999 resultados para Water-meters


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Mode of access: Internet.

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This paper examines the interactions between knowledge and power in the adoption of technologies central to municipal water supply plans, specifically investigating decisions in Progressive Era Chicago regarding water meters. The invention and introduction into use of the reliable water meter early in the Progressive Era allowed planners and engineers to gauge water use, and enabled communities willing to invest in the new infrastructure to allocate costs for provision of supply to consumers relative to use. In an era where efficiency was so prized and the role of technocratic expertise was increasing, Chicago’s continued failure to adopt metering (despite levels of per capita consumption nearly twice that of comparable cities and acknowledged levels of waste nearing half of system production) may indicate that the underlying characteristics of the city’s political system and its elite stymied the implementation of metering technologies as in Smith’s (1977) comparative study of nineteenth century armories. Perhaps, as with Flyvbjerg’s (1998) study of the city of Aalborg, the powerful know what they want and data will not interfere with their conclusions: if the data point to a solution other than what is desired, then it must be that the data are wrong. Alternatively, perhaps the technocrats failed adequately to communicate their findings in a language which the political elite could understand, with the failure lying in assumptions of scientific or technical literacy rather than with dissatisfaction in outcomes (Benveniste 1972). When examined through a historical institutionalist perspective, the case study of metering adoption lends itself to exploration of larger issues of knowledge and power in the planning process: what governs decisions regarding knowledge acquisition, how knowledge and power interact, whether the potential to improve knowledge leads to changes in action, and, whether the decision to overlook available knowledge has an impact on future decisions.

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This case study sought to determine how the potable water network of Cerro Prieto, Peru could be improved. The network as it exists now is branched and operated intermittently, exposing residents to water contamination risks and inconvenience. Using EPANET, it was found that the as-built network can support continuous water service, all points could stay over 10 psi, and the current water consumption rate could be maintained. To keep all points over 20 psi, the height of elevated water tank must be increased 6 feet, and the pump switched on whenever the tank drains. It was also found that almost the entire community would benefit from several possible closed loops in the network, but the high cost gives downstream loops higher priority. Due to the scarcity of water in the region, the first action must be assessing the well capacity, and a water conservation plan that may include water meters.

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Instrumentation and automation plays a vital role to managing the water industry. These systems generate vast amounts of data that must be effectively managed in order to enable intelligent decision making. Time series data management software, commonly known as data historians are used for collecting and managing real-time (time series) information. More advanced software solutions provide a data infrastructure or utility wide Operations Data Management System (ODMS) that stores, manages, calculates, displays, shares, and integrates data from multiple disparate automation and business systems that are used daily in water utilities. These ODMS solutions are proven and have the ability to manage data from smart water meters to the collaboration of data across third party corporations. This paper focuses on practical, utility successes in the water industry where utility managers are leveraging instantaneous access to data from proven, commercial off-the-shelf ODMS solutions to enable better real-time decision making. Successes include saving $650,000 / year in water loss control, safeguarding water quality, saving millions of dollars in energy management and asset management. Immediate opportunities exist to integrate the research being done in academia with these ODMS solutions in the field and to leverage these successes to utilities around the world.

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Pós-graduação em Engenharia Civil - FEIS

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Avalia sob a ótica do usuário, o sistema de abastecimento de água da Companhia de Saneamento do Pará, em funcionamento no Residencial Beija-Flor, no Município de Marituba-Pará. Dividiu-se o estudo nas etapas de levantamento de informações do sistema de abastecimento, de pesquisa de campo e de tratamento dos dados, em função da dimensão socioeconômica do consumidor, impressões sobre os serviços da concessionária, formas de uso, sentimento econômico e avaliação das inter-relações entre as variáveis estudadas. Constata que o Residencial é um conjunto habitacional horizontal unifamiliar. Demonstra através de análise dos fatores relacionados a desperdícios e vazamentos de água, que são consideráveis as chances dos hidrômetros residenciais estarem defeituosos. Afere o serviço prestado pela COSANPA como de má qualidade em função do entendimento de que a água fornecida é de má qualidade. Juga-se o preço da água da COSANPA em função da qualidade da água fornecida, aferindo-a como de custo elevado. Detectou-se grande chance de comprometimento ambiental do lençol freático e do solo, assim como de se adquirir doenças transmissíveis pela água, através da rede de distribuição, a quando de ocorrência de falta d’água. Avalia que entre as fragilidades da gestão da Companhia de Saneamento, destaca-se a deficiente comunicação da empresa com os seus usuários e como principal potencialidade detectada na gestão do sistema de abastecimento, se sobressai à rara ocorrência de falta d’água e o fato de haver um significativo índice de hidrometração. Constata que “ouvir” o usuário é uma importante ferramenta de auxilio ao aperfeiçoamento a gestão dos serviços de abastecimento de água.

