Applying AQUATOX for the ecological risk assessment coastal of Black Sea at small industries around Samsun, Turkey


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Simsek A., Kucuk K., Bakan G.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, cilt.16, sa.9, ss.5229-5236, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 9
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1007/s13762-019-02251-4
  • Dergi Adı: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.5229-5236
  • Anahtar Kelimeler: AQUATOX, Black Sea, Ecological risk assessment, Modeling, MODEL, CONTAMINATION, RIVERS
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

The Black Sea receives uncontrolled and irregular fresh water for the production of thermal and hydro energy and the use of coastal areas. Transportation, untreated domestic, industrial and agricultural wastes, fall out into rivers or directly into the sea. In order to discuss and assess further pollution loads and possible management techniques for the coastal pollution problems of Black Sea, different mathematical modeling techniques can be used. Mathematical models are also useful tools to save time and money, as well as to help solve ecological problems more easily and to select an appropriate management alternative for sustainable management. AQUATOX is one of the affinity models for aquatic ecosystems. AQUATOX seeks to determine the fate of various pollutants, such as nutrients and organic chemicals, and their impact on the ecosystem, including fish, invertebrates and aquatic plants. In this study, samples collected from five different points in the organized industrial zone in Samsun province in August and December 2017. pH, conductivity, dissolved oxygen, chemical oxygen demand, total organic carbon, total-N, total-P were carried out in water samples. The model was run for dissolved oxygen, total phosphorus and total nitrogen from the measured parameters, and the results were evaluated by adding to program inputs. The model was run to determine the contribution of contamination in aquatic ecosystems to the assessment of ecological risk. The models are thought to be an essential structure for ecosystems to determine their ecological protection levels.