The construction of gas-works and the manufacture and distribution of coal gas /

Includes index.

Description of works and other information prepared for the members of the Gas Committee.

At head of title: Manchester Corporation Gas Works.

Second Welland Canal - Book 1, Survey Map 10 - St. Catharines

Survey map of the Second Welland Canal created by the Welland Canal Company along the western edge of the Town of St. Catharines. Although not labelled, the Second Welland Canal can be seen running through the map along with its tow path, which is located on the southwestern edge of the waterway. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are identified and include streets and roads (ex. Ontario Street and Road to Hamilton), Artesian Mineral Well, Dr. Mack's Artesian Well, Stephenson House Mineral Well and Gas Works, New Brewery, Old Brewery, Welland House Mineral Well, L. Shickluna's Shipyard, Vinegar Manufactory, Merritt's Covered Race, Mitchels Wharf, Sail Loft, an office, a tavern, two barns, a boathouse, a structure belonging to T. Nihan (or P. Nihen), and some store houses. Properties and property owners of note are: Concession 6 Lot 20, William H. Merritt, E. S. Adams, William Chace, Jacob Hainer, J. Taylor, and J. P. Merritt.

Second Welland Canal - Book 1, Survey Map 13 - St. Catharines and Locks 4 and 5

Survey map of the Second Welland Canal created by the Welland Canal Company showing the Town of St. Catharines. Identified structures associated with the Canal include Lock 4, Lock House, Lock 5, Small Lock House, the towing path, and Gasometer for Canal. The surveyors' measurements and notes can be seen in red and black ink and pencil. Local area landmarks are also identified and include streets and roads (ex. Geneva Street, Queenston Street, and Academy Street), C. Phelps Mill and Store House, St. Catharines and Welland Canal Gas Works, William Mahony's Tannery, Cooper Shop, a barrel shed, barn, and gas tanks. Properties and property owners of note are: Concession 6 Lots 14, 14, and 16, Concession 7 Lots 14, 15, and 16, C. Phelps, R. M. Clement, Orson Phelps, R. Collier, D. P. Haynes, W. Chace, and John Soper.

Desarrollo de un modelo de predimensionado de costes de construcción en el proyecto arquitectónico

