Skip to main content
Log in

A mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Corpus Christi Bay (TX, USA) is a shallow wind-driven bay and thereby, can be characterized as a highly pulsed system. It cycles through various episodic events such as hypoxia, water column stratification, sediment resuspension, flooding, etc. Understanding of the processes that control these events requires an efficient observation system that can measure various hydrodynamic and water quality parameters at the multitude of spatial and temporal scales of interest. As part of our effort to implement an efficient observation system for Corpus Christi Bay, a mobile monitoring system was developed that can acquire and visualize data measured by various submersible sensors on an undulating tow-body deployed behind a research vessel. Along with this system, we have installed a downward-looking Acoustic Doppler Current Profiler to measure the vertical profile of water currents. Real-time display of each measured parameter intensity (measured value relative to a pre-set peak value) guides in selecting the transect route to capture the event of interest. In addition, large synchronized datasets measured by this system provide an opportunity to understand the processes that control various episodic events in the bay. To illustrate the capability of this system, datasets from two research cruises are presented in this paper that help to clarify processes inducing an inverse estuary condition at the mouth of the ship channel and hypoxia at the bottom of the bay. These measured datasets can also be used to drive numerical models to understand various environmental phenomena that control the water quality of the bay.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abarbanel, H. D., Holm, D. D., Marsden, J. E., & Ratiu, T. (1984). Richardson number criterion for the nonlinear stability of three-dimensional stratified flow. Physical Review Letters, 52, 2352–2355.

    Article  Google Scholar 

  • Agrawal, Y. C., & Pottsmith, H. C. (2000). Instruments for particle size and settling velocity observations in sediment transport. Marine Geology, 168, 89–114.

    Article  Google Scholar 

  • Baptista, A. M., Zhang, Y., Chawla, A., Zulauf, M., Seaton, C., Myers, E. P., et al. (2005). A cross-scale model for 3D baroclinic circulation in estuary-plume-shelf systems: II. Application to the Columbia River. Continental Shelf Research, 25, 935–972.

    Article  Google Scholar 

  • Barth, J. A., & Bogucki, D. J. (2000). Spectral light absorption and attenuation measurements from a towed undulating vehicle. Deep Sea Research, Part I, 47(2), 323–342.

    Article  Google Scholar 

  • Blackwell, S. M., Moline, M. A., Schaffner, A., Garrison, T., & Chang, G. (2008). Sub-kilometer length scales in coastal waters. Continental Shelf Research, 28(2), 215–226.

    Article  Google Scholar 

  • Boss, E., Collier, R., Larson, G., Fennel, K., & Pegau, W. S. (2007). Measurements of spectral optical properties and their relation to biogeochemical variables and processes in Crater Lake, Crater Lake National Park, OR. Hydrobiologia, 574(1), 149–159.

    Article  CAS  Google Scholar 

  • Chatila, R., & Laumond, J. P. (1985). Position referencing and consistent world modeling for mobile robots. In Proc. IEEE International Conference on Robotics and Automation (pp. 138–145).

  • Dickey, T., Frye, D., Jannasch, H., Boyle, E., Manov, D., Sigurdson, D., et al. (1998). Initial results from the Bermuda Testbed Mooring Program. Deep-Sea Research, 45, 771–794.

    Article  Google Scholar 

  • Dickey, T. (1991). The emergence of concurrent high-resolution physical and bio-optical measurements in the upper ocean. Reviews of Geophysics, 29, 383–413.

    Article  Google Scholar 

  • Fiorelli, E., Leonard, N. E., Bhatta, P., Paley, D. A., Bachmayer, R., & Fratantoni, D. M. (2006). Multi-AUV control and adaptive sampling in Monterey Bay. IEEE Journal of Oceanic Engineering, 31(4), 935–948.

    Article  Google Scholar 

  • Flint, R. W. (1985). Long-term estuarine variability and associated biological response. Estuaries, 8, 158–169.

    Article  Google Scholar 

  • Gartner, J. W. (2002). Estimation of suspended solids concentrations based on acoustic backscatter intensity: Theoretical background, Turbidity and Other Sediment Surrogates Workshop, 30 April–2 May 2002, Reno, NV.

  • Glenn, S. M., Dickey, T. D., Parker, B., & Boicourt, W. (2000a). Long-term real-time coastal ocean observation networks. Oceanography, 13, 24–31.

    Google Scholar 

  • Glenn, S. M., Boicourt, W., Parker, B., & Dickey, T. D. (2000b). Operational observation networks for ports, a large estuary and an open shelf. Oceanography, 13, 12–23.

    Google Scholar 

  • Gunter, G. (1967). Vertebrates in hypersaline water. Contributions in Marine Science, 12, 230–241.

    Google Scholar 

  • Hay, A. E., & Sheng, J. Y. (1992). Vertical profiles of suspended sand concentration and size from multifrequency acoustic backscatter. Journal of Geophysical Research-Oceans, 97(C10), 15661–15677.

    Article  Google Scholar 

  • Hodges, B. R., Furnans, J. E., & Kulis, P. S. (2008). Case study: Linkages between hypoxia and thin-layer stratification in Corpus Christi Bay. Manuscript submitted to Journal of Hydraulic Engineering (Aug, 2008).

  • Howard, L. N. (1961). Note on a paper of John W. Miles. Journal of Fluid Mechanics, 10, 509–512.

    Article  Google Scholar 

  • Islam, M. S. (2009). Development of a coastal margin observation and assessment system (CMOAS) to capture the episodic events in a shallow bay. Ph.D. dissertation, Texas A&M University, College Station, TX (May, 2009).

