Short Citation:
Office for Coastal Management, 2021: Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding - NERRS/NSC(NERRS Science Collaborative), https://www.fisheries.noaa.gov/inport/item/47705.

Item Identification

Title: Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding - NERRS/NSC(NERRS Science Collaborative)
Short Name: Understanding the Role Coastal Marshes Play in Protecting Communities from Storm Surge and Flooding - NERRS/NSC(NERRS Science Collaborative)
Status: Completed
Publication Date: 2020-09
Abstract:

The research team developed a vegetation-resolving three-dimensional surge-wave model to simulate storm impacts on Piermont Marsh and the adjacent Village. The model incorporated locally collected data on plant distribution and structure, as well as observed and simulated wind and water level data from the Hudson River. By modeling the impacts of Superstorm Sandy, they found that marsh vegetation with predominantly invasive common reed, Phragmites australis, reduced 66% of the wave energy, but less than 1% of the flood, at the Village. The marsh vegetation also significantly prevented transport of debris from the southeastern corner of the marsh. If managers were to replace Phragmites with the shorter, native cattail, Typha angustifolia , simulations of Sandy, which occurred in October, suggest that Piermont Marsh’s wave and debris buffering capacity would be preserved. However, had Sandy occurred in May/June when Typha is much shorter and sparser, the marsh would have been unable to buffer the wave and debris as effectively. The Piermont Marsh Coastal GeoTool allows Village of officials and resource managers to explore how homes and buildings would be impacted under marsh management and sea-level rise scenarios.

Purpose:

The Village of Piermont is located along the Hudson River in New York and is adjacent to a large tidal marsh that is dominated by the tall invasive grass, Phragmites (common reed). Resource managers from the Hudson River National Estuarine Research Reserve are interested in restoring native grasses such as cattails in the marsh, but they do not want to impact the wetland’s ability to protect the Village from the waves and flooding caused by severe storms. In partnership with the local community, researchers, led by Y. Peter Sheng, PhD., designed and applied state-of-the-art coastal and hurricane models to address these questions: (1) What is the flooding risk for the Village of Piermont under current and future conditions? (2) What role does Piermont Marsh play in buffering the village from present and future flood, surge and wave damage? (3) How would the marsh’s buffering services be changed if marsh managers were to restore native vegetation a phased approach to a portion of the marsh? (4) What is the economic value of the buffering services the marsh provides, now and in the future?

Notes:

Loaded by FGDC Metadata Uploader, batch 10159, 10-31-2017 15:33

Supplemental Information:

Peter Sheng

Engineering School of Sustainable Infrastructure and Environment, University of Florida

pete@coastal.ufl.edu

==About these datasets

Three project datasets have been archived with the NERRS Centralized Data Management Office and can be requested through individual data requests forms.

==Hydrologic Data: Observed Water Level in Sparkill Creek

This dataset includes observed water level at a dock located on the Sparkill Creek (Piermont, NY) recorded during high water level events occurring over a span of ~7 months using a pressure sensor and an experimental radar sensor.

Contact for Hydrologic Data: Ronald Busciolano, USGS New York Water Science Center, Email: rjbuscio@usgs.gov

==Vegetation Data: Marsh Vegetation and Plant Dimensions

This dataset includes herbaceous marsh vegetation data from two marsh sites along the Hudson River, NY - Iona Marsh and Piermont Marsh. Plant stem density and physical plant dimensions were measured by hand and with a Riegl 400 terrestrial laser scanner.

Contact for Vegetation Data: Christine Angelini, University of Florida, Email: c.angelini@ufl.edu

==Flood and Wave Maps: Model Generated Flood and Wave Height Maps

These are model generated maps of the predicted 1% flood (0.01 annual exceedance probability) and the predicted 1% wave height (0.01 annual exceedance probability) for 7 scenarios that mimic different stages of marsh management and future projections of sea level rise.

