TECHNICAL PAPERS
Sep 1, 2001

Case Study: Analysis and Forecasting of Salinity in Apalachicola Bay, Florida, Using Box-Jenkins ARIMA Models

Publication: Journal of Hydraulic Engineering
Volume 127, Issue 9

Abstract

The Apalachicola Bay is one of the most productive estuaries in Florida. Variations of salinity directly influence the productivity of the aquatic habitats. Physical conditions that affect the salinity include tidal elevations, wind and current velocities, precipitation, and the discharge of the Apalachicola River. In the present paper, cross-correlation techniques, autoregressive integrated moving average (ARIMA), and dynamic regression transfer models using the Box-Jenkins methodology are employed to analyze the time series data. The rational distributed lag transfer functions between hourly variations of tidal water levels and salinity allow forecasting of short-term fluctuations in the salinity, whereas multivariate correlation analyses of daily salinity with river discharge, wind stresses, water levels and currents, and precipitation shed light on the important control variables. Several conclusions with regard to the hydrodynamics and water quality of the bay can be drawn from identification of auto- and cross correlations and the appropriate ARIMA models. Fluctuations of tidal water levels result only in short-term periodic variations in salinity, with a linear transfer function that has a lag-two as the highest coefficient. The cross-correlation analysis shows that the Apalachicola River, being the major fresh-water source of the bay, strongly affects the currents and salinity in the bay area over the long term. Though regional precipitation controls the amount of fresh-water inflow, either through river discharge or groundwater seepage, its effect on the daily variations in salinity is statistically insignificant. In contrast, the effect of daily wind stress is significant. Salinity is positively correlated with western currents in the bay because most of the oceanic flow enters the bay from the east. A lag between the daily discharge and salinity indicates that up to a week is required for the peak of the inflow fresh water to flush through the exit of the bay.

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References

1.
Blumberg, A. F., and Herring, J. J. ( 1987). “Circulation modeling using orthogonal curvilinear coordinates.” Three-dimensional models of marine and estuarine dynamics, J. C. J. Nihoul and B. M. Jamart, eds., Elsevier, Amsterdam, 55–58.
2.
Bowerman, B. L., and O'Connell, R. T. ( 1987). Time series forecasting, Duxbury Press, Boston.
3.
Box, G. E. P., and Jenkins, G. M. ( 1976). Time series analysis: Forecasting and control, Holden-Day, San Francisco.
4.
Brooks, H. ( 1973). “Geological oceanography.” A summary of knowledge of the Eastern Gulf of Mexico, Florida Institute of Oceanography, St. Petersburg, Fla.
5.
Govindasamy, R. ( 1991). “Univariate Box-Jenkins forecasts of water discharge in the Missouri River.” Int. J. Water Resour. Devel., 3, 168–177.
6.
Hippel, K. W., and McLeod, A. I. ( 1994). Time series modeling of water resources and environmental systems, Elsevier, Amsterdam.
7.
Johnson, V. ( 1993). “Apalachicola Bay: Endangered estuary.” Florida Water, 2, 14–20.
8.
Jones, W. K., Galperin, B., Wu, T. S., and Weisberg, R. H. ( 1994). “Preliminary circulation simulations in Apalachicola Bay, FL.” Water Resour. Spec. Rep., Northwest Florida Water Management District, Havana, Fla.
9.
Koch, M., and Sun, H. ( 1999). Tidal and non-tidal characteristics of water levels and flow in the Apalachicola Bay, Florida, C. A. Brebbia and P. Anagnostpolous, eds., WIT Press, Computational Mechanics Publications, Southampton, U.K., 357–366.
10.
Lettenmaier, D. P., and Wood, E. F. ( 1993). “Hydrological forecasting.” Handbook of hydrology, D. R. Maidment, ed., McGraw-Hill, New York.
11.
Maidment, D. R. ( 1993). Handbook of hydrology, McGraw-Hill, New York.
12.
McCuen, R. M., and Snyder, W. M. ( 1986). Hydrological modeling, statistical methods and applications, Prentice-Hall, Englewood Cliffs, N.J.
13.
Pankraz, A. ( 1991). Forecasting with dynamic regression models, Wiley-Interscience, New York.
14.
Priestley, M. B. ( 1981). Spectral analysis and time series, Academic Press, Orlando, Fla.
15.
Salas, J. D. ( 1993). “Analysis and modeling of hydrological time series.” Handbook of hydrology, D. R. Maidment, ed., McGraw-Hill, New York.
16.
SAS Institute Inc. ( 1993). SAS/ETS user's guide, Cary, N.C.
17.
SAS Institute Inc. ( 1999). SAS/ETS user's guide, Cary, N.C.
18.
Sun, H., and Koch, M. ( 1996). “Time series analysis of water quality parameters in an estuary using Box-Jenkins ARIMA models and cross correlation techniques.” Computational methods in water resources, Vol. XI, Computational Mechanics Publications, Boston, 230–239.
19.
U.S. Geological Survey (USGS). ( 1994). Water resources data Florida, water year 1993–1994. Tallahassee, Fla.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 127Issue 9September 2001
Pages: 718 - 727

History

Received: Jul 28, 1995
Published online: Sep 1, 2001
Published in print: Sep 2001

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Authors

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Dept. of Geological and Marine Sci., Rider Univ., Lawrenceville, NJ 08648.
Dept. of Geohydraulics and Engrg. Hydro., Univ. of Kassel, Kurt-Wolters Strasse 3, 34109 Kassel, Germany.

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