Zafer Defne
Neil K. Ganju
2017
Change in salinity in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey during Hurricane Sandy
1.0
Vector Digital Data Set (Polygon)
data release
DOI:10.5066/F7K64GZT
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
https://doi.org/10.5066/F7K64GZT
https://www.sciencebase.gov/catalog/item/5965519fe4b0d1f9f05b3680
Zafer Defne
Neil K. Ganju
2017
Wetland data layers derived from Barnegat Bay Little Egg Harbor hydrodynamic model
1.0
data release
DOI:10.5066/F7K64GZT
Reston, Virginia
U.S. Geological Survey
Suggested citation: Defne, Zafer, Ganju, N.K., 2017, Wetland data layers derived from Barnegat Bay Little Egg Harbor hydrodynamic model : U.S. Geological Survey data release, https://doi.org/10.5066/F7K64GZT
https://doi.org/10.5066/F7K64GZT
As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate the vulnerability of coastal wetlands to various factors and to evaluate their ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey, was selected as a pilot study area.
As part of this data synthesis effort, hydrodynamic and sediment transport modeling of Barnegat Bay Little Egg Harbor (BBLEH) has been used to create the following wetland data layers in Edwin B. Forsythe National Wildlife Refuge (EBFNWR), New Jersey: 1) Hydrodynamic residence time , 2) salinity change and 3) salinity exposure change in wetlands, and 4) sediment supply to wetlands. The residence time layer was based on the hydrodynamic and particle tracking modeling of the period 3/1/2012 to 5/1/2012 by Defne and Ganju (2015). For this data layer, the residence time map of estuarine water has been projected over the EBFNWR salt marshes. The rest of the layers were derived from the BBLEH hydrodynamic modeling for the Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a). The model estimated changes in salinity and sediment concentrations over the salt marshes caused by storm-induced coastal flooding. The results are summarized over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b).
This polygon dataset facilitates quantifying changes in salinity in the EBFNWR salt marsh complex by summarizing the results over the previously determined conceptual salt marsh unit polygons (Defne and Ganju, 2016b). Analysis of episodic change in salinity is part of a comprehensive assessment to identify the factors and their weights in determining the vulnerability and resiliency of salt marshes. Change in salinity has been estimated based on the hydrodynamic modeling of Barnegat Bay - Little Egg Harbor (BBLEH) estuary during Hurricane Sandy period from 10/27/2012 to 11/04/2012 (Defne and Ganju, 2016a).
2017
publication date
None
-74.484623118
-74.051158122
40.053798801
39.435117592
USGS Metadata Identifier
USGS:5965519fe4b0d1f9f05b3680
USGS Thesaurus
wetland ecosystems
wetland functions
coastal ecosystems
coastal processes
environmental assessment
ecological processes
salinity
vegetation
None
salinity
salt marsh
vegetation
marsh health
estuary
environment
contamination
resilience
vulnerability
polygon shapefile
ISO 19115 Topic Category
oceans
inlandWaters
environment
None
Edwin B. Forsythe National Wildlife Refuge
United States
Great Bay
Barnegat Bay
Little Egg Island
New Jersey
Atlantic Ocean
None
The change in salinity values in this dataset are defined for scientific research purposes and should not be used as a sole source of reference for any regulations and policy making. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the source of this information.
U.S. Geological Survey
Zafer Defne
Ocean Scientist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543
508-548-8700 x2254
508-457-2310
zdefne@usgs.gov
https://www.sciencebase.gov/catalog/file/get/5965519fe4b0d1f9f05b3680?name=mu_SC_EBFNWRp.png
Graphic that shows the change in salinity during Hurricane Sandy in the EBFNWR salt marsh complex overlaying Esri Shaded World Relief Map.
PNG
Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)
Zafer Defne
Neil K. Ganju
2016
Conceptual salt marsh units for wetland synthesis: Edwin B. Forsythe National Wildlife Refuge, New Jersey
1.0
Vector Digital Data Set (Polygon)
data release
DOI:10.5066/F7QV3JPG
Reston, Virginia
U.S. Geological Survey
https://doi.org/10.5066/F7QV3JPG
Zafer Defne
Neil K. Ganju
2016
Storm-induced geomorphological changes in a shallow, back-barrier estuary
American Geophysical Union Ocean Sciences Meeting, New Orleans, LA, USA
https://agu.confex.com/agu/os16/preliminaryview.cgi/Paper92777.html
Zafer Defne
Neil K. Ganju
2015
Quantifying the residence time and flushing characteristics of a shallow, back-barrier estuary: application of hydrodynamic and particle tracking models
Estuaries and Coasts
Volume 38
New York, NY
Springer US
pages 1719-1734
https://doi.org/10.1007/s12237-014-9885-3
Water-land boundary and marsh unit boundaries inherit from accuracy of source data, conceptual marsh units. This layer is calculated by resampling the hydrodynamic model output at a higher horizontal resolution of 0.0003 degrees (~30 meters) prior to averaging over each marsh unit.
