Supply Chain Management practices in the electro-electronics sector in Brazil: Evolutionary approach, information technology adoption and management actions

This paper examines the current level of adoption of Supply Chain Management (SCM) practices in the electro-electronic sector in Brazil and aims to identify the management and Information Technology (IT) actions that have been implemented to support the adoption of those practices. An e-mail survey was conducted. Descriptive statistics techniques were employed for data analysis. This study makes contributions to the electro-electronics sector and to the topics related to SCM, such as identifi cation and level of adoption of SCM practices. Another contribution of this research is the investigation of whether approaches such as Enterprise Resources Planning (ERP), Workshop with Customers, Electronic Data Interchange (EDI), Workshop with Suppliers and electronic Kanban are commonly used to support SCM practices. So far, this is the fi rst research on SCM practices in the electro-electronics sector in Brazil. Copyright © 2012 Inderscience Enterprises Ltd.

La programación de recursos en salud; un modelo para la planificación de la salud en el Perú

Incluye Bibliografía

Modelagem dos níveis freáticos do sistema aquífero Bauru (SAB) em diferentes usos da terra no município de Assis - SP

Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA

Optimization of Large-Scale Hydrothermal System Operation

This paper presents the development of a mathematical model to optimize the management and operation of the Brazilian hydrothermal system. The system consists of a large set of individual hydropower plants and a set of aggregated thermal plants. The energy generated in the system is interconnected by a transmission network so it can be transmitted to centers of consumption throughout the country. The optimization model offered is capable of handling different types of constraints, such as interbasin water transfers, water supply for various purposes, and environmental requirements. Its overall objective is to produce energy to meet the country's demand at a minimum cost. Called HIDROTERM, the model integrates a database with basic hydrological and technical information to run the optimization model, and provides an interface to manage the input and output data. The optimization model uses the General Algebraic Modeling System (GAMS) package and can invoke different linear as well as nonlinear programming solvers. The optimization model was applied to the Brazilian hydrothermal system, one of the largest in the world. The system is divided into four subsystems with 127 active hydropower plants. Preliminary results under different scenarios of inflow, demand, and installed capacity demonstrate the efficiency and utility of the model. From this and other case studies in Brazil, the results indicate that the methodology developed is suitable to different applications, such as planning operation, capacity expansion, and operational rule studies, and trade-off analysis among multiple water users. DOI: 10.1061/(ASCE)WR.1943-5452.0000149. (C) 2012 American Society of Civil Engineers.

Hybrid Water Demand Forecasting Model Associating Artificial Neural Network with Fourier Series

This paper addressed the problem of water-demand forecasting for real-time operation of water supply systems. The present study was conducted to identify the best fit model using hourly consumption data from the water supply system of Araraquara, Sa approximate to o Paulo, Brazil. Artificial neural networks (ANNs) were used in view of their enhanced capability to match or even improve on the regression model forecasts. The ANNs used were the multilayer perceptron with the back-propagation algorithm (MLP-BP), the dynamic neural network (DAN2), and two hybrid ANNs. The hybrid models used the error produced by the Fourier series forecasting as input to the MLP-BP and DAN2, called ANN-H and DAN2-H, respectively. The tested inputs for the neural network were selected literature and correlation analysis. The results from the hybrid models were promising, DAN2 performing better than the tested MLP-BP models. DAN2-H, identified as the best model, produced a mean absolute error (MAE) of 3.3 L/s and 2.8 L/s for training and test set, respectively, for the prediction of the next hour, which represented about 12% of the average consumption. The best forecasting model for the next 24 hours was again DAN2-H, which outperformed other compared models, and produced a MAE of 3.1 L/s and 3.0 L/s for training and test set respectively, which represented about 12% of average consumption. DOI: 10.1061/(ASCE)WR.1943-5452.0000177. (C) 2012 American Society of Civil Engineers.

New water use efficiency strategies to cope with climate change

Crop water requirements are important elements for food production, especially in arid and semiarid regions. These regions are experience increasing population growth and less water for agriculture, which amplifies the need for more efficient irrigation. Improved water use efficiency is needed to produce more food while conserving water as a limited natural resource. Evaporation (E) from bare soil and Transpiration (T) from plants is considered a critical part of the global water cycle and, in recent decades, climate change could lead to increased E and T. Because energy is required to break hydrogen bonds and vaporize water, water and energy balances are closely connected. The soil water balance is also linked with water vapour losses to evapotranspiration (ET) that are dependent mainly on energy balance at the Earth’s surface. This work addresses the role of evapotranspiration for water use efficiency by developing a mathematical model that improves the accuracy of crop evapotranspiration calculation; accounting for the effects of weather conditions, e.g., wind speed and humidity, on crop coefficients, which relates crop evapotranspiration to reference evapotranspiration. The ability to partition ET into Evaporation and Transpiration components will help irrigation managers to find ways to improve water use efficiency by decreasing the ratio of evaporation to transpiration. The developed crop coefficient model will improve both irrigation scheduling and water resources planning in response to future climate change, which can improve world food production and water use efficiency in agriculture.

