Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 14 of 14

Full-Text Articles in Physical Sciences and Mathematics

Ware River Intensive Watershed Study Data Files - Part 2. Estuarine Receiving Water Quality, Gary F. Anderson Dec 2021

Ware River Intensive Watershed Study Data Files - Part 2. Estuarine Receiving Water Quality, Gary F. Anderson

Data

The Ware River is a small coastal estuary draining into the Chesapeake Bay estuary. VIMS monitored the Ware watershed for rain events, runoff, and impacts to the estuary from April 1979 through July 1981. This entry contains the estuarine receiving water quality monitoring data files for the portion of the study known as Part 2 – Estuarine Receiving Water Quality. A set of stations on the tidal estuarine portion of the river were sampled by-monthly during high slack tide events. The stations were also sampled during 24-hour ‘intensive surveys’ and immediately following storm events to document impacts. Methods and results …


Coastal Natural And Nature-Based Features (Nnbfs) Ranked: Co-Benefits For Coastal Buildings And Target Areas For The Creation Of New Or Restoration Of Nnbfs In Coastal Virginia, Pamela Mason, Jessica Hendricks, Julie Herman May 2021

Coastal Natural And Nature-Based Features (Nnbfs) Ranked: Co-Benefits For Coastal Buildings And Target Areas For The Creation Of New Or Restoration Of Nnbfs In Coastal Virginia, Pamela Mason, Jessica Hendricks, Julie Herman

Data

Community resilience to storm-driven coastal flooding is improved with the presence of natural and nature-based features (NNBFs) such as wetlands, wooded areas, living shorelines, and beaches. These natural and created features can provide multiple benefits for a local community, including mitigating the impacts of storm surge and sea-level rise and allowing communities to take advantage of programmatic incentive programs like FEMA’s Community Rating System and nutrient reduction crediting.

As part of a NOAA-funded project NA17NOS4730142, an exportable geospatial protocol and NNBF ranking methodology was developed with the goal of incentivizing the protection and creation of NNBFs across Chesapeake Bay localities …


Areas Suitable For Living Shorelines: Ranked For Co-Benefits Provided, Pamela Mason, Tamia Rudnicky, Jessica Hendricks, Marcia Berman May 2021

Areas Suitable For Living Shorelines: Ranked For Co-Benefits Provided, Pamela Mason, Tamia Rudnicky, Jessica Hendricks, Marcia Berman

Data

The Center for Coastal Resources Management (CCRM) at the Virginia Institute of Marine Science (VIMS) has been developing tools to guide local governments in shoreline management. Using a number of criteria, the Shoreline Management Model (SMM) determines appropriate shoreline best management practices. This layer contains only those areas determined to be suitable for non-structural plant marsh or plant marsh with sill recommendations. These areas are prioritized using a scoring method that considers nutrient removal potential, benefits provided to coastal buildings, the potential for the project to provide habitat continuity and enhancement, and the potential the project to add resilience for …


Road Accessibility From County Seat Under Flooding: Hampton, Newport News, James City, Poquoson, Williamsburg, York, Accomack, Northampton, Alexandria, Fairfax, Gloucester, Mathews, Middlesex, Molly Mitchell, Jessica Hendricks, Daniel Schatt, Marcia Berman May 2021

Road Accessibility From County Seat Under Flooding: Hampton, Newport News, James City, Poquoson, Williamsburg, York, Accomack, Northampton, Alexandria, Fairfax, Gloucester, Mathews, Middlesex, Molly Mitchell, Jessica Hendricks, Daniel Schatt, Marcia Berman

Data

The impacts of recurrent flooding on roadways present challenging social and economic considerations for all coastal jurisdictions. Maintenance, public and private accessibility, evacuation routes, and emergency services are just a few of the common themes local governments are beginning to address for low-lying roadways currently known to flood. The project implements a protocol developed by CCRM to analyze the level at which road flooding may impact communities and their ability to reach key locations at periodic intervals; through the year 2100 in coastal Virginia. Using a network analysis, road accessibility is evaluated at different levels of flooding (at 0.1 meter …


Physical Vulnerability Index, Karinna Nunez, Molly Mitchell, Alexander Renaud May 2021

Physical Vulnerability Index, Karinna Nunez, Molly Mitchell, Alexander Renaud

Data

The Center for Coastal Resources Management at the Virginia Institute of Marine Science has developed a Physical Vulnerability Index (PVI) for the Chesapeake Bay region. PVI provides a broad perspective on the vulnerability of the Tidewater region, creating a composite measure of general flood impact rather than the threat of any one particular storm track. While there have been a number of efforts to categorize physical risk, the analysis behind this physical vulnerability index allows for application at a variety of scales, such as the county or US Census tract level. Calculating physical risk for geopolitically defined boundaries generates values …


Vims Ferry Pier Ambient Water Monitoring Data, Salinity And Temperature, Daily Summary 1947-2003, Gary F. Anderson Apr 2021

Vims Ferry Pier Ambient Water Monitoring Data, Salinity And Temperature, Daily Summary 1947-2003, Gary F. Anderson

Data

Bulk water parameters of Temperature and Salinity were measured at the VIMS Ferry Pier from 1947 to 2003. Initial methods were undocumented but likely automated with an instrument and chart recorder since the data consists of a daily high and low measurement from which a mean value was derived.

