The Extended Kalman Filter (EKF) as a tool for the assimilation of high frequency water quality data

Ecological Modelling

Volumn 170, Issue 2-3, 2003, Pages 227-235

  Pastres, R ^a   Ciavatta, S ^a   Solidoro, C ^b  

^a CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^b ISTITUTO NAZIONALE DI OCEANOGRAFIA E DI GEOFISICA SPERIMENTALE OGS   (Italy)

Author keywords

Extended Kalman Filter; High frequency data; Lagoon of Venice; Water quality model

Indexed keywords

ASSESSMENT METHOD; DISSOLVED OXYGEN; ECOSYSTEM MODELING; KALMAN FILTER; LAGOON; SALINITY; WATER QUALITY; WATER TEMPERATURE;

EURASIA; EUROPE; ITALY; SOUTHERN EUROPE; VENETO; VENEZIA; VENICE LAGOON;

EID: 0346306379     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(03)00230-8     Document Type: Conference Paper

References (13)

1. Beck, M.B., 1987. Water quality modeling: a review of the analysis of uncertainty. Water Resour. Res. 23, 1393-1442.
2. Beck, M.B., Young, P., 1976. Systematic identification of DO-BOD model structure. J. Environ. Eng. ASCE 102, 909-927.
3. Cosby, B.J., Hornberger, G.M., 1984. Identification of photosynthesis-light models for aquatic systems. I. Theory and simulations. Ecol. Model. 23, 1-24.
4. Cosby, B.J., Hornberger, G.M., Kelly, M.G., 1984. Identification of photosynthesis-light models for aquatic systems. II. Application to a macrophyte dominated stream. Ecol. Model. 23, 25-51.
5. Gelb, A., 1974. Applied Optimal Estimation. MIT Press, Cambridge, Mass., 374 pp.
6. Ginot, V., Hervé, J.C., 1994. Estimating the parameters of dissolved oxygen dynamics in shallow ponds. Ecol. Model. 73, 169-187.
7. Pastres, R., Solidoro, C., Cossarini, G., Melaku Canu, D., Dejak, C., 2001. Managing the rearing of Tapes philippinarum in the Lagoon of Venice: a decision support system. Ecol. Model. 138, 231-245.
8. Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T., 1986. Numerical Recipes, the art of Scientific Computing. Cambridge University Press, New York, 818 pp.
9. Stigter, J.D., Beck, M.B., 1994. A new approach to the identification of model structure. Environmetrics 5, 315-333.
10. Scavia, D., Powers, W.F., Canale, P.R., Moody, J.L., 1981. Comparison of first-order error analysis and Monte Carlo simulation in time dependent lake eutrophication models. Water Resour. Res. 17, 1051-1059.
11. Storey, M.L., Auer, M.T., Barth, A.K., Graham, J.M., 1993. Site-specific determination of kinetic coefficients for modelling algal growth. Ecol. Model. 66, 181-196.
12. Woodall, W.H., Adams, B.M., 1989. Statistical process control. In: Wadworth, Jr., H.M. (Ed.), Handbook of Statistical Methods for Engineers and Scientist. McGraw-Hill, New York.
13. Young, P., 1984. Recursive Estimation and Time-Series Analysis: An Introduction. Springer, New York, 300 pp.