259 research outputs found

    Landslide susceptibility mapping in North-East Wales

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    This is an Accepted Manuscript of an article published by Taylor & Francis in Geomatics, Natural Hazards and Risk on 4th October 2011, available online: https://doi.org/10.1080/19475705.2011.600778In North-East Wales, United Kingdom, slope instability is a known environmental hazard which has caused significant damage to the built environment in the recent past. This paper reports on the creation of a digital landslide inventory for North-East Wales and the use of a Geographical Information System (GIS) to create landslide susceptibility models that are applicable to landslide hazard management in the area. The research undertaken has resulted in the most comprehensive landslide inventory of North-East Wales to date, documenting 430 landslides within the area. Landslide susceptibility models created within a GIS using a statistical (multiple logistic regression) approach, divide the landscape of North-East Wales into areas of ‘low’, ‘moderate’ and ‘high’ landslide susceptibility using calculated probability values. These models indicate that 8% of the surface exposure of drift deposits and 12% of the area of solid geology is of high or very high susceptibility to slope instability. Validation tests have demonstrated the accuracy of these models and their potential value in a predictive sense. The digital landslide database and susceptibility models created are readily available to interested stakeholders, and may be useful tools in land-use planning, development of civil contingency plans and as guidance for the insurance industry

    A utilização da modelagem ambiental para sistematização do conhecimento tácito: identificação de corredores preferenciais para linhas de transmissão de energia elétrica

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    A necessidade de expansão do setor elétrico requer o aprimoramento constante das formas de projetar e executar empreendimentos como linhas de transmissão de energia elétrica. Embora, a disseminação de tecnologias de geoinformação estejam auxiliando a modernização desse processo, um dos grandes desafios é preservar o conhecimento acumulado ao longo dos anos de desenvolvimento de projetos. Os padrões de execução de projetos passados podem ser encontrados nas paisagens em que os mesmos foram executados. A hipótese avaliada neste trabalho é a possibilidade de empregar geotecnologia para extrair o conhecimento tácito através de padrões de execução de projetos lineares desenvolvidos no passado por meio da análise da paisagem, e utilizar tais informações em um processo de analise multicriterial para auxiliar a modelagem novos corredores de transmissão de energia. Este procedimento representa a oportunidade de estabelecer termos comparativos e parametrizados para interfacear às novas tecnologias e ganho de produtividade para modernizar o planejamento do setor de distribuição de energia. A investigação se apóia na análise multitemporal. Para tanto, a elaboração de um modelo espacialmente explícito e dinâmico faz-se necessária visando reconhecer não só o padrão espacial de ocorrência do fenômeno, mas também a sua variação na história. O presente trabalho emprega metodologias robustas, como Peso de Evidências e Least Costly Pathpara estudar o padrão espacial da localização de linhas de transmissão de energia na paisagem. Os resultados demonstram a viabilidade do uso de geoprocessamento e análise da paisagem, bem como a possibilidade de identificação de variáveis de caráter geográfico não consideradas nas tratativas normativas do setor, além de indicarem os locais de preferência para locação destes empreendimentos

    Landslide initiation and runout susceptibility modeling in the context of hill cutting and rapid urbanization: a combined approach of weights of evidence and spatial multi-criteria

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    Rainfall induced landslides are a common threat to the communities living on dangerous hill-slopes in Chittagong Metropolitan Area, Bangladesh. Extreme population pressure, indiscriminate hill cutting, increased precipitation events due to global warming and associated unplanned urbanization in the hills are exaggerating landslide events. The aim of this article is to prepare a scientifically accurate landslide susceptibility map by combining landslide initiation and runout maps. Land cover, slope, soil permeability, surface geology, precipitation, aspect, and distance to hill cut, road cut, drainage and stream network factor maps were selected by conditional independence test. The locations of 56 landslides were collected by field surveying. A weight of evidence (WoE) method was applied to calculate the positive (presence of landslides) and negative (absence of landslides) factor weights. A combination of analytical hierarchical process (AHP) and fuzzy membership standardization (weighs from 0 to 1) was applied for performing a spatial multi-criteria evaluation. Expert opinion guided the decision rule for AHP. The Flow-R tool that allows modeling landslide runout from the initiation sources was applied. The flow direction was calculated using the modified Holmgren’s algorithm. The AHP landslide initiation and runout susceptibility maps were used to prepare a combined landslide susceptibility map. The relative operating characteristic curve was used for model validation purpose. The accuracy of WoE, AHP, and combined susceptibility map was calculated 96%, 97%, and 98%, respectively

    Process management in hospitals: an empirically grounded maturity model

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    In order to improve transparency and stabilise health care costs, several countries have decided to reform their healthcare system on the basis of diagnosis-related groups (DRG). DRGs are not only used for classifying medical treatments, but also for case-based reimbursement, hence induce active competition among hospitals, forcing them to become more efficient and effective. In consequence, hospitals are investing considerably in process orientation and management. However, to date there is neither a consensus on what capabilities hospitals need to acquire for becoming process-oriented, nor a general agreement on the sequence of development stages they have to traverse. To this end, this study proposes an empirically grounded conceptualisation of process management capabilities and presents a staged capability maturity model algorithmically derived on the basis of empirical data from 129 acute somatic hospitals in Switzerland. The five capability maturity levels start with 'encouragement of process orientation' (level 1), 'case-by-case handling' (level 2), and 'defined processes' (level 3). Ultimately, hospitals can reach the levels 'occasional corrective action' (level 4) and 'closed loop improvement' (level 5). The empirically derived model reveals why existing, generic capability maturity models for process management are not applicable in the hospitals context: their comparatively high complexity on the one hand and their strong focus on topics like an adequate IT integration and process automation on the other make them inadequate for solving the problems felt in the hospital sector, which are primarily of cultural and structural nature. We deem the proposed capability maturity model capable to overcome these shortcomings
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