call. In total, the year 2003 saw 5,280 ship calls to the port. Significantly, the port ... Stevens Institute of Technology's Center for Maritime Systems (CMS) has for ...
An Operational Port Security and Vessel Traffic Management System for the Port of New York and New Jersey Alan F. Blumberg and Michael S. Bruno Center for Maritime Systems Stevens Institute of Technology Castle Point on Hudson, Hoboken, NJ 07030 INTRODUCTION The Port of New York and New Jersey is the largest port on the east coast of North America, handling 78.4 million tons of cargo, including more than 23.5 million tons of general cargo and 54.8 million tons of bulk cargo in 2003. This cargo, valued at more than $100 billion, includes more than 4 million TEUs of loaded and empty containers and more than 625,000 automobiles (largest in the nation). Although New York is no longer the undisputed capital of passenger shipping, its cruise passenger industry experienced a 45% growth in 2003, and recently welcomed the Queen Mary 2 as her primary port-ofcall. In total, the year 2003 saw 5,280 ship calls to the port. Significantly, the port supports approximately 229,000 jobs and $10 billion in wages in the New York metropolitan region. The port is also home to an active commuter ferry system that includes the Staten Island Ferry, which carries more than 19 million passengers per year on the 5.2 mile route between Staten Island and lower Manhattan, and more than 65,000 passengers per day by private ferries, nearly all of them between the State of New Jersey and Manhattan. An overview of the region containing the Port of New York and New Jersey is shown in Figure 1. Stevens Institute of Technology’s Center for Maritime Systems (CMS) has for many years pursued technology development and education in support of the safe, secure, and environmentally sound movement of cargo and passengers through the nation’s Marine Transportation System (MTS). For nearly 70 years, the CMS’s Davidson Laboratory has pioneered the development of high-speed cargo vessels and ferries, including leadingedge mono-hull and multi-hull designs. The Laboratory has also been heavily involved in the improvement of the operational characteristics of these vessels through applied research in vessel maneuverability, seakeeping, and wake reduction. Recent initiatives – the topic of the present paper – have focused on the solution of the unique problems confronting the Port of New York and New Jersey, including port security, safe navigation in a confined waterway, and water and sediment contamination. The solution of these seemingly disparate problems involves at the first order, knowledge of the operating environment. Natural and man-made impacts to the Hudson-Raritan Estuary and the Harbor and vessels it hosts can be ascertained only through accurate and reliable information regarding past, present, and expected future conditions. Whether one is supporting vessel pilots during an extreme weather event or the first responder community in the aftermath of the release of a water- or air-borne toxin, this information represents the single most important input to decision-making.
The New York Harbor Observing and Prediction System (NYHOPS, viewable at http://www.stevens.edu/maritimeforecast/ ) was designed and installed by the CMS to provide operations-critical information to the Port of New York and New Jersey. The system was developed with support from the Office of Naval Research and the State of New Jersey Department of Transportation, and through continuing partnerships with NOAA, the US Coast Guard, the Port Authority of New York and New Jersey, the States of New York and New Jersey, and several maritime industry participants. NYHOPS combines maritime environment and vessel observing and forecasting systems to provide: 1. Real-time information regarding present ocean and weather conditions in the Harbor; 2. Continuously-updated model forecasts regarding future (out to 48-hours) ocean and weather conditions in the region; 3. An experimental RADAR-based system for surface current and wave observations as well as vessel traffic surveillance in the Lower Harbor and its approaches. 4. A test bed for investigating model directed autonomous underwater vehicles (AUV) and model controlled sensors. NOAA currently operates a Physical Oceanography Real-Time System (PORTS) ocean monitoring system in the Harbor. This system, viewable at http://www.co-ops.nos.noaa.gov/nyports/nyports.html provides ocean data and ocean model forecasts in the approaches to the berthing areas to support commercial vessel traffic. The Stevens NYHOPS system significantly enhances and expands the NOAA PORTS system by the addition of new sensors in the Hudson River and in the lower Harbor and Raritan Bay – areas that are heavily trafficked by ferry vessels, recreational craft, fishing vessels, and sightseeing/cruise ships. This expanded system will support the region’s MTS, as well as the port security and first responder communities. During the continuing development of the NYHOPS system, Stevens and NOAA are strongly collaborating in order to maximize benefit to the maritime community. NYHOPS allows for high-resolution coverage of the region while also permitting the scientific analysis of several phenomena unique to this urban harbor area, including: • The sheltering effect of Manhattan on wind conditions in the Hudson River, an issue of particular importance to vessel operators during severe weather events • The impact of wakes produced by high-speed passenger and cargo ferries and recreational vessels, an issue that has gained in significance with the recent expansion in both ferry service and recreational boating in the Harbor • The influence of piers and seawalls on wave and current conditions, an issue of increasing importance with the recent expansion of ferry and recreational vessel docking facilities along both sides of the Hudson River • The formation of severe ice conditions along the Hudson River and Lower Harbor shorelines, such as occurred during the Winter of 2003-2004 • The fate and effects of contaminants in the sediments, and the problems associated with the disposal of dredged material.
