Ground-water resources data of Charlotte, DeSoto, and Hardee Counties, Florida

Charlotte, De Soto, and Hardee counties are east-southeast of Tampa in west-central peninsular Florida, figure 1. In order to plan the future water-resource development of the area, information about the water resources is needed. To meet this need, the Water Resources Division of the U.S. Geological Survey, in cooperation with the Peace River Basin Board of the Southwest Florida Water Management District as part of the statewide cooperative program with the Division of Geology, Florida Board of Conservation, began a continuing hydrologic data collection program in July, 1963, as an initial step in the investigation and evaluation of the groundwater resources of Hardee and De Soto counties. A similar hydrologic data program commenced in Charlotte County in July, 1964. Previous work in Hardee and De Soto counties included a one year reconnaissance by the Division of Water Resources and Conservation, Florida Board of Conservation, which concluded in June, 1963, and resulted in a hydrologic report (Woodard, 1964). As an outgrowth of the hydrologic data program, a Map Series report portraying the chemical character of water in the Floridan aquifer in the southern Peace River basin was prepared in 1967 (Kaufman and Dion). The data contained herein constitute the basis for the Map Series report. Additional selected data, including records of wells and chemical analyses,, on the ground-water resources of the three county area are also included and are published to make the data available. (Document has 28 pages.)

Biscayne aquifer in Dade and Broward Counties, Florida

The Biscayne Aquifer is the principal source of water for the heavily populated area in the vicinity of West Palm Beach and Miami. The publication of this data is timely and will assist in the intelligent development of the water resources of the area.(PDF has 64 pages)

Mapping social change in U.S. coastal counties: a social atlas of coastal North Carolina

This document represents a pilot effort to map social change in the coastal United States—a social atlas characterizing changing population, demographic, housing, and economic attributes. This pilot effort focuses on coastal North Carolina. The impetus for this project came from numerous discussions about the usefulness and need for a graphic representation of social change information for U.S. coastal regions. Although the information presented here will be of interest to a broad segment of the coastal community and general public, the intended target audience is coastal natural resource management professionals, Sea Grant Extension staff, urban and regional land-use planners, environmental educators, and other allied constituents interested in the social aspects of how the nation’s coasts are changing. This document has three sections. The first section provides background information about the project. The second section features descriptions of social indicators and depictions of social indicator data for 1970, 1980, 1990, and 2000, and changes from 1970 to 2000 for all North Carolina coastal counties. The third section contains three case studies describing changes in select social attributes for subsets of counties. (PDF contains 67 pages)

Income, inequality, and criteria air pollutants in the CAMA counties

Socioeconomic factors have long been incorporated into environmental research to examine the effects of human dimensions on coastal natural resources. Boyce (1994) proposed that inequality is a cause of environmental degradation and the Environmental Kuznets Curve is a proposed relationship that income or GDP per capita is related with initial increases in pollution followed by subsequent decreases (Torras and Boyce, 1998). To further examine this relationship within the CAMA counties, the emission of sulfur dioxide and nitrogen oxides, as measured by the EPA in terms of tons emitted, the Gini Coefficient, and income per capita were examined for the year of 1999. A quadratic regression was utilized and the results did not indicate that inequality, as measured by the Gini Coefficient, was significantly related to the level of criteria air pollutants within each county. Additionally, the results did not indicate the existence of the Environmental Kuznets Curve. Further analysis of spatial autocorrelation using ArcMap 9.2, found a high level of spatial autocorrelation among pollution emissions indicating that relation to other counties may be more important to the level of sulfur dioxide and nitrogen oxide emissions than income per capita and inequality. Lastly, the paper concludes that further Environmental Kuznets Curve and income inequality analyses in regards to air pollutant levels incorporate spatial patterns as well as other explanatory variables. (PDF contains 4 pages)

Socio-economic vulnerability of African Americans in the Gulf coast counties

The states bordering the Gulf of Mexico i.e. Texas, Louisiana, Mississippi, Alabama, and Florida have been historically devastated by hurricanes and tropical storms. A large number of African Americans live in these southern Gulf States which have high percentages of minorities in terms of total population. According to the U.S. Census, the total black population in the United States is about 40.7 million and about one-fourth of them live in these five Gulf States (U.S. Census, 2008). As evidenced from Hurricane Katrina and other major hurricanes, lowincome and under-served communities are usually the hardest hit during these disasters. The aim of this study is to identify and visualize socio-economic vulnerability of the African American population at the county level living in the hurricane risk areas of these five Gulf States. (PDF contains 5 pages)

Workers at Sprint Mill 1953

Five men working in the reinforcement of the Sprint Mill weir in Cumbria, UK. This photo is part of a photo album that includes pictures from 1935 to 1954.

Workers drilling on Hindburn Force in 1954

Two workers drilling on Hindburn Force, North West England, UK, making it more accesible for passing fish. This photo is part of a Photo Album that includes pictures from 1935 to 1954.

Prioritizing county-level well-being: Moving toward assessment of Gulf Coast counties impacted by the Deepwater Horizon Industrial Disaster

To develop a portfolio of indicators and measures that could best measure changes in the social, economic, environmental and health dimensions of well-being in coastal counties we convened a group of experts March 8-9, 2011 in Charleston, SC, U.S.A. The region of interest was of the northern Gulf of Mexico, specifically, those coastal counties most impacted during the explosion and subsequent oil spill from the Macondo Prospect wellhead during the summer of 2010. Over the course of the two-day workshop participants moved through presentations and facilitated sessions to identify and prioritize potential indicators and measures deemed most valuable for capturing changes in well-being related to changes in or disruption of ecosystem services. The experts reached consensus on a list of indicators that are now being operationalized by NOAA researchers. The ultimate goal of this research project is to determine whether a meaningful set of social and economic indicators can be developed to document changes in well-being that occur as a result of changes in ecosystem services. The outcomes and outputs from the workshop that is the subject of this report helped us to identify high-quality indicators useful for measuring well-being.

Antibiotic resistance of Staphylococcus aureus strains isolated from fish processing factory workers

One hundred and twenty two strains of Staphylococcus aureus isolated from throats and palms of 39 workers from 6 fish processing factories situated in and around Cochin were tested for their sensitivity to nine commonly used antibiotics-ampicillin, chloramphenicol, erythromycin, kanamycin, neomycin, penicillin, polymyxin-B, streptomycin and tetracycline. Highest percentage of resistance was observed towards ampicillin followed by penicillin i.e. 64.75% and 59.84%. Resistance towards other antibiotics like tetracycline, polymyxin-B, erythromycin, kanamycin, neomycin, chloramphenicol and streptomycin were shown by 22.95, 16.39, 7.38, 5.74, 3.28 and 1.64% of the isolates respectively.