Simulated salinity ranges between fresh water and ocean water salinity in the computational domain. The maximum change in salinity does not violate the maximum possible range.
The polygon outlines for this dataset are defined by the conceptual marsh unit boundaries in the source dataset. That is the boundaries of the EBFNWR areas that include unvegetated and vegetated areas. A detailed on-the-ground analysis of a single site may result in a different interpretation of the wetland and marsh unit boundaries than established through this analysis.
Horizontal accuracy for the polygon boundaries is inherited from the source layer, conceptual marsh units, and considered to be greater than ~3 meters. The point cloud used for calculating salinity change had variable horizontal resolution (~40 to ~300 meters) that was interpolated over a ~30-meter raster. The raster dataset was resampled at 3 meter resolution to enhance the conformity with the marsh unit boundaries prior to calculating zonal statistics.
Zafer Defne
Neil K. Ganju
2016
Conceptual salt marsh units for wetland synthesis: Edwin B. Forsythe National Wildlife Refuge, New Jersey
Vector Digital Data Set (Polygon)
data release
DOI:10.5066/F7QV3JPG
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/F7QV3JPG
Online
2016
publication date
marshUnitsEBFp.shp
Downloaded and used the features in [marshUnitsEBFp.shp] to summarize change in salinity at each marsh unit during a storm
This process step used ArcMap (ver. 10.3.1) using tools from ArcToolbox. Names of specific tools used are given in CAPITAL letters (any critical parameters used is given in parentheses, separated by a semicolon, immediately after the tool name). Input and output file names are provided in [square brackets] when necessary. Units for length and area calculations are meters (m) and square meters (m2) unless otherwise stated.
Defne and Ganju (2016a) modeled estuarine circulation in BBLEH during Hurricane Sandy period that spans from 10/27/2012 to 11/04/2012 with a three-dimensional hydrodynamic model. The computational domain included a part of Great Bay to the south and Manasquan Inlet to the north in addition to Barnegat Bay and Little Egg Harbor. Net changes in salinity were calculated by subtracting the depth-averaged salinity in the water column during non-storm conditions from those during Hurricane Sandy. The salinity of sub-aerial regions during non-storm conditions is assumed to be zero.
Import hydrodynamic model output and project it to Web Mercator coordinate system, which is preferred projection for web services. Create a raster layer from it.
a) MAKE XY EVENT LAYER('XY table'= 'SC.txt'; X field='lon'; Y field='lat'; Z field='val'; Layer name='SC_WGS84.shp'; Spatial reference='GCS_WGS_1984')
b) PROJECT(Input dataset='SC_WGS84.shp'; Output dataset='SC.shp'; Output coordinate system='WGS_1984_Web_Mercator_Auxiliary_Sphere')
c) IDW.SpatialAnalyst(Input feature='SC.shp'; Output Cell Size=100 meters; Power=2; Search Radius=Variable; Number of Points=12; Output raster='SC.tif') with the Raster processing extent same as the extent of the marsh unit polygons [marshUnitsEBFp.shp].
marshUnitsEBFp.shp
2017
SC.shp
SC.tif
U.S. Geological Survey
Zafer Defne
Ocean Scientist
mailing and physical address
384 Woods Hole Rd.
Woods Hole
MA
02543-1598
USA
508-548-8700 x2254
508-457-2310
zdefne@usgs.gov
Some part of the EBFNWR salt marsh system to south of the Great Bay and upstream of Mullica River is not covered by the hydrodynamic model. The salinity values for the marsh units in these areas are determined from the nearest marsh units with values using an inverse distance method. First, the marsh units are grouped into two depending on whether they are inside or outside of the computational domain.
a) Select features from [marshUnitsEBFp.shp] marsh polygons that are within the BBLEH computational domain and export as [mu_with_data.shp].
b) Invert selection and export polygons outside the computational domain as [mu_no_data.shp].
marshUnitsEBFp.shp
2017
mu_with_data.shp
mu_no_data.shp
Calculate the salinity change values for marsh units using the ZONALTABLE2FEAT tool. This tool calculates the statistics (e.g. the mean value) for each marsh unit polygon from the underlying raster layer. ZONALTABLE2FEAT(Raster layer='SC.tif'; Zone features='mu_with_data.shp'; Zone field='FID_CMU'; Statistics type='MEAN'; Table name='mu1'; Output='mu_with_SC.shp') to calculate the mean salinity for each marsh unit within the BBLEH domain. During this process the table name 'mu1' is prefixed to field names for [mu_with_SC.shp] (as opposed to 'mu0' for the interior polygons in the following steps).
