Data

A one-dimensional surface-water quality model of the central Salem River Basin, New Jersey was developed to examine the causes of eutrophication and predict the effects of reduced point and nonpoint source nutrient loads on water quality. The model was developed using the USEPA WASP code. The model simulates channel flow and the fate and transport of dissolved oxygen, oxygen demands, nutrients, an

Digital flood-inundation maps for an approximately 295-mile length of the New Jersey coastline and tidewaters through 10-coastal counties stretching from Cumberland County through Bergen County; including Cumberland, Cape May, Atlantic, Ocean, Monmouth, Middlesex, Union, Essex, Hudson, and Bergen counties were created by the U.S Geological Survey (USGS) in cooperation with the New Jersey Departmen

A three-dimensional groundwater flow model using MODFLOW 6 (version 6.2.2) was developed and calibrated for unconsolidated Coastal Plain aquifers underlying the Joint Base McGuire-Dix-Lakehurst (JBMDL) and vicinity, New Jersey, to evaluate groundwater flow pathways of per- and polyfluoroalkyl substances (PFAS) contamination associated with use of aqueous film forming foam (AFFF). The model was dev

Estimates of various low-flow statistics were computed at 66 ungaged stream locations throughout New Jersey during the 2021 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-

This dataset contains geomorphic metrics across 32 cross-sections at four catchments within the Clarksburg Special Protection Area in Montgomery County, Maryland. These data were derived from raw cross-sectional data collected by the Montgomery County, Maryland Department of Environmental Protection. Geomorphic metrics include channel area, bed location, channel depth, channel width, and bank move

The data presented in this data release include concentrations of current-use pesticides, nutrients, chloride, and metals in surface water collected from 60 wetlands including natural ponds, excavated ponds (Xponds), and stormwater basins in the New Jersey Pinelands, 2018-20. Site information, basic water-quality parameters, and method information also are included.

The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), prepared hydro-conditioned geographic information systems (GIS) data layers for use in the updated New Jersey StreamStats 2022 application (U.S. Geological Survey, 2022). This update features improvements in base-elevation resolution from 10 meters to 10 feet and stream centerline

The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), calculated several basin characteristics as part of the updated New Jersey StreamStats 2022 application (U.S. Geological Survey, 2022). These datasets are raster representations of various environmental, geological, and land use attributes within the New Jersey StreamStats 2022 stu

This data release contains two tables-one table of field spike recovery data and one table of lab reagent spike recovery data-for pesticides and pesticide degradates analyzed by the USGS National Water Quality Laboratory (NWQL) schedule 2437, and associated metadata. The table of field spike recovery data includes results from paired environmental and spike samples collected by the National Water

This data release provides state-level estimates of annual agricultural use of pesticide compounds by major crop or crop group for states in the conterminous United States, for years 1992-2019, compiled from data used to make county-level estimates by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). The source of these data is the same as the published county-level

This data release provides preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for the year 2018, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with p

This data release provides preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for the year 2019, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with p