Short Citation:
Office for Coastal Management, 2021: Delaware River and Upper Bay Sediment Data, https://www.fisheries.noaa.gov/inport/item/47943.

Item Identification

Title: Delaware River and Upper Bay Sediment Data
Short Name: river-bay-meta
Status: Completed
Publication Date: 2007
Abstract:

The area of coverage consists of 192 square miles of benthic habitat mapped from 2005 to 2007 in the Delaware River and Upper Delaware Bay. The bottom sediment map was constructed by the utilization of a Roxann Seabed Classification System and extensive sediment grab samples. Data was collected in a gridded trackline configuration, with tracklines spacing of 100 meters parallel to the shoreline and 200 meters perpendicular to the shoreline.This project is an extension of the work currently being performed in Delaware waters by DNREC's Delaware Coastal Program's Delaware Bay Benthic Mapping Project.The bottom sediment point data, which has

been classified according to the existing benthic mapping Roxann box plot, are converted from a number that categorizes the point according to its corresponding box (in the Roxann) into a number which reflects the sediment properties of each box in relation to one another. A ranking scale is used to allow a statistical griding scheme to interpolate between sediment data points, while minimizing erroneous sediment classifications and allowing gradational sediment deposits to be gridded. A ranking scale from 0 to 28 was used for this project, with 0 representing the finest grained classifications (fluidized clay) and 28 representing the coarsest grained

classifications (dense shell material). Table 1 illustrates the distribution of sediment classifications along the ranking scale, which takes into account the relation of sediment types and grain sizes to one another using both the Wentworth Scale and Shepard's classification system. Finer grains are more similar in their deposition environments, such as clay and silts, because they reflect similar current regimes, sorting, and reworking patterns (Poppe et al., 2003). While coarse sediments are much more dissimilar to finer grains, with respect to current velocities, sorting, and winnowing, the finer grains are much more closely related in their sediment diameters that the

coarser grains as you increase in Phi size and/or diameter. These account for the close clustering of coarse grained deposit descriptions at the upper end of the ranking scale, while the finer grained sediments show a gradation as you increase in the rating scale.The bottom sediment data is gridded in Surfer 8, a surface and terrain modeling program, using block kriging and a nugget effect. This statistical griding technique estimates the average value of a variable within a prescribed local area (Isaaks and Srivastava, 1989). Block kriging utilizes the existing point data values, weights the values of the data depending

upon the proximity to the point being estimated, to discretize the local area into an array of estimated data value points and then averaging those individual point estimates together to get an average estimated value over the area of interest (Isaaks and Srivastava, 1989). A variogram is constructed for the data, and the resultant spatial model that is developed from the variogram is used in the block kriging surface model to more accurately interpolate the sediment data . The fitted model was a nugget effect (with an error variance of 21.8%) and a linear model (with a slope of 0.00286

and an anisotropy of 1, which represents a complete lack of spatial correlation).The accuracy of the estimation is dependent upon the grid size of the area of interpolation, the size of each cell within the grid, and the number of discretized data points that are necessary to estimate the cells within that grid spacing. The grid size that was used to interpolate the bottom sediment maps was 442 lines x 454 lines, with a cell size of 44.93 m2. The nugget effect is added to allow the griding to assume there is very little, if any, lateral correlation or trends within the bottom sediment (Isaaks and Srivastava, 1989). The nugget effect model entails a complete lack of spatial correlation; the point data values at any particular location bear no similarity even to adjacent data values (Isaaks and Srivastava, 1989). Without the nugget effect the griding would assume that you could only have a linear progression of sediment types and would insert all the sediment types along the scale between two sediment types (i.e. silty fine to medium sands and fine to medium sand with varying amounts of pebbles would be inserted between fine sand and coarse sand even though that is not what is occurring along the bottom. The sediment data is gridded with no drift for the data interpolation, also helping to minimize erroneous classifications. Sediment Classification Ranking Sediment Description 0-11-2 Clay, 2-33-44-55-66-7 Silt, 7-88-9 Sandy Silts, 9-1010-11 Fine Sand, 11-1212-13 Silty Fine to Medium Sands, 13-14 Silty Medium Sand, 14-1515-16 Fine to Medium Sand, 16-1717-18 Fine to Medium Sand with abundant shell material and/or pebbles, 18-1919-20 Coarse Sand with varying amounts of pebbles, 20-2121-2222-23 Moderate Shell Material/Sandy Pebbles, 23-2424-2525-26 Abundant Shell Material/Gravel, 26-2727-28 Dense Oyster Shell

Original contact information:

Contact Name: Bartholomew Wilson

Contact Org: Delaware DNREC Coastal Programs

Phone: 302-739-9283

Purpose:

The bottom sediment maps were constructed to aid in the identification of essential fish Habitat (EFH), identify locations of potential borrow sites for beach replenishment, identify important locations for marine protection areas, and aid in the assessment of sediment dynamic of Delaware River and Bay.