Robust estimates of climate-induced hydrological change in a temperate mountainous region

A sustainable water resources management depends on sound information about the impacts of climate change. This information is, however, not easily derived because natural runoff variability interferes with the climate change signal. This study presents a procedure that leads to robust estimates of magnitude and Time Of Emergence (TOE) of climate-induced hydrological change that also account for the natural variability contained in the time series. Firstly, natural variability of 189 mesoscale catchments in Switzerland is sampled for 10 ENSEMBLES scenarios for the control (1984–2005) and two scenario periods (near future: 2025–2046, far future: 2074–2095) applying a bootstrap procedure. Then, the sampling distributions of mean monthly runoff are tested for significant differences with the Wilcoxon-Mann–Whitney test and for effect size with Cliff’s delta d. Finally, the TOE of a climate change induced hydrological change is determined when at least eight out of the ten hydrological projections significantly differ from natural variability. The results show that the TOE occurs in the near future period except for high-elevated catchments in late summer. The significant hydrological projections in the near future correspond, however, to only minor runoff changes. In the far future, hydrological change is statistically significant and runoff changes are substantial. Temperature change is the most important factor determining hydrological change in this mountainous region. Therefore, hydrological change depends strongly on a catchment’s mean elevation. Considering that the hydrological changes are predicted to be robust in the near future highlights the importance of accounting for these changes in water resources planning.

Plan de manejo de la costa de Río Negro : observatorio del ecosistema litoral y monitoreo de la biodiversidad

La Provincia de Río Negro, a través de su Constitución y de leyes específicas, adhiere “a los principios que sustentan el desarrollo sustentable de conformidad con la Carta de Naciones Unidas." En la costa marítima de Río Negro existen poblaciones relativamente densas y en aumento básicamente por la inmigración en busca de nuevos horizontes laborales. Los conflictos ambientales que se presentan son comunes a otras zonas costeras: contaminación de las aguas costeras por insuficiente o falta de servicios de tratamiento de aguas residuales, modificación, para desarrollo urbano, industrial y comercial, de hábitats críticos para el sostenimiento de pesquerías, vida silvestre, desarrollo de infraestructura costera inapropiada o mal diseñada que favorece procesos erosivos acelerados y/o interrumpen procesos ecológicos básicos, ocupación espacial desordenada que impide el acceso público a playas y otros terrenos públicos, manejo inapropiado de desechos sólidos, incumplimiento de la legislación en la zona costera; generación de conflictos intersectoriales, desarrollo desordenado de infraestructura con altos costos socioeconómicos, crecimiento de la frontera agropecuaria, deterioro de los suelos (sobrepastoreo, desertificación), introducción de especies exóticas, etc. En Río Negro se han relevado, aunque a diferente escala y muchas veces en forma discontinua, la mayor parte de los ambientes costeros considerados de mayor interés desde el punto de vista ecológico y/o productivo. Ejemplo de productos de estos estudios son las Areas Naturales Protegidas de Punta Bermeja, Caleta de Loros, Bahía de San Antonio, Complejo Islote Lobos y Puerto Lobos, así como la Reserva Pesquera Golfo San Matías. Sin embargo, la información se halla dispersa, por lo que la mayor parte de las veces no se puede contar con un panorama actualizado y globalizador que permita la toma de decisión en forma ágil y un real manejo de las especies y/o de su ambiente. Por ello se considera necesario g enerar un Plan de Manejo de la Costa Marítima de Río Negro, esto es, una clasificación del territorio de acuerdo a su grado de sensibilidad ecológica, expresado en unidades cartográficas ambientales, y estableciendo pautas de manejo para las mismas. Se optó por un Sistema de Inventario y Planificación de Recursos, adaptado a un método de Planificación Participativa en el que se involucra en forma directa, a través de encuentros y talleres, a los diferentes estamentos provinciales, municipales, centros de investigación, organizaciones no gubernamentales ambientalistas, organizaciones intermedias, especialistas. Para la Evaluación de los Elementos e identificación de Zonas de Mayor Sensibilidad Ecológica se utilizó un Método de Evaluación de Riesgos que permite cartografiar grado de Amenazas, Vulnerabilidad y Riesgo.

