A von Bertalanffy Based Model for the Estimation of Oyster (Crassostrea virginica) Growth on Restored Oyster Reefs in Chesapeake Bay

A model to estimate the mean monthly growth of Crassostrea virginica oysters in Chesapeake Bay was developed. This model is based on the classic von Bertalanffy growth function, however the growth constant is changed every monthly timestep in response to short term changes in temperature and salinity. Using a dynamically varying growth constant allows the model to capture seasonal oscillations in growth, and growth responses to changing environmental conditions that previous applications of the von Bertalanffy model do not capture. This model is further expanded to include an estimation of Perkinsus marinus impacts on growth rates as well as estimations of ecosystem services provided by a restored oyster bar over time. The model was validated by comparing growth estimates from the model to oyster shell height observations from a variety of restoration sites in the upper Chesapeake Bay. Without using the P. marinus impact on growth, the model consistently overestimates mean oyster growth. However, when P. marinus effects are included in the model, the model estimates match the observed mean shell height closely for at least the first 3 years of growth. The estimates of ecosystem services suggested by this model imply that even with high levels of mortality on an oyster reef, the ecosystem services provided by that reef can still be maintained by growth for several years. Because larger oyster filter more water than smaller ones, larger oysters contribute more to the filtration and nutrient removal ecosystem services of the reef. Therefore a reef with an abundance of larger oysters will provide better filtration and nutrient removal. This implies that if an oyster restoration project is trying to improve water quality through oyster filtration, it is important to maintain the larger older oysters on the reef.

Combined heat and power and campus carbon footprint reduction

Gemstone Team Cogeneration Technology

A GOLDEN AGE: FRENCH AND SPANISH CELLO MUSIC FROM SAINT-SAENS TO CASSADO

Motivated by both the delicacy of French music, such as La Mer by Claude Debussy, and the exotic atmosphere of Spanish music, such as Zigeunerweisen by Pablo Sarasate, I decided to investigate the characteristics of French and Spanish cello music from Camille Saint-Saens to Gaspar Cassad6. French cello music flourished from the end ofthel9th to the middle of the 20th century because of the innovation of many unprecedented techniques and experimentation with a variety of sonorities. The Spanish were heavily influenced by the French due to the geographical connection. Cello virtuosi like Auguste Tolbecque, August Franchomme, Pierre Fournier, and Paul Tortelier inspired composers of their day, creating a "golden age" of cello music. This dissertation consisted of three recitals in Gildenhom Recital Hall. The first recital was held on May lOth, 2007 at 5:30pm with pianist David Ballena. The second recital was held on October 14th, 2007 at 2pm with collaborators Minna Han, piano and Jenny Wu, violin. The third recital was held on March 301 2008 at 5:30 with pianist Naoko Takao. Here is the program of the recitals: The first recital: Gabriel Faure(1856-1924): Sonate pour Violoncello et Piano Op.109(1917) Gaspar Cassad6 (1897-1966): Suite per Violoncello Solo (1926) Claude Debussy (1862-1918): Sonate pour Violoncelle et Piano (1915) The second recital: Manuel de Falla (1876-1946): Melodia (1897), Romanza (1898) Camille Saint-Saens (1835-1921): Concerto for Cello and Orchestra No.1 in A minor Op.33 (1873) Maurice Ravel (1875-1973): Sonata for Violin and Cello (1920-22) The third recital: Pablo Casals (1876-1973): Song of the Birds (1925) Edouard Lalo (1823-1892): Concerto for Cello and Orchestra in D Minor (1877) Franscis Poulenc (1899-1963): Sonata for Cello and Piano Op.l43(1940-48)

Investigation of Blast Wave Propagation: Correlating External Pressures to Brain Injury Predictors

Blast-induced Traumatic Brain Injury (bTBI) is the signature injury of the Iraq and Afghanistan wars; however, current understanding of bTBI is insufficient. In this study, novel analysis methods were developed to investigate correlations between external pressures and brain injury predictors. Experiments and simulations were performed to analyze placement of helmet-mounted pressure sensors. A 2D Finite Element model of a helmeted head cross-section was loaded with a blast wave. Pressure time-histories for nodes on the inner and outer surfaces of the helmet were cross-correlated to those inside the brain. Parallel physical experiments were carried out with a helmeted headform, pressure sensors, and pressure chamber. These analysis methods can potentially lead to better helmet designs and earlier detection and treatment of bTBI.