Novel application of a back-propagation artificial neural network model formulated to predict algal bloom

Water Science and Technology

Volumn 36, Issue 5, 1997, Pages 89-97

  Yabunaka, Ken Ichi ^a   Hosomi, Masaaki ^a   Murakami, Akihiko ^a  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

Algal bloom simulation; Artificial neural network; Back propagation method; Chlorophyll a; Freshwater lake; Phytoplankton; Water quality

Indexed keywords

PHYTOPLANKTONS;

ALGAE; AMMONIUM COMPOUNDS; BACKPROPAGATION; BIOMASS; CHLOROPHYLL; COMPUTER SIMULATION; LAKES; NEURAL NETWORKS; NITRATES; PHOSPHATES; SENSITIVITY ANALYSIS; WATER QUALITY;

WATER ANALYSIS;

AMMONIA; CHLOROPHYLL A; FRESH WATER; NITRATE; PHOSPHATE;

ARTIFICIAL NEURAL NETWORK; BIOMASS; COMPUTER SIMULATION; CONFERENCE PAPER; JAPAN; MODEL; NONHUMAN; PHYTOPLANKTON; PREDICTION; SEASONAL VARIATION; WATER QUALITY;

ALGAE; BACILLARIOPHYTA; CYANOBACTERIA; MICROCYSTIS;

EID: 0030725850     PISSN: 02731223     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0273-1223(97)00464-2     Document Type: Conference Paper

References (21)

1. Baba, N. (1989). A new approach for finding the global minimum of error function of neural networks. Neural Networks, 2, 367-373.
2. Barica, J., Kling, H. and Gibson, J. (1980). Experimental manipulation of algal bloom composition by nitrogen addition. Can. J. Fish. Aquat. Sci. 37, 1175-1183.
3. Benndorf, J. and Recknagel, F. (1982). Problems of application of the ecological model SALMO to lakes and reservoirs having various trophic states. Ecol. Modelling, 17, 129-145.
4. Dillon, P. J. and Rigler, F. H. (1974). The phosphorus-chlorophyll relationship in lakes. Limnol. Oceanogr., 19, 767-773.
5. Harrison, P. J. and Davis, C. O. (1979). The use of outdoor continuous cultures to analyse factors influencing species selection. J. Exp. Mar. Biol. Ecol. 41, 9-23.
6. Hosomi, M., Saigusa, T., Okubo, T. and Murakami, A. (1996). Use of a water temperature-ecological model to simulate global warming effects on a lake ecosystem. In: Climate Change and Plants in East Asia, Omasa, K., Kai, K., Taoda, H., Uchijima, Z., and Yoshino, M. (Eds.), Springer-Verlag, Tokyo, 109-136.
7. Jorgensen, S. E. (1976). A eutrophication model for a lake. Ecol. Modelling, 2, 147-162.
8. Kayama, M., Abe, S., Takenaga, H., and Morooka, Y. (1992). Determining optimal number of hidden units for multi-layered neural networks. T. IEE Japan, 112-D, 11, 1064-1070 (in Japanese).
9. Kilham, P. (1990). Ecology of Melosira species of Africa. In: Large lakes., Tilzer, M. M. and Serruya, C. (Eds.), Springer-Verlag, Berlin.
10. NeuralWare, Inc. (1993). Neural Computing: Back-Propagation. NeuralWare, Inc., Pittsburgh.
11. National Institute for Environmental Studies (NIES) Japan (1984). Studies on the eutrophication of freshwater: Environmental data for Lake Kasumigaura. Research Data from NIES, Japan, 25, 1984.
12. NIES (1988). Comprehensive studies on effective use of natural ecosystems for water quality management: Environmental data for Lake Kasumigaura. Research Data from NIES, Japan, 33, 1988.
13. NIES (1995). Aoko (Water-blooms of Blue-green Algae); Measurement, Occurrence, and Factors on Its Growth. NIES, Japan, 1995.
14. Recknagel, F., Petzoldt, T., Jaeke, O. and Krusche, F. (1994). Hybrid expert system DELAQUA - a toolkit for water quality control of lakes and reservoirs. Ecol. Modelling, 71, 17-36.
15. Smith, M. (1993). Neural Networks for Statistical Modeling: Generalization. Van Nostrand Reinhold, New York.
16. Solis, F. J. and Wets, J. B. (1981). Minimization by random search techniques. Mathematics of Operations Research, 6, 19-30.
17. Suttle, C. A. and Harrison, P. J. (1988). Ammonium and phosphate uptake rates, N : P supply ratios, and evidence for N and P limitation in some oligotrophic lakes. Limnol. Oceanogr., 33, 2, 186-202.
18. Takamura, N., Otsuki, A., Aizaki, M. and Nojiri, Y. (1992). Phytoplankton species shift accompanied by transition from nitrogen to phosphorus dependence of primary production in Lake Kasumigaura, Japan. Arch. Hydrobiol., 124, 129-148.
19. Tilman, D., Kiesling, R. L., Sterner, R., Kilham, S. S. and Johnson, F. A. (1986). Green, bluegreen and diatom algae: Taxonomic differences in competitive ability for phosphorus, silicon, and nitrogen. Arch. Hydrobiol., 106, 473-485.
20. Vollenweider, R. V. (1976). Advances in defining critical loading levels for phosphorus in lake eutrophication. Mem. Ist. Ital. Idrobiol., 33, 53-83.
21. Whitehead, P. G. and Hornberger, G. M. (1984). Modelling algal behaviour in the River Thames. Wat. Res., 18(8), 945-953.