Abstract
Our ability to predict, observe, and monitor the performance of ocean outfall discharges is rapidly transforming through advances in numerical modeling, remote sensing and underwater vehicle technology. The rapid implementation of sensor and AUV technology has transformed our ability to monitor effluent plumes from coastal discharges of both brine and wastewater. Advances in remote sensing technology provide new views of anthropogenic discharges into coastal seas and oceans. Improved spatial and temporal resolution of coastal models provides more comprehensive dispersion estimates from these discharges. The combined capabilities now provide more detailed observations of the oceanographic processes affecting the dispersion of these discharges and produce statistical maps of the dispersion of properties related to the effluents. These results will contribute to management and design of ocean outfalls and enable better interpretation of discharge effects on coastal ocean ecosystems.
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References
Anderson, D. M., Burkholder, J. M., Cochlan, W. P., Glibert, P. M., Gobler, C. J., Heil, C. A., et al. (2008). Harmful algal blooms and eutrophication: Examining linkages from selected coastal regions of the United States. Harmful Algae, 8, 39–53.
Blumberg, A. F., & Connolly, J. P. (1996). Modeling fate and transport of pathogenic organisms in Mamala Bay. Hawaii, USA: Honolulu.
Bogucki, D. J., Jones, B. H., & Carr, M. E. (2005). Remote measurements of horizontal eddy diffusivity. Journal of Atmospheric and Oceanic Technology, 22, 1373–1380.
California Environmental Protection Agency, S. W. R. C. B. (2012). Water quality control plan: Ocean waters of California. In C. E. P. A. (Ed.), State water resources control board. Sacramento, California: State Water Resources Control Board.
Camilli, R., & Duryea, A. N. (2009). Characterizing spatial and temporal variability of dissolved gases in aquatic environments with in situ mass spectrometry. Environmental Science and Technology, 43, 5014–5021.
Camilli, R., Reddy, C. M., Yoerger, D. R., Van Mooy, B. A. S., Jakuba, M. V., Kinsey, J. C., et al. (2010). Tracking hydrocarbon plume transport and biodegradation at deepwater horizon. Science, 330, 201–204.
Chao, Y., LiIZ, J., Farrara, J. D., Moline, M. A., Schofield, O. M. E., & Majumdar, S. J. (2008). Synergistic applications of autonomous underwater vehicles and regional ocean modeling system in coastal ocean forecasting. Limnology and Oceanography, 53, 2251–2263.
Coble, P. G. (2007). Marine optical biogeochemistry: The chemistry of ocean color. Chemical Reviews, 107, 402–418.
Corson, M. R., Korwan, D. R., Lucke, R. L., Snyder, W. A., & Davis, C. O. (2008). The hyperspectral imager for the Coastal Ocean (HICO) on the international space station. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008 (pp. 101–104). Piscataway: IEEE.
D’sa, E. J., & Miller, R. L. (2003). Bio-optical properties in waters influenced by the Mississippi River during low flow conditions. Remote Sensing of Environment, 84, 538–549.
Haile, R. W., Witte, J. S., Gold, M., Cressy, R., McGee, C., Millikan, R. C., et al. (1999). The health effects of swimming in ocean water contaminated by storm drain runoff. Epidemiology, 10, 355–363.
Hong, G. H., Yang, D. B., Lee, H. M., Yang, S. R., Chung, H. W., Kim, C. J., et al. (2012). Surveillance of waste disposal activity at sea using satellite ocean color imagers: GOCI and MODIS. Ocean Science Journal, 47, 387–394.
Howard, M. D., Sutula, M., Caron, D., Chao, Y., Farrara, J., Frenzel, H., et al. (2012). Comparison of natural and anthropogenic nutrient sources in the Southern California Bight. In K. Schift (Ed.), Southern California coastal water research project—Annual report. Costa Mesa, California, USA: Southern California Coastal Water Research Project.
Islam, M. S., & Tanaka, M. (2004). Impacts of pollution on coastal and marine ecosystems including coastal and marine fisheries and approach for management: A review and synthesis. Marine Pollution Bulletin, 48, 624–649.
