Merthyr Mawr Warren: Potential for Dune Reactivation
This dataset is a compilation of work carried out to assess the geomorphological feasibility of sand dune reactivation at Merthyr Mawr Warren, based on a review of background environmental data, air photographs LiDAR data, a site visit and laboratory analysis of a limited number of sediment samples.
The Merthyr Mawr dunefield is a sediment-starved system which is undergoing re-distribution of sandy sediment from the north-western part to the south-eastern part of the system. Photographic evidence indicates that bare sand and active dunes covered a large part of the area between the late 19th century and the late 1960’s, after which time the dunes became progressively stabilized by vegetation. The period of high dune mobility corresponded with a period of coastal erosion. No long-term wind or wave data are available for the area, but it is hypothesized that coastal erosion, frontal dune blowout development and inland dune mobility were encouraged by high average wind and wave energy conditions, and perhaps a higher frequency of severe storms. Conversely, the period of inland dune stability between the 1970’s and the present day was associated with beach accretion and foredune progradation. It is hypothesized that these changes were driven by lower average wind / wave energy conditions and lower frequency of severe storms.
Bare sand and active parabolic dunes have only been maintained in areas where there is high visitor pressure or other anthropogenic disturbance. The purpose of this data capture was to help inform decisions that may result in potential re-mobilisation work, including impact on existing habitats and stakeholder interests.
- Identification
- Extent
- Distribution
- Quality
- Keywords
- Spatial Reference System
- Content
- Constraints
- Maintenance
- Metadata
Identification
- Identifier
- NRW_DS114691
- Metadata Language
- English
- Lineage
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The methodology used included a processing numerous datasets such as LiDAR (Light Detection And Ranging) and Digital Elevation Model (DEM) background layers date from 2006-2008, base Ordnance Survey (OS) maps date from 1877, 1897, 1934 and 1966, Aerial photography dating from 2009, Admiralty charts dating from 2009 and Particle Size Analyses (PSA) data collected 7 September 2011. In addition 8 sediment samples were collected in the field from surf ace locations (0 to 10 cm depth). The samples were dry-sieved at 'quarter phi' intervals using a mechanical shaker and the raw data processed using the GRADISTAT software package.
- Additional Information
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The report and data collection/assessment builds on previous feasibility study carried out at Kenfig Burrows in 2001 (CCW Contract Science Report No. 971).
- Dataset Reference Date (Publication)
- 2011-11-30
Temporal Extent
- Begin date
- 2011-11-07
- End date
- 2011-11-07
- Topic category
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- Geoscientific information
Extent
Extent
- Geographic Extent
- BRO MORGANNWG - THE VALE OF GLAMORGAN
- Geographic Extent
- PEN-Y-BONT AR OGWR - BRIDGEND
Vertical Extent
- Medin Extent Keyword
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benthic boundary layer
Distribution
- Format Type and Description
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Documents
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- Specification
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[A] The complete final report in Adobe PDF format and the text of the complete final report in Microsoft Word format [B] A series of GIS layers in their native format (Arc .shp) and equivalent MapInfo (.tab format) [C] A Word document detailing the data processing and structure of the GIS layers [D] xyz files for sections A to F, A1 to A6, B1 to B5 and C1 to C6 derived from the LiDAR DEM [E] A Microsoft Excel spreadsheet containing the particle size data [F] A full set of images produced in [jpg] format, identified by figure, appendix and photograph number
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Documents
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Quality
Data quality
- Quality Scope
- Dataset
- Lineage
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The methodology used included a processing numerous datasets such as LiDAR (Light Detection And Ranging) and Digital Elevation Model (DEM) background layers date from 2006-2008, base Ordnance Survey (OS) maps date from 1877, 1897, 1934 and 1966, Aerial photography dating from 2009, Admiralty charts dating from 2009 and Particle Size Analyses (PSA) data collected 7 September 2011. In addition 8 sediment samples were collected in the field from surf ace locations (0 to 10 cm depth). The samples were dry-sieved at 'quarter phi' intervals using a mechanical shaker and the raw data processed using the GRADISTAT software package.
Keywords
Keywords
- Type
- Theme
Citation
- Date (Publication)
- 2008-06-01
Keywords
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NRW Thesaurus
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- coastal geomorphology
- sand dune management
- sand dunes (sand-dunes) (dunes) (see also specifically named dunes)
- Merthyr Mawr Warren
- Type
- Theme
Citation
- Date (Publication)
- 2024-06-19
Keywords
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SeaDataNet Parameter Discovery Vocabulary
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- Coastal geomorphology
- Type
- Theme
Citation
- Date (Publication)
- 2024-06-19
Spatial Reference System
Content
Content Information
NRW Profile
Custom Elements
- NRW Related Title
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Merthyr Mawr warren potential for dune reactivation
- NRW Related Title
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Kenfig sand dunes : potential for dune reactivation
Constraints
Constraints
Limitations on Public Access and Use
- Restriction type
- Other restrictions
Access Constraints Directive
- Limitations
- no limitations
Access Constraints Text
- Other constraints
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The following data is considered OS derived data and is therefore jointly owned by NRW and the Ordnance Survey. NRW may release, publish or disseminate this data freely; providing recipients are made aware of use restrictions (See general use restrictions).
Use Constraints
- Use constraints type
- Other restrictions
- Other constraints
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© CNC/NRW and © Crown copyright, 2011. All rights reserved. Natural Resources Wales, AC0000849444 Third parties seeking to re-use this data require a Licence issued by NRW. It allows re-use, reproduction and dissemination in any format or medium but only for non-commercial purposes, according to the terms and conditions of the Licence. Those seeking commercial re-use require a commercial licence available from the OS. Those seeking commercial re-use for OS derived data require a commercial licence available from the OS.
Metadata
Metadata
- File Identifier
- 4f4c4942-4343-5764-6473-313134363931 XML
- Metadata Language
- English
- Resource type
- Dataset
- Metadata Date
- 2024-11-08T10:02:19.191Z
- Metadata Standard Name
- NRW
- Metadata Standard Version
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1.0