The Deepwater Horizon oil spill, the second largest marine oil spill in history, contaminated over a thousand kilometers of coastline in the Louisiana salt marshes and seriously threatened this valuable ecosystem. Measuring the impacts of the oil spill over the large and complex coast calls for the application of remote sensing techniques. This study develops a method for post-Deepwater Horizon...

Renewed political and commercial interest in the resources of the Arctic, the reduction in the extent and thickness of sea ice, and the recent failings that led to the Deepwater Horizon oil spill, have prompted industry and its regulatory agencies, governments, local communities and NGOs to look at all aspects of Arctic oil spill countermeasures with fresh eyes. This paper provides an overview ...

The factors that affect cleanup cost are complex and interrelated. Each spill involves a unique set of circumstances that determine cleanup cost. Estimating a universal per-unit cleanup cost is essentially meaningless without taking into consideration factors such as location and oil type, which can profoundly influence costs. This paper examines the host of factors that impact cleanup cost in ...

The Deepwater Horizon spill (2010) was the largest marine oil spill in US waters to date and one of the largest worldwide. To examine effects of the oil spill on an important salt marsh species over time, we conducted a meta-analysis on marsh periwinkles Littoraria irrorata using published and unpublished sources spanning more than 5 yr (2010−2015), including newly available Natural Resources D...

Updating a model framed as a real symmetric quadratic eigenvalue problem to match observed spectral information has been a powerful tool for practitioners in different discipline areas. It is often desirable in updating to match only the part of newly measured data without tampering with the other part of unmeasured and often unknown eigenstructure inhering in the original model. Such an updati...

Model updating concerns the modification of an existing but inaccurate model with measured data. For models characterized by quadratic pencils, the measured data usually involve incomplete knowledge of natural frequencies, mode shapes, or other spectral information. In conducting the updating, it is often desirable to match only the part of observed data without tampering with the other part of...

This paper uses village and household survey data from South India to examine how political geography and politician identity impacts on public good provision. We provide evidence that the nature of this relationship varies by type of public goods. For high spill-over public goods residential proximity to elected representative matters. In contrast, for low spill-over public goods sharing the p...

Nevi şahsına münhasır tek örnek olan Avrupa Birliği (AB), 2. Dünya Savaşı sonrasında teknik alanda başlayan iş birliği alanlarının diğer sektörlere de yayılması ile günümüz supranasyonal yapısına sahip olmuştur. Neo-Fonksiyonalist bir perspektif kömür ve çelik sektörleri özelinde bu süreç, tarihsel rekabet (Ruhr Saarland gibi) alanı olarak değerlendirilmesini mümkün kılmış, kolektif ulus üstü y...

Model updating concerns the modification of an existing but inaccurate model with measured data. For models characterized by quadratic pencils, the measured data usually involve incomplete knowledge of natural frequencies, mode shapes, or other spectral information. In conducting the updating, it is often desirable to match only the part of observed data without tampering with the other part of...

Updating a system modeled as a real symmetric quadratic eigenvalue problem to match observed spectral information has been an important task for practitioners in different disciplines. It is often desirable in the process to match only the newly measured data without tampering with the other unmeasured and often unknown eigenstructure inherent in the original model. Such an updating, known as n...