Johnson, K. S., & Coletti, L. J. (2002). In situ ultraviolet spectrophotometry for high resolution and long-term monitoring of nitrate, bromide and bisulfide in the ocean. Deep-Sea Research Part I-Oceanographic Research Papers, 49, 1291–1305.
Jones, B. H., Bratovich, A., Dickey, T. D., Kleppel, G., Steele, A., Iturriaga, R., & Haydock, I. (1990). Variability of physical, chemical, and biological parameters in the vicinity of an ocean outfall plume. In E. J. List & G. H. JirkaI (Eds.), 3rd International Conference on Stratified Flows, 1987 Pasadena (pp. 877–890). CA: American Society of Civil Engineers.
Kratzer, S., Brockmann, C., & Moore, G. (2008). Using MERIS full resolution data to monitor coastal waters—A case study from Himmerfjarden, a fjord-like bay in the northwestern Baltic Sea. Remote Sensing of Environment, 112, 2284–2300.
Lee, Z. P., Carder, K. L., Hawes, S. K., Steward, R. G., Peacock, T. G., & Davis, C. O. (1994). Model for the interpretation of hyperspectral remote-sensing reflectance. Applied Optics, 33, 5721–5732.
Noble, M., Jones, B., Hamilton, P., Xu, J., Robertson, G., Rosenfeld, L., & Largier, J. (2009). Cross-shelf transport into nearshore waters due to shoaling internal tides in San Pedro Bay, CA. Continental Shelf Research, 29, 1768–1785.
Paul, J. H., Rose, J. B., Jiang, S. C., London, P., Xhou, X. T., & Kellogg, C. (1997). Coliphage and indigenous phage in Mamala Bay, Oahu, Hawaii. Applied and Environmental Microbiology, 63, 133–138.
Petrenko, A. A., Jones, B. H., Dickey, T. D., Lenaitre, M., & Moore, C. (1997). Effects of a sewage plume on the biology, optical characteristics, and particle size distributions of coastal waters. Journal of Geophysical Research-Oceans, 102, 25061–25071.
Ramos, P. A. G. (2013). Geostatistical prediction of ocean outfall plume characteristics based on an autonomous underwater vehicle regular paper. International Journal of Advanced Robotic Systems, 10, 289. doi:10.5772/56644.
Ramos, P., & Neves, M. V. (2008). Environmental impact assessment and management of sewage outfall discharges using AUV’S. In A. V. Inzartsev (Ed.), Underwater vehicles. Vienna, Austria: I-Tech.
Reifel, K. M., Johnson, S. C., Digacomo, P. M., Mengel, M. J., Nezlin, N. P., Warrick, J. A., & Jones, B. H. (2009). Impacts of stormwater runoff contaminants in the Southern California Bight: Relationships among plume constituents. Continental Shelf Research, 29, 1821–1835.
Roberts, P. J. W., Hunt, C. D., Mickelson, M. J., & Tian, X. D. (2011). Field and model studies of the Boston outfall. Journal of Hydraulic Engineering-Asce, 137, 1415–1425.
Rogowski, P., Terrill, E., Otero, M., Hazard, L., & Middleton, W. (Eds.). (2011). Mapping ocean outfall plumes and their mixing using autonomous underwater vehicles, in international symposium on outfall systems, Mar del Plata: Argentina.
Rogowski, P., Terrill, E., Otero, M., Hazard, L., & Middleton, W. (2012). Mapping ocean outfall plumes and their mixing using autonomous underwater vehicles. Journal of Geophysical Research-Oceans, 117, Doi: 10.1029/2011gc7804.
Rogowski, P., Terrill, E., Otero, M., Hazard, L., & Middleton, W. (2013). Ocean outfall plume characterization using an autonomous underwater vehicle. Water Science and Technology, 67, 925–933.
Rudnick, D. L., & Perry, M. J. (2003). ALPS: Autonomous and Lagrangian Platforms and Sensors, p. 64. Workshop Report. http://www.geo-prose.com/ALPS.
Scholin, C., Jensen, S., Roman, B., Massion, E., Marin, R., Preston, C., et al. (2006). The environmental sample processor (ESP)—An autonomous robotic device for detecting microorganisms remotely using molecular probe technology. Oceans, 2006(1–4), 1179–1182.
