930 resultados para GIS, GPS, buffer analysis, spatial analysis, correlation analysis, air pollution, vehicular pollution


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Increased levels of particulate matter (PM) in the atmosphere have contributed to an increase in mortality and morbidity in communities and are the main contributing factor for respiratory health problems in the population. Currently, PM concentrations are sparsely monitored; for instance, a region of over 2200 square kilometers surrounding Melbourne in Victoria, Australia, is monitored using ten sensor stations. This paper proposes to improve the estimation of PM concentration by complementing the existing high-precision but expensive PM devices with low-cost lower precision PM sensor nodes. Our evaluation reveals that local PM estimation accuracies improve with higher densities of low-precision sensor nodes. Our analysis examines the impact of the precision of the lost-cost sensors on the overall estimation accuracy.

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La presente investigación tiene como objetivo principal, explicar la influencia de los ODM del PNUD en la implementación de políticas públicas medioambientales de Tailandia en el periodo del 2000 al 2013, basado en la teoría de los complejos de socialización y la transferencia de normas que implican un buen comportamiento medioambiental. De esta manera, demostrar que los agentes socializadores han cumplido un papel fundamental para la implementación de políticas públicas en Tailandia en su interés por cumplir con sus compromisos internacionales. Esta monografía utilizara un método cualitativo, desde el análisis de las fuentes primarias y secundarias, realizando especial énfasis en la teoría de complejos de socialización que permita un análisis descriptivo y explicativo del fenómeno.

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La presente investigación tiene como objetivo principal, explicar la influencia de los ODM del PNUD en la implementación de políticas públicas medioambientales de Tailandia en el periodo del 2000 al 2013, basado en la teoría de los complejos de socialización y la transferencia de normas que implican un buen comportamiento medioambiental. De esta manera, demostrar que los agentes socializadores han cumplido un papel fundamental para la implementación de políticas públicas en Tailandia en su interés por cumplir con sus compromisos internacionales. Esta monografía utilizara un método cualitativo, desde el análisis de las fuentes primarias y secundarias, realizando especial énfasis en la teoría de complejos de socialización que permita un análisis descriptivo y explicativo del fenómeno.

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Introducción El material particulado son partículas sólidas y líquidas emitidas al aire, las cuales pueden generar diferentes alteraciones en la salud, variando desde cuadros respiratorios alérgicos, a episodios asmáticos, dermatitis o inclusive llegar a facilitar la génesis de enfermedades de tipo neoplásico. Estos pueden tener origen natural e industrial, encontrandose en diferentes actividades económicas. Objetivo Evaluar la exposición laboral a material particulado en empresas pertenecientes a diferentes sectores económicos afiliadas a una ARL en Colombia, en el periodo comprendido entre 2011 al 2014 Metodología Es un estudio de corte transversal, analizando una base de datos de 257 empresas con 1108 mediciones de material particulado, recolectados entre 2011 – 2014. Las variables usadas fueron: región, actividad económica, área, oficio, tiempo de exposición y concentración de material particulado. Se realizó distribuciones de frecuencia, medidas de tendencia central y de dispersión. Se evaluaron las diferencias de las distribuciones de los tiempos de exposición y el porcentaje de exposición entre los grupos con y sin riesgo (los que sobrepasaban o no los límites permisibles), con la prueba asintótica no paramétrica de Mann Whitney. Resultados Las principales mediciones ambientales en las empresas fueron en la industria química con un 31%, siendo 2 de cada 3 datos pertenecientes a la región andina, las cuales tienen como principales contaminantes químicos las partículas no fraccionadas con el 70,9%. Respecto a las concentraciones ambientales de material particulado en las empresas participantes, se encontró un promedio de 1,72 mg/m3 ± 3,613, con una mediana de 0,480 mg/m3 y un coeficiente de variación de 210,05%. El 2,9% sobrepasaron los valores límites establecidos por la ACGIH (American Conference of Governmental Industrial Hygienists) y el 92,5% según los límites de la EPA (Agencia de Protección del Ambiente), presentando mayor riesgo en el personal operativo con 93,3% (p= 0,002). Conclusión El riesgo según los límites establecidos por la ACGIH para las mediciones realizadas en Colombia fue bajo, aunque al utilizar los parámetros de la EPA, el riesgo fue alto, por lo cual se requiere hacer un seguimiento específico a estas empresas y fomentar la implementación del sistema de gestión en seguridad y salud en el trabajo.

