389 research outputs found

    Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data

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    Combined sewer overflows (CSOs) represent a common feature in combined urban drainage systems and are used to discharge excess water to the environment during heavy storms. To better understand the performance of CSOs, the UK water industry has installed a large number of monitoring systems that provide data for these assets. This paper presents research into the prediction of the hydraulic performance of CSOs using artificial neural networks (ANN) as an alternative to hydraulic models. Previous work has explored using an ANN model for the prediction of chamber depth using time series for depth and rain gauge data. Rainfall intensity data that can be provided by rainfall radar devices can be used to improve on this approach. Results are presented using real data from a CSO for a catchment in the North of England, UK. An ANN model trained with the pseudo-inverse rule was shown to be capable of providing prediction of CSO depth with less than 5% error for predictions more than one hour ahead for unseen data. Such predictive approaches are important to the future management of combined sewer systems

    Weak Interaction Matrix Elements and (p,n) Cross Sections

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    This research was sponsored by the National Science Foundation Grant NSF PHY-931478

    The Integrated WRF/Urban Modeling System: Development, Evaluation, and Applications to Urban Environmental Problems

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    To bridge the gaps between traditional mesoscale modeling and microscale modeling, the National Center for Atmospheric Research (NCAR), in collaboration with other agencies and research groups, has developed an integrated urban modeling system coupled to the Weather Research and Forecasting (WRF) model as a community tool to address urban environmental issues. The core of this WRF/urban modeling system consists of: 1) three methods with different degrees of freedom to parameterize urban surface processes, ranging from a simple bulk parameterization to a sophisticated multi-layer urban canopy model with an indoor outdoor exchange sub-model that directly interacts with the atmospheric boundary layer, 2) coupling to fine-scale Computational Fluid Dynamic (CFD) Reynolds-averaged Navier–Stokes (RANS) and Large-Eddy Simulation (LES) models for Transport and Dispersion (T&D) applications, 3) procedures to incorporate high-resolution urban land-use, building morphology, and anthropogenic heating data using the National Urban Database and Access Portal Tool (NUDAPT), and 4) an urbanized high-resolution land-data assimilation system (u-HRLDAS). This paper provides an overview of this modeling system; addresses the daunting challenges of initializing the coupled WRF/urban model and of specifying the potentially vast number of parameters required to execute the WRF/urban model; explores the model sensitivity to these urban parameters; and evaluates the ability of WRF/urban to capture urban heat islands, complex boundary layer structures aloft, and urban plume T&D for several major metropolitan regions. Recent applications of this modeling system illustrate its promising utility, as a regional climate-modeling tool, to investigate impacts of future urbanization on regional meteorological conditions and on air quality under future climate change scenarios

    A Descriptive, Multiyear Examination of Positive Behavior Support

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    A major goal of positive behavior support (PBS) is to produce broad-based, long-term improvements in adaptive behavior; however, the empirical base, at present, is mainly composed of relatively short-term studies carried out in circumscribed contexts. Therefore, a need exists for reliable data that can inform the field regarding the comprehensive lifestyle effects of PBS implementation in natural community contexts over extended periods of time. The current investigation was conducted to provide a descriptive analysis of PBS with diverse participants and broad measurement strategies over multiple years. Using extensive data portfolios for 21 participants, we employed rating scales to quantify changes in key variables from baseline through 2 years of intervention. The data revealed variable levels of intervention integrity, generalized reductions in problem behavior with occasional relapses, and encouraging enhancements across six domains of quality of life. This study represents an initial attempt to understand the processes and outcomes of behavioral support by documenting behavioral patterns across full days, entire years, and all environments. We discuss the need to consider new conceptual and methodological frameworks for further study of efficacious and sustainable behavior support

    Hacia una tecnología de apoyo conductual "no aversivo"

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    En este artículo se hace una introducción del tratamiento conductual no aversivo. Se sugieren importantes definiciones y se presentan tres elementos fundamentales: a) un emergente conjunto de procedimientos para apoyar a personas con trastornos conductuales graves; b) criterios de validación social que insisten en la dignidad de las personas; y c) una recomendación de que se prohíban o limiten ciertas estrategias. Estos elementos se definen con la esperanza de que provoquen ulteriores debates y análisis empíricos del apoyo conductual positivo

    Hacia una tecnología de apoyo conductual "no aversivo"

    Get PDF
    En este artículo se hace una introducción del tratamiento conductual no aversivo. Se sugieren importantes definiciones y se presentan tres elementos fundamentales: a) un emergente conjunto de procedimientos para apoyar a personas con trastornos conductuales graves; b) criterios de validación social que insisten en la dignidad de las personas; y c) una recomendación de que se prohíban o limiten ciertas estrategias. Estos elementos se definen con la esperanza de que provoquen ulteriores debates y análisis empíricos del apoyo conductual positivo

    Positive Behavior Support: Evolution of an Applied Science

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    Positive behavior support (PBS) is an applied science that uses educational and systems change methods (environmental redesign) to enhance quality of life and minimize problem behavior. PBS initially evolved within the field of developmental disabilities and emerged from three major sources: applied behavior analysis, the normalization/inclusion movement, and person-centered values. Although elements of PBS can be found in other approaches, its uniqueness lies in the fact that it integrates the following critical features into a cohesive whole: comprehensive lifestyle change, a lifespan perspective, ecological validity, stakeholder participation, social validity, systems change and multicomponent intervention, emphasis on prevention, flexibility in scientific practices, and multiple theoretical perspectives. These characteristics are likely to produce future evolution of PBS with respect to assessment practices, intervention strategies, training, and extension to new populations. The approach reflects a more general trend in the social sciences and education away from pathology-based models to a new positive model that stresses personal competence and environmental integrity
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