Images of a groundwater flow system in Nicaragua

Conceptualization of groundwater flow systems is necessary for water resources planning. Geophysical, hydrochemical and isotopic characterization methods were used to investigate the groundwater flow system of a multi-layer fractured sedimentary aquifer along the coastline in Southwestern Nicaragua. A geologic survey was performed along the 46 km2 catchment. Electrical resistivity tomography (ERT) was applied along a 4.4 km transect parallel to the main river channel to identify fractures and determine aquifer geometry. Additionally, three cross sections in the lower catchment and two in hillslopes of the upper part of the catchment were surveyed using ERT. Stable water isotopes, chloride and silica were analyzed for springs, river, wells and piezometers samples during the dry and wet season of 2012. Indication of moisture recycling was found although the identification of the source areas needs further investigation. The upper-middle catchment area is formed by fractured shale/limestone on top of compact sandstone. The lower catchment area is comprised of an alluvial unit of about 15 m thickness overlaying a fractured shale unit. Two major groundwater flow systems were identified: one deep in the shale unit, recharged in the upper-middle catchment area; and one shallow, flowing in the alluvium unit and recharged locally in the lower catchment area. Recharged precipitation displaces older groundwater along the catchment, in a piston flow mechanism. Geophysical methods in combination with hydrochemical and isotopic tracers provide information over different scales and resolutions, which allow an integrated analysis of groundwater flow systems. This approach provides integrated surface and subsurface information where remoteness, accessibility, and costs prohibit installation of groundwater monitoring networks.

Modelling uncertainty of flood quantile estimation at ungauged sites by Bayesian networks

Prediction at ungauged sites is essential for water resources planning and management. Ungauged sites have no observations about the magnitude of floods, but some site and basin characteristics are known. Regression models relate physiographic and climatic basin characteristics to flood quantiles, which can be estimated from observed data at gauged sites. However, these models assume linear relationships between variables Prediction intervals are estimated by the variance of the residuals in the estimated model. Furthermore, the effect of the uncertainties in the explanatory variables on the dependent variable cannot be assessed. This paper presents a methodology to propagate the uncertainties that arise in the process of predicting flood quantiles at ungauged basins by a regression model. In addition, Bayesian networks were explored as a feasible tool for predicting flood quantiles at ungauged sites. Bayesian networks benefit from taking into account uncertainties thanks to their probabilistic nature. They are able to capture non-linear relationships between variables and they give a probability distribution of discharges as result. The methodology was applied to a case study in the Tagus basin in Spain.

Avaliação da quantidade e qualidade dos recursos hídricos superficiais da bacia hidrográfica do rio Sapucaí-Mirim (SP) através do simulador computacional Mike Basin

Fundamental a vida e ao desenvolvimento de qualquer sociedade, a água é um bem precioso e limitado que está se esgotando e sendo motivo de preocupação mundial. O desperdício, a distribuição desigual, o aumento do consumo e a degradação da qualidade da água são motivos que a tornaram escassa e trouxeram à tona a importância do planejamento e gerenciamento dos recursos hídricos. Frente a esta situação, este trabalho buscou avaliar a disponibilidade hídrica quantitativa e qualitativa da bacia hidrográfica do rio Sapucaí-Mirim, SP. Através da aplicação do simulador hidrológico MIKE BASIN, foi analisado o desempenho do sistema de recursos hídricos, o conflito existente entre os usos múltiplos e a concentração dos parâmetros OD e DBO nas águas do rio que recebe efluentes domésticos, muitos deles sem nenhum tratamento. Apesar da quantidade de água ser suficiente para atender às demandas, o estudo mostra que a geração de energia elétrica está comprometida e a água está se esgotando qualitativamente, evidenciando a necessidade e urgência de se implantar estações de tratamento de esgoto.

Too many cars, too little space /

"Publication no. 58; November 1939."

Report on 1956 cooperative study program.

Mode of access: Internet.

Membership of drainage basin committee /

Caption title on p. [1]: Drainage basin committees : membership, March 10, 1940.

Proceedings /

Vols. for Aug. 1926-Sept. 1930 in 2 pts., pt. 2 being a pamphlet of "news and notes."