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This paper discusses the role of advance techniques for monitoring urban growth and change for sustainable development of urban environment. It also presents results of a case study involving satellite data for land use/land cover classification of Lucknow city using IRS-1C multi-spectral features. Two classification algorithms have been used in the study. Experiments were conducted to see the level of improvement in digital classification of urban environment using Artificial Neural Network (ANN) technique.

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In this paper, we seek to expand the use of direct methods in real-time applications by proposing a vision-based strategy for pose estimation of aerial vehicles. The vast majority of approaches make use of features to estimate motion. Conversely, the strategy we propose is based on a MR (Multi- Resolution) implementation of an image registration technique (Inverse Compositional Image Alignment ICIA) using direct methods. An on-board camera in a downwards-looking configuration, and the assumption of planar scenes, are the bases of the algorithm. The motion between frames (rotation and translation) is recovered by decomposing the frame-to-frame homography obtained by the ICIA algorithm applied to a patch that covers around the 80% of the image. When the visual estimation is required (e.g. GPS drop-out), this motion is integrated with the previous known estimation of the vehicles’ state, obtained from the on-board sensors (GPS/IMU), and the subsequent estimations are based only on the vision-based motion estimations. The proposed strategy is tested with real flight data in representative stages of a flight: cruise, landing, and take-off, being two of those stages considered critical: take-off and landing. The performance of the pose estimation strategy is analyzed by comparing it with the GPS/IMU estimations. Results show correlation between the visual estimation obtained with the MR-ICIA and the GPS/IMU data, that demonstrate that the visual estimation can be used to provide a good approximation of the vehicle’s state when it is required (e.g. GPS drop-outs). In terms of performance, the proposed strategy is able to maintain an estimation of the vehicle’s state for more than one minute, at real-time frame rates based, only on visual information.

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The case study 3 team viewed the mitigation of noise and air pollution generated in the transport corridor that borders the study site to be a paramount driver of the urban design solution. These key urban planning strategies were adopted: * Spatial separation from transport corridor pollution source. A linear green zone and environmental buffer was proposed adjacent to the transport corridor to mitigate the environmental noise and air quality impacts of the corridor, and to offer residents opportunities for recreation * Open space forming the key structural principle for neighbourhood design. A significant open space system underpins the planning and manages surface water flows. * Urban blocks running on east-west axis. The open space rationale emphasises an east-west pattern for local streets. Street alignment allows for predominantly north-south facing terrace type buildings which both face the street and overlook the green courtyard formed by the perimeter buildings. The results of the ESD assessment of the typologies conclude that the design will achieve good outcomes through: * Lower than average construction costs compared with other similar projects * Thermal comfort; A good balance between daylight access and solar gains is achieved * The energy rating achieved for the units is 8.5 stars.

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An elevated particle number concentration (PNC) observed during nucleation events could play a significant contribution to the total particle load and therefore to the air pollution in the urban environments. Therefore, a field measurement study of PNC was commenced to investigate the temporal and spatial variations of PNC within the urban airshed of Brisbane, Australia. PNC was monitored at urban (QUT), roadside (WOO) and semi-urban (ROC) areas around the Brisbane region during 2009. During the morning traffic peak period, the highest relative fraction of PNC reached about 5% at QUT and WOO on weekdays. PNC peaks were observed around noon, which correlated with the highest solar radiation levels at all three stations, thus suggesting that high PNC levels were likely to be associated with new particle formation caused by photochemical reactions. Wind rose plots showed relatively higher PNC for the NE direction, which was associated with industrial pollution, accounting for 12%, 9% and 14% of overall PNC at QUT, WOO and ROC, respectively. Although there was no significant correlation between PNC at each station, the variation of PNC was well correlated among three stations during regional nucleation events. In addition, PNC at ROC was significantly influenced by upwind urban pollution during the nucleation burst events, with the average enrichment factor of 15.4. This study provides an insight into the influence of regional nucleation events on PNC in the Brisbane region and it the first study to quantify the effect of urban pollution on semi-urban PNC through the nucleation events. © 2012 Author(s).

