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 | |
| 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.
Funding
This work was supported by the CHIST-ERA grant CHIST-ERA-19-CES-005, by TUBITAK under grant id 12120N679.0N679.
| Funders | Funder number |
|---|---|
| Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | 12120N679.0N679 |
Keywords
- decision support
- irregularity finding
- water quality management
