BIBLIOGRAPHY ARTHUR, S., ASHLEY, R., TAIT,S.,NALLURI, C , 1999. Sediment transport in sewers- a step towards the design of sewers to control sediment problems. Proc. Instn Civ. EngrsWat., Marit. & Energy, 136, Mar., 9-19: BROSSE, S.,GUEGAN, J.F., TOURENQ, J.N., SOVAN LEK, 1999. The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake. Ecological modelling. 120, 299-311. CLIFFORD LAU, Neural Networks-Theoretical foundations and Analysis,The Institute of Electrical and Electronics Engineers,New York, pp-211-221 ERICKSON, B.H., NOSANCHUK, T.A., 1977. Understanding Data. Pp 217- 245, 339-376. FAUSH, K.D., HAWKES,C.L., PARSONS, M.G.,1988. Models that predict the standing crop of stream fish from habitat variables: 1950-85. Gen.Tech. Rep. PNW-GTR-213. GOWER, 1980-http://h20sparc.wq.ncsu.edu/info/do.html. JAYAWEERA, M.W., 1999. Environmental improvement study Port of Colombo, Sri lanka. Final Report; World Bank. KANG, D.J., CHUNG, C.S.,KIM, S.H., HONG, G.H., KIM, K.R.,1994. Oxygen isotope characteristics of seawaters in the Yellow Sea. La mer 32:279-284. KIM, K.R., KIM, K., KANG, D.J., PARK, S.Y., PARK, M.K.,KTM, Y.G., MIN, H.S., MIN, D., 1996. The East Sea(Japan Sea) in change: A Story of Dissolved Oxygen. MTS Journal. Vol. 33, No. 1.15 MOATAR, F., FESSANT,F., POIREL, A., 1999. pH modelling by neural networks. Application of control and validation data series in the Middle Loire River. Ecological Modelling 120, 141-156. RUMELHART, D.E., HINTON, G.E., WILLIAMS, R.J., 1986. Learning representations by back-propagating error. Nature, 323: 533-536. SCARDI, M., LAWERENCE, W.,HARDING, Jr.,1999. developing and empirical model of phytoplankton primary production: a neural network case study. Ecological Modelling. 120, 213-223. SCHLEITER, I.M., BORCHARD, T.D., WAGNER, R., DAPPER T., SCHMIDJ.K.D. , SCHMIDJ.H.H., WERNER, H., 1999. Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networks. Ecological Modelling. 120, 271-286. SKJPWORTH P.J., SAUL A.J., MACHELL J., 1999. Predicting water quality in distribution systems using artificial neural networks. Proc. Instn Civ. Engrs. Wat., Mar it. & Energy, 136, Mar., 1-8. SOVAN LEK, DELACOSTE, M., BARAN, P., DIMOPOULOS, I., LAUGA, J., AULAGNIER, S., 1996. Application of neural networks to modelling ninlinear relationships in ecology. Ecological Modelling. 90, 39-52. SOVAN LEK, GUEGAN, J.F., 1999. Artificial Neural Networks as a tool in ecological modelling, an introduction . Ecological Modelling. 120, 65-73. VILA, J.P.,WAGNER, V., NEVEU, P., VOLTZ, M., LAGACHERIE, P.,1999. Neural network architecture selection: new Bayesian perspectives in predictive modelling: Application to a soil hydrology problem. Ecological Modelling. 120, 199-130. WILLIAMS, M.D., OOSTROM, M., 2000. Oxygenation of anoxic water in a fluctuating water table system: an experimental and numerical study. Journal of Hydrology.230,70-85.