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Introduction Mosquitoes are the principle vector of the West Nile Virus (WNV) which causes infections in humans and animals and has emerged as a public health threat throughout Long Island, NY. The WNV was first detected among birds and mosquitoes by the Suffolk County Department of Health Services (SCDHS) in 2000. In response to the public health concern, the USGS in cooperation with the SCDHS, began a 3-year study in 2002 to sample surface waters in selected wetlands for insecticides which were sprayed seasonally from a truck or helicopter as part of the county's vector-control program. These insecticides include Altosid (methoprene) and Scourge [1:3 ratio of resmethrin and piperonyl butoxide (PBO)]. Methoprene...
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Problem Dissolved oxygen (DO) is an important indicator of water quality that until recently has been cost-prohibitive to monitor extensively in both space and time. Continuous water-quality data, particularly in coastal environments with bidirectional tidal flow, is necessary for resource managers to understand the dynamic changes in water quality that occur tidally, daily, seasonally, and during aperiodic events. In the estuaries surrounding Long Island, such events may include wastewater treatment plant failures, harmful algal blooms, and extreme weather. The U.S. Geological Survey (USGS) has extensive experience with continuous water-quality monitoring at fixed locations along the coast that provides valuable...
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Purpose and Scope The Natural Resources Department of the Bad River Band of Lake Superior Chippewa, Odanah, Wisconsin has requested assistance with compiling existing mercury (Hg) concentration data from measurements in a variety of environmental media in an effort to evaluate risks to ecosystem and human health and to identify key data gaps that could be addressed through future sampling. These data include Hg concentrations in fish, frogs, otters, birds, wild rice, the atmosphere, surface water, and sediment. The purpose of this proposed study is to compile existing Hg data collected by the Bad River Band of Lake Superior Chippewa, evaluate the potential risks to humans and to local ecosystems, and to recommend...
As a Science Topic for New York Water Science Center’s (NYWSC) Coastal Science Capability Team, Flood Hazards includes documenting and analyzing flood data for the Atlantic Ocean and Great Lakes and their many interconnected waterways. In cooperation with State and local organizations, the NYWSC is working to sustain and enhance vital flood-warning networks. The NYWSC leverages its institutional knowledge and that of its partners (like the National Weather Service) to provide regional and local emergency managers with timely information on flood hazards, including statistics such as annual exceedance probabilities (for example, on 100-year-recurrence-interval coastal-flood events). Results are disseminated through...
Wetlands provide numerous ecological and economic benefits to coastal communities having value as nursery, feeding, and refuge areas for many commercial and recreational fisheries, and they significantly contribute to the base of the food web. Wetlands trap sediments, reduce turbidity, and absorb nutrients and pollutants thereby improving water quality. They also provide an important buffer against wave energy from coastal storms; however, these benefits are deteriorating with the health of these ecosystems. Wetland health and sustainability are dependent on several factors including hydrology, sediment flux, vegetation, nutrient inputs, coastal development, and invasive species. Over the past several decades...
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Background The Long Island-New Jersey (LINJ) coastal drainages NAWQA study is one of the 1994 set and is coordinated from our West Trenton, NJ office. Tasks for the first two years, 1994-95, included staffing, developing a liaison process, analyzing existing data, and designing a data collection program that started in 1996. These planning activities lead to the study design for 3 years of intensive data collection in 1996-98. The intensive efforts includes multi-scale study approaches to collect samples of water, suspended and bed sediment, biologic tissues, and aquatic communities. The LINJ NAWQA study is scheduled to enter a low-intensity phase of monitoring and report writing in 1999 and return to another...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate and Land-Use Change, Climate and Land-Use Change, Climate and Land-Use Change, Coastal Science, Coastal Science, All tags...
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Background The U.S. Geological Survey (USGS), in cooperation with the Village of Patchogue and the New York Department of State, collected water-quality samples from 10 shallow wells within the village to document the effects of onsite wastewater disposal on groundwater discharging into the Patchogue River. The onsite disposal of wastewater within the Patchogue River basin - a riverine estuary that discharges into Great South Bay, Suffolk County, Long Island, NY - has adversely affected water quality and aquatic habitats within both the tidal and non-tidal portions of the river. Of particular concern are increased loads of nutrients (nitrate, nitrite, ammonia, and phosphorus) to the shallow groundwater system which...
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The U.S. Geological Survey's Strategy to Evaluate Persistent Contaminant Hazards Resulting from Sea Level Rise and Storm-derived Disturbances SCoRR: Sediment-bound Contaminant Resiliency and Response Strategy Project Page Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health (EH) stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems....
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Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg/L Cl- isochlor, also known as the salt front, using daily river discharge, meteorological drivers, and tidal water level data. We use the ML model to predict the location of the salt front, measured in river miles (RM) along the Delaware River, during the period 2001-2020, and we compare the ML model results to results from the hydrodynamic...
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Following Hurricane Sandy, the USGS began construction of an overland Surge, Wave, and Tide Hydrodynamics (SWaTH) Network along the Northeastern Atlantic Coast from North Carolina to Maine. This network, developed collaboratively with numerous partners, features the integration of long-term tide gage networks, with real-time rapid-deployment gages (RDG) and mobile storm-tide sensors (STS). An element of the comprehensive strategy of SWaTH ensures that locations for most RDGs and STSs have been presurveyed to the North American Vertical Datum of 1988 (NAVD 88) and equipped with receiving brackets. This permits rapid deployment and recovery of instrumentation and data dissemination in the hours and days immediately...


map background search result map search result map Shallow groundwater quality in the Patchogue River basin, Suffolk County, New York Monitoring of Waterways for Mosquito Insecticides, Suffolk County, New York Continuous and Spatially Distributed Dissolved Oxygen Monitoring in Long Island Estuaries in Support of Coastal Resource Management. Long Island-New Jersey (LINJ) Coastal Drainages Study -- Land Use Study (NY) Sediment-bound Contaminant Resiliency and Response (SCoRR) Strategy Coastal Storm Response Surge, Wave, and Tide Hydrodynamics Network (SWaTH) Compilation of Mercury Data and Associated Risk to Human and Ecosystem Health, Bad River Band of Lake Superior Chippewa A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay Compilation of Mercury Data and Associated Risk to Human and Ecosystem Health, Bad River Band of Lake Superior Chippewa Continuous and Spatially Distributed Dissolved Oxygen Monitoring in Long Island Estuaries in Support of Coastal Resource Management. Monitoring of Waterways for Mosquito Insecticides, Suffolk County, New York A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay Long Island-New Jersey (LINJ) Coastal Drainages Study -- Land Use Study (NY) Sediment-bound Contaminant Resiliency and Response (SCoRR) Strategy Coastal Storm Response Surge, Wave, and Tide Hydrodynamics Network (SWaTH)