Geology topics

Research about Galveston, Texas

Source-linked reports with geographic coverage including Galveston, Texas.

5 recordsLinked to original sources

USGS2020

Land subsidence contributions to relative sea level rise at tide gauge Galveston Pier 21, Texas

Relative sea level rise at tide gauge Galveston Pier 21, Texas, is the combination of absolute sea level rise and land subsidence. We estimate subsidence rates of 3.53 mm/a during 1909–1937, 6.08 mm/a during 1937–1983, and 3.51 mm/a since 1983. Subsidence attributed to aquifer-system compaction accompanying groundwater extraction contributed as much as 85% of the 0.7 m relative sea level rise since 1909, and an additional 1.9 m is projected by 2100, with contributions from land subsidence declining from 30 to 10% over the projection interval. We estimate a uniform absolute sea level rise rate of 1.10 mm ± 0.19/a in the Gulf of Mexico during 1909–1992 and its acceleration of 0.270 mm/a 2 at Galveston Pier 21 since 1992. This acceleration is 87% of the value for the highest scenario of global mean sea level rise. Results indicate that evaluating this extreme scenario would be valid for resource-management and flood-hazard-mitigation strategies for coastal communities in the Gulf of Mexico, especially those affected by subsidence.

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USGS2014

A study of salt‐water encroachment in the Galveston Area, Texas

A survey of the ground‐ water resources of the region in which Houston and Galveston are situated was started in December 1930 by the United States Geological Survey in cooperation with the Texas Board of Water Engineers. In connection with this survey a special study is being made of the geochemical relations of the ground‐waters of an area about 25 miles wide and 90 miles long, extending from Galveston northwestward through Houston. This study considers the influence on the ground‐waters of the age and degree of weathering of the outcrop formations, base‐exchange materials, salt ‐domes, and salt ‐ water encroachment . In this paper, however, attention is confined to salt ‐ water encroachment along the line from Galveston to Houston (Fig. 1).

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USGS2014

Value of the electrical log for estimating ground‐water supplies and the quality of the ground water

This paper gives a brief summary of studies of the value of the electrical log for estimating ground‐water supplies and the quality of the water in them made in Texas by the United States Geological Survey and cooperating parties. The electrical log has been found to be especially valuable in the Coastal Plain Region of Texas where the rocks consist mostly of a succession of clays or shales or sandy clays or shales lnterbedded with sands or sandstones. In that region the electrical log has been found to be more useful than the driller's log for correlating the principal water‐bearing horizons over wide areas. The log by itself is not an indicator of the permeability of the water‐bearing beds, nor a safe guide as to the quality of the water in them, but if it is studied in connection with other data, it is sure to tell an interesting and instructive story. Thus far in Texas no extensive studies have been made of the value of the electrical log in limestone aquifers or in sand or sandstone aquifers associated with limestone.

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USGS1992

A geographic information systems technique for monitoring contaminants in Galveston Bay, Texas

A geographic information system (GIS) was used to compile a series of databases containing details concerning metal contamination and pollution sources to study their impacts on the Galveston Bay (TX) ecosystem. Using these databases, a series of maps with various overlays was created with ARC/INFO software. These maps allowed patterns of spatial distribution of numerous variables to be easily visualized so that the impacts of urbanization and industrialization on the natural resources could be examined. Resource managers can use these capabilities in their comprehensive plans for managing individual activities within an overall regulatory framework. The visual displays and cartographic output of the system can be used to locate and identify ecologically sensitive areas and to study trends in these areas over time. These vector GIS techniques have the potential to be more integrated with aerial photography and other remotely sensed data for a more extensive overview of the environment and patterns of interaction

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USGS1988

Field validation of a habitat suitability index model for the American oyster

A habitat suitability index (HSI) model, developed for the American oyster, Crassostrea virginica , along the Gulf of Mexico, was field tested on 38 0.1-ha reef and nonreef sites in Galveston Bay, Texas. The HSI depends upon six (HSI1) or, optionally, eight (HSI2) variables. The six variables are percent of bottom covered with suitable cultch (V 1 ), mean summer water salinity (V 2 ), mean abundance of living oysters (V 3 ) (a gregarious settling factor), historic mean water salinity (V 4 ), frequency of killing floods (V 5 ), and substrate firmness (V 6 ). The optional variables are the abundance of the southern oyster drill Thais haemostoma (V 7 ), and the intensity of the oyster pathogen Perkinsus marinus (V 8 ). The HSI values were lowest at high and low salinity sites and highest at intermediate-salinity sites. To validate the model, the hypothesis that the output of the HSI model was correlated with oyster density was therefore tested. A significant correlation was found between HSI1 and oyster density (Kendall Tau Beta correlation coefficient, τ=0.674, p<0.001, n=38); however, a statistical independence problem exists with the above test, that is, oyster density is both the independent standard for the test and a variable in the model. A regression model was constructed to test the relationship between log-transformed oyster density values (dependent variable) and the other variables of the model (independent variables). Most variation (r 2 =0.72, r=0.85) in the log-transformed density values were explained by a regression model that contained V 2 , V 4 , V 5 , V 6 , V 7 , and V 8 as independent variables. The regression model was useful in constructing a modified HSI model (MHSI). A significant correlation (τ=0.674, p<0.05, n=10) was found between MHSI1 values and oyster densities from reefs closed to harvesting. The MHSI improves upon the original model by (i) simplifying the model structure, (ii) removing the requirement to measure V 3 , (iii) accounting better for the negative effects of high salinity, disease, and parasitism upon oysters, and (iv) eliminating the statistical independence problem by dropping V 3 from the model. The MHSI should be tested against a new, independently-collected data set.

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