Contact for Flood and Wave Maps: Y. Peter Sheng, University of Florida, Email: pete@coastal.ufl.edu

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
NASA Global Change Master Directory (GCMD) Science and Services Keywords EARTH SCIENCE > BIOSPHERE > AQUATIC ECOSYSTEMS > COASTAL HABITAT
NASA Global Change Master Directory (GCMD) Science and Services Keywords EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL GOVERNANCE/MANAGEMENT
NASA Global Change Master Directory (GCMD) Science and Services Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > MARSHES
NASA Global Change Master Directory (GCMD) Science and Services Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > STORM SURGE
NASA Global Change Master Directory (GCMD) Science and Services Keywords EARTH SCIENCE SERVICES > MODELS
None flood map
None maximum wave height
None Phragmites australis
None pressure sensor
None radar sensor
None Typha angustifolia
None water level

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
None Hudson River NERR, NY
None piermont
None sparkill creek
None Village of Piermont and Piermont Marsh, New York

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

The distributor does not assume liability.

Support Roles

Data Steward

CC ID: 1042919
Date Effective From: 2015
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/

Distributor

CC ID: 1042920
Date Effective From: 2015
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/

Metadata Contact

CC ID: 596225
Date Effective From: 2017-10-31
Date Effective To:
Contact (Person): Cothran, Jeremy
Email Address: jeremy.cothran@gmail.com

Originator

CC ID: 598504
Date Effective From: 2016-11
Date Effective To:
Contact (Person): Sheng, Peter
Email Address: pete@coastal.ufl.edu

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 596224
W° Bound: -74
E° Bound: -73.9
N° Bound: 41.32
S° Bound: 41.27
Description

Hudson River, NY NERR

Extent Group 1 / Geographic Area 2

CC ID: 1042151
W° Bound: -73.94
E° Bound: -73.875
N° Bound: 41.06
S° Bound: 41
Description

Piermont

Extent Group 1 / Time Frame 1

CC ID: 596223
Time Frame Type: Range
Start: 2016-11
End: 2020-09

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

Cite this dataset when used as a source: NOAA retains the right to analyze, synthesize and publish summaries of the NERRS/NSC data. The NERRS/NSC retains the right to be fully credited for having collected and process the data. Following academic courtesy standards, the NERR site where the data were collected should be contacted and fully acknowledged in any subsequent publications in which any part of the data are used. The data enclosed within this package/transmission are only as accurate as the quality assurance and quality control procedures that are described in the associated metadata reporting statement allow. The user bears all responsibility for its subsequent use/misuse in any further analyses or comparisons. The Federal government does not assume liability to the Recipient or third persons, nor will the Federal government reimburse or indemnify the Recipient for its liability due to any losses resulting in any way from the use of this data. Requested citation format: NOAA National Estuarine Research Reserve System (NERRS) Science Collaborative(NSC).

Distribution Information

Distribution 1

CC ID: 1042921
Download URL: http://www.nerrssciencecollaborative.org/project/Sheng16
Distributor: Office for Coastal Management (OCM) (2015 - Present)
File Name: Sheng16
File Type: Multiple formats

URLs

URL 1

CC ID: 598355
URL: http://www.nerrssciencecollaborative.org/project/Sheng16
URL Type:
Online Resource
Description:

Data access and archival: The three project datasets described in this document have all been archived with the NERRS Centralized Data Management Office and can be requested through individual data requests forms aces on the Science Collaborative website: http://www.nerrssciencecollaborative.org/project/Sheng16

List of project datasets

1. Hydrologic Data: Observed Water Level in Sparkill Creek

2. Vegetation Data: Marsh Vegetation and Plant Dimensions

3. Flood and Wave Maps: Model Generated Flood and Wave Height Maps

Data Quality

Representativeness:

N/A

Quality Control Procedures Employed:

This information is detailed within the project links.

Lineage

Lineage Statement:

This information is detailed within the project links.

Sources

N/A

CC ID: 1042923

Process Steps

Process Step 1

CC ID: 1042924
Description:

N/A

Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 47705
Metadata Record Created By: Jeremy Cothran
Metadata Record Created: 2017-10-31 15:33+0000
Metadata Record Last Modified By: Jeremy Cothran
Metadata Record Last Modified: 2021-05-05 13:36+0000
Metadata Record Published: 2019-11-08
Owner Org: OCM
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2020-11-08