El objetivo de la presente investigación es el desarrollo de un modelo de cálculo rápido, eficiente y preciso, para la estimación de los costes finales de construcción, en las fases preliminares del proyecto arquitectónico. Se trata de una herramienta a utilizar durante el proceso de elaboración de estudios previos, anteproyecto y proyecto básico, no siendo por tanto preciso para calcular el “predimensionado de costes” disponer de la total definición grafica y literal del proyecto. Se parte de la hipótesis de que en la aplicación práctica del modelo no se producirán desviaciones superiores al 10 % sobre el coste final de la obra proyectada. Para ello se formulan en el modelo de predimensionado cinco niveles de estimación de costes, de menor a mayor definición conceptual y gráfica del proyecto arquitectónico. Los cinco niveles de cálculo son: dos que toman como referencia los valores “exógenos” de venta de las viviendas (promoción inicial y promoción básica) y tres basados en cálculos de costes “endógenos” de la obra proyectada (estudios previos, anteproyecto y proyecto básico). El primer nivel de estimación de carácter “exógeno” (nivel .1), se calcula en base a la valoración de mercado de la promoción inmobiliaria y a su porcentaje de repercusión de suelo sobre el valor de venta de las viviendas. El quinto nivel de valoración, también de carácter “exógeno” (nivel .5), se calcula a partir del contraste entre el valor externo básico de mercado, los costes de construcción y los gastos de promoción estimados de la obra proyectada. Este contraste entre la “repercusión del coste de construcción” y el valor de mercado, supone una innovación respecto a los modelos de predimensionado de costes existentes, como proceso metodológico de verificación y validación extrínseca, de la precisión y validez de las estimaciones resultantes de la aplicación práctica del modelo, que se denomina Pcr.5n (Predimensionado costes de referencia con .5niveles de cálculo según fase de definición proyectual / ideación arquitectónica). Los otros tres niveles de predimensionado de costes de construcción “endógenos”, se estiman mediante cálculos analíticos internos por unidades de obra y cálculos sintéticos por sistemas constructivos y espacios funcionales, lo que se lleva a cabo en las etapas iniciales del proyecto correspondientes a estudios previos (nivel .2), anteproyecto (nivel .3) y proyecto básico (nivel .4). Estos cálculos teóricos internos son finalmente evaluados y validados mediante la aplicación práctica del modelo en obras de edificación residencial, de las que se conocen sus costes reales de liquidación final de obra. Según va evolucionando y se incrementa el nivel de definición y desarrollo del proyecto, desde los estudios previos hasta el proyecto básico, el cálculo se va perfeccionando en su nivel de eficiencia y precisión de la estimación, según la metodología aplicada: [aproximaciones sucesivas en intervalos finitos], siendo la hipótesis básica como anteriormente se ha avanzado, lograr una desviación máxima de una décima parte en el cálculo estimativo del predimensionado del coste real de obra. El cálculo del coste de ejecución material de la obra, se desarrolla en base a parámetros cúbicos funcionales “tridimensionales” del espacio proyectado y parámetros métricos constructivos “bidimensionales” de la envolvente exterior de cubierta/fachada y de la huella del edificio sobre el terreno. Los costes funcionales y constructivos se ponderan en cada fase del proceso de cálculo con sus parámetros “temáticos/específicos” de gestión (Pg), proyecto (Pp) y ejecución (Pe) de la concreta obra presupuestada, para finalmente estimar el coste de construcción por contrata, como resultado de incrementar al coste de ejecución material el porcentaje correspondiente al parámetro temático/especifico de la obra proyectada. El modelo de predimensionado de costes de construcción Pcr.5n, será una herramienta de gran interés y utilidad en el ámbito profesional, para la estimación del coste correspondiente al Proyecto Básico previsto en el marco técnico y legal de aplicación. Según el Anejo I del Código Técnico de la Edificación (CTE), es de obligado cumplimiento que el proyecto básico contenga una “Valoración aproximada de la ejecución material de la obra proyectada por capítulos”, es decir , que el Proyecto Básico ha de contener al menos un “presupuesto aproximado”, por capítulos, oficios ó tecnologías. El referido cálculo aproximado del presupuesto en el Proyecto Básico, necesariamente se ha de realizar mediante la técnica del predimensionado de costes, dado que en esta fase del proyecto arquitectónico aún no se dispone de cálculos de estructura, planos de acondicionamiento e instalaciones, ni de la resolución constructiva de la envolvente, por cuanto no se han desarrollado las especificaciones propias del posterior proyecto de ejecución. Esta estimación aproximada del coste de la obra, es sencilla de calcular mediante la aplicación práctica del modelo desarrollado, y ello tanto para estudiantes como para profesionales del sector de la construcción. Como se contiene y justifica en el presente trabajo, la aplicación práctica del modelo para el cálculo de costes en las fases preliminares del proyecto, es rápida y certera, siendo de sencilla aplicación tanto en vivienda unifamiliar (aisladas y pareadas), como en viviendas colectivas (bloques y manzanas). También, el modelo es de aplicación en el ámbito de la valoración inmobiliaria, tasaciones, análisis de viabilidad económica de promociones inmobiliarias, estimación de costes de obras terminadas y en general, cuando no se dispone del proyecto de ejecución y sea preciso calcular los costes de construcción de las obras proyectadas. Además, el modelo puede ser de aplicación para el chequeo de presupuestos calculados por el método analítico tradicional (estado de mediciones pormenorizadas por sus precios unitarios y costes descompuestos), tanto en obras de iniciativa privada como en obras promovidas por las Administraciones Públicas. Por último, como líneas abiertas a futuras investigaciones, el modelo de “predimensionado costes de referencia 5 niveles de cálculo”, se podría adaptar y aplicar para otros usos y tipologías diferentes a la residencial, como edificios de equipamientos y dotaciones públicas, valoración de edificios históricos, obras de urbanización interior y exterior de