Kurtboğazı Baraj Gölünün Mavi-Yeşil Alg Cyanobacteria Biyomasının Tahminine Yönelik Modeller

Abstract

Bu çal ışmada, Kurtboğ az ı baraj gölünün yaz aylar ı ndaki mavi-yeşil alg biyomas ı n ı n tahminine yönelik iki çoklu regresyon modeli oluşturulmuştur. Alg biyomas ı ; toplam mavi-yeşil alg biyomas ı , oransal mavi-ye şil alg biyomas ı ve mavi-yeşil alg indeksi olarak hesaplanm ışt ı r. Modellerde, toplam fosfor, toplam inorganik azot ve Secchi derinli ği bağı ms ı z değiş ken olarak kullan ı lm ışt ı r. Toplam mavi-yeş il alg biyomas ı ve mavi-ye şil alg indeksi modellerine ait isabet dereceleri R' s ı ras ı yla %92 ve %74 olarak bulunmuştur.

Keywords

• Mavi-yeşil alg
• biyomas
• baraj gölü
• model

Models for the Prediction of Blue-Green Algal Cyanobacteria Biomass of Kurtboğazı Reservoir

Abstract

In this study, two multiple regression models were determined for the prediction of blue-green algal biomass in summer months of Kurtboğ az ı reservoir. Algal biomass was calculated as total blue-green algal biomass, relative blue-green algal biomass and blue-green algae index. Total phosphorus, total inorganic nitrogen and Secchi depth were used as independent variables in models. The determination coefficients R' of models were found as 92% and 74% for total blue-green algal biomass and blue-green algae index, respectively.

Keywords

• Blue-green algae
• biomass
• reservoir
• model

References

1. Anonim, 1987. TS 5091 Suyun analiz metodlan-Bulan ı klı k tayini. s.1-8.
2. Anonim, 1996. Türkiye'deki Barajlar ve Hidroelektrik Santraller. DSİ bas ı m ı , s.1-40, Ankara.
3. APHA, 1975. Standard Methods for the Examination of Water and Wastewater. 14thed. John D. Lucas Co., 1193 p., U.S.A.
4. Aykulu, G. ve O. Obal ı , 1981. Phytoplankton biomass in Kurtboğaz ı Dam Lake. Comm. de la Fac. Sci. d'Ank. Serie C2.24, 29-45.
5. Bakan, A. N., 1997. Ankara'ya Su Sa ğlayan Kurtboğ az ı ve Çaml ı dere Baraj Golleri ile İ vedik Su Ar ı t ı m Tesisinde Plankton Kompozisyonun Karşı laşt ı rmal ı Olarak incelenmesi. Ankara Üniv. Fen Bilimleri Ens. Doktora Tezi. s.1-112.
6. Demir, N., H. Çamdeviren, S. Keskin, 1999. Prediction of chlorophyll a in Kurtboğ az ı and Çaml ı dere reservoirs. Ankara Üniv. Ziraat Fak. Tar ı m Bilimleri Dergisi. 5(1), 66-70.
7. Draper, N. R. and H. Smith, 1980. Appiied Regression Analysis. Univ. of Wisconsin, p.1-710, USA.
8. Earle, J. C., H. J. Duthie and D. A. Scruton, 1987. Factors influencing the distribution of phytoplankton in 97 headwater lakes in insular Newfoundland. Can. J. Fish. Aquat. Sci. 44, 639-649.

9. Fraser, P. C. and D. O. Trew, 1990. A Compendium of Limnological Data for 23 Lakes in the Beaver River Watershed. Environmental Quality Monitoring Branch. Environmental Protection Services. p.1-201, Edmonton.
10. Geitler, L., 1925. Cyanophyceae, Heft 12. In: A. Pascher, Die Süsswasser Flora Mitteleuropas. Verlag von Gustav Fisher, p. 1-481, Jena.
11. H ube r-P esta lozz i, G., 1938. Das P hytopla nkton d es Süsswassers, 2. Teil. Diatomeen In: A. Thienemann, Bie Binnengewasser, E. Schweizbart' sche Verlagsbuchhandlung , p. 1-549, Stuttgart.
12. Kenefick, S. L. , Hrudey, S. E. , E. E. Prepas, Motkosky and H. G. Peterson, 1992. Odorous substances and Cyanobacterial toxins in Prairie drinking water sources. Wat. Sci. Tech. 25(2), 147-154.
13. Kotak, B. G., S. L. Kenefick, D. V. Fritz, C.G. Rousseaux, E. E. Prepas and S. E. Hrudey, 1993. Occurence and toxicological evaluation of Cyanobacterial sources in Alberta lakes and farm dugouts. Wat. Res. 27(3), 495-506.
14. Lund, J. W. G., C. Kipling and E. D. Le Cren, 1958. The inverted microscope method for estimating algal numbers and statistical basis of estimations by counting. Hydrobiologia, 11,143-170.
15. McQueen, D. J. and D. R. S. Lean, 1987. Influence of water temperature and nitrogen phosphorus ratios on the dominance of blue-green algae in lake St. George, Ontario.
16. Can. J. Fish. Aquat. Sci., 44, 598-604. Pellander, A., I. Ojanpera, K. Sivonen, K. Himberg, M. Waris, K.
17. Niinivaara, E. Vuori, 1996. Screening for Cyanobacterial toxins in bloom and strain samples by thin layer chromatography. Wat. Res. 30(6), 1464-1470.
18. Prescott, G. W., 1973. Algae of the Western Great Lakes Area, 5th ed., WM.0 Brown Co. Publ. P. 1-977, Dubuque.
19. Pulatsü, S., H. Çamdeviren ve E. Başp ı nar, 1997. Mogan gölünde (Ankara) klorofil-a konsantrasyonunun tahmininde çoklu regresyon ve Path analizi kullan ı m ı . Ankara Only. Ziraat Fak. Tar ı m Bilimleri Dergisi. 3(2), 65-68.
20. Rott, E., 1981. Some results from phytoplankton counting intercalibrations. Schweiz. Z. Hydrol. 43 (1), 34-59.
21. Smith, V. H., 1986. Light and nutrient effects on the relative biomass of blue-green algae in the phytoplankton. Can. J. Fish. Aquat. Sci., 43,148-153.
22. Starmach, K., 1966. Cyanophyta. Flora Slodkowodna Polski, p:1- 807,Warszawa.
23. Trimbee, A. M. and E. E. Prepas, 1987. Evaluation of total phosphorus as a predictor of the relative biomass of bluegreen algae with an Emphasis on Alberta lakes. Can. J. Fish. Aquat. Sci., 44, 1337-1347.
24. Varis, O., 1993. Cyanobacteria dynamics in a restored Finnish lake : a long term stimulation study. Hydrobiologia, 268, 129-145.
25. Vezie, C., L. Brient, K. Sivonen, G. Bertru, J. C. Lefeuvre and M. Salkinoja-Sabnan, 1997. Occurence of microcystin containing Cyanobacterial blooms in freshwaters of Brittany (France). Arch. Hydrobiol. 139(3), 401-413.
26. Zhang, Y. and E. E. Prepas, 1996. Short term effect of Ca(OH)2 additions on phytoplankton biomass: a comparison of laboratory and in situ experiments. Wat. Res. 30(5), 1285- 1294.