This book deals with the simultaneous making of Portuguese engineers and the Portuguese nation-state from the mid seventeenth century to the late twentieth century. It argues that the different meanings of being an engineer were directly dependent of projects of nation building and that one cannot understand the history of engineering in Portugal without detailing such projects. Symmetrically, the authors suggest that the very same ability of collectively imagining a nation relied on large measure on engineers and their practices. National culture was not only enacted through poetry, music, and history, but it demanded as well fortresses, railroads, steam engines, and dams. Portuguese engineers imagined their country in dialogue with Italian, British, French, German or American realities, many times overlapping such references. The book exemplifies how history of engineering makes more salient the transnational dimensions of national history. This is valid beyond the Portuguese case and draws attention to the potential of history of engineering for reshaping national histories and their local specificities into global narratives relevant for readers across different geographies.
Beyond the immeasurable political and economic changes it brought, colonial expansion exerted a powerful effect on Portuguese culture. And as this book demonstrates, the imperial culture that emerged over the course of four centuries was hardly a homogeneous whole, as triumphalist literature and other cultural forms mingled with recurrent doubts about the expansionist project. In a series of illuminating case studies, Ramada Curto follows the history and perception of major colonial initiatives while integrating the complex perspectives of participating agents to show how the empire’s life and culture were richly inflected by the operations of imperial expansion.
Managing urban water infrastructures faces the challenge of jointly dealing with assets of diverse types, useful life, cost, ages and condition. Service quality and sustainability require sound long-term planning, well aligned with tactical and operational planning and management. In summary, the objective of an integrated approach to infrastructure asset management is to assist utilities in answering the following questions:Who are we at present, and what service do we deliver? What do we own? Where do we want to be in the long-term? How do we get there?The AWARE-P approach (www.aware-p.org) offers a coherent methodological framework and a valuable portfolio of software tools. It is designed to assist water supply and wastewater utility decision-makers in their analyses and planning processes. It is based on a Plan-Do-Check-Act process and is in accordance with the key principles of the International Standards Organization (ISO) 55000 standards on asset management. It is compatible with, and complementary to WERF's SIMPLE framework. The software assists in strategic, tactical, and operational planning, through a non-intrusive, web-based, collaborative environment where objectives and metrics drive IAM planning. It is aimed at industry professionals and managers, as well as at the consultants and technical experts that support them. It is easy to use and maximizes the value of information from multiple existing data sources, both in data-rich and data-stressed environments.This project aimed at testing, validating and tailoring the AWARE-P approach and software in the U.S. wastewater services context; developing new open-source software tools. The project produced:* A portfolio of tools for the Advanced Water Management and Rehabilitation-Portugal (AWARE-P) software validated at Gwinnett County Department of Water Resources (GCDWR), the main pilot case, and at two other U.S. cases, where a large amount of GIS and inspection data from a major utility, and GIS and operational data from a small utility were extensively explored;* A new, enhanced version of the tool to assess infrastructure value and support long-term re-investment policies; and* A new set of tools directed at data mining and condition-based inspection analysis and prediction.
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