parcela, proyectos de parques y jardines, etc….. Estas lineas de investigación suponen trabajos paralelos al aquí desarrollado, y que a modo de avance parcial se recogen en las comunicaciones presentadas en los Congresos internacionales Scieconf/Junio 2013, Rics‐Cobra/Septiembre 2013 y en el IV Congreso nacional de patología en la edificación‐Ucam/Abril 2014. ABSTRACT The aim of this research is to develop a fast, efficient and accurate calculation model to estimate the final costs of construction, during the preliminary stages of the architectural project. It is a tool to be used during the preliminary study process, drafting and basic project. It is not therefore necessary to have the exact, graphic definition of the project in order to be able to calculate the cost‐scaling. It is assumed that no deviation 10% higher than the final cost of the projected work will occur during the implementation. To that purpose five levels of cost estimation are formulated in the scaling model, from a lower to a higher conceptual and graphic definition of the architectural project. The five calculation levels are: two that take as point of reference the ”exogenous” values of house sales (initial development and basic development), and three based on calculation of endogenous costs (preliminary study, drafting and basic project). The first ”exogenous” estimation level (level.1) is calculated over the market valuation of real estate development and the proportion the cost of land has over the value of the houses. The fifth level of valuation, also an ”exogenous” one (level.5) is calculated from the contrast between the basic external market value, the construction costs, and the estimated development costs of the projected work. This contrast between the ”repercussions of construction costs” and the market value is an innovation regarding the existing cost‐scaling models, as a methodological process of extrinsic verification and validation, of the accuracy and validity of the estimations obtained from the implementation of the model, which is called Pcr.5n (reference cost‐scaling with .5calculation levels according to the stage of project definition/ architectural conceptualization) The other three levels of “endogenous” construction cost‐scaling are estimated from internal analytical calculations by project units and synthetic calculations by construction systems and functional spaces. This is performed during the initial stages of the project corresponding to preliminary study process (level.2), drafting (level.3) and basic project (level.4). These theoretical internal calculations are finally evaluated and validated via implementation of the model in residential buildings, whose real costs on final payment of the works are known. As the level of definition and development of the project evolves, from preliminary study to basic project, the calculation improves in its level of efficiency and estimation accuracy, following the applied methodology: [successive approximations at finite intervals]. The basic hypothesis as above has been made, achieving a maximum deviation of one tenth, in the estimated calculation of the true cost of predimensioning work. The cost calculation for material execution of the works is developed from functional “three‐dimensional” cubic parameters for the planned space and constructive “two dimensional” metric parameters for the surface that envelopes around the facade and the building’s footprint on the plot. The functional and building costs are analyzed at every stage of the process of calculation with “thematic/specific” parameters of management (Pg), project (Pp) and execution (Pe) of the estimated work in question, and finally the cost of contractual construction is estimated, as a consequence of increasing the cost of material execution with the percentage pertaining to the thematic/specific parameter of the projected work. The construction cost‐scaling Pcr.5n model will be a useful tool of great interest in the professional field to estimate the cost of the Basic Project as prescribed in the technical and legal framework of application. According to the appendix of the Technical Building Code (CTE), it is compulsory that the basic project contains an “approximate valuation of the material execution of the work, projected by chapters”, that is, that the basic project must contain at least an “approximate estimate” by chapter, trade or technology. This approximate estimate in the Basic Project is to be performed through the cost‐scaling technique, given that structural calculations, reconditioning plans and definitive contruction details of the envelope are still not available at this stage of the architectural project, insofar as specifications pertaining to the later project have not yet been developed. This approximate estimate of the cost of the works is easy to calculate through the implementation of the given model, both for students and professionals of the building sector. As explained and justified in this work, the implementation of the model for cost‐scaling during the preliminary stage is fast and accurate, as well as easy to apply both in single‐family houses (detached and semi‐detached) and collective housing (blocks). The model can also be applied in the field of the real‐estate valuation, official appraisal, analysis of the economic viability of real estate developments, estimate of the cost of finished projects and, generally, when an implementation project is not available and it is necessary to calculate the building costs of the projected works. The model can also be applied to check estimates calculated by the traditional analytical method (state of measurements broken down into price per unit cost details), both in private works and those promoted by Public Authorities. Finally, as potential lines for future research, the “five levels of calculation cost‐scaling model”, could be adapted and applied to purposes and typologies other than the residential one, such as service buildings and public facilities, valuation of historical buildings, interior and exterior development works, park and garden planning, etc… These lines of investigation are parallel to this one and, by way of a preview, can be found in the dissertations given in the International Congresses Scieconf/June 2013, Rics‐Cobra/September 2013 and in the IV Congress on building pathology ‐Ucam/April 2014.

