20251219 12563500 1.0 FALSE SWI_Domain 002 1143584.761078 1240572.796432 167189.656348 287822.324531 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_New_Hampshire_FIPS_2800_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_New_Hampshire_FIPS_2800_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,984250.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-71.66666666666667],PARAMETER[&quot;Scale_Factor&quot;,0.9999666666666667],PARAMETER[&quot;Latitude_Of_Origin&quot;,42.5],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,3437]]</WKT><XOrigin>-17463700</XOrigin><YOrigin>-48257000</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102710</WKID><LatestWKID>3437</LatestWKID></ProjectedCoordinateSystem> 20260105 11402500 20260105 11402500 150000000 5000 FGDC Jayne F. Knott, Ph.D. HydroPredictions (JFK Environmental Services LLC) Principal (508) 344-2831 P.O. Box 29 Gloucester Massachusetts 01931 US jfknott@hydropredictions.com 20260105 ArcGIS Metadata 1.0 Model Domains for Saltwater Intrusion (SWI) Simulations in the NH Seacoast 2025-07-24 Steven Couture, NH Department of Environmental Services, Coastal Program Administrator map New Hampshire Seacoast - Groundwater Rise Maps 1 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The MODFLOW-USG Transport model (Panday, 2022) was used to simulate groundwater flow and saltwater intrusion in NH Seacoast communities: Rollinsford, Dover, Madbury, Durham, Newmarket, Newfields, Exeter, Newington, Portsmouth, New Castle, and part of Stratham and Rye.</SPAN></P></DIV></DIV></DIV> This map shows the model domains used to simulate saltwater intrusion. The first groundwater model constructed was the NH Seacoast model. This model originated from the USGS Groundwater Model constructed by Thomas Mack (Mack, 2009). We modified the model to simulate groundwater rise caused by SLR (Knott et al., 2019). For this project, the model was converted to MODFLOW-USG and updated to be consistent with the other models. Converting it to a saltwater intrusion model was beyond this project's scope; consequently, saltwater intrusion was not simulated in the southeastern NH Seacoast model domain. The "Dover_Plus & Durham" model domain includes the coastal areas of Rollinsford, Dover, Madbury, and Durham. A new groundwater model with SWI was constructed for the northern communities and was merged with the existing Durham groundwater model (Pimental et al., 2022). Another groundwater flow and SWI model was built for Newmarket, Newfields, Exeter, and part of Stratham. This is labeled "Newfields & Exeter" on the domain map. The "Portsmouth & NC" domain consists of a new groundwater flow and SWI model for Portsmouth, Newington, New Castle, and part of Rye. All models constructed for this project used the MODFLOW-USG Transport code and are capable of simulating contaminant transport in addition to GW flow in the future if needed. Jayne F. Knott, Ph.D. of JFK Environmental Services LLC and Jennifer M. Jacobs, Ph.D. of Jennifer M. Jacobs & Associates LLC. This work was funded by the NH Department of Environmental Services. Stephen Roy New Hampshire Department of Environmental Services Drinking Water and Groundwater Section Manager (603) 271-0660 NH Department of Environmental Services Concord NH 03302-0095 US stephen.roy@des.nh.gov Jennifer Jacobs, Ph.D. Jennifer M. Jacobs & Associates LLC Principal (603) 862-0635 Morse Hall, Room 453 Durham New Hampshire 03824 Jennifer.Jacobs@unh.edu Jayne F. Knott, Ph.D. HydroPredictions (JFK Environmental Services LLC) Principal (508) 344-2831 P.O. Box 29 Gloucester Massachusetts 01931 US jfknott@hydropredictions.com Jayne F. Knott, Ph.D. HydroPredictions (JFK Environmental Services LLC) Principal (508) 344-2831 P.O. Box 29 Gloucester Massachusetts 01931 US jfknott@hydropredictions.com Jennifer Jacobs, Ph.D. Jennifer M. Jacobs & Associates LLC Principal (603) 862-0635 Morse Hall, Room 453 Durham New Hampshire 03824 Jennifer.Jacobs@unh.edu ISO 19115 Topic Categories environment geoscientificInformation inlandWaters oceans groundwater rise; sea level rise; coastal flooding; Dover NH; years 2020 through 2150; resiliency planning environment geoscientific information inland waters oceans saltwater intrusion; sea level rise; coastal flooding; Dover NH; years 2020 through 2150; resiliency planning Esri ArcGIS 13.5.2.57366 true -71.072381 -70.704030 43.288162 42.859655 The groundwater model encompasses all of Madbury, Dover, and Rollinsford, New Hampshire. The model boundaries extend to the natural hydrologic boundaries including major water bodies and drainage divides. 2025-07-24 1 -71.071466 -70.704030 43.288162 42.954744 The groundwater rise projection shapefiles were reviewed for internal logical consistency. All features are polygons representing continuous groundwater surfaces under modeled sea level rise scenarios for the Seacoast region of New Hampshire. Feature geometries were validated using the ArcGIS Pro 'Check Geometry' tool to confirm structural integrity. No empty geometries or multipart features were present. This dataset includes groundwater rise projections for Madbury, Dover, and Rollinsford, NH. Polygon features represent areas of rising groundwater caused by sea level rise. Sea level rise scenarios of 1, 2, 4, 6, and 8 feet were simulated. Upland inland regions, not subject to tidal influence, were included to accurately define the Groundwater Rise Zone (GWRZ) inland extent, defined as the zone within which the groundwater is influenced by sea level changes. Saltwater intrusion was simulated, but a migrating coastline and changes to groundwater recharge over time were not simulated. NH Granit GIS Data - University of New Hampshire, Earth Systems Research Center. Publication Date: Various, 2021 - 2025 