DESCRIPTION OF SYSTEM The New York Harbor Observing and Prediction System is an open-access network of distributed sensors and linked computer estuarine and coastal ocean forecasting models. The system is designed to allow for the real-time assessment of ocean, weather, and environmental conditions throughout the New York Harbor region, and forecast of conditions in the near and long-term. As such, the system functions as both an operational product and a research tool to foster the economic and environmental health of the region. NYHOPS includes three main components: observations, numerical modeling, and information distribution. The overall system architecture that shows the interaction among these three components is shown in Figure 2. The architecture is designed so that the modeling system interacts with the sensor network by turning on a particular sensor, by changing its sampling rate or by dispatching a service crew to effect repairs when necessary. Observations Real-time oceanographic information within New York Harbor is obtained using various sensors placed at strategic locations to monitor the current state of the estuarine environment. The challenge of providing this information is particularly difficult in urban environments. The urban environments are typically shallow coastal areas and estuaries, where oceanographic and atmospheric conditions exhibit high spatial and temporal variability due to the influences of freshwater inflows, combined sewer overflows (CSO), tides, micro-climate, and bottom and land topography which is subject to change because of dredging/deepening programs. The design and installation of observing systems in these environments is further complicated by the presence of high turbidity, strong stratification, strong currents, fog, vessel traffic and limited shoreline access. The sensor design and network configuration are patterned after an existing Stevens system on the New Jersey coast (Bruno, et. al. 2001). The network sensors, all of which sprovide their data in real-time, consist of: ¾ 6 shore-based salinity, temperature, turbidity, and water level sensors, and 2 water level sensors ¾ 2 moored platforms containing near-surface and near-bottom salinity, temperature, turbidity, and water level sensors ¾ 2 Acoustic Doppler Current Profilers (ADCPs) ¾ 1 CODAR High Frequency Surface Wave RADAR system, operated in tandem with 2 Rutgers University CODAR systems to provide broad-area measurement of surface currents and waves ¾ Commuter ferry-based conductivity and temperature sensors ¾ 6 anemometers providing detailed and continuous observations of local meteorological conditions The shore-based and moored data are sampled every 10 min and are transmitted on an hourly basis via a radio link. The ferry data are sampled and transmitted every 30
seconds via a cellular connection. This observation network provides very large spatial coverage of the region of interest at sufficiently high resolution to provide a real-time "mosaic" of the oceanographic and weather conditions (see Figure 1 for sensor locations). Supplementing this mosaic are observations from the Stevens Coastal Monitoring Network (Bruno, et al, 2001). The network provides real-time observations and archived records at four locations along the coast of New Jersey of shallow water (5m) wave characteristics, water temperature, water level, and meteorological conditions. Each station is fitted with a digital camera that provides a picture of the beach every 5 minutes. The recorded data is disseminated via the Internet at: http://cmn.dl.stevenstech.edu/. The land, moored and ferry-based sensors transmit data via secure wireless networks. Data QA/QC procedures are in place to ensure the reliability of the observations. The data is also transferred to the NOAA National Weather Service’s National Data Buoy Center for distribution via the NDBC website, http://www.ndbc.noaa.gov/Maps/Northeast.shtml. In partnership with Rutgers University’s Institute of Marine and Coastal Sciences (IMCS), a HF CODAR current measurement system is under development to provide real-time measurements of the surface currents at the entrance of the Harbor. An example of the data processing protocol from collection to distribution is shown in Figure 3, which illustrates the surface temperature and salinity derived from ferry-based sensors. Interestingly, as a result of this very detailed information, we are able for the first time to learn that the western side of the Hudson River Estuary is significantly warmer and fresher than the eastern side. This occurs in a section that is only 2000 m wide. Modeling system The modeling system consists of a three-dimensional circulation model and a wave model. It is designed to provide reliable and timely meteorological and oceanographic nowcasts/forecasts for the maritime waters of New York and New Jersey including the waters eastward to the continental shelf break of the New York Bight in one contiguous