### Abstract

It is essential to select the optimal pressure gauge location for effective management and maintenance ofwater distribution systems. This study proposes an objective and quantified standard for selecting the optimal pressure gauge location by defining the pressure change at other nodes as a result of demand change at a specific node using entropy theory. Two cases are considered in terms of demand change: that in which demand at all nodes shows peak load by using a peak factor and that comprising the demand change of the normal distribution whose average is the base demand. The actual pressure change pattern is determined by using the emitter function of EPANET to reflect the pressure that changes practically at each node. The optimal pressure gauge location is determined by prioritizing the node that processes the largest amount of information it gives to (giving entropy) and receives from (receiving entropy) the whole system according to the entropy standard. The suggested model is applied to one virtual and one real pipe network, and the optimal pressure gauge location combination is calculated by implementing the sensitivity analysis based on the study results. These analysis results support the following two conclusions. Firstly, the installation priority of the pressure gauge in water distribution networks can be determined with a more objective standard through the entropy theory. Secondly, the model can be used as an efficient decision-making guide for gauge installation in water distribution systems.

Original language | English |
---|---|

Pages (from-to) | 7309-7322 |

Number of pages | 14 |

Journal | Environmental Monitoring and Assessment |

Volume | 184 |

Issue number | 12 |

DOIs | |

Publication status | Published - 2012 Dec 1 |

### Fingerprint

### Keywords

- Entropy theory
- Giving entropy
- Optimal pressure gauge location
- Receiving entropy. Sensitivity analysis
- Water distribution system

### ASJC Scopus subject areas

- Environmental Science(all)
- Management, Monitoring, Policy and Law
- Pollution

### Cite this

*Environmental Monitoring and Assessment*,

*184*(12), 7309-7322. https://doi.org/10.1007/s10661-011-2500-1

**Optimization of pressure gauge locations for water distribution systems using entropy theory.** / Do, Guen Yoo; Chang, Dong Eil; Jun, Hwandon; Kim, Joong Hoon.

Research output: Contribution to journal › Article

*Environmental Monitoring and Assessment*, vol. 184, no. 12, pp. 7309-7322. https://doi.org/10.1007/s10661-011-2500-1

}

TY - JOUR

T1 - Optimization of pressure gauge locations for water distribution systems using entropy theory

AU - Do, Guen Yoo

AU - Chang, Dong Eil

AU - Jun, Hwandon

AU - Kim, Joong Hoon

PY - 2012/12/1

Y1 - 2012/12/1

N2 - It is essential to select the optimal pressure gauge location for effective management and maintenance ofwater distribution systems. This study proposes an objective and quantified standard for selecting the optimal pressure gauge location by defining the pressure change at other nodes as a result of demand change at a specific node using entropy theory. Two cases are considered in terms of demand change: that in which demand at all nodes shows peak load by using a peak factor and that comprising the demand change of the normal distribution whose average is the base demand. The actual pressure change pattern is determined by using the emitter function of EPANET to reflect the pressure that changes practically at each node. The optimal pressure gauge location is determined by prioritizing the node that processes the largest amount of information it gives to (giving entropy) and receives from (receiving entropy) the whole system according to the entropy standard. The suggested model is applied to one virtual and one real pipe network, and the optimal pressure gauge location combination is calculated by implementing the sensitivity analysis based on the study results. These analysis results support the following two conclusions. Firstly, the installation priority of the pressure gauge in water distribution networks can be determined with a more objective standard through the entropy theory. Secondly, the model can be used as an efficient decision-making guide for gauge installation in water distribution systems.

AB - It is essential to select the optimal pressure gauge location for effective management and maintenance ofwater distribution systems. This study proposes an objective and quantified standard for selecting the optimal pressure gauge location by defining the pressure change at other nodes as a result of demand change at a specific node using entropy theory. Two cases are considered in terms of demand change: that in which demand at all nodes shows peak load by using a peak factor and that comprising the demand change of the normal distribution whose average is the base demand. The actual pressure change pattern is determined by using the emitter function of EPANET to reflect the pressure that changes practically at each node. The optimal pressure gauge location is determined by prioritizing the node that processes the largest amount of information it gives to (giving entropy) and receives from (receiving entropy) the whole system according to the entropy standard. The suggested model is applied to one virtual and one real pipe network, and the optimal pressure gauge location combination is calculated by implementing the sensitivity analysis based on the study results. These analysis results support the following two conclusions. Firstly, the installation priority of the pressure gauge in water distribution networks can be determined with a more objective standard through the entropy theory. Secondly, the model can be used as an efficient decision-making guide for gauge installation in water distribution systems.

KW - Entropy theory

KW - Giving entropy

KW - Optimal pressure gauge location

KW - Receiving entropy. Sensitivity analysis

KW - Water distribution system

UR - http://www.scopus.com/inward/record.url?scp=84871717200&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871717200&partnerID=8YFLogxK

U2 - 10.1007/s10661-011-2500-1

DO - 10.1007/s10661-011-2500-1

M3 - Article

C2 - 22258740

AN - SCOPUS:84871717200

VL - 184

SP - 7309

EP - 7322

JO - Environmental Monitoring and Assessment

JF - Environmental Monitoring and Assessment

SN - 0167-6369

IS - 12

ER -