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A Little Known Trade Deal Could Soon Derail America's Booming Solar Industry, Sam Donnenberg Dec 2017

A Little Known Trade Deal Could Soon Derail America's Booming Solar Industry, Sam Donnenberg

Capstones

A trade deal has been winding its way through hearings at the International Trade Commission for months that could have major consequences for America's solar energy industry. Two solar energy companies are requesting that tariffs be applied to Chinese solar product imports. But industry analysts say this will cause the price of solar to rise and harm the industry during a period of unprecedented growth. The petition has only one stop left on its way to approval: The desk of President Trump.

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Hazmat Storage Near Nyc Waterways Endangers Communities, Brett E. Dahlberg, Nicole Acevedo Dec 2017

Hazmat Storage Near Nyc Waterways Endangers Communities, Brett E. Dahlberg, Nicole Acevedo

Capstones

New York City has 520 miles of shoreline--that’s more than Miami and Los Angeles combined. These waterfronts are home to some of the city’s most polluted sites because major part of it is zoned for industrial use. Dozens of industrial plants in this area store toxic chemicals in flood zones: substances that are hazardous to our health, like Benzene, which is used in rocket fuel, toluene, a paint thinner, and lead a neurotoxin. In a flood, these chemicals can easily get caught up in moving waters and pollute entire neighborhoods.

That’s exactly what happened when Hurricane Sandy hit in 2012. …


Machine Learning Algorithms For Automated Satellite Snow And Sea Ice Detection, George Bonev Sep 2017

Machine Learning Algorithms For Automated Satellite Snow And Sea Ice Detection, George Bonev

Dissertations, Theses, and Capstone Projects

The continuous mapping of snow and ice cover, particularly in the arctic and poles, are critical to understanding the earth and atmospheric science. Much of the world's sea ice and snow covers the most inhospitable places, making measurements from satellite-based remote sensors essential. Despite the wealth of data from these instruments many challenges remain. For instance, remote sensing instruments reside on-board different satellites and observe the earth at different portions of the electromagnetic spectrum with different spatial footprints. Integrating and fusing this information to make estimates of the surface is a subject of active research.

In response to these challenges, …


Walking As Ontological Shifter: Thoughts In The Key Of Life, Bibi (Silvina) Calderaro Sep 2017

Walking As Ontological Shifter: Thoughts In The Key Of Life, Bibi (Silvina) Calderaro

Dissertations, Theses, and Capstone Projects

With walking as ontological shifter I pursue an alternative to the dominant modernist episteme that offers either/or onto-epistemologies of opposition and their reifying engagements. I propose this type of walking is an intentional turning towards a set of radical positions that, as integrative aesthetic and therapeutic practice, brings multiplicity and synchronicity to experience and being in an expanded sociality. This practice facilitates the conditions of possibility for recurring points of contact between the interiority perceived as ‘body’ and the exteriority perceived as ‘world.’ While making evident the self’s at once incoherence with it-self, it opens to a space beyond the …


Machine Learning Approach To Retrieving Physical Variables From Remotely Sensed Data, Fazlul Shahriar Sep 2017

Machine Learning Approach To Retrieving Physical Variables From Remotely Sensed Data, Fazlul Shahriar

Dissertations, Theses, and Capstone Projects

Scientists from all over the world make use of remotely sensed data from hundreds of satellites to better understand the Earth. However, physical measurements from an instrument is sometimes missing either because the instrument hasn't been launched yet or the design of the instrument omitted a particular spectral band. Measurements received from the instrument may also be corrupt due to malfunction in the detectors on the instrument. Fortunately, there are machine learning techniques to estimate the missing or corrupt data. Using these techniques we can make use of the available data to its full potential.

We present work on four …


Lichen Conservation In Eastern North America: Population Genomics, Climate Change, And Translocations, Jessica Allen Jun 2017

Lichen Conservation In Eastern North America: Population Genomics, Climate Change, And Translocations, Jessica Allen

Dissertations, Theses, and Capstone Projects

Conservation biology is a scientific discipline that draws on methods from diverse fields to address specific conservation concerns and inform conservation actions. This field is overwhelmingly focused on charismatic animals and vascular plants, often ignoring other diverse and ecologically important groups. This trend is slowly changing in some ways; for example, increasing number of fungal species are being added to the IUCN Red-List. However, a strong taxonomic bias still exists. Here I contribute four research chapters to further the conservation of lichens, one group of frequently overlooked organisms. I address specific conservation concerns in eastern North America using modern methods. …


Land Change History Of Oil Palm Plantations In Northern Bengkulu Province, Sumatra Island, Reconstructed From Landsat Satellite Archives, Atsushi Tomita Feb 2017

Land Change History Of Oil Palm Plantations In Northern Bengkulu Province, Sumatra Island, Reconstructed From Landsat Satellite Archives, Atsushi Tomita

Dissertations, Theses, and Capstone Projects

The aim of this study is to reconstruct the history of land conversion to oil palm plantation in tropical Asia using multi-temporal satellite data. A new method was constructed with a newly developed computer model, Land Change Detection and Land Definition Model (LC/LD Model) to map out spatio-temporal distribution of land changes. A comprehensive, cloud-free Landsat dataset was created from all the available Landsat data from 1988 to 2015. The pixel-based dataset was converted into a polygon-based dataset by applying the multi-temporal image segmentation method. The representation of the spectral information was also reduced to a single index of IB45, …


Removal Of Organic Micro-Pollutants From Water Using Sewage Sludge Based Composite Adsorbents, Rui Ding Feb 2017

Removal Of Organic Micro-Pollutants From Water Using Sewage Sludge Based Composite Adsorbents, Rui Ding

Dissertations, Theses, and Capstone Projects

Millions of tons of sewage sludge, waste oil sludge and fish waste are produced annually, and improper treatment/disposal of these wastes have resulted in numerous environmental issues. On the other hand, these wastes are rich in organic materials, metals, and inorganic minerals and could be sustainable resources if utilized properly. The main purpose of this dissertation study was, therefore, to convert these wastes into composite adsorbents, and then use these adsorbents to remove various types of organic pollutants, emerging organic contaminants in particular, from wastewater and drinking water sources.

It is hypothesized that a hydrophobic carbon phase in the composite …


Impact Of Urbanization On Temperature Variation In Big Cities: Measuring Health Risk While Targeting Vulnerable Population, Maryam E. Karimi Feb 2017

Impact Of Urbanization On Temperature Variation In Big Cities: Measuring Health Risk While Targeting Vulnerable Population, Maryam E. Karimi

Dissertations, Theses, and Capstone Projects

Densely populated cities are experiencing Urban Heat Island (UHI) effects and localized hotspots. Cities, such as New York can form heat islands all year round. This is primarily due to land surface modifications, radiative trapping in urban canyons and lack of cooling through evapotranspiration caused by displaced trees and vegetation. UHI refers to an increase in air and surface temperature in cities compared to surrounding suburban and rural areas. Large scale environmental forcing can cause subdivisions of UHI throughout a city. The combined of environmental forcing effects lead to the formation of hot pockets within the cities at micro-scale. The …