### Abstract

When designing a measuring network several questions must be answered. Basic properties like defining sampling interval and the exact locations for measuring sites are mostly based upon expert's judgement. In this paper a design method for measuring networks aiming at obtaining information for model calibration is proposed. This method is based upon the application of a hydrodynamic model for initial design. Based on a min-max approach for the sampling frequency, a first estimate is obtained. Based on a mathematical analysis of the model parameterization and information content of potential measuring locations it is possible to judge measuring networks objectively. Moreover, by applying some optimization technique (e.g. a genetic algorithm) an automated optimization of the measuring network is possible. The method was applied to design a monitoring network in the drainage system of Loenen. During the second half of 2001 measuring data were obtained allowing for an evaluation of the design method.

Original language | English |
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Title of host publication | Global Solutions for Urban Drainage |

Editors | E.W. Strecker, W.C. Huber, E.W. Strecker, W.C. Huber |

Pages | 1-17 |

Number of pages | 17 |

Publication status | Published - 1 Jan 2002 |

Event | Proceedings of the Ninth International Conference on: Urban Drainage - Portland, OR, United States Duration: 8 Sep 2002 → 13 Sep 2002 |

### Conference

Conference | Proceedings of the Ninth International Conference on: Urban Drainage |
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Country | United States |

City | Portland, OR |

Period | 8/09/02 → 13/09/02 |

### Keywords

- Design
- Genetic algorithm
- Model calibration
- Monitoring networks

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## Cite this

*Global Solutions for Urban Drainage*(pp. 1-17)