Statistical statements showing the results of working during a period of ten years ending the 31st March, 1905.

Half title-page.

Statistics with working results for the year ending 31st March, 1905.

At head of title: Manchester Corporation Gas Works.

Michigan Central Station

note gas works behind depot

Health consultation : Sub-Slab Gas and Air Sampling Data Alcoa – Davenport Works CERCLIS No. IAD005270160 Riverdale, Scott County, Iowa (2005)

The U.S. Environmental Protection Agency (EPA), the Alcoa – Davenport Works Facility (Alcoa), and concerned citizens and community leaders of Riverdale, Iowa requested the Iowa Department of Public Health (IDPH) Hazardous Waste Site Health Assessment Program to evaluate the health impacts of exposures to volatile organic vapors detected within residences located immediately to the west of the Alcoa property. This health consultation addresses inhalation exposure to individuals that may have occupied the currently vacant residences in which the air sampling was completed.

Ordinances and contracts under which the Mahoning Valley Railway Company, the Youngstown & Sharon Street Railway Company, the Youngstown Park & Falls Street Railway Company, the Youngstown Consolidated Gas & Electric Company are operating within the City of Youngstown, Ohio.

Mode of access: Internet.

Designing real nanotube-based gas sensors

Using a combination of density functional theory and recursive Green's functions techniques, we present a full description of a large scale sensor, accounting for disorder and different coverages. Here, we use this method to demonstrate the functionality of nitrogen-rich carbon nanotubes as ammonia sensors as an example. We show how the molecules one wishes to detect bind to the most relevant defects on the nanotube, describe how these interactions lead to changes in the electronic transport properties of each isolated defect, and demonstrate that there are significative resistance changes even in the presence of disorder, elucidating how a realistic nanosensor works.

Gas flow analysis in a Kraft recovery boiler

Demands for optimal boiler performance and increased concerns in lowering emission have always been the driving force in the reevaluation and evolution of the Kraft boiler: specifically the air distribution strategies that are directly related to achieving increased residence time of flue gas combustion inside the furnace which in turn lowers atmosphere emission levels and enhances boiler operation. This paper presents the results of a study that analyzes the interaction of the different multilevel air injections have on flue gas flow patterns including various quaternary air supply arrangements. Additionally, this study assesses the performance of the CFD (Computational Fluid Dynamics) model against data available in literature. Simulations were performed considering isothermal and incompressible flows, and did not take into account thermal phenomena or chemical reactions. The numerical solutions generated proved to be coherently related to the data available in literature, and provided proof of the efficiency of tertiary level air injection, as well as revealed that quaternary air injection ports arranged in a symmetrical configuration is most suitable for optimal equipment operation. (C) 2010 Elsevier B.V. All rights reserved.

