DISSOLVED AND GASEOUS FLUXES OF CARBON AND NITROGEN FROM URBAN WATERSHEDS OF THE CHESAPEAKE BAY

Carbon and nitrogen loading to streams and rivers contributes to eutrophication as well as greenhouse gas (GHG) production in streams, rivers and estuaries. My dissertation consists of three research chapters, which examine interactions and potential trade-offs between water quality and greenhouse gas production in urban streams of the Chesapeake Bay watershed. My first research project focused on drivers of carbon export and quality in an urbanized river. I found that watershed carbon sources (soils and leaves) contributed more than in-stream production to overall carbon export, but that periods of high in-stream productivity were important over seasonal and daily timescales. My second research chapter examined the influence of urban storm-water and sanitary infrastructure on dissolved and gaseous carbon and nitrogen concentrations in headwater streams. Gases (CO2, CH4, and N2O) were consistently super-saturated throughout the course of a year. N2O concentrations in streams draining septic systems were within the high range of previously published values. Total dissolved nitrogen concentration was positively correlated with CO2 and N2O and negatively correlated with CH4. My third research chapter examined a long-term (15-year) record of GHG emissions from soils in rural forests, urban forest, and urban lawns in Baltimore, MD. CO2, CH4, and N2O emissions showed positive correlations with temperature at each site. Lawns were a net source of CH4 + N2O, whereas forests were net sinks. Gross CO2 fluxes were also highest in lawns, in part due to elevated growing-season temperatures. While land cover influences GHG emissions from soils, the overall role of land cover on this flux is very small (< 0.5%) compared with gases released from anthropogenic sources, according to a recent GHG budget of the Baltimore metropolitan area, where this study took place.

On Experiencers and Minimality

This dissertation is concerned with experiencer arguments, and what they tell us about the grammar. There are two main types of experiencers I discuss: experiencers of psychological verbs and experiencers of raising constructions. I question the notion of ‘experiencers’ itself; and explore some possible accounts for the ‘psych-effects’. I argue that the ‘experiencer theta role’ is conceptually unnecessary and unsustained by syntactic evidence. ‘Experiencers’ can be reduced to different types of arguments. Taking Brazilian Portuguese as my main case study, I claim that languages may grammaticalize psychological predicates and their arguments in different ways. These verb classes exist in languages independently, and the psych-verbs behavior can be explained by the argument structure of the verbal class they belong to. I further discuss experiencers in raising structures, and the defective intervention effects triggered by different types of experiencers (e.g., DPs, PPs, clitics, traces) in a variety of languages. I show that defective intervention is mostly predictable across languages, and there’s not much variation regarding its effects. Moreover, I argue that defective intervention can be captured by a notion of minimality that requires interveners to be syntactic objects and not syntactic occurrences (a chain, and not a copy/trace). The main observation is that once a chain is no longer in the c-command domain of a probe, defective intervention is obviated, i.e., it doesn’t apply. I propose a revised version of the Minimal Link Condition (1995), in which only syntactic objects may intervene in syntactic relations, and not copies. This view of minimality can explain the core cases of defective intervention crosslinguistically.

Evaluation of Information Entropy from Acoustic Emission Waveforms as a Fatigue Damage Metric for Al7075-T6

Information entropy measured from acoustic emission (AE) waveforms is shown to be an indicator of fatigue damage in a high-strength aluminum alloy. Several tension-tension fatigue experiments were performed with dogbone samples of aluminum alloy, Al7075-T6, a commonly used material in aerospace structures. Unlike previous studies in which fatigue damage is simply measured based on visible crack growth, this work investigated fatigue damage prior to crack initiation through the use of instantaneous elastic modulus degradation. Three methods of measuring the AE information entropy, regarded as a direct measure of microstructural disorder, are proposed and compared with traditional damage-related AE features. Results show that one of the three entropy measurement methods appears to better assess damage than the traditional AE features, while the other two entropies have unique trends that can differentiate between small and large cracks.