An analysis of migratory salmonid catch effort data, derived from anglers' log books, 1991

1000 log books were issued to anglers of which 236 were returned, those from the rivers Derwent, Kent, Lune and Ribble accounted for the vast majority. The Derwent had the highest catch rate of these rivers: one salmon every 13.89 hours followed by the Lune, Kent and Ribble at 16.39, 18.87 and 35.71 hours, respectively. For sea trout the Lune, Derwent and Ribble had a catch rate of approximately one fish every 10.0 hours (9.8, 10.0 and 10.64 hours),and for the Kent one fish per 16.1 hours fished. Salmon angling visits were, in general,longer than those for sea trout being between 2 and 6 hours as opposed to 2 to 4 hours. On the majority of visits (>80%) no fish were caught and was the same for salmon and sea trout. For salmon the majority of fish were caught on fly, spinner or worm, and the least on prawn. For sea trout fly predominated. The majority of salmon caught were less than 91b in weight and were presumed to be grilse (1 sea winter). The majority of the sea trout caught weighed between 1 and 31b. The pattern of catch, effort, CPUE, abundance and catchability for salmon and sea trout were modelled using the data from the rivers Derwent, Kent and Lune. Flow significantly influenced catch, effort and catchability of salmon which had entered in a particular month. For sea trout flow was not significantly correlated with any of the dependent variables. The catchability coefficient for salmon, determined from the total number of fish, remained relatively constant over the period June to October indicating that CPUE was a reasonable measure of within season abundance. This was not found to be the case for sea trout.

Integração de dados geofísicos de poços e geoquímicos na avaliação do potencial gerador dos folhelhos betuminosos da Formação Tremembé, Bacia de Taubaté

Nos depósitos cenozóicos da Bacia de Taubaté são encontrados depósitos de folhelhos betuminosos (oleígenos) pertencentes à Formação Tremembé, de idade oligocênica, que durante alguns anos na década de 50 foram investigados com relação ao seu aproveitamento econômico através da extração industrial do óleo nele contido. Entretanto, em face de aspectos tecnológicos e conjunturais da época, esse aproveitamento industrial foi considerado inviável do ponto de vista econômico. Nesta dissertação é proposta uma aplicação da perfilagem geofísica para a caracterização da faciologia dos folhelhos betuminosos da Formação Tremembé, tendo como objetivo principal a identificação das eletrofácies nos perfis elétricos, através de uma metodologia robusta e consistente. A identificação de eletrofácies é importante para ajudar na determinação da caracterização de uma reserva não convencional e na análise da viabilidade econômica. Neste estudo foram utilizados os perfis convencionais de poço: Raio gama, resitividade, potencial espontâneo e sônico. Os dados de perfis de poços foram integrados com os testemunhos e dados geoquímicos, mais precisamente os dados de COT, S, IH, S2 para uma caracterização realística das eletrofácies. Os dados foram obtidos a partir de três sondagens rotativas realizadas na Bacia de Taubaté, resultantes de testemunhagem contínua e perfilagem a cabo ao longo do intervalo de folhelhos da Formação Tremembé. A partir disto, obtém-se como resposta um modelo específico para cada litologia, onde cada pico corresponde a uma eletrofácies, permitindo o estabelecimento de alguns padrões ou assinaturas geofísicas para as principais fácies ocorrentes. Como resultado deste trabalho, foi possível correlacionar as eletrofácies entre os poços numa seção modelo, a partir de similaridade lateral das eletrofácies entre os marcos estratigráficos representado, foi possível observar a continuidade de duas sequências de folhelhos betuminoso com alto teores de COT, S, IH, S2, considerados os mais importantes do ponto de vista econômico e gerado um modelo faciológico 2D e 3D dessas camadas. Os resultados obtidos neste trabalho são bastante promissores, apontando para a possibilidade de aplicação desta técnica a outros poços da Bacia de Taubaté, fornecendo subsídios relevantes à determinação da evolução sedimentar.

Development of a fishing log for use in trawlers

The paper describes the technical and operational features of a composite equipment for simultaneous measurement of five important parameters, warp load, boat speed, water temperature, water salinity and air temperature pertaining to the craft, gear and the environment. The equipment is designed for continuous measurement in small and medium crafts easily without disturbance to routine fishing operations. The system operated on 9V supply, is suitable for portable operations from one vessel to another. The compact electronic meter kept in the wheel-house displays the data one by one in engineering units.

