Advancements in jet turbulence and noise modeling: accurate one-way solutions and empirical evaluation of the nonlinear forcing of wavepackets

Jet noise reduction is an important goal within both commercial and military aviation. Although large-scale numerical simulations are now able to simultaneously compute turbulent jets and their radiated sound, lost-cost, physically-motivated models are needed to guide noise-reduction efforts. A particularly promising modeling approach centers around certain large-scale coherent structures, called wavepackets, that are observed in jets and their radiated sound. The typical approach to modeling wavepackets is to approximate them as linear modal solutions of the Euler or Navier-Stokes equations linearized about the long-time mean of the turbulent flow field. The near-field wavepackets obtained from these models show compelling agreement with those educed from experimental and simulation data for both subsonic and supersonic jets, but the acoustic radiation is severely under-predicted in the subsonic case. This thesis contributes to two aspects of these models. First, two new solution methods are developed that can be used to efficiently compute wavepackets and their acoustic radiation, reducing the computational cost of the model by more than an order of magnitude. The new techniques are spatial integration methods and constitute a well-posed, convergent alternative to the frequently used parabolized stability equations. Using concepts related to well-posed boundary conditions, the methods are formulated for general hyperbolic equations and thus have potential applications in many fields of physics and engineering. Second, the nonlinear and stochastic forcing of wavepackets is investigated with the goal of identifying and characterizing the missing dynamics responsible for the under-prediction of acoustic radiation by linear wavepacket models for subsonic jets. Specifically, we use ensembles of large-eddy-simulation flow and force data along with two data decomposition techniques to educe the actual nonlinear forcing experienced by wavepackets in a Mach 0.9 turbulent jet. Modes with high energy are extracted using proper orthogonal decomposition, while high gain modes are identified using a novel technique called empirical resolvent-mode decomposition. In contrast to the flow and acoustic fields, the forcing field is characterized by a lack of energetic coherent structures. Furthermore, the structures that do exist are largely uncorrelated with the acoustic field. Instead, the forces that most efficiently excite an acoustic response appear to take the form of random turbulent fluctuations, implying that direct feedback from nonlinear interactions amongst wavepackets is not an essential noise source mechanism. This suggests that the essential ingredients of sound generation in high Reynolds number jets are contained within the linearized Navier-Stokes operator rather than in the nonlinear forcing terms, a conclusion that has important implications for jet noise modeling.

Essays in revealed preference theory and behavioral economics

Time, risk, and attention are all integral to economic decision making. The aim of this work is to understand those key components of decision making using a variety of approaches: providing axiomatic characterizations to investigate time discounting, generating measures of visual attention to infer consumers' intentions, and examining data from unique field settings.

Chapter 2, co-authored with Federico Echenique and Kota Saito, presents the first revealed-preference characterizations of exponentially-discounted utility model and its generalizations. My characterizations provide non-parametric revealed-preference tests. I apply the tests to data from a recent experiment, and find that the axiomatization delivers new insights on a dataset that had been analyzed by traditional parametric methods.

Chapter 3, co-authored with Min Jeong Kang and Colin Camerer, investigates whether "pre-choice" measures of visual attention improve in prediction of consumers' purchase intentions. We measure participants' visual attention using eyetracking or mousetracking while they make hypothetical as well as real purchase decisions. I find that different patterns of visual attention are associated with hypothetical and real decisions. I then demonstrate that including information on visual attention improves prediction of purchase decisions when attention is measured with mousetracking.

Chapter 4 investigates individuals' attitudes towards risk in a high-stakes environment using data from a TV game show, Jeopardy!. I first quantify players' subjective beliefs about answering questions correctly. Using those beliefs in estimation, I find that the representative player is risk averse. I then find that trailing players tend to wager more than "folk" strategies that are known among the community of contestants and fans, and this tendency is related to their confidence. I also find gender differences: male players take more risk than female players, and even more so when they are competing against two other male players.

Chapter 5, co-authored with Colin Camerer, investigates the dynamics of the favorite-longshot bias (FLB) using data on horse race betting from an online exchange that allows bettors to trade "in-play." I find that probabilistic forecasts implied by market prices before start of the races are well-calibrated, but the degree of FLB increases significantly as the events approach toward the end.

