Lower Barataria Bay and Lower Breton Sound soil texture model

Resource type: Composite Resource
Storage: The size of this resource is 69.1 MB
Created: Sep 03, 2019 at 7:13 p.m.
Last updated: Sep 04, 2019 at 7:14 p.m.
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Content types: Single File Content 
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Wetlands in the Mississippi River Delta Plain (MRDP) have been suffering from a high rate of land loss. Sediment cores have been drilled into the wetlands to understand their growth and degradation, and to provide subsurface information for the coastal protection and restoration projects. However, few three-dimensional (3-D) stratigraphy models have been developed for the wetlands on a regional scale, due to difficulties in correlating large amount of spatial scattered subsurface data and integrated visualization of stratigraphic features and topobathymetric features. In this study, a 3-D model was constructed in the Lower Barataria Bay (LBB) and the Lower Breton Sound (LBS), covering an area of 190 km2 and extending from 0.5 m to -4 m in elevation. Sediment composition (sand%, silt% and clay%) was spatially interpolated, using a compositional kriging method, extended from ordinary kriging by a log-ratio transformation. Instead of visualizing three composition components independently, sediment composition was translated into sediment texture to be visualized as sediment types. Modeling results intuitively show spatial distribution of stratigraphic features and their spatial relationships with topobathymetric features such as marsh surface, river channel and dredging channels. Results show a silty depositional package, which consists of crevasse splays and periodic overbank flooding deposits, made up the largest portion of the wetlands. A clayey blanket is observed to cover most part of the LBB and landward side of the LBS. A large area of clayey blanket in the seaward part of the LBS has apparently been eroded away, which is likely caused by coastal reworking processes.

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Resource Level Coverage


Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Lower Barataria Bay and Lower Breton Sound
North Latitude
East Longitude
South Latitude
West Longitude



### Description of the files

(1) LBB_LBS_texture_cell_values.txt

	This file contains a column of cell values for the stratigraphy model in Lower Barataria Bay and Lower Breton Sound.
	Model grid is stored in LBB_LBS_texture.vtu file.
	The cell values indicate different sediment types:
	2=loamy sand;
	3=sandy loam;
	5=silt loam;
	7=sandy clay loam;
	8=clay loam;
	9=silty clay loam;
	10=sandy clay;
	11=silty clay;
(2) LBB_LBS_texture.vtu
	Grid for the stratigraphy model.

### Instruction for model visualization
The vtu files can be visualized in Paraview, Aquaveo GMS, or similar programs.
Use the cell value files (e.g. CellValue_Robertson86.txt) to assign values for all the cells in the grid system.
To have better view of the stratigraphy models, the models can be vertically exaggerated. 


Related Resources

The content of this resource serves as the data for: Li, A., Tsai, F.T.C., Xu, K., Wang, J., White, C.M., Bentley, S.J. and Chen, Q.J., 2019. Modeling sediment texture of river-deltaic wetlands in the Lower Barataria Bay and Lower Breton Sound, Louisiana, USA. Geo-Marine Letters, 39(2), pp.161-173. https://doi.org/10.1007/s00367-019-00566-2


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Department of the Treasury Resources and Ecosystems Sustainability, Tourist Opportunities, and Revived Economies of the Gulf Coast States Act of 2012 (RESTORE Act) RCEGR260003-01-00, CPRA-2013-T11-SB02-DR, CPRA-2013-TO15-SB02-MA, and CPRA-2013-TO16-SB02-MA
U.S. Geological Survey through Louisiana Water Resources Research Institute G16AP00056

How to Cite

Li, A., F. Tsai, K. Xu, J. Wang, C. White, S. Bentley, Q. Chen (2019). Lower Barataria Bay and Lower Breton Sound soil texture model, HydroShare, http://www.hydroshare.org/resource/aef559c660454b76b3e413d0656d7b48

This resource is shared under the Creative Commons Attribution CC BY.



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