![]() Scientists also developed a diver-based monitoring protocol that can assess indicators of sediment stress levels and sediment depth measurements in a three-tiered approach.įurthermore, the diver-based survey data can also be integrated with EISES after field surveys are completed. ![]() In this collaboration, EISES will use data from sensors mounted to the seafloor which currently measure turbidity, total suspended solids (TSS), sediment deposition, seabed light (PAR), waves, currents, temperature and salinity. This tool was originally developed by NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) for forecasting coral bleaching in 1998.ĮISES uses artificial intelligence to expedite and automate analysis of environmental data from satellite images, in-situ instruments, and/or in-situ observations to help inform responses to ecological events. Xaymara Serrano, coral biologist at USACE, “The ultimate goal is to be able to use this tool at Port Everglades for the deepening project to assist with adaptive management of the project during construction”. NOAA’s ecological forecasting tool known as ‘Environmental Information Synthesizer for Expert Systems’ (EISES) is being tested for the first time in a maintenance dredging project in Port Everglades, Fort Lauderdale, Florida, in a multi-agency collaborative effort to help forecast water quality impacts which may be associated with dredging operations.Īccording to Dr. Army’s Engineer Research and Development Center (ERDC) are working to monitor the water quality and oceanographic conditions of the ocean. Army Corps of Engineers (USACE), Jacksonville District, in partnership with the National Oceanic Atmospheric Administration (NOAA) and the U.S. ![]() How do scientists get to the bottom of it? Therefore, extensive monitoring is needed at a timely scale, relevant to allow adaptive management of projects during dredging. Large-scale coastal dredging projects have the potential to add significant stress to coral reef, communities in surrounding areas, especially if impacts are undetected or fail to be detected in time. ![]()
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