  • Islam, M. S., Bonner, J., Ojo, T., & Page, C. (2009). An Integrated real time monitoring system to investigate the hypoxia in a shallow wind-driven bay. Manuscript submitted to Environmental Monitoring and Assessment (Aug, 2009).

  • Islam, M. S., Bonner, J., Ojo, T., & Page, C. (2008). A mechanistic dissolved oxygen model of Corpus Christi Bay to understand critical processes causing hypoxia. Oceans ’08 MTS/IEEE, Quebec Technical Program, 15–18 September 2008.

  • MacNaughton, A., White, R. H., & Bendzlowicz, M. (2004). Into the deep end: The naval oceanographic office’s subsurface autonomous mapping system (SAMS) AUV. Resource document. Naval Oceanographic office. http://savage.nps.edu/svn/nps/Savage/Robots/UnmannedUnderwaterVehicles/SamsMacNaughtonOctober2004.pdf. Accessed 9 Feb 2009.

  • Miles, J. W. (1961). On the stability of heterogeneous shear flows. Journal of Fluid Mechanics, 10, 496–508.

    Article  Google Scholar 

  • Montagna, P. A., & Kalke, R. D. (1992). The effect of freshwater inflow on meiofaunal and macrofaunal populations in the Guadalupe and Nueces estuaries, Texas. Estuaries, 15, 307–326.

    Article  Google Scholar 

  • Montgomery, J. L., Harmon, T., Kaiser, W., Sanderson, A., Haas, C. N., Hooper, R., et al. (2007). The WATERS network: An integrated environmental observatory network for water research. Environmental Science & Technology, 41(19), 6642–6647.

    Article  CAS  Google Scholar 

  • Ojo, T., Bonner, J., & Page, C. (2007a). Simulation of constituent transport using a reduced 3D constituent transport model (CTM) driven by HF radar: Model application and error analysis. Environmental Modeling and Software, 22, 488–501.

    Article  Google Scholar 

  • Ojo, T. O., Bonner, J. S., & Page, C. (2007b). A rapid deployment Integrated Environmental and Oceanographic Assessment System (IEOAS) for coastal waters: Design concepts and field implementation. Environmental Engineering Science, 24(2), 221–232.

    Article  Google Scholar 

  • Ojo, T. O., Bonner, J. S., & Page, C. (2006). Studies on turbulent diffusion processes and evaluation of diffusivity values from hydrodynamic observations in Corpus Christi Bay. Continental Shelf Research, 26, 2629–2644.

    Article  Google Scholar 

  • Ritter, C., & Montagna, P. A. (2001). Cause and effect of hypoxia (low oxygen) in Corpus Christi Bay, Texas. Technical Report 2001-001, University of Texas at Austin, Marine Science Institute.

  • Ritter, C., & Montagna, P. A. (1999). Seasonal hypoxia and models of benthic response in a Texas estuary. Estuaries, 22(3), 7–20.

    Article  Google Scholar 

  • SAUV. (2009). Solar powered autonomous underwater vehicle. Website address http://www.physlink.com/news/121304UnderwaterSolar.cfm. Accessed on 9 Feb 2009.

  • Tedesco, M., Bohlen, W. F., Howard-Strobel, M. M., Cohen, D. R., & Tebeau, P. A. (2003). The MYSound project: Building an estuary-wide monitoring network for Long Island Sound, USA. Environmental Monitoring and Assessment, 81(1–3), 35–42.

    Article  Google Scholar 

  • Thompson, S. K., & Seber, G. A. F. (1996). Adaptive sampling. New York: Wiley.

    Google Scholar 

  • Thorne, P. D., & Hanes, D. M. (2002). A review of acoustic measurement of small-scale sediment processes. Continental Shelf Research, 22(4), 603–632.

    Article  Google Scholar 

  • Trujillo, D. A., Kelly, F. J., Perez, J. C., Riddles, H. R., & Bonner, J. S. (2004). Accuracy of surface current velocity measurements obtained from HF radar in Corpus Christi Bay, Texas. IEEE International Geoscience and Remote Sensing Symposium, II, 1179–1182.

    Google Scholar 

  • Turner, R. E., Schroeder, W. W., & Wiseman, W. J. Jr. (1987). The role of stratification in the deoxygenation of Mobile Bay and adjacent shelf bottom waters. Estuaries, 10(1), 13–19.

    Article  CAS  Google Scholar 

  • Visbeck, M., & Fischer, J. (1995). Sea surface conditions remotely sensed by upward-looking ADCPs. Journal of Atmospheric and Oceanic Technology, 12, 141–149.

    Article  Google Scholar 

  • Volpe, A. M., & Esser, B. K. (2002). Real-time ocean chemistry for improved biogeochemical observation in dynamic coastal environments. Journal of Marine Systems, 36, 51–74.

    Article  Google Scholar 

  • Wiebe, P. H., Stanton, T. K., Greene, C. H., Benfield, M. C., Sosik, H. M., Austin, T. C., et al. (2002). BIOMAPPER-II: An integrated instrument platform for coupled biological and physical measurements in coastal and oceanic regimes. IEEE Journal of Oceanic Engineering, 27, 700–716.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Shahidul Islam.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Islam, M.S., Bonner, J.S., Ojo, T.O. et al. A mobile monitoring system to understand the processes controlling episodic events in Corpus Christi Bay. Environ Monit Assess 175, 349–366 (2011). https://doi.org/10.1007/s10661-010-1536-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10661-010-1536-y

Keywords

Navigation