GULF OF MEXICO'S OFFSHORE OIL PLATFORM WIND POTENTIAL

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WIND POWER SUITABILITY ANALYSIS FOR THE GULF OF MAINE

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MONEY AND EDUCATION: HOW ECONOMIC DISTRIBUTION CORRESPONDS TO ACADEMIC SUCCESS

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Soft money : private foundations of party politics

In the area of campaign financing in federal elections, one of the most controversial issues is that of soft money. Soft money refers to those funds raised by the national party organizations for use on various grassroots and party-building activities. but which are not subject to the restraints of federal campaign finance law. Critics contend that these party-building activitie, such as generic television advertising, voter registration and get-out-the vote drives, provide ancillary benefits to federal candidates and should, therefore, be subject to federal contribution and expenditure limits. Critics further argue that because these funds are not subject to federal law and do benefit federal candidates, the national parties raise monies in amounts and from sources, such as corporations and unions, that are prohibited under federal law. Efforts to gain a better understanding of soft money have been hampered by a lack of data, as the national parties were not required to disclose their soft money receipts and transactions until 1991. The purpose of this study is to analyze data recently made available in an attempt to add the import of empirical evidence to the debate over soft money. The nature, size and timing of soft money contributions are investigated and national party soft money disbursements are examined. The findings suggest that any attempts to reform the soft money system must first consider its compensatory benefits. Most prominently, this includes the extent to which soft money has promoted the resurgence of the national party organizations in the context of election politics.

Gulf of Mexico's Offshore Oil Platform Wind Potential

There are over 6000 natural resource drilling platforms in the Gulf of Mexico, all of which will become obsolete once their deposits are extracted. This study examined one of the possible alternate uses for these platforms, wind power potential. Using ArcGIS the number of platforms was reduced by weighting their distance from National Data Buoy Center wind speed collection points and water depth. Calculations were done to assess the optimal sites remaining, as well as provide an estimate of the energy potential for each site. Data for this project was obtained from the Minerals Management Service (MMS), United States Geological Service (USGS), and National Data Buoy Center (NDBC). A major limitation of this project was a lack of NDBC wind speed buoys, creating large data gaps and excluding many oil rigs that have otherwise high energy potential.

Money and Education: How Economic Distribution Corresponds to Academic Success

Urban sprawl is a significant issue in the United States, one effect of which is the departure of the wealth from cities. This study examined the distribution of wealth in Erie County, New York, focused around Buffalo. The question is then raised, why do those with the money leave the city, and to where do they go? While this study does not attempt to explain all of the reasons, it does examine two significant issues: quality of public school education, and proximity to main highways with easy access to the city. Using ArcGIS, I was able to place the public high schools and their relative ranking over a distribution of per capita income. The results of this analysis show that the wealthiest areas are located within the best school districts. Moreover, the areas where the wealth accumulates are directly connected by major highways.

Wind Power Suitability Analysis for the Gulf of Maine

This map shows one option for a viable energy source that is clean, free and endless: wind power. This map shows that the coast of Maine has the potential space and wind speed to be a location for wind farms. Four NOAA buoys placed in different locations along the Maine coast are the source of the wind speed data for this project. The average wind speed of every ten minutes of every day for the year 2004 were averaged so that each buoy was represented by one number of wind speed measured in meters/ second. The values in between these four buoys were estimated, or interpolated, using ArcGIS. Other factors that I took into consideration during this lab were distance from airports (no wind farm can be with in a three mile radius of an airport ) and distance from counties (no one wants an offshore wind farm that obstructs their view). I calculated the most appropriate locations for a wind farm in ArcGIS, by adding these three layers. The final output shows an area along Mt. Desert to be the most appropriate for development.

Real Money, Real Lessons: In a course called learning by giving, students pursue and allot funding for area nonprofits

Students learn nonprofit ropes by seeking funding for area organizations.