Type: Vector (coastline, administrative boundaries, surficial and bedrock geology, hydrology), Raster (landcover, elevation). Used for groundwater modeling and analysis of model output. NH Granit - University of New Hampshire, Earth Systems Research Center NH Granit - University of New Hampshire, Earth Systems Research Center Groundwater Model Output Originator: HydroPredictions Publication date: December 2025 Description: Modeled outputs of groundwater levels under projected sea level rise scenarios recommended by the NH Coastal Flood Risk Science Report (2019). Analysis tools in Global Mapper and ArcGIS Pro were used to derive polygons for visualization. Well Records from NH Department of Environmental Services (NHDES) Originator: NHDES One Stop Publication Date - Various Type: Point data with attributes Description: Well location and depth data were used to calibrate and validate the modeled groundwater. These data were also used to define the bedrock surface elevation. NH Department of Environmental Services NH Department of Environmental Services LiDAR Elevation Data Originator: NOAA Office for Coastal Management Date: 2019-2020 Type: Raster (DEM) Description: LiDAR-derived digital elevation models were used to define surface topography and to identify areas of shallow groundwater depth. Elevations were referenced to NAVD88 and clipped to the project domain. This map shows the model domains used to simulate saltwater intrusion. The first groundwater model constructed was the NH Seacoast model. This model originated from the USGS Groundwater Model constructed by Thomas Mack (Mack, 2009). We modified the model to simulate groundwater rise caused by SLR (Knott et al., 2019). For this project, the model was converted to MODFLOW-USG and updated to be consistent with the other models. Converting it to a saltwater intrusion model was beyond the scope of this project; consequently, saltwater intrusion was not simulated in the southeastern NH Seacoast model domain. The "Dover_Plus & Durham" model domain includes the coastal areas of Rollinsford, Dover, Madbury, and Durham. A new groundwater model with SWI was constructed for the northern communities and was merged with the existing Durham groundwater model (Pimental et al., 2022). Another groundwater flow and SWI model was built for Newmarket, Newfields, Exeter, and part of Stratham. This is labeled "Newfields & Exeter" on the domain map. The "Portsmouth & NC" domain consists of a new groundwater flow and SWI model for Portsmouth, Newington, New Castle, and part of Rye. All models constructed for this project used the MODFLOW-USG Transport code and are capable of simulating contaminant transport in addition to GW flow in the future if needed. The groundwater rise shapefile was created using the following steps: 1) A groundwater model was constructed and calibrated to local well water level data from NH Department of Environmental Services (Water Well Inventory and Geologs. 2) Simulated groundwater heads for 1, 2, 4, 6, and 8 feet of sea level rise (SLR) were generated by the model. 3) A groundwater digital elevation model was generated from the groundwater head point data in a model grid of varying sizes but less than or equal to 400 x 400 ft. 4)Groundwater rise was calculated using GIS by subtracting the current groundwater heads from the future heads with sea level rise. For example, groundwater rise (GWR) with 8 feet of SLR was calculated by subtracting the groundwater heads under no SLR from those simulated with 8 feet of SLR. The GWRZ is the inland extent of rising groundwater caused by 8 ft of SLR. 2025-07-24 Jayne F. Knott HydroPredictions (JFK Environmental Services LLC) Principal (508) 344-2831 P.O. Box 29 Gloucester MA 01931 US jfknott@hydropredictions.com A geometry validation test was conducted using the 'Check Geometry' tool in ArcGIS Pro to assess the integrity of polygon features representing groundwater rise projections. The test checked for null geometries, self-intersections, duplicate vertices, and other common geometry errors. The tool reported no geometry issues. This confirms that all features in the shapefile are valid and structurally sound, consistent with the standards for geospatial modeling output. The test was conducted in the fall of 2025 while finalizing the metadata. 2025-07-24 Jayne F. Knott HydroPredictions (JFK Environmental Services LLC) Principal (508) 344-2831 P.O. Box 29 Gloucester MA 01931 US jfknott@hydropredictions.com 0 NH Seacoast Model Domains for SWI. The inland extent of rising groundwater caused by sea level rise. User-defined Feature Class 0 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. GWR_mrgd The magnitude of groundwater rise in feet. Output from 5 models were merged. MODFLOW-USG output and GIS postprocessing analysis OBJECTID OID 4 0 0 Shape Feature geometry. Esri Coordinates defining the features. Shape Geometry 0 0 0 NAME NAME String 126 0 0 LAYER LAYER String 17 0 0 PERIMETER PERIMETER String 9 0 0 ENCLOSED_A ENCLOSED_A String 16 0 0 Shape_Leng Shape_Leng Double 8 0 0 States States String 50 0 0 LoadDate LoadDate String 20 0 0 TNMID TNMID String 233 0 0 MetaSource MetaSource String 194 0 0 SourceData SourceData String 100 0 0 SourceOrig SourceOrig String 130 0 0 SourceFeat SourceFeat String 40 0 0 GNIS_ID GNIS_ID Integer 4 0 0 AreaAcres AreaAcres String 53 0 0 AreaSqKm AreaSqKm String 35 0 0 HUC12 HUC12 String 77 0 0 HUType HUType String 254 0 0 HUMod HUMod String 30 0 0 ToHUC ToHUC String 51 0 0 NonContrib NonContrib Double 8 0 0 NonContr_1 NonContr_1 Double 8 0 0 GlobalID GlobalID String 221 0 0 Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Length Double 8 0 0 Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 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