Publication detail

Uncertainty Impact on Water Management Analysis of Open Water Reservoir

MARTON, D. PASEKA, S.

Original Title

Uncertainty Impact on Water Management Analysis of Open Water Reservoir

Type

journal article in Web of Science

Language

English

Original Abstract

The aim of this paper is to use a methodology to introduce uncertainty of hydrological and operational input data into mathematical models needed for the design and operation of reservoirs. The application of uncertainty to input data is calculated, with the reservoir volume being affected by these uncertainties. The values of outflows from the reservoir and hydrological reliability are equally affected. The simulation model of the reservoir behavior was used, which allows to evaluate the results of solutions and helps to reduce, for example, the cost of dam construction, the risk of poor design of reservoir volumes, future operational risk of failures and reduce water shortages during the operation of water reservoirs. The practical application is carried out on the water management analysis of a reservoir in the Czech Republic. It was found that uncertainty of storage volume with 100% reliability achieved ±4% to ±6% values and the subsequent reliability uncertainty is in the value interval of ±0.2% to ±0.3%.

Keywords

uncertainty; open water reservoir; Monte Carlo; reservoir simulation model; reliability; storage volume; reservoir design

Authors

MARTON, D.; PASEKA, S.

Released

4. 2. 2017

Publisher

MDPI AG

Location

St. Alban-Anlage 66, 4052 Basel, Switzerland

ISBN

2076-3298

Periodical

Environments

Year of study

4

Number

1

State

Swiss Confederation

Pages from

1

Pages to

14

Pages count

14

URL

Full text in the Digital Library

BibTex

@article{BUT132795,
  author="Daniel {Marton} and Stanislav {Paseka}",
  title="Uncertainty Impact on Water Management Analysis of Open Water Reservoir",
  journal="Environments",
  year="2017",
  volume="4",
  number="1",
  pages="1--14",
  doi="10.3390/environments4010010",
  issn="2076-3298",
  url="http://www.mdpi.com/2076-3298/4/1/10"
}