Notes:

10099

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Benthic
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Coastal
Global Change Master Directory (GCMD) Science Keywords Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Estuary
ISO 19115 Topic Category environment
None Benthic Habitat
None Bottom Sediments
None Environmental Monitoring

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > Delaware
None Delaware
None Delaware River
None Delaware River/Bay

Stratum Keywords

Thesaurus Keyword
None Sediment Water Interface
None Surface Sediment Mapping

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: Map (digital)
Distribution Liability:

NOAA manages much of the data to users of digital geographic data.NOAA is in no way condoning or endorsing the application of this data for any given purpose.It is the sole responsibility of the user to determine whether or not the data is suitable for the intended purpose.It is also the obligation of the user to apply the data in an appropriate and conscientious manner. NOAA provides no warranty,nor accepts any liability occurring from any incomplete,incorrect, or misleading data, or from any incorrect,incomplete, or misleading use of the data. Much of the data is based on and maintained with ARC/GIS software developed by the Environmental Systems Research Institute (ESRI). In addition, much of the information presented uses conventions and terms popularized by ARC/GIS and its user community. NOAA in no way represents the interests of ESRI,nor acts as agents for them.

Data Set Credit: Bartholomew Wilson P.G., DNREC Delaware Coastal Program Bartholomew.Wilson@state.de.us John Madsen Ph.D., University of Delaware Geosciences Department jmadsen@udel.edu

Support Roles

Data Steward

CC ID: 613762
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 613764
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 613765
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 613763
Date Effective From: 2007
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 613768
W° Bound: -75.613208
E° Bound: -75.209328
N° Bound: 39.833043
S° Bound: 39.15493

Extent Group 1 / Time Frame 1

CC ID: 613767
Time Frame Type: Range
Start: 2005
End: 2007

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 613754
Dimension Count: 3
Cell Geometry: Area
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 1500

Axis Dimension 2

Dimension Type: Column
Size: 689

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
Security Classification System:

Public Data

Security Handling Description:

No special security handling procedures needed.

Data Access Constraints:

None

Data Use Constraints:

Public Information.This data should be used for resource mapping and comparison purposes only. While every effort has been made to ensure that these data are accurate and reliable within limits of the state of the art, the State of Delaware and the Delaware Coastal program will not assume any liability for damages caused by any inaccuracies in these data, or failure in their use.

Distribution Information

Distribution 1

CC ID: 750660
Download URL: ftp://ftp.coast.noaa.gov/pub/benthic/Benthic_Cover_Data/DE_DelawareBay.zip
Distributor:
File Name: Bulk Download
Description:

FTP download of data files.

URLs

URL 1

CC ID: 750662
URL: https://coast.noaa.gov
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
Description:

Information on the NOAA Office for Coastal Management (OCM)

Activity Log

Activity Log 1

CC ID: 613783
Activity Date/Time: 2017-03-30
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 613782
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 750661
Activity Date/Time: 2018-04-11
Description:

Partial upload to move data access FTP links to Distribution Info and remove broken URLs.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.0.1770

Data Quality

Accuracy:

Ground truth information was collected at the time of the original surveys to calibrate the mapping and ensure the accuracy of the bottom sediment classification.

Completeness Report:

All the information captured during the initial surveys and analysis are retained in this data set.

Conceptual Consistency:

Ground truth information was collected at the time of the original surveys to calibrate the mapping and ensure the accuracy of the bottom sediment classification.