SC.tif
mu_with_data.shp
2017
mu_with_SC.shp
Create a raster layer from the interior polygons and use it to estimate values for exterior marsh units.
a) FEATURE TO POINT(Input features='mu_with_SC.shp'; 'Output features='mu_with_SC_pts.shp').
b) IDW.SpatialAnalyst(Input features='mu_with_SC_pts.shp'; Output Cell Size=100 meters; Power=2; Search Radius=Variable; Number of Points=12; Output raster='mu_no_SC.tif') with Raster analysis extent set to the same extent with [marshUnitsEBFp.shp].
c) ZONALTABLE2FEAT(Raster layer='mu_no_SC.tif'; Zone features='mu_no_data.shp'; Zone field='FID_CMU'; Statistics type='MEAN'; Table name='mu0'; Output='mu_no_SC.shp') to calculate the mean salinity for the exterior marsh units. During this process the table name 'mu0' is prefixed to field names for [mu_no_SC.shp].
mu_with_SC.shp
mu_no_data.shp
2017
mu_no_SC.shp
a) MERGE the interior [mu_with_SC.shp] and exterior [mu_no_SC.shp] polygon features and calculate a new 'MEAN' field by adding the values of the mean values from two feature sets 'MEAN' = 'mu0_MEAN' + 'm1_MEAN'.
b) During geoprocessing a few polygons smaller than the raster analysis resolution might get assigned "NoData" values. Replace the missing value with the value from the closest polygon.
c) Edit the fields and field names for clarity and EXPORT to obtain the final feature dataset [mu_SC_EBFNWRp.shp].
mu_with_SC.shp
mu_no_SC.shp
2017
mu_SC_EBFNWRp.shp
Added keywords section with USGS persistent identifier as theme keyword.
20200807
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Vector
G-polygon
1338
WGS 1984 Web Mercator Auxiliary Sphere (ESRI Full Name: WGS_1984_Web_Mercator_Auxiliary_Sphere)
0.0
0.0
0.0
0.0
coordinate pair
0.6096
0.6096
Meter
D_WGS_1984
WGS_1984
6378137.0
298.257223563
mu_SC_EBFNWRp
Attribute information associated with the change in salinity in the conceptual marsh units of EBFNWR salt marsh complex.
USGS
FID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Coordinates defining the features.
FID_CMU
Sequential unique whole numbers that represents the identification number for each conceptual marsh units.
USGS
0
1337
MEAN
Change in depth-averaged salinity in each marsh unit
USGS
0.290134012699127
32.687198638916
psu
In this dataset, change in depth-averaged salinity during hurricane Sandy is averaged over each conceptual marsh unit in EBFNWR. Change in salinity is estimated based on the hydrodynamic modeling of Barnegat Bay - Little Egg Harbor (BBLEH) estuary from 10/27/2012 to 11/04/2012. Net change in salinity is calculated by subtracting the depth-averaged salinity in the water column during non-storm conditions from those during Hurricane Sandy. The salinity of sub-aerial regions during non-storm conditions is assumed to be zero. Decimal values in the attribute table are a result of double precision calculations while significant digits are considered in defining the attribute measurement resolutions. Therefore, the smallest unit increment for change in salinity can be assumed to be a practical value such as 0.01.
U.S. Geological Survey
U.S. Geological Survey - ScienceBase
mailing and physical address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
1-888-275-8747
sciencebase@usgs.gov
mu_SC_EBFNWRp.zip contains mu_SC_EBFNWRp.shp (together with shapefile components, browse graphic, and associated FGDC CSDGM metadata in XML, TEXT, and HTML formats with the same prefix file name).
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Not for navigational use.
shapefile
ArcGIS 10.3.1
This zipped file contains a shapefile and associated metadata.
27
https://www.sciencebase.gov/catalog/file/get/5965519fe4b0d1f9f05b3680
https://www.sciencebase.gov/catalog/file/get/5965519fe4b0d1f9f05b3680?name=mu_SC_EBFNWRp.zip
https://www.sciencebase.gov/catalog/item/5965519fe4b0d1f9f05b3680
https://doi.org/10.5066/F7K64GZT
The first link in network resources is to download data directly. The second and third links are web services for remote access. The fourth and fifth links point to a landing page with metadata and data, and the ScienceBase catalog parent item, respectively.
WMS
27
https://www.sciencebase.gov/arcgis/services/Catalog/5965519fe4b0d1f9f05b3680/MapServer/WMSServer?request=GetCapabilities&service=WMS
https://www.sciencebase.gov/arcgis/rest/services/Catalog/5965519fe4b0d1f9f05b3680/MapServer
https://www.sciencebase.gov/arcgis/services/Catalog/5965519fe4b0d1f9f05b3680/MapServer/WMSServer?request=GetCapabilities&service=WMS
https://www.sciencebase.gov/catalog/item/5965519fe4b0d1f9f05b3680
https://doi.org/10.5066/F7K64GZT
The first link in network resources is to download data directly. The second and third links are web services for remote access. The fourth and fifth links point to a landing page with metadata and data, and the ScienceBase catalog parent item, respectively.
None. No fees are applicable for obtaining the data set.
20200807
U.S. Geological Survey
Zafer Defne
Ocean Scientist
mailing and physical address
384 Woods Hole Road
Woods Hole
MA
02543
508-548-8700 x2254
508-457-2310
zdefne@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998