PMID- 26445758
OWN - NLM
STAT- MEDLINE
DCOM- 20151027
LR  - 20151008
VI  - 56
IP  - 1
DP  - 2014 Jan
TI  - An Approach to Demand Pattern Estimation: Monte Carlo Simulation and Fractal 
      Analysis.
PG  - 65-72
AB  - Day to day activities of urban population in normal routine conditions are 
      largely affected by the operation of the urban water supply system. In addition, 
      the working hours, pattern of shift duties and living standards in a society 
      decide the quantum of water use at different times in a day. This demand pattern 
      is an important parameter for water supply agencies in order to ensure safe and 
      reliable water supply. In the present study, short-term (hourly and daily) water 
      demand is estimated for drinking as well as various other household activities. 
      BIS standard of 135 lpcd and socioeconomic survey data are considered as the 
      basis to derive a time series distribution of water consumption for different 
      activities. Monte Carlo simulation (MCS) is performed to generate the random 
      distribution of consumption pattern. The hourly water consumption for various 
      activities shows persistent behavior with Hurst coefficient in the range of 0.592 
      to 0.837 and the peak flow factor of the estimated demand pattern is 5. This 
      pattern is useful as a basis for design of service reservoir as well as pump 
      scheduling. It is also an important parameter in the model study in performance 
      assessment of water distribution system (WDS).
FAU - Mohapatra, Sanjeeb
AU  - Mohapatra S
FAU - Sargaonkar, Aabha
AU  - Sargaonkar A
LA  - eng
PT  - Journal Article
PL  - India
TA  - J Environ Sci Eng
JT  - Journal of environmental science & engineering
JID - 101273917
SB  - IM
MH  - Fractals
MH  - India
MH  - Models, Theoretical
MH  - Monte Carlo Method
MH  - Water Supply/*analysis/statistics & numerical data
EDAT- 2014/01/01 00:00
MHDA- 2015/10/28 06:00
CRDT- 2015/10/09 06:00
PHST- 2015/10/09 06:00 [entrez]
PHST- 2014/01/01 00:00 [pubmed]
PHST- 2015/10/28 06:00 [medline]
PST - ppublish
SO  - J Environ Sci Eng. 2014 Jan;56(1):65-72.