fashion. The modeling system is based on the Estuarine Coastal and Ocean Model (ECOMSED), a derivative of the Princeton Ocean Model (POM http://www.aos.princeton.edu/WWWPUBLIC/htdocs.pom/) developed by Blumberg and Mellor (1987). The ECOMSED/POM combination is in use by almost 1900 research groups around the world and over 600 papers have been published with them as the modeling engine. The NYHOPS implementation of ECOMSED/POM is based on the work of Blumberg et. al. (1999). The spatial extent of the NYHOPS domain incorporates the core area of NY/NJ Harbor and extends beyond to include the Hudson River Estuary up to the Troy Dam, all of Long Island Sound and the New York Bight out to the continental shelf. The model was calibrated by comparing water levels at 14 locations, current velocities at 6 locations, salinity and temperature at 35 locations over a period of one year from
October 1988 to September 1989. A hydrologically different simulation period, October 1994 to September 1995, was used for model validation. Compared with 1988-89, the latter period is relatively colder, with 10 W/m2 lower yearly mean shortwave solar radiation, and significantly drier, with only 66 percent of inflows from rivers. The model was validated against elevation data at 13 locations, current data at five locations and salinity and temperature data at 27 locations. Detailed calibration and validation efforts have been described by Blumberg et al. (1999). The model has been run continuously beginning with the year 1999 to the present time without any loss of predictive skill. Operational Prediction System The prediction system is designed to provide accurate and comprehensive realizations of meteorological and oceanographic conditions in the past (hindcast), present (nowcasts) and future (forecasts). It is based on the operational protocol designed by Kelley, et al (1997) for the NOAA/NWS Regional Ocean Forecast System (ROFS) which produces daily forecasts of ocean properties for the coastal ocean of the United States. The NYHOPS simulations are performed and archived on the Stevens Hydrodynamic Computational Laboratory's high-performance computer cluster resident in the Davidson Laboratory. Forcing is based on NOAA/NWS/NCEP’s Mesoscale Eta 12km atmospheric forecast model, USGS river flow gauges, NOAA/NOS water level stations and effluents from 110 wastewater treatment plants obtained from the Interstate Sanitation Commission. Stormwater runoffs are being incorporated at the present time. The system is designed to automatically transfer forcing data and perform forecasts once daily, at 0000 hours. The NOAA Operational Model Archive Distribution System (N.O.M.A.D.S.) is used to FTP the Eta nowcast and forecast fields. wwwgrab, a PERL5 script, is used to take river discharge data from the USGS and water level and associated ancillary data from NOAA/NOS. The prediction system is scheduled to simulate 72 hours - 24 hours in the past (the hindcast mode) and then 48 hours into the future (the forecast mode). A schematic of the flow of data in the prediction system is shown in Figure 4. The hindcast part of the cycle uses observed forcing functions and a file is written out that forms the basis for the next cycle. The forecast simulations are performed using forecasted forcing functions except for the river flows, which are based on daily persistence. The modeling system saves the proper hydrodynamic information for a restart. A smooth and seamless execution occurs to start the next cycle, which is scheduled to start 24 hours later. Three-dimensional fields of salinity, temperature, and currents and two dimensional fields of water level, significant wave height, period and direction are archived every 30 minutes. The forecast for a period 6 hours into the future is shown in Figure 5. This is for the NY/NJ Estuary subdomain and depicts surface current speed and direction. Note that at this time the currents are quite intense at several locations in the Harbor and knowledge of the current patterns is particularly useful for safe navigation. Similar maps are available for the full suite of predicted parameters and for many subdomains of the entire forecast region. The most accurate part of the system cycle is the hindcast. It ends at midnight when a file is written out which forms the basis for the next hindcast cycle. For the following 48 hours of the forecast cycle, model accuracy is enhanced through the assimilation of the
