An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section
In this work, 13 pollution indices in 10 stations of the Struma river in the Bulgarian section are investigated: temperature (T°C), pH, dissolved oxygen (DO), oxygen saturation (SO2), electrical conductivity (EC), biological oxygen demand (BOD), permanganate oxidation (KMn3O4), ammonia nitrogen (NH3...
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| Format: | Article |
| Language: | English |
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Sciendo
2023-12-01
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| Series: | Ekológia (Bratislava) |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/eko-2023-0036 |
| _version_ | 1797368805768298496 |
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| author | Petrov Mitko Mladenov |
| author_facet | Petrov Mitko Mladenov |
| author_sort | Petrov Mitko Mladenov |
| collection | DOAJ |
| description | In this work, 13 pollution indices in 10 stations of the Struma river in the Bulgarian section are investigated: temperature (T°C), pH, dissolved oxygen (DO), oxygen saturation (SO2), electrical conductivity (EC), biological oxygen demand (BOD), permanganate oxidation (KMn3O4), ammonia nitrogen (NH3-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), orthophosphates (PO4), dissolved substances (DS), and unsolved substances (US). The analysis and assessment of the studied indices of pollution of the Struma river in the Bulgarian section is carried out by means of a recently proposed multi-criteria decision-making method called intercriteria decision analysis (ICDA). Application of ICDA showed that we have a degree of agreement for T°C for all stations with very few exceptions. This also applies to DO, KMn3O4, SO2 and EC. We had a degree of disagreement for all other indices. From the conducted research, it can be concluded that for all indicators, it is necessary to develop mathematical models in the studied stations according to the studied indicators of the Struma river in Bulgaria. The application of ICDA allows us to examine the correlations between individual indicators and eliminate those that are highly dependent on each other. |
| first_indexed | 2024-03-08T17:38:02Z |
| format | Article |
| id | doaj.art-8170b1f44021425ba567caff2e9b619b |
| institution | Directory Open Access Journal |
| issn | 1337-947X |
| language | English |
| last_indexed | 2024-03-08T17:38:02Z |
| publishDate | 2023-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Ekológia (Bratislava) |
| spelling | doaj.art-8170b1f44021425ba567caff2e9b619b2024-01-02T11:35:02ZengSciendoEkológia (Bratislava)1337-947X2023-12-0142432733210.2478/eko-2023-0036An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian SectionPetrov Mitko Mladenov01Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, 105 Acad. George Bonchev St., BulgariaIn this work, 13 pollution indices in 10 stations of the Struma river in the Bulgarian section are investigated: temperature (T°C), pH, dissolved oxygen (DO), oxygen saturation (SO2), electrical conductivity (EC), biological oxygen demand (BOD), permanganate oxidation (KMn3O4), ammonia nitrogen (NH3-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), orthophosphates (PO4), dissolved substances (DS), and unsolved substances (US). The analysis and assessment of the studied indices of pollution of the Struma river in the Bulgarian section is carried out by means of a recently proposed multi-criteria decision-making method called intercriteria decision analysis (ICDA). Application of ICDA showed that we have a degree of agreement for T°C for all stations with very few exceptions. This also applies to DO, KMn3O4, SO2 and EC. We had a degree of disagreement for all other indices. From the conducted research, it can be concluded that for all indicators, it is necessary to develop mathematical models in the studied stations according to the studied indicators of the Struma river in Bulgaria. The application of ICDA allows us to examine the correlations between individual indicators and eliminate those that are highly dependent on each other.https://doi.org/10.2478/eko-2023-0036intercriteria decision analysisindex matricesintuitionistic fuzzy index matrixintuitionistic fuzzy setsintuitionistic fuzzy pairs |
| spellingShingle | Petrov Mitko Mladenov An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section Ekológia (Bratislava) intercriteria decision analysis index matrices intuitionistic fuzzy index matrix intuitionistic fuzzy sets intuitionistic fuzzy pairs |
| title | An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section |
| title_full | An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section |
| title_fullStr | An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section |
| title_full_unstemmed | An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section |
| title_short | An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section |
| title_sort | approach for analysis and assessment of the pollution indices of the struma river in the bulgarian section |
| topic | intercriteria decision analysis index matrices intuitionistic fuzzy index matrix intuitionistic fuzzy sets intuitionistic fuzzy pairs |
| url | https://doi.org/10.2478/eko-2023-0036 |
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