A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model

Ayse Sayin; Mehmet Tahir Sandikkaya

doi:10.1109/UBMK59864.2023.10286674

A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model

Ayse Sayin, Mehmet Tahir Sandikkaya

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study proposes irregularity finding and reasoning scenario for water quality management in rivers. Foreseeing the circumstances of pollutant in a river network is a challenging task. In this study, pollutant screening and water quality management processes are inhanced by integrating collected data into a generic river model. River and their upstream/downstream relations are abstracted as a binary tree to allow generic and automatized computations. The proposed solution is put into practice on Ergene basin. The data collected from Ergene river network is used and the irregularities in the river are interpreted. The interpreted irregularities overlap with the results that are declared by the experts.

Original language	English
Title of host publication	UBMK 2023 - Proceedings
Subtitle of host publication	8th International Conference on Computer Science and Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	324-329
Number of pages	6
ISBN (Electronic)	9798350340815
DOIs	https://doi.org/10.1109/UBMK59864.2023.10286674
Publication status	Published - 2023
Event	8th International Conference on Computer Science and Engineering, UBMK 2023 - Burdur, Turkey Duration: 13 Sept 2023 → 15 Sept 2023

Publication series

Name	UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering

Conference

Conference	8th International Conference on Computer Science and Engineering, UBMK 2023
Country/Territory	Turkey
City	Burdur
Period	13/09/23 → 15/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

decision support
irregularity finding
water quality management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/UBMK59864.2023.10286674

Cite this

Sayin, A., & Sandikkaya, M. T. (2023). A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model. In UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering (pp. 324-329). (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK59864.2023.10286674

Sayin, Ayse ; Sandikkaya, Mehmet Tahir. / A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model. UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 324-329 (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering).

@inproceedings{bf8a90e8525a463c8ed20430db84e023,

title = "A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model",

abstract = "This study proposes irregularity finding and reasoning scenario for water quality management in rivers. Foreseeing the circumstances of pollutant in a river network is a challenging task. In this study, pollutant screening and water quality management processes are inhanced by integrating collected data into a generic river model. River and their upstream/downstream relations are abstracted as a binary tree to allow generic and automatized computations. The proposed solution is put into practice on Ergene basin. The data collected from Ergene river network is used and the irregularities in the river are interpreted. The interpreted irregularities overlap with the results that are declared by the experts.",

keywords = "decision support, irregularity finding, water quality management",

author = "Ayse Sayin and Sandikkaya, {Mehmet Tahir}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th International Conference on Computer Science and Engineering, UBMK 2023 ; Conference date: 13-09-2023 Through 15-09-2023",

year = "2023",

doi = "10.1109/UBMK59864.2023.10286674",

language = "English",

series = "UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "324--329",

booktitle = "UBMK 2023 - Proceedings",

address = "United States",

}

Sayin, A & Sandikkaya, MT 2023, A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model. in UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 324-329, 8th International Conference on Computer Science and Engineering, UBMK 2023, Burdur, Turkey, 13/09/23. https://doi.org/10.1109/UBMK59864.2023.10286674

A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model. / Sayin, Ayse; Sandikkaya, Mehmet Tahir.
UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2023. p. 324-329 (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model

AU - Sayin, Ayse

AU - Sandikkaya, Mehmet Tahir

PY - 2023

Y1 - 2023

N2 - This study proposes irregularity finding and reasoning scenario for water quality management in rivers. Foreseeing the circumstances of pollutant in a river network is a challenging task. In this study, pollutant screening and water quality management processes are inhanced by integrating collected data into a generic river model. River and their upstream/downstream relations are abstracted as a binary tree to allow generic and automatized computations. The proposed solution is put into practice on Ergene basin. The data collected from Ergene river network is used and the irregularities in the river are interpreted. The interpreted irregularities overlap with the results that are declared by the experts.

AB - This study proposes irregularity finding and reasoning scenario for water quality management in rivers. Foreseeing the circumstances of pollutant in a river network is a challenging task. In this study, pollutant screening and water quality management processes are inhanced by integrating collected data into a generic river model. River and their upstream/downstream relations are abstracted as a binary tree to allow generic and automatized computations. The proposed solution is put into practice on Ergene basin. The data collected from Ergene river network is used and the irregularities in the river are interpreted. The interpreted irregularities overlap with the results that are declared by the experts.

KW - decision support

KW - irregularity finding

KW - water quality management

UR - http://www.scopus.com/inward/record.url?scp=85177599460&partnerID=8YFLogxK

U2 - 10.1109/UBMK59864.2023.10286674

DO - 10.1109/UBMK59864.2023.10286674

M3 - Conference contribution

AN - SCOPUS:85177599460

T3 - UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering

SP - 324

EP - 329

BT - UBMK 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Computer Science and Engineering, UBMK 2023

Y2 - 13 September 2023 through 15 September 2023

ER -

Sayin A, Sandikkaya MT. A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model. In UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc. 2023. p. 324-329. (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering). doi: 10.1109/UBMK59864.2023.10286674

A Reasoning Method to Interpret Fate of Pollutants on a Cyber-Physical River Model

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this