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Like other major cities, Brisbane (Australia) has adopted policies to increase residential densities to meet the liveability goal of decreasing car dependence. This objective hinges on urban neighbourhoods being amenity-rich spaces, reducing the need for residents to leave their neighbourhood for everyday living. While older people are attracted to urban settings, there has been little empirical evidence linking liveability satisfaction with older people's use of urban neighbourhoods. Using a case study approach employing qualitative (diaries, in-depth interviews) and quantitative (Global Positioning Systems and Geographical Information Systems mapping) methods,this paper explores the effect of the neighbourhood environment and its influence on liveability for older urban people. Reliance on motor vehicles and issues with availability and access to local amenities inhibit local participation for older people. Highlighting these issues furthers our understanding of the landscape planning and design factors that make urban neighbourhoods more liveable for older residents.

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Within-building spatial variability of indoor air quality may influence substantially the reliability of human exposure assessments based on single point samples, but have hitherto been little studied. To investigate and understand the within-building spatial variation of air pollutants, field measurements were conducted in a 7 level office building in Brisbane, Australia. The building consists of 3 sections (A side, Meddler and B side).

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This research utilised software developed for managing the Australian sugar industry's cane rail transport operations and GPS data used to track locomotives to ensure safe operation of the railway system to improve transport operations. As a result, time usage in the sugarcane railway can now be summarised and locomotive arrival time to sidings and mills can be predicted. This information will help the development of more efficient run schedules and enable mill staff and harvesters to better plan their shifts ahead, enabling cost reductions through better use of available time.

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Identifying inequalities in air pollution levels across population groups can help address environmental justice concerns. We were interested in assessing these inequalities across major urban areas in Australia. We used a land-use regression model to predict ambient nitrogen dioxide (NO2) levels and sought the best socio-economic and population predictor variables. We used a generalised least squares model that accounted for spatial correlation in NO2 levels to examine the associations between the variables. We found that the best model included the index of economic resources (IER) score as a non-linear variable and the percentage of non-Indigenous persons as a linear variable. NO2 levels decreased with increasing IER scores (higher scores indicate less disadvantage) in almost all major urban areas, and NO2 also decreased slightly as the percentage of non-Indigenous persons increased. However, the magnitude of differences in NO2 levels was small and may not translate into substantive differences in health.

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O dimensionamento de uma rede de monitoramento e controle da qualidade do ar requer o conhecimento da área onde os poluentes atmosféricos, emitidos por fontes fixas e móveis, tendem a se concentrar e os seus fenômenos de dispersão. A definição das áreas de monitoramento da poluição atmosférica na Região Metropolitana do Rio de Janeiro é um tema discutido desde o início dos anos 80 quando foram estabelecidas as bacias aéreas a partir de cartas topográficas. Este projeto consiste em pesquisa aplicada ao estabelecimento da configuração espacial e mapeamento das bacias aéreas a partir de dados digitais. Tal esforço é justificado em função do alcance dos beneficiados diretamente e à sociedade em geral, a partir do conhecimento das condições da qualidade do ar e seu comportamento ao longo do tempo. O estudo realizado se concentra na Região Metropolitana do Rio de Janeiro, com base em dados necessários para a avaliação da dinâmica das massas de ar na área de estudo e suas características para definição das novas bacias aéreas com suporte de um Sistema de Informação Geográfica (SIG). Apoiado nos dados cartográficos digitais e nos dados cadastrais das estações de monitoramento, foi projetado e implementado um SIG, em atendimento aos requisitos de mapeamento digital das bacias aéreas, da distribuição espacial das estações de monitoramento da qualidade do ar, das principais fontes de emissão de poluentes e das principais vias de circulação veicular, onde foram identificadas e mapeadas regiões com características semelhantes para diversos cenários com uso potencial do SIG. Foi criado um banco de dados georeferenciado, previamente modelado oferecendo consultas espaciais destinadas às necessidades de gestão ambiental. Com a utilização do SIG, foram identificadas áreas com deficiência no monitoramento, áreas críticas de poluição atmosférica e propostas as novas bacias aéreas delimitadas a partir dos dados digitais. O SIG se mostrou uma ferramenta eficiente para a gestão ambiental da qualidade do ar na RMRJ, pois permitiu em ambiente de escritório a representação dos elementos necessários para a avaliação da configuração espacial das bacias aéreas e proporcionou uma visualização dinâmica da distribuição espacial das estações de monitoramento nas bacias aéreas propostas.