed., Addison Wesley, Boston, MA.
    • Wei, W. (2005). Time series analysis: Univariate and multivariate methods, 2nd Ed., Addison Wesley, Boston, MA.
    • (2005)
    • Wei, W.1
  • 50
    • 0036874566 scopus 로고    scopus 로고
    • Domestic water demand forecasting: A static microsimulation approach
    • Williamson, P., Mitchell, G., and McDonald, A. (2002). "Domestic water demand forecasting: A static microsimulation approach." Water Environ. J., 16(4), 243-248.
    • (2002) Water Environ. J. , vol.16 , Issue.4 , pp. 243-248
    • Williamson, P.1    Mitchell, G.2    McDonald, A.3
  • 51
    • 77951609229 scopus 로고    scopus 로고
    • Urban water demand forecasting based on HP filter and fuzzy neural network
    • Wu, L., and Zhou, H. (2010). "Urban water demand forecasting based on HP filter and fuzzy neural network." J. Hydroinf., 12(2), 172-184.
    • (2010) J. Hydroinf. , vol.12 , Issue.2 , pp. 172-184
    • Wu, L.1    Zhou, H.2
  • 52
    • 0034734872 scopus 로고    scopus 로고
    • Forecasting daily urban water demand: A case study of Melbourne
    • Zhou, S., McMahon, T., Walton, A., and Lewis, J. (2000). "Forecasting daily urban water demand: A case study of Melbourne." J. Hydrol., 236(3-4), 153-164.
    • (2000) J. Hydrol. , vol.236 , Issue.3-4 , pp. 153-164
    • Zhou, S.1    McMahon, T.2    Walton, A.3    Lewis, J.4
  • 53
    • 0036499320 scopus 로고    scopus 로고
    • Forecasting operational demand for an urban water supply zone
    • Zhou, S., McMahon, T., Walton, A., and Lewis, J. (2002). "Forecasting operational demand for an urban water supply zone." J. Hydrol., 259(1-4), 189-202.
    • (2002) J. Hydrol. , vol.259 , Issue.1-4 , pp. 189-202
    • Zhou, S.1    McMahon, T.2    Walton, A.3    Lewis, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.