New Jersey Water Science Center

Web Name: New Jersey Water Science Center

WebSite: http://nj.usgs.gov

ID:86207

Keywords:

Jersey,New,Water,

Description:

We monitor hydrologic conditions so you can make informed decisions Our Scientists operate state-of-the-art data networks that provide spatially-consistent data to compare to historic trends NJWSC Real-Time Data We investigate and study our world and its relation to water NJWSC is highly involved in research into our ecosystems, streams, groundwater, and their health and water quality Our Science We monitor and report about extreme hydrologic events Our center is highly involved with floods, hurricanes, droughts and other threats to our safety Hazards in NJ Groundwater Levels in Southern New Jersey NJWSC has done studies of groundwater in many of the southern coastal aquifers Groundwater Mapper Welcome! Since 1903, the New Jersey Water Science Center has been collecting high-quality hydrologic data and conducting unbiased water-science research to address the water-resource priorities of the Nation, global trends and support statewide water-resource infrastructure and management needs.Real-time dataStreamflow || Groundwater || Water Quality || Weather || Tide  The USGS is highlighting and celebrating the contributions of exemplary Scientists Emeriti, and among them is New Jersey’s own Thomas Imbrigiotta. Using recently developed and sensitive laboratory methods, the USGS has documented where the radionuclides lead-210 and polonium-210 occur in principal aquifers of the U.S. used for drinking-water supply, reports a ... U.S. Geological Survey field crews are measuring flooding across the country as spring weather is in full swing. Warming temperatures, increased precipitation and snowmelt have caused moderate to major flooding in the upper Midwest, East Coast, Central Plains and the Southeast portions of the country. Year Published: 2020 Ecological forecasting—21st century science for 21st century management Natural resource managers are coping with rapid changes in both environmental conditions and ecosystems. Enabled by recent advances in data collection and assimilation, short-term ecological forecasting may be a powerful tool to help resource managers anticipate impending near-term changes in ecosystem conditions or dynamics. Managers may use the... Bradford, John B.; Weltzin, Jake F.; Mccormick, Molly; Baron, Jill; Bowen, Zack; Bristol, Sky; Carlisle, Daren; Crimmins, Theresa; Cross, Paul; DeVivo, Joe; Dietze, Mike; Freeman, Mary; Goldberg, Jason; Hooten, Mevin; Hsu, Leslie; Jenni, Karen; Keisman, Jennifer; Kennen, Jonathan; Lee, Kathy; Lesmes, David; Loftin, Keith; Miller, Brian W.; Murdoch, Peter; Newman, Jana; Prentice, Karen L.; Rangwala, Imtiaz; Read, Jordan; Sieracki, Jennifer; Sofaer, Helen; Thur, Steve; Toevs, Gordon; Werner, Francisco; White, C. LeAnn; White, Timothy; Wiltermuth, Mark Attribution: Fort Collins Science Center, Kansas Water Science Center, Maryland-Delaware-D.C. Water Science Center, Minnesota Water Science Center, National Wildlife Health Center, New Jersey Water Science Center, Pacific Coastal and Marine Science Center, Patuxent Wildlife Research Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Ecosystems, Water Resources, Science Analytics and Synthesis (SAS), Wildlife Program, Region 1: North Atlantic-Appalachian View Citation Bradford, J.B., Weltzin, J.F., McCormick, M., Baron, J., Bowen, Z., Bristol, S., Carlisle, D., Crimmins, T., Cross, P., DeVivo, J., Dietze, M., Freeman, M., Goldberg, J., Hooten, M., Hsu, L., Jenni, K., Keisman, J., Kennen, J., Lee, K., Lesmes, D., Loftin, K., Miller, B.W., Murdoch, P., Newman, J., Prentice, K.L., Rangwala, I., Read, J., Sieracki, J., Sofaer, H., Thur, S., Toevs, G., Werner, F., White, C.L., White, T., and Wiltermuth, M., 2020, Ecological forecasting—21st century science for 21st century management: U.S. Geological Survey Open-File Report 2020–1073, 54 p., https://doi.org/10.3133/ofr20201073. Year Published: 2020 Reduction in drinking water arsenic exposure and health risk through arsenic treatment among private well households in Maine and New Jersey, USA Over 2 million people in the United States (U.S.) drink water from private wells that contain arsenic (As) exceeding the U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Level (MCL) of 10 micrograms per liter (μg/L). While there are a number of commercially available treatment technologies for removing As from drinking water, it is... Yang, Qiang; Flanagan, Sara V.; Chillrud, Steven; Ross, James; Zeng, Wenke; Culbertson, Charles W.; Spayd, Steve; Backer, Lorraine C.; Smith, Andrew E.; Zheng, Yan Attribution: New England Water Science Center, New Jersey Water Science Center, Water Resources, Region 4: Mississippi Basin, Region 1: North Atlantic-Appalachian Year Published: 2020 Groundwater levels and generalized potentiometric surfaces, former Naval Air Warfare Center, West Trenton, New Jersey, 2018 Groundwater-level conditions, generalized groundwater potentiometric surfaces, and generalized flow directions at the decommissioned Naval Air Warfare Center in West Trenton, New Jersey, were evaluated for calendar year 2018. Groundwater levels measured continuously in five on-site wells and one nearby off-site well were plotted as hydrographs for... Fiore, Alex R.; Pierre J. Lacombe Attribution: New Jersey Water Science Center, Water Resources, Region 1: North Atlantic-Appalachian View Citation Fiore, A.R., and Lacombe, P.J., 2020, Groundwater levels and generalized potentiometric surfaces, former Naval Air Warfare Center, West Trenton, New Jersey, 2018: U.S. Geological Survey Open-File Report 2020–1016, 28 p., https://doi.org/10.3133/ofr20201016.

TAGS:Jersey New Water 

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Welcome! Since 1903, the New Jersey Water Science Center has been collecting high-quality hydrologic data and conducting unbiased water-science research to address the water-resource priorities of the Nation, global trends and support statewide water-resource infrastructure and management needs.Real-time data

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