Strengthening the log book recording system for fishing vessels: Sri Lanka

Activities of the project included: preparation of awareness materials on data reporting; organizing stakeholder awareness programmes; setting and maintaining an electronic database; inputs from participants and recommendations

Kernelized log linear models for continuous speech recognition

Large margin criteria and discriminative models are two effective improvements for HMM-based speech recognition. This paper proposed a large margin trained log linear model with kernels for CSR. To avoid explicitly computing in the high dimensional feature space and to achieve the nonlinear decision boundaries, a kernel based training and decoding framework is proposed in this work. To make the system robust to noise a kernel adaptation scheme is also presented. Previous work in this area is extended in two directions. First, most kernels for CSR focus on measuring the similarity between two observation sequences. The proposed joint kernels defined a similarity between two observation-label sequence pairs on the sentence level. Second, this paper addresses how to efficiently employ kernels in large margin training and decoding with lattices. To the best of our knowledge, this is the first attempt at using large margin kernel-based log linear models for CSR. The model is evaluated on a noise corrupted continuous digit task: AURORA 2.0. © 2013 IEEE.

Classification using log Gaussian Cox processes

McCullagh and Yang (2006) suggest a family of classification algorithms based on Cox processes. We further investigate the log Gaussian variant which has a number of appealing properties. Conditioned on the covariates, the distribution over labels is given by a type of conditional Markov random field. In the supervised case, computation of the predictive probability of a single test point scales linearly with the number of training points and the multiclass generalization is straightforward. We show new links between the supervised method and classical nonparametric methods. We give a detailed analysis of the pairwise graph representable Markov random field, which we use to extend the model to semi-supervised learning problems, and propose an inference method based on graph min-cuts. We give the first experimental analysis on supervised and semi-supervised datasets and show good empirical performance.

A multi-cycle climatic fluctuation record of the last interglacial period: Typical stratigraphic section in the Salawusu River Valley on the Ordos Plateau, China

IEECAS SKLLQG

Stratigraphic Model Predictions of Geoacoustic Properties

Geoacoustic properties of the seabed have a controlling role in the propagation and reverberation of sound in shallow-water environments. Several techniques are available to quantify the important properties but are usually unable to adequately sample the region of interest. In this paper, we explore the potential for obtaining geotechnical properties from a process-based stratigraphic model. Grain-size predictions from the stratigraphic model are combined with two acoustic models to estimate sound speed with distance across the New Jersey continental shelf and with depth below the seabed. Model predictions are compared to two independent sets of data: 1) Surficial sound speeds obtained through direct measurement using in situ compressional wave probes, and 2) sound speed as a function of depth obtained through inversion of seabed reflection measurements. In water depths less than 100 m, the model predictions produce a trend of decreasing grain-size and sound speed with increasing water depth as similarly observed in the measured surficial data. In water depths between 100 and 130 m, the model predictions exhibit an increase in sound speed that was not observed in the measured surficial data. A closer comparison indicates that the grain-sizes predicted for the surficial sediments are generally too small producing sound speeds that are too slow. The predicted sound speeds also tend to be too slow for sediments 0.5-20 m below the seabed in water depths greater than 100 m. However, in water depths less than 100 m, the sound speeds between 0.5-20-m subbottom depth are generally too fast. There are several reasons for the discrepancies including the stratigraphic model was limited to two dimensions, the model was unable to simulate biologic processes responsible for the high sound-speed shell material common in the model area, and incomplete geological records necessary to accurately predict grain-size

Geophysical evaluation methods for buried hill reservoirs in the Jiyang superdepression of the Bohai Bay basin, eastern China

The Jiyang superdepression is one of the richest hydrocarbon accumulations in the Bohai Bay basin, eastern China. Comprehensive seismic methods have been used in buried hill exploration in Jiyang to describe these fractured reservoirs better. Accurate seismic stratigraphic demarcation and variable-velocity mapping were applied to reveal the inner structure of the buried hills and determine the nature of the structural traps more precisely. Based on the analysis of rock properties and the characteristics of well-developed buried hill reservoirs, we have successfully linked the geology and seismic response by applying seismic forward technology. Log-constrained inversion, absorption coefficient analysis and tectonic forward-inversion with FMI loggings were applied to analyse and evaluate the buried hill reservoirs and gave satisfying results. The reservoir prediction was successful, which confirmed that the comprehensive utilization of these methods can be helpful in the exploration of buried hill reservoirs.