Dergiler / Yenilikçi Mühendislik ve Doğa Bilimleri / 2021 / Cilt: 1 Sayı: 1

Modeling water quality parameters in the surface waters of Samanlı and Safran Rivers, Turkey

Sayfa
61–84
Yayın Tarihi
2021-07-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Additionally, it was determined that the models work well especially for the samples collected from fresh water.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate).
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Temel Bulgular & Veri:As a result, it was determined that the linear models predicted the value of parameters for next 8 months.
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Sonuç & Katkı:Additionally, it was determined that the models work well especially for the samples collected from fresh water.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Surface water · Water pollution · Physicochemical properties

Abstract

In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate). The sampling from five station located on the Samanlı and Safran Rivers was performed for fiftythree weeks. Linear and nonlinear Models were applied by the aid of Matlab, Microsoft Excel programs and Multiple Linear Regression Model. The predictions were performed for the samples collected from other points beyond the rivers, and it was shown that the model predicts well the parameters with low error. As a result, it was determined that the linear models predicted the value of parameters for next 8 months. Nonlinear models predict well at least eight months values. Additionally, it was determined that the models work well especially for the samples collected from fresh water.

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Bu Makaleye Atıf Yap

OZAN, F., KANMAZ, N., KOÇAL, O., YÜCESOY, F. J. H. (2021). Modeling water quality parameters in the surface waters of Samanlı and Safran Rivers, Turkey. Yenilikçi Mühendislik ve Doğa Bilimleri, Cilt: 1 Sayı: 1, 61–84. https://ajindex.com/articles/978709

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Kaynakça (12)

  1. Singh KP, Malik A, S. Sinha S (2005) Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques - A case study. Anal Chim Acta 538:355–374. https://doi.org/10.1016/j.aca.2005.02.006
  2. Shrestha S, Kazama F (2007) Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environ Model Softw 22:464–475. https://doi.org/10.1016/j.envsoft.2006.02.001
  3. Singh KP, Malik A, Mohan D, Sinha S (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India) - A case study. Water Res 38: 3980–3992. https://doi.org/10.1016/j.watres.2004.06.011
  4. Nguyen TH, Helm B, Hettiarachchi H, Caucci S, Krebs P (2019) The selection of design methods for river water quality monitoring networks: a review. Environ Earth Sci 78:1–17. https://doi.org/10.1007/s12665-019-8110-x
  5. Villas-boas MD, Olivera F, De Azevedo JPS (2017) Assessment of the water quality monitoring network of the Piabanha River experimental watersheds in Rio de Janeiro, Brazil, using autoassociative neural networks. Environ Monit Assess 189: 439. https://doi.org/10.1007/s10661-017-6134-9
  6. Mccaffrey S (2012) Water quality parameters & indicator. https://sswm.info/node/4300 Accessed 15 June 2021
  7. Yang G, Moyer DL (2020) Estimation of nonlinear water-quality trends in high-frequency monitoring data. Sci Total Environ 715:136686. https://doi.org/10.1016/j.scitotenv.2020.136686
  8. Juntunen P, Liukkonen M, Pelo M, Lehtola MJ, Hiltunen Y (2012) Modelling of water quality: an application to a water treatment process. Appl Comput Intell Soft Comput 2012:1–9. https://doi.org/10.1155/2012/846321
  9. Maqbool F, Malik AH, Bhatti ZA, Pervez A, Suleman M (2012) Application of regression model on stream water quality parameters. Pakistan J Agric Sci vol. 49:95–100
  10. El-Korashey R (2009) Using regression analysis to estimate water quality constituents in Bahr El Baqar drain. J Appl Sci Res 5:1067–1076
  11. Mustapha A, Abdu A (2012) Application of principal component analysis & multiple regression models in surface water quality assessment. J Environ Earth Sci 2:16–23
  12. Majeed SAAD, Saleh LAM, Aswed GK (2018) Modeling the water quality index and climate variables using an artificial neural network and non-linear regression. Int J Eng Technol 7:1346–1350. https://doi.org/10.14419/ijet.v7i3.9519 Yalova Çevre ve Şehircilik İl Müdürlüğü (2016) Yalova İli 2015