Pyrolysis-Gas Chromatography/Mass Spectrometry of Soil Organic Matter Extracted from a Brazilian Mangrove and Spanish Salt Marshes

The soil organic matter (SOM) extracted under different vegetation types from a Brazilian mangrove (Pai Matos Island, Sao Paulo State) and from three Spanish salt marshes (Betanzos Ria and Corrubedo Natural Parks, Galicia, and the Albufera Natural Park, Valencia) was investigated by pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). The chemical variation was larger in SOM from the Spanish marshes than in the SOM of the Brazilian mangroves, possibly because the marshes included sites with both tidal and nontidal variation, whereas the mangrove forest underwent just tidal variation. Thus, plant-derived organic matter was better preserved under permanently anoxic environments. Moreover, given the low number of studied profiles and sedimentary-vegetation sequences in both areas, depth trends remain unclear. The chemical data also allow distinction between the contributions of woody and nonwoody vegetation inputs. Soil organic matter decomposition was found to cause: (i) a decrease in lignin contents and a relative increase in aliphatics; (ii) an increase in short-chain aliphatics at the expense of longer ones; (iii) a loss of odd-over-even dominance in alkanes and alkenes; and (iv) an increase in microbial products, including proteins, sterols, short-chain fatty acids, and alkanes. Pyrolysis-gas chromatography/mass spectrometry is a useful tool to study the behavior and composition of SOM in wetland environments such as mangroves and salt marshes. Additional profiles need to be studied for each vegetation type, however, to improve the interpretability of the chemical data.

Statistical evidences of cyclic changes in volcanic gas chemistry composition by inverse modelling

The identification of compositional changes in fumarolic gases of active and quiescent volcanoes is one of the mostimportant targets in monitoring programs. From a general point of view, many systematic (often cyclic) and randomprocesses control the chemistry of gas discharges, making difficult to produce a convincing mathematical-statisticalmodelling.Changes in the chemical composition of volcanic gases sampled at Vulcano Island (Aeolian Arc, Sicily, Italy) fromeight different fumaroles located in the northern sector of the summit crater (La Fossa) have been analysed byconsidering their dependence from time in the period 2000-2007. Each intermediate chemical composition has beenconsidered as potentially derived from the contribution of the two temporal extremes represented by the 2000 and 2007samples, respectively, by using inverse modelling methodologies for compositional data. Data pertaining to fumarolesF5 and F27, located on the rim and in the inner part of La Fossa crater, respectively, have been used to achieve theproposed aim. The statistical approach has allowed us to highlight the presence of random and not random fluctuations,features useful to understand how the volcanic system works, opening new perspectives in sampling strategies and inthe evaluation of the natural risk related to a quiescent volcano

Blood-gas and electrolyte values for Amazon parrots (Amazona aestiva)

The aim was to provide reference data for blood gas/acid-base status and electrolytes for non-anesthetized Amazon parrots (Amazona aestiva). Thirty-five adult parrots from Tietê ecologic park were utilized. Arterial blood (0.3ml) samples were anaerobically collected from the superficial ulnar artery in heparinized (sodium heparin) 1-ml plastic syringes. The samples were immediately analyzed through a portable analyzer (i-STAT*, Abbot, Illinois, USA) with cartridges (EG7+). These data were grouped in such a way as to present both mean and standard deviation: body weight (360±37g), respiratory rate (82±33 b/m), temperature (41.8±0.6°C), hydrogen potential (7.452±0.048), carbon dioxide partial pressure (22.1±4.0mmHg), oxygen partial pressure (98.1±7.6mmHg), base excess (-7.9±3.1), plasma concentration of bicarbonate ions (14.8±2.8mmol/L), oxygen saturation (96.2±1.1%), plasma concentration of sodium (147.4±2.2mmol/L), plasma concentration of potassium (3.5±0.53mmol/L), plasma concentration of calcium (0.8±0.28mmol/L), hematocrit (38.7±6.2%) and concentration of hemoglobin (13.2±2.1g/dl). This study led us to conclude that, although the results obtained showed hypocapnia and low values of bicarbonate and base excess, when compared to other avian species, these data are very similar. Besides, in spite of the equipment being approved only for human beings, it was considered simple and very useful in the analysis of avian blood samples. By using this equipment we were able to provide references data for non-anaesthetized Amazon parrots.