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MODFLOW-NWT and MODPATH groundwater flow models of steady-state conditions in coastal Connecticut and adjacent areas of New York and Rhode Island, as well as a nitrogen transport model of the Niantic River watershed

Metadata Updated: July 6, 2024

A steady-state groundwater flow model, using MODFLOW-NWT, was developed to better understand groundwater flow in coastal Connecticut and adjacent areas of New York and Rhode Island. Aquatic systems in and around Long Island Sound (LIS) provide a variety of ecological and economic benefits such as flood and storm protection, water filtration, recreation, habitat for commercially and recreationally important fish and bird populations, and carbon sequestration. In some areas of LIS and in many embayments along the Connecticut coastline, aquatic ecosystems are degraded due to excess nitrogen from sources such as waste-water treatment plants, septic systems, and fertilizer. A substantial fraction of total nitrogen inputs to LIS are transported through the ground- water-flow system. Currently, the groundwater-flow system on the north shore of LIS is not well understood. Groundwater budgets, travel times, and discharge receptors have not been quantified, hindering water-resources management efforts focused on groundwater transported nitrogen. The groundwater model was used as a framework for understanding the groundwater component of flow to surface water in the HUC12 watersheds within the study area and to a subset of coastal embayments of LIS. The model was calibrated to groundwater levels and baseflow discharge from water years 1990 through 2019, long-term average stream altitudes, and a dry stream/flooded land metric. The model was used to calculate the components of the groundwater budget and to estimate groundwater travel times, using MODPATH particle-tracking, within HUC12 basins and embayment watersheds, as well as to estimate groundwater nitrogen loading and transport times within the Niantic River watershed. This dataset contains model inputs and outputs, post-processing python scripts, and PEST calibration input files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20215116).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/7fa65e12565f3a5fd8e05246f5b9f6e8
Identifier USGS:eb13416a-3b3a-4d43-9b31-daa96bc761c8
Data Last Modified 20200813
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 5ffec3f6-65e4-49be-9190-41d763bb551e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -74.536511,40.350945,-71.036883,42.681208
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 1dc5cc3ccb09305c0e940b6b18bcb8acc669f4490b22441f7419a301dd8c9f1d
Source Schema Version 1.1
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