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Year 2018, Volume: 14 Issue: 1, 65 - 75, 30.03.2018
https://doi.org/10.18466/cbayarfbe.356774

Abstract

References

  • 1. Kurunc, A.; Yurekli, K.; Okman, C. Effects of Kilickaya dam on concentration and load values of water quality constituents in Kelkit stream in Turkey. Journal of Hydrology 2006, 317, 17-30.
  • 2. Vega, M.; Pardo, R.; Barrado, E.; Deban, L. Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research 1998, 32, 3581–3592.
  • 3. Reisenhofer, E.; Adami, G.; Barbieri, P. Using chemical and physical parameters to define the quality of karstic freshwaters (Timavo River, North-eastern Italy): a chemometric approach. Water Research 1998, 32, 1193–1203.
  • 4. Ahmad, S.; Khan, I.H.; Parida, B.P. Performance of stochastic approaches for forecasting river water quality. Water Research 2001, 35, 4261-4266.
  • 5. Huang, W.; Foo, S. Neural network modeling of salinity variation in Apalachicola River. Water Research 2002, 36, 356–362.
  • 6. Duran, M.; Demirer, G.N. Su Arıtımında Temel İşlemler (Unit Operations of Water Treatment); TMMOB Chamber of Environmental Engineers: Ankara, Turkey, 1997.
  • 7. Tuncay, H. Su Kalitesi (Quality of water); Ege University Faculty of Agriculture Publications, 512: Izmir,Turkey, 1994.
  • 8. Ministry of Forestry and Water Works (MoFW). Yerüstü Su Kalitesi Yönetimi Yönetmeliği (Surface Water Quality Management Regulations); Republic of Turkey Ministry of Forestry and Water Works: Ankara, Turkey, 2012.
  • 9. Chapman, D. (Editor) Water Quality Assessment; Chapman & Hall, London, 1992.
  • 10. Sârbu, C.; Pop, H.F. Principal component analysis versus fuzzy principal component analysis A case study: the quality of danube water (1985–1996). Talanta 2005, 65, 1215-1220.
  • 11. Johnson, R.A., Wichern, D.W. (Editors) Applied Multivariate Statistical Analysis (Third Edition), Prentice Hall International, New Jersey, 1992.
  • 12. Petersen, W.; Bertino, L.; Callies, U.; Zorita, E. Process identification by principal component analysis of river water-quality data. Ecological Modelling 2001, 138, 193-213.
  • 13. Antonopoulos, V.Z.; Papamichail, D.M.; Mitsiou, K.A. Statistical and trend analysis of water quality and quantity data for the Strymon River in Greece. Hydrology and Earth System Sciences 2001, 5, 679-691.
  • 14. Mellinger, M. Multivariate data analysis: Its methods. Chemometrics and Intelligent Laboratory Systems, 1987, 2, 29-36.
  • 15. Farnham, I.M.; Singh, A.K.; Stetzenbach, K.J.; Johnnesson, K.H. 2002. Treatment of nondetects in multivariate analysis of groundwater geochemistry data. Chemometrics and Intelligent Laboratory Systems, 2002, 60, 265–281.
  • 16. Simeonov, V.; Stratis, J.A.; Samara, C.; Zachariadis, G.; Voutsa, D.; Anthemidis, A.; Sofoniou, M.; Kouimtzis, T.H. Assessment of the surface water quality in Northern Greece. Water Research 2003, 37, 4119-4124.
  • 17. Ouyang, Y. Evaluation of river water quality monitoring stations by principal component analysis. Water Research 2005, 39, 2621-2635.
  • 18. General Directorate of State Hydraulic Works (DSI) Akım Yıllıkları (Runoff Annual). General Directorate of State Hydraulic Works, Ankara, 2000.
  • 19. Ministry of Environment and Urbanisation. Manisa İli 2015 Yılı Çevre Durum Raporu (Manisa Province Environmental Report 2015). Ministry of Environment and Urbanisation: 2016, Manisa. Turkey.
  • 20. Johnson, D.E. (Editor). Applied Multivariate Methods for Data Analysis. Duxbury Press, Pacific Grove, Kansas, 1998.

Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin

Year 2018, Volume: 14 Issue: 1, 65 - 75, 30.03.2018
https://doi.org/10.18466/cbayarfbe.356774

Abstract

The water quality needs to be monitored at regular intervals, throughout
representatively located gauging stations, for sustainable development of water
resources. However, it is not possible to monitor all quality parameters all
the time and points for a river basin studied, and water quality monitoring
that does not address specific, clear and realistic objectives will cause time,
labor and money losses. At this point, Principal Component Analysis (PCA) would
provide a regional insight into principal pollutants, contaminants dominates
others and effective monitoring locations. It will help to evaluate surface
water quality in regional scale as well as monitoring network. This study aims
to analyze regional water quality and monitoring network in the Gediz River
Basin, by focusing on the variance structure of the observations on principal
pollutants that observed throughout the river basin. The 11 quality parameters
monitored in 13 monitoring stations on the Gediz River Basin were used in the
analyses. PCA is applied i) to determine principal pollutants and contaminants
dominate over others (parameter-based analysis), ii) to find out effective
monitoring locations for principal pollutants (station based analysis). The
results reveal the tributaries of the river with different quality
characteristics, and the importance of an objective based monitoring for
effective water quality management.