Scholin, C., Doucette, G., Jensen, S., Roman, B., Pargett, D., Marin, R., et al. (2009). Remote detection of marine microbes, small invertebrates, harmful algae, and biotoxins using the environmental sample processor (Esp). Oceanography, 22, 158–167.
Seegers, B. N., Birch, J. M., Marin, R., Scholin, C. A., Caron, D. A., Seubert, E. L., Howard, M. D. A., Robertson, G. L., & Jones, B. H. (2014). Subsurface seeding of surface harmful algal blooms observed through the integration of autonomous gliders, moored environmental sample processors, and satellite remote sensing in Southern California. Limnology and Oceanography (in review).
Short, R. T., Fries, D. P., Kerr, M. L., Lembke, C. E., Toler, S. K., Wenner, P. G., & Byrne, R. H. (2001). Underwater mass spectrometers for in situ chemical analysis of the hydrosphere. Journal of the American Society for Mass Spectrometry, 12, 676–682.
Smith, R. N., Schwager, M., Smith, S. L., Jones, B. H., Rus, D., & Sukhatme, G. S. (2011). Persistent ocean monitoring with underwater gliders: Adapting sampling resolution. Journal of Field Robotics, 28, 714–741.
Svejkovsky, J., Nezlin, N. P., Mustain, N. M., & Kum, J. B. (2010). Tracking stormwater discharge plumes and water quality of the Tijuana River with multispectral aerial imagery. Estuarine, Coastal and Shelf Science, 87, 387–398.
Todd, R. E., Rudnick, D. L., & Davis, R. E. (2009). Monitoring the greater San Pedro Bay region using autonomous underwater gliders during fall of 2006. Journal of Geophysical Research-Oceans, 114. Artn C06001, Doi:10.1029/2008jc005086.
Turner, R. K., Subak, S., & Adger, W. N. (1996). Pressures, trends, and impacts in coastal zones: Interactions between socioeconomic and natural systems. Environmental Management, 20, 159–173.
Uchiyama, Y., Idica, E. Y., McWilliams, J. C., & Stolzenbach, K. D. (2014). Wastewater effluent dispersal in Southern California Bays. Continental Shelf Research, 76(1), 36–52. doi:10.1016/j.csr.2014.01.002.
Van der Merwe, R. (2014). Marine monitoring and environmental management of SWRO concentrate discharge: A case study of the KAUST SWRO plant. Thuwal: King Abdullah University of Science and Technology.
Wenner, P. G., Bell, R. J., Van Amerom, F. H. W., Toler, S. K., Edkins, J. E., Hall, M. L., et al. (2004). Environmental chemical mapping using an underwater mass spectrometer. Trac-Trends in Analytical Chemistry, 23, 288–295.
Wu, Y. C., Washburn, L., & Jones, B. H. (1994). Buoyant plume dispersion in a coastal environment—Evolving plume structure and dynamics. Continental Shelf Research, 14, 1001–1023.
Acknowledgments
The activities supporting the observations presented took place between 2009 and 2012. Those whose efforts contributed to the success of the observations include Ivona Cetinic, Carl Oberg, Arvind Pereira, the Orange County Sanitation District Environmental Monitoring Division, and Ray Arntz and Kayaa Heller from Sundiver for their operational support that was essential to the success of these efforts. Financial support for the research was provided by USC Sea Grant, Orange County Sanitation District, the National Oceanographic and Atmospheric Administration’s ECOHAB and MERHAB programs, the Southern California Coastal Ocean Observation System (part of NOAA IOOS), and King Abdullah University of Science and Technology.
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Jones, B., Teel, E., Seegers, B., Ragan, M. (2015). Observing, Monitoring and Evaluating the Effects of Discharge Plumes in Coastal Regions. In: Missimer, T., Jones, B., Maliva, R. (eds) Intakes and Outfalls for Seawater Reverse-Osmosis Desalination Facilities. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-13203-7_22
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DOI: https://doi.org/10.1007/978-3-319-13203-7_22
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