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Mode of access: Internet.

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Este trabalho tem por objetivo propor uma metodologia heurística para o Problema de Cobertura de Arcos aplicado aos serviços de saneamento, em específico na leitura de hidrômetros. Dentro deste contexto desenvolveu-se um aplicativo que permite o planejamento de rotas de maneira que os custos em distância percorrida sejam reduzidos e mantenham-se aproximadamente os mesmos em todos os percursos. A metodologia foi dividida em etapas. Na primeira etapa, para compreender melhor o problema, fez-se uma pesquisa de campo organizando os dados disponibilizados por uma empresa de saneamento. A segunda etapa foi caracterizada pela determinação de pontos em cada metade de trechos de quadra e nas interseções de ruas, os quais foram cadastrados, em um mapa georeferenciado. Este mapa contemplou a região escolhida para o estudo e os pontos cadastrados serviram para determinar e consequentemente, designar as medianas relacionadas, o que constitui a terceira etapa. Para isso utilizou-se respectivamente o algoritmo de Teitz Bart Modificado por CADP e o algoritmo de designação de Gillet e Johnson adaptado. Ao final desta etapa formaram-se subsetores dentro de um setor específico. Na última etapa encontrou-se as rotas de cada subsetor através do algoritmo genético. O aplicativo desenvolvido permitiu flexibilidade de ações, dando autonomia para o usuário na escolha das opções de cálculo. Sua interface gráfica possibilitou a elaboração de mapas e a visualização das rotas em cada subsetor. Além disso o aplicativo minimizou os percursos e distribuiu os subsetores com distâncias aproximadas. A eficiência das heurísticas que embasaram o aplicativo desenvolvido, foi comprovada através dos testes realizados, os quais obtiveram resultados de boa qualidade.

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Smart water metering technologies for residential buildings offer, in principle, great opportunities for sustainable urban water management. However, much of this potential is as yet unrealized. Despite that several ICT solutions have already been deployed aiming at optimum operations on the water utilities side (e.g. real time control for water networks, dynamic pump scheduling etc.), little work has been done to date on the consumer side. This paper presents a web-based platform targeting primarily the household end user. The platform enables consumers to monitor, on a real-time basis, the water demand of their household, providing feedback not only on the total water consumption and relevant costs but also on the efficiency (or otherwise) of specific indoor and outdoor uses. Targeting the reduction of consumption, the provided feedback is combined with notifications about possible leakages\bursts, and customised suggestions to improve the efficiency of existing household uses. It also enables various comparisons, with past consumption or even with that of similar households, aiming to motivate further the householder to become an active player in the water efficiency challenge. The issue of enhancing the platform’s functionality with energy timeseries is also discussed in view of recent advances in smart metering and the concept of “smart cities”. The paper presents a prototype of this web-based application and critically discusses first testing results and insights. It also presents the way in which the platform communicates with central databases, at the water utility level. It is suggested that such developments are closing the gap between technology availability and usefulness to end users and could help both the uptake of smart metering and awareness raising leading, potentially, to significant reductions of urban water consumption. The work has received funding from the European Union FP7 Programme through the iWIDGET Project, under grant agreement no318272.

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Mesozooplankton is collected by vertical tows within the Black sea water body mass layer in the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).

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The SES_UNLUATA_GR1-Mesozooplankton faecal pellet production rates dataset is based on samples taken during March and April 2008 in the Northern Libyan Sea, Southern Aegean Sea and in the North-Eastern Aegean Sea. Mesozooplankton is collected by vertical tows within the 0-100 m layer or within the Black sea water body mass layer in the case of the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets and are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).

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The SES_GR1-Mesozooplankton faecal pellet production rates dataset is based on samples taken during April 2008 in the North-Eastern Aegean Sea. Mesozooplankton is collected by vertical tows within the Black sea water body mass layer in the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).