high-resolution observations of temperature, salinity and water level that are automatically retrieved from the data repository. Every 30 minutes a map of “Present Conditions” is prepared by assimilating all the available data for that 30 minute period with the appropriate forecast. An objective optimal interpolation technique is used to create the assimilated distribution. These distributions are saved for use with the next cycle of the prediction system. . Figure 6 illustrates “Present Conditions” of surface salinity in the NY/NJ Estuary for 3 May, 2004, 15:30 local time. The observational network and modeling system are parts of the integrated, sustained ocean observing system envisioned by the National Oceanographic Partnership Program (NOPP), under the OCEAN.US office, and the NOAA/ONR Coastal-IOOS (Integrated Ocean Observing System). Information distribution The NYHOPS information distribution system is designed to sustain high-volume data availability and storage, providing rapid access to information by a broad range of users. It is also designed to present the modeling and observational data in creative ways that can be used effectively by governmental, educational and environmental groups for a variety of purposes. The architecture allows the modeling system to interact with the sensor network by turning on a particular sensor, by changing its sampling rate or by dispatching a service crew to effect repairs when necessary. The in-situ observational data and model forecasts from NYHOPS will be used by the MTS community in the Port of New York and New Jersey, as well as many other institutions and agencies for a wide variety of purposes. It is an important goal of the program to design a system to sustain high-volume data availability and provide the government, commercial, and academic communities rapid access to quality information. A broader goal is to distribute real-time data and product information to the public in multiple formats. The NYHOPS web site mentioned previously has been established to provide for easy distribution of the information. The web site displays are targeted to the MTS community, port security officials, emergency management personnel, teachers, fishermen, sail and power pleasure boaters and swimmers. They include horizontal maps of surface and bottom water temperature, salinity and currents, water levels, waves and winds. Time series of these quantities for selected locations are also presented. CONCLUSIONS The NYHOPS system represents an important resource to the Port of New York and New Jersey, and it is hoped, a model for similar academic-government-industry partnerships elsewhere in the nation. In addition to providing operations-critical information to the Port community, NYHOPS will be used in the coming years as an essential platform from which new observation, surveillance, and modeling technologies can be developed.
ACKNOWLEDGEMENTS Funding for NYHOPS was provided by the Office of Naval Research and the New Jersey Department of Transportation’s Office of Maritime Resources. Significant contributions to the system described herein were made by Shejun Fan, Brian Fullerton, Dov Kruger, Jeremy Turner, Elena Zagrai and HydroQual, Inc. REFERENCES Blumberg, A. F., L. A. Khan, and J. P. St. John, 1999. Three-Dimensional Hydrodynamic Model of New York Harbor Region, J. Hydr. Engrg., 125(8), 799-816. Blumberg, A. F. and G. L. Mellor, 1987. A Description of a Three-Dimensional Coastal Ocean Circulation Model, In Three-Dimensional Coastal Ocean Models, Coastal and Estuarine Sciences, Vol. 4, N. Heaps ( Ed.) , American Geophysical Union, Washington, D.C., 1-16. Bruno, M.S., O. G. Nwogu, K.L. Rankin, and T. O. Herrington, 2001. "Real-Time Coastal Monitoring and Forecasting System : Preliminary Results", International Conference on Coastal Engineering, Vol 1, 283-291, ASCE. Kelley, J. G. W., F. Aikman, L. C. Breaker, G. L. Mellor, 1997,.Coastal Ocean Forecasts, Sea Technology, May.
Figure 1. General setting of the Port of New York and New Jersey and the location of sensors in the NYHOPS sensor network. “Partner” sensors are owned and maintained by NOAA/NOS, Rutgers University and The River Project. Supplementing this network are observations made from ferries that travel throughout these waters on a routine basis.
Figure 2. The operational system architecture is designed to have an interaction among the observing system, numerical model, and information distribution system. These three components must all function together for the system to be effective.
Figure 3. Ferry-based surface temperature and salinity measurements across the Hudson River in the vicinity of Hoboken (Castle Point), NJ. At this section the estuary is 2000m wide. There is a marked difference in temperature and salinity in this narrow section.
Figure 4: The forecast startup protocol and the flow of data into and out of the NYHOPS modeling system
Figure 5. The forecast map for surface current speed and direction in the NY/NJ Estuary subdomain a period 6 hours into the future. The arrows denote the direction of the currents. Speed in knots is denoted on the color bar. Only a subset of the model grid points is shown for clarity.
Figure 6. The present surface salinity in the NY/NJ Estuary subdomain. The spatial distribution is created using data from the sensor network available in real-time, the forecasted field available every 30 minutes, and an objective interpolation technique. The dots represent the locations of the sensors.