References

  • 1. Kurunc, A.; Yurekli, K.; Okman, C. Effects of Kilickaya dam on concentration and load values of water quality constituents in Kelkit stream in Turkey. Journal of Hydrology 2006, 317, 17-30.
  • 2. Vega, M.; Pardo, R.; Barrado, E.; Deban, L. Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research 1998, 32, 3581–3592.
  • 3. Reisenhofer, E.; Adami, G.; Barbieri, P. Using chemical and physical parameters to define the quality of karstic freshwaters (Timavo River, North-eastern Italy): a chemometric approach. Water Research 1998, 32, 1193–1203.
  • 4. Ahmad, S.; Khan, I.H.; Parida, B.P. Performance of stochastic approaches for forecasting river water quality. Water Research 2001, 35, 4261-4266.
  • 5. Huang, W.; Foo, S. Neural network modeling of salinity variation in Apalachicola River. Water Research 2002, 36, 356–362.
  • 6. Duran, M.; Demirer, G.N. Su Arıtımında Temel İşlemler (Unit Operations of Water Treatment); TMMOB Chamber of Environmental Engineers: Ankara, Turkey, 1997.
  • 7. Tuncay, H. Su Kalitesi (Quality of water); Ege University Faculty of Agriculture Publications, 512: Izmir,Turkey, 1994.
  • 8. Ministry of Forestry and Water Works (MoFW). Yerüstü Su Kalitesi Yönetimi Yönetmeliği (Surface Water Quality Management Regulations); Republic of Turkey Ministry of Forestry and Water Works: Ankara, Turkey, 2012.
  • 9. Chapman, D. (Editor) Water Quality Assessment; Chapman & Hall, London, 1992.
  • 10. Sârbu, C.; Pop, H.F. Principal component analysis versus fuzzy principal component analysis A case study: the quality of danube water (1985–1996). Talanta 2005, 65, 1215-1220.
  • 11. Johnson, R.A., Wichern, D.W. (Editors) Applied Multivariate Statistical Analysis (Third Edition), Prentice Hall International, New Jersey, 1992.
  • 12. Petersen, W.; Bertino, L.; Callies, U.; Zorita, E. Process identification by principal component analysis of river water-quality data. Ecological Modelling 2001, 138, 193-213.
  • 13. Antonopoulos, V.Z.; Papamichail, D.M.; Mitsiou, K.A. Statistical and trend analysis of water quality and quantity data for the Strymon River in Greece. Hydrology and Earth System Sciences 2001, 5, 679-691.
  • 14. Mellinger, M. Multivariate data analysis: Its methods. Chemometrics and Intelligent Laboratory Systems, 1987, 2, 29-36.
  • 15. Farnham, I.M.; Singh, A.K.; Stetzenbach, K.J.; Johnnesson, K.H. 2002. Treatment of nondetects in multivariate analysis of groundwater geochemistry data. Chemometrics and Intelligent Laboratory Systems, 2002, 60, 265–281.
  • 16. Simeonov, V.; Stratis, J.A.; Samara, C.; Zachariadis, G.; Voutsa, D.; Anthemidis, A.; Sofoniou, M.; Kouimtzis, T.H. Assessment of the surface water quality in Northern Greece. Water Research 2003, 37, 4119-4124.
  • 17. Ouyang, Y. Evaluation of river water quality monitoring stations by principal component analysis. Water Research 2005, 39, 2621-2635.
  • 18. General Directorate of State Hydraulic Works (DSI) Akım Yıllıkları (Runoff Annual). General Directorate of State Hydraulic Works, Ankara, 2000.
  • 19. Ministry of Environment and Urbanisation. Manisa İli 2015 Yılı Çevre Durum Raporu (Manisa Province Environmental Report 2015). Ministry of Environment and Urbanisation: 2016, Manisa. Turkey.
  • 20. Johnson, D.E. (Editor). Applied Multivariate Methods for Data Analysis. Duxbury Press, Pacific Grove, Kansas, 1998.
There are 20 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Barış Yılmaz

Ceyhun Özçelik

Publication Date March 30, 2018
Published in Issue Year 2018 Volume: 14 Issue: 1

Cite

APA Yılmaz, B., & Özçelik, C. (2018). Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 14(1), 65-75. https://doi.org/10.18466/cbayarfbe.356774
AMA Yılmaz B, Özçelik C. Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin. CBUJOS. March 2018;14(1):65-75. doi:10.18466/cbayarfbe.356774
Chicago Yılmaz, Barış, and Ceyhun Özçelik. “Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A Case of Gediz River Basin”. Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14, no. 1 (March 2018): 65-75. https://doi.org/10.18466/cbayarfbe.356774.
EndNote Yılmaz B, Özçelik C (March 1, 2018) Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin. Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14 1 65–75.
IEEE B. Yılmaz and C. Özçelik, “Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin”, CBUJOS, vol. 14, no. 1, pp. 65–75, 2018, doi: 10.18466/cbayarfbe.356774.
ISNAD Yılmaz, Barış - Özçelik, Ceyhun. “Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A Case of Gediz River Basin”. Celal Bayar Üniversitesi Fen Bilimleri Dergisi 14/1 (March 2018), 65-75. https://doi.org/10.18466/cbayarfbe.356774.
JAMA Yılmaz B, Özçelik C. Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin. CBUJOS. 2018;14:65–75.
MLA Yılmaz, Barış and Ceyhun Özçelik. “Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A Case of Gediz River Basin”. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, vol. 14, no. 1, 2018, pp. 65-75, doi:10.18466/cbayarfbe.356774.
Vancouver Yılmaz B, Özçelik C. Evaluation of Water Quality Monitoring Networks Using Principal Component Analysis: A case of Gediz River Basin. CBUJOS. 2018;14(1):65-7.