Landscape Genetics for the Empirical Assessment of Resistance Surfaces: The European Pine Marten (Martes martes) as a Target-Species of a Regional Ecological Network

Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of these networks to mitigate effects of habitat loss and fragmentation. Landscape genetics provides a particularly valuable framework to address the question of functional connectivity by providing a direct means to investigate the effects of landscape structure on gene flow. The goals of this study are (1) to evaluate the landscape features that drive gene flow of an EN target species (European pine marten), and (2) evaluate the optimality of a regional EN design in providing connectivity for this species within the Basque Country (North Spain). Using partial Mantel tests in a reciprocal causal modeling framework we competed 59 alternative models, including isolation by distance and the regional EN. Our analysis indicated that the regional EN was among the most supported resistance models for the pine marten, but was not the best supported model. Gene flow of pine marten in northern Spain is facilitated by natural vegetation, and is resisted by anthropogenic landcover types and roads. Our results suggest that the regional EN design being implemented in the Basque Country will effectively facilitate gene flow of forest dwelling species at regional scale.

Air Quality and Europeans' Subjective Well-being

[EN]Happiness economics deals with self-reported subjective well-being, or life satisfaction, and its relationship to a wide variety of other variables. On the study of these other factors, this line of research has helped demonstrate that higher levels of environmental quality increase people’s subjective well-being. This paper focuses on analyzing the relationship between subjective well-being and air quality. On the one hand, the life satisfaction approach to environmental valuation is cautiously described, and on the other hand, the method is implemented in an empirical analysis that seeks to assess how an increase in the level of air pollution at a regional level affects individual-level subjective well-being in Europe. We use a dataset that merges the third wave of the European Social Survey (ESS) with a dataset that includes regional air pollution (including CO, PM10, NO2, SO2 and Benzene) and other regional variables. We find a robust negative impact for CO, a positive impact for SO2, and no conclusive evidence of any effect on subjective well-being for the remaining three pollutants.

O fundamento das improbidades na administração pública municipal brasileira

Ao longo da história, poucos fenômenos despertaram tanto interesse dos cidadãos, dispenderam tantos recursos do Estado e contribuíram tanto para o atraso de seu desenvolvimento quanto o problema da corrupção dos agentes públicos. Nesta tese, uso o conceito de improbidade para definir um tipo particular de fenômeno e distingui-lo de outros geralmente abrangidos pelo conceito de corrupção. A partir daí procuro responder as seguintes questões: quais elementos influenciam o processo de tomada de decisão do agente público para que considere o engajamento em uma improbidade? Que fatores estão associados à ocorrência de improbidades na Administração Pública municipal brasileira? Sob a perspectiva da nova economia institucional, a primeira parte da tese procede com a análise conceitual e metodológica do fenômeno, consubstanciado no referencial analíticos das improbidades, sustentando que: a) as improbidades correspondem a um gênero de atitudes oportunistas, dentre as quais se destaca uma espécie denominada transação corrupta; b) o processo de tomada de decisão do agente público, inserido no contexto de racionalidade limitada, orienta-se igualmente por elementos da análise custo-benefício (maximização da utilidade esperada), da dinâmica dos processos de aprendizagem e da barreira ético-moral dos próprios indivíduos. As demais partes da tese apresentam os resultados de uma investigação empírica sistemática, baseada nas informações de uma amostra aleatória de 960 municípios brasileiros auditados pela Controladoria-Geral da União. A análise evidencia os fatores associados à ocorrência das improbidades, tanto sob o ponto vista da literatura tradicional (modernização, capital social e rent-seeking), quanto da nova perspectiva analítica proposta, baseada nos mecanismos de governança. O teste a partir dos modelos tradicionais da literatura demonstra: a) a associação negativa entre a ocorrência das improbidades e os indicadores de desempenho institucional e de desenvolvimento socioeconômico dos municípios (em consonância com os efeitos comumente atribuídos as improbidades); b) a associação negativa entre a ocorrência das improbidades e os indicadores de modernização e de capital social dos municípios (em consonância com as causas comumente atribuídas as improbidades); c) a não associação entre a ocorrência das improbidades nos municípios brasileiros e os indicadores de incentivo ao comportamento rent-seeking (em oposição à clássica proposição de que quanto maior o tamanho do Estado, maior será a ocorrência de improbidades em razão dos incentivos oriundos de seu monopólio). Com base nos resultados obtidos, incorporo os supostos neoinstitucionalistas a análise das improbidades, interpretando-os como decorrência da inadequação das estruturas de governança dos contratos. Assim, para além do impacto do arranjo institucional, que abarca o controle parlamentar, administrativo e jurisdicional interno e externo dos recursos públicos federais transferidos aos municípios, apresento evidências de que as variações observadas na contagem de improbidades nos municípios brasileiros estão diretamente relacionadas à qualidade de seus mecanismos de governança. Dentre esses, destacam-se aqueles de natureza democrática: os mecanismos de controle social (os conselhos municipais de políticas públicas); os mecanismos de promoção da transparência (a qualidade do governo eletrônico); e os mecanismos de accountability (a disputa político-eleitoral). De acordo com o referencial analítico das improbidades, a existência e operação desses mecanismos elevam os custos de transação do agente público que, mesmo superando as limitações da barreira ético-moral e de aprendizado, ainda considera um eventual engajamento nesse gênero de atitudes oportunistas.