Lineage

Sources

Bottom Sediment Classification-Delaware River and Upper Bay

CC ID: 613750
Contact Name: Delaware Coastal Program (DNREC)
Extent Type: Range
Extent Start Date/Time: 2005
Extent End Date/Time: 2007
Source Contribution:

RoxAnn Single-Beam surveys provided the native information for this modeled raster. | Source Geospatial Form: raster digital data | Type of Source Media: CD-ROM

Process Steps

Process Step 1

CC ID: 613751
Description:

Data was collected in a gridded trackline configuration, with tracklines spacing of 100 meters parallel to the shoreline

and 200 meters perpendicular to the shoreline. This project is an extension of the work currently being performed in Delaware

waters by DNREC's Delaware Coastal Program's Delaware Bay Benthic Mapping Project. The bottom sediment point data, which has been

classified according to the existing benthic mapping Roxann box plot, are converted from a number that categorizes the point

according to its corresponding box (in the Roxann) into a number which reflects the sediment properties of each box in relation to

one another. A ranking scale is used to allow a statistical griding scheme to interpolate between sediment data points, while

minimizing erroneous sediment classifications and allowing gradational sediment deposits to be gridded. A ranking scale from 0 to

28 was used for this project, with 0 representing the finest grained classifications (fluidized clay) and 28 representing the

coarsest grained classifications (dense shell material). Table 1 illustrates the distribution of sediment classifications along the

ranking scale, which takes into account the relation of sediment types and grain sizes to one another using both the Wentworth

Scale and Shepard's classification system. Finer grains are more similar in their deposition environments, such as clay and silts,

because they reflect similar current regimes, sorting, and reworking patterns (Poppe et al., 2003). While coarse sediments are much

more dissimilar to finer grains, with respect to current velocities, sorting, and winnowing, the finer grains are much more closely

related in their sediment diameters that the coarser grains as you increase in Phi size and/or diameter. These account for the

close clustering of coarse grained deposit descriptions at the upper end of the ranking scale, while the finer grained sediments

show a gradation as you increase in the rating scale.

Process Step 2

CC ID: 613752
Description:

The bottom sediment data is gridded in Surfer 8, a surface and terrain

modeling program, using block kriging and a nugget effect. This statistical griding technique estimates the average value of a

variable within a prescribed local area (Isaaks and Srivastava, 1989). Block kriging utilizes the existing point data values,

weights the values of the data depending upon the proximity to the point being estimated, to discretize the local area into an

array of estimated data value points and then averaging those individual point estimates together to get an average estimated value

over the area of interest (Isaaks and Srivastava, 1989). A variogram is constructed for the data, and the resultant spatial model

that is developed from the variogram is used in the block kriging surface model to more accurately interpolate the sediment data.

The fitted model was a nugget effect (with an error variance of 21.8%) and a linear model (with a slope of 0.00286 and an

anisotropy of 1, which represents a complete lack of spatial correlation). The accuracy of the estimation is dependent upon the

grid size of the area of interpolation, the size of each cell within the grid, and the number of discretized data points that are

necessary to estimate the cells within that grid spacing. The grid size that was used to interpolate the bottom sediment maps was

442 lines x 454 lines, with a cell size of 44.93 m2. The nugget effect is added to allow the griding to assume there is very

little, if any, lateral correlation or trends within the bottom sediment (Isaaks and Srivastava, 1989). The nugget effect model

entails a complete lack of spatial correlation; the point data values at any particular location bear no similarity even to

adjacent data values (Isaaks and Srivastava, 1989). Without the nugget effect the griding would assume that you could only have a

linear progression of sediment types and would insert all the sediment types along the scale between two sediment types (i.e. silty

fine to medium sands and fine to medium sand with varying amounts of pebbles would be inserted between fine sand and coarse sand even though that is not what is occurring along the bottom. The sediment data is gridded with no drift for the data interpolation, also helping to minimize erroneous classifications. Sediment Classification Ranking Sediment Description 0-11-2 Clay, 2-33-44-55-66-7 Silt, 7-88-9 Sandy Silts, 9-1010-11 Fine Sand, 11-1212-13 Silty Fine to Medium Sands, 13-14 Silty Medium Sand, 14-1515-16 Fine to Medium Sand,16-1717-18 Fine to Medium Sand with abundant shell material and/or pebbles, 18-1919-20 Coarse Sand with varying amounts of pebbles, 20-2121-2222-23 Moderate Shell Material/Sandy Pebbles, 23-2424-2525-26 Abundant Shell Material/Gravel, 26-2727-28 Dense Oyster Shell.

Catalog Details

Catalog Item ID: 47943
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-14 12:57+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2019-07-02 15:17+0000
Metadata Record Published: 2018-04-11
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2019-04-12