Beginning in 1971 an automated instrument recorded continuously from which 2-hour measurements were made and daily minimum and maxima were derived. Beginning in 1986 an Inter-Ocean CTD instrument placed at mid-depth was interfaced to a digital data logger (Campbell Scientific CRJ) that recorded data every six minutes, resulting in 240 measurements …


Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Anne Arundel County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the immediate …


Vims Hydrofile: Ambient Water Monitoring And Meteorological Data For Chesapeake Bay And Near Coastal Shelf Waters, 1942-1982, Gary F. Anderson Jan 2021

Vims Hydrofile: Ambient Water Monitoring And Meteorological Data For Chesapeake Bay And Near Coastal Shelf Waters, 1942-1982, Gary F. Anderson

Data

Historical ambient water quality and meteorologic conditions from cruises conducted by the Virginia Institute of Marine Science in Chesapeake Bay and nearshore coastal shelf waters over a 40-year period through 1982.

Bulk water parameters were routinely measured during cruises conducted in Chesapeake Bay and nearshore coastal waters conducted by VIMS over four decades. Data were punched on 80-character cards known as ‘Form 1’ format by the VIMS central Computer Center. These were later converted to digital files. For this publication the Form 1 files were unpacked into yearly flat files containing two record types:

Station records - Contain surface observations …


Coastal Virginia Social Vulnerability Index At The Block Group Level, Sarah Stafford, Schyler Vander Schaaf Jan 2021

Coastal Virginia Social Vulnerability Index At The Block Group Level, Sarah Stafford, Schyler Vander Schaaf

Data

Following other social vulnerability indexes, including the SoVI® developed by the Hazards & Vulnerability Research Institute at the University of South Carolina, this vulnerability index is based on a principal component analysis (PCA). PCA is a statistical technique that takes as its input a matrix of interrelated socioeconomic variables – in this case those considered to measure various dimensions of social vulnerability – and creates a new set of orthogonal principal components that extract the important variation the underlying input data while reducing the noise and redundancy in the data. After conducting the PCA, the researcher combines the newly created …


Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Calvert County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the immediate …


Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Talbot County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the immediate …


Ware River Intensive Watershed Study Data Files: Part 1. Nonpoint Source Contributions, Gary F. Anderson Jan 2021

Ware River Intensive Watershed Study Data Files: Part 1. Nonpoint Source Contributions, Gary F. Anderson

Data

The Ware River is a small coastal estuary draining into the Chesapeake Bay estuary. VIMS monitored the Ware watershed for rain events, runoff, and impacts to the estuary from April 1979 through July 1981.

This entry contains the runoff volume, rainfall and water quality monitoring data files for the portion of the study known as Part 1 – Nonpoint source contributions. Streams and small catchments representing suburban, agricultural and forested small basins were monitored regularly and during large rainfall events to estimate pollution loading to the estuary from the watershed. Methods and results are documented in the related literature. Data …


Migration Of The Tidal Marsh Range Under Sea Level Rise For Coastal Virginia, With Land Cover Data, Julie Herman, Molly Mitchell Jan 2021

Migration Of The Tidal Marsh Range Under Sea Level Rise For Coastal Virginia, With Land Cover Data, Julie Herman, Molly Mitchell

Data

The layers in this geodatabase were intended to represent the land that is encompassed by the average tidal range as sea level rises in the Virginia coastal region, including Chesapeake Bay and tributaries, the Atlantic Ocean side of the Eastern Shore, and Virginia Beach. The data layers in this geodatabase represent each two foot range of elevation incremented by 0.5 ft (e.g. 0-2 ft, 0.5-2.5 ft, 1-3 ft, etc.) with the current land cover that exists in that range.

ArcGIS metadata is included in the geodatabase.

Further details are provided in the Geodatabase Information file located from the download tab.


Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi Jan 2021

Gis Data: Dorchester County, Maryland - Shoreline Inventory Data 2020, Karinna Nunez, Marcia Berman, Sharon Killeen, Jessica Hendricks, Tamia Rudnicky, Catherine Riscassi

Data

The shoreline inventory files have been generated to support the application of the Maryland Shoreline Stabilization Model (SSM), developed by the Center for Coastal Resources Management (CCRM), Virginia Institute of Marine Science (VIMS), to enhance and streamline regulatory decision making in Maryland. This shoreline inventory includes the features needed as inputs to run the SSM.

The data developed for the Shoreline Inventory is based on a three-tiered shoreline assessment approach. This assessment characterizes conditions by using observations made remotely at the desktop using high resolution imagery. The three-tiered shoreline assessment approach divides the shorezone into three regions:

1) the immediate …