Using the empirical Bayes method to estimate and evaluate bycatch rates of seabirds from individual fishing vessels

Minimizing bycatch of seabirds is a major goal of the U.S. National Marine Fisheries Service. In Alaska waters, the bycatch (i.e., inadvertent catches) of seabirds has been an incidental result of demersal groundfish longline fishery operations. Notably, the endangered short-tailed albatross (Phoebastria albatrus) has been taken in this groundfish fishery. Bycatch rates of seabirds from individual vessels may be of particular interest because vessels with high bycatch rates may not be functioning effectively with seabird avoidance gears, and there may be a need for suggestions on how to use these avoidance gears more effectively. Therefore, bycatch estimates are usually made on an individual vessel basis and then summed to obtain the total estimate for the entire fleet.

A collection of empirical relations for use in ecological modelling

This study summarizes previously published and updated empirical relations for the estimation of production/biomass ratios in benthic invertebrates; of natural mortality in benthic invertebrates and finfish; and of respiration from production and vice versa in animal populations. AMS-EXCEL spreadsheet containing these equations is available from the author via Email. They are also included in the Ecopath with Ecosim software.

Empirical equations for the estimation of natural mortality in Mediterranean teleosts

Empirical relationships were established linking estimates of the instantaneous rate of natural mortality (M), the von Bertalanffy growth parameters, L sub( infinity ) (or W sub( infinity )) and K, and annual mean water temperature in 56 stocks of Mediterranean teleosts fish. It is suggested that these relationships generate for these fish more reliable estimates of M than the widely-used model of Pauly (1980, J. Cons. CIEM 33(3):175-192), which was based on 175 fish stocks, but included only five stocks from the Mediterranean.

Economics and management strategies for restocking sandfish in Vietnam

This paper assesses the costs and benefits of a proposed project for restocking sandfish (Holothuria scabra) in Khanh Hoa Province, Vietnam. It identifies the key stakeholders, institutional framework, management and financing required for its implementation. The recommended management strategy includes a 50 percent harvest at optimum size. Limiting the number of boats fishing an area, possibly through licensing, can control the number of sandfish removed. The easiest way to prevent harvesting of undersized sandfish is to control the size of processed sandfish from processors. The potential benefits of restocking are shown by the rapid changes in selected indicators, particularly the net present value, the internal rate of return, and the benefit-cost ratio. Probability analysis is used to estimate the uncertainties in the project calculations. Based on a conservative estimate, the restocking of sandfish is expected to be profitable, although cost-benefit analyses are sensitive to the survival of restocked sandfish and their progeny, and the number of boats fishing for sandfish in the release area.

Economics and Hawaii's Marine Fisheries

This paper reviews economic research conducted on Hawaii's marine fisheries over the past ten years. The fisheries development and fisheries management context for this research is also considered. The paper finds that new approaches are required for marine fisheries research in Hawaii: A wider scope to include other marine resource and coastal zone issues, and increased and closer collaboration between researchers and the fishing community.