Titlebook: Real-time Monitoring and Operational Control of Drinking-Water Systems; Vicen? Puig,Carlos Ocampo-Martínez,Teresa Escobet Book 2017 Spring

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Juan Manuel Grosso,Carlos Ocampo-Martínez,Vicen? Puig. Alveolar units are small (~80 μm diameter) and joined with other alveoli to form sacs. The sacs are connected to other alveoli by a highly branched duct system and pores of Kohn which allow bulk flow and the passage of particles as large as cells.. These properties, coupled with the lack of rigidi

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Vicen? Puig,Carlos Ocampo-Martínez,Deneb Robles,Luis Eduardo Garza-Casta?ón cell proliferation and squamous metaplasia. The malign lesions include dysplasia, carcinoma . and microcarcinoma but not frankly invasive carcinoma which is truly malignant. It is this malign group which will be defined and discussed in this chapter. In order that the natural history and malignant

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1430-9491 drinking-water networks.Includes case studies that readers This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficien

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Demand Forecasting for Real-Time Operational Controlinformation. This chapter focuses on the daily and hourly forecasts applied to the Barcelona transport water network. In the hourly forecast, the exponential smoothing method is the most accurate. On the other hand, the seasonal ARIMA and the exponential smoothing are similar in the daily timescale.

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Book 2017tion technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees..The methods and approaches presented are illustrated and have been applied using real-life pilot demonstratio

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Parameter Estimation: Definition and Sampling Designomplex systems, like water distribution networks, need such models in order to comprehend them. Models presented in Chap.?. are used in simulation, optimization, supervision, leak detection, etc. When the model is generated, large errors are introduced. These errors discourage the technicians unless

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Parameter Estimation: Online Calibration driving force behind the hydraulic dynamics. A good calibration of demands is mandatory to obtain accurate results when simulating the hydraulic model. The simulation of the models, presented in previous chapters, is useful in a wide range of applications, as leakage detection and isolation, contro