Entropy Based Regional Precipitation Prediction in the Case of Gediz River Basin

Özgür BOZOĞLU; Türkay BARAN; Filiz BARBAROS

doi:https://doi.org/10.18400/tekderg.724164

Article Details

Entropy Based Regional Precipitation Prediction in the Case of Gediz River Basin

Authors:

Özgür BOZOĞLU | Türkay BARAN | Filiz BARBAROS

Publisher:

TMMOB İnşaat Mühendisleri Odası

Main Topics:

Civil engineering

Journal:

Teknik Dergi 2022 Vol.33 Issue 4, pp.12067-12085

Document Type:

Article

Publication Date:

6/2022

Document Language:

English

Document ID (Org No.):

2000648166

Frequency:

Bimonthly

pISSN:

1300-3453

DOI:

https://doi.org/10.18400/tekderg.724164

Abstract:

 

The Shannon’s entropy concept is defined to measure the information content of hydrological processes in hydrology and water resources. Entropy concept has also provided an opportunity to solve several related topics in water resources engineering. The presented study aims to define the regional distribution of the expected long-term annual total precipitation, by using the entropy concept. For this purpose, the frequency analysis of the observed long-term total monthly precipitation data for each station is analyzed, and entropy values are calculated using the frequency histogram called " Intensity Entropy – IE". By using the IE values, it is possible to define the regional information of long-term expected precipitation even if the gauging stations have different observation periods without missing any information of available data. In addition, there is no need to complete the data of the missing observation years (months) to define the precipitation-elevation relations for producing an isometric map. In regional analysis, it is possible to create isoentropy map, by using the determined IE values for each gauging station. The IE method is performed and isoentropy map is created for Gediz Basin as a case study, and the a priori conditions of using IE method results for regional information are discussed in the paper.

 

The Shannon’s entropy concept is defined to measure the information content of hydrological processes in hydrology and water resources. Entropy concept has also provided an opportunity to solve several related topics in water resources engineering. The presented study aims to define the regional distribution of the expected long-term annual total precipitation, by using the entropy concept. For this purpose, the frequency analysis of the observed long-term total monthly precipitation data for each station is analyzed, and entropy values are calculated using the frequency histogram called " Intensity Entropy – IE". By using the IE values, it is possible to define the regional information of long-term expected precipitation even if the gauging stations have different observation periods without missing any information of available data. In addition, there is no need to complete the data of the missing observation years (months) to define the precipitation-elevation relations for producing an isometric map. In regional analysis, it is possible to create isoentropy map, by using the determined IE values for each gauging station. The IE method is performed and isoentropy map is created for Gediz Basin as a case study, and the a priori conditions of using IE method results for regional information are discussed in the paper.

Article Details

Entropy Based Regional Precipitation Prediction in the Case of Gediz River Basin

Authors: Özgür BOZOĞLU | Türkay BARAN | Filiz BARBAROS

Publisher: TMMOB İnşaat Mühendisleri Odası

Main Topics: Civil engineering

Journal: Teknik Dergi 2022 Vol.33 Issue 4, pp.12067-12085

Document Type: Article

Publication Date: 6/2022

Document Language: English

Document ID (Org No.): 2000648166

Frequency: Bimonthly

pISSN: 1300-3453

DOI: https://doi.org/10.18400/tekderg.724164

Issues

Authors:

Özgür BOZOĞLU | Türkay BARAN | Filiz BARBAROS

Publisher:

TMMOB İnşaat Mühendisleri Odası

Main Topics:

Civil engineering

Journal:

Teknik Dergi 2022 Vol.33 Issue 4, pp.12067-12085

Document Type:

Article

Publication Date:

6/2022

Document Language:

English

Document ID (Org No.):

2000648166

Frequency:

Bimonthly

pISSN:

1300-3453

DOI:

https://doi.org/10.18400/tekderg.724164