Water Technological Center

Spain

Water Technological Center

Spain

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Platikanov S.,CSIC - Institute of Environmental Assessment And Water Research | Platikanov S.,Water Technological Center | Hernandez A.,Aigues Of Barcelona Agbar Laboratory | Gonzalez S.,Water Technological Center | And 3 more authors.
Talanta | Year: 2017

The overall liking for taste of water was correlated with the mineral composition of selected bottled and tap waters. Sixty-nine untrained volunteers assessed and rated twenty-five different commercial bottled and tap waters from. Water samples were physicochemical characterised by analysing conductivity, pH, total dissolved solids (TDS) and major anions and cations: HCO3 -, SO4 2-, Cl-, NO3 -, Ca2+, Mg2+, Na+, and K+. Residual chlorine levels were also analysed in the tap water samples. Globally, volunteers preferred waters rich in calcium bicarbonate and sulfate, rather than in sodium chloride. This study also demonstrated that it was possible to accurately predict the overall liking by a Partial Least Squares regression using either all measured physicochemical parameters or a reduced number of them. These results were in agreement with previously published results using trained panellists. © 2016 Elsevier B.V.


Perez R.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Pascual J.,Polytechnic University of Catalonia | Quevedo J.,Polytechnic University of Catalonia | And 2 more authors.
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2010

Leaks are present to some extent in all water-distribution systems. This paper proposes a leakage localisation method based on the pressure measurements and pressure sensitivity analysis of nodes in a network. The sensitivity analysis using analytical tools is not a trivial job in a real network because the huge non-explicit non-línear systems of equation that describe its dynamics. Simulations of the network in presence and absence of leakage may provide an approximation of this sensitivity. This matrix is binarised using a threshold independent of the node. The binary matrix is assumed as a signature matrix for leakages. However, there is a trade-off between the resolution of the leakage isolation procedure and the number of available pressure sensors. In order to maximise the isolability with a reasonable number of sensors, an optimal sensor placement methodology, based on genetic algorithms, is also proposed. This methodology has been developed for Barcelona Network using Piccolo simulator. The sensor placement and the leakage detection and localization methodologies are applied to district management areas (DMA).


Gibert O.,Polytechnic University of Catalonia | Gibert O.,Water Technological Center | Valderrama C.,Polytechnic University of Catalonia | Peterkova M.,Polytechnic University of Catalonia | And 2 more authors.
Solvent Extraction and Ion Exchange | Year: 2010

Three commercially available sorbents/exchangers (namely CsTreat, ZrP, and S910) were evaluated under column conditions for the extraction of four metals (Cs(I), Rb(I), Li(I), and U(VI)) from a brine rejected by a Seawater Reverse Osmosis plant. From the obtained breakthrough curves and periodic analysis of the influent and effluent, the uptake capacities of the materials were quantified. The fixation of the target metal onto the sorbents was investigated also by SEM-EDX and FTIR-ATR analysis. The results showed that CsTreat displayed a high sorption capacity of Rb(I) and a fairly high sorption capacity of Cs(I), as the resin S910 showed of U(VI), while ZrP proved to be ineffective for the retention of Li(I). © Taylor & Francis Group, LLC.


Perez R.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Puig V.,Iri Institute Of Robotica I Informatica Industrial Csic Upc | Pascual J.,Polytechnic University of Catalonia | And 3 more authors.
Control Engineering Practice | Year: 2011

Leaks are present to some extent in all water-distribution systems. This paper proposes a leakage localisation method based on the pressure measurements and pressure sensitivity analysis of nodes in a network. The sensitivity analysis using analytical tools is not a trivial job in a real network because of the huge non-explicit non-linear systems of equations that describe its dynamics. Simulations of the network in the presence and the absence of leakage may provide an approximation of this sensitivity. This matrix is binarised using a threshold independent of the node. The binary matrix is assumed as a signature matrix for leakages. However, there is a trade-off between the resolution of the leakage isolation procedure and the number of available pressure sensors. In order to maximise the isolability with a reasonable number of sensors, an optimal sensor placement methodology, based on genetic algorithms, is also proposed. These methodologies have been applied to the Barcelona Network using PICCOLO simulator. The sensor placement and the leakage detection and localisation methodologies are applied to several district management areas (DMA) in simulation and in reality. © 2011 Elsevier Ltd.


Meseguer J.,Water Technological Center | Meseguer J.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Escobet T.,Polytechnic University of Catalonia
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans | Year: 2010

This paper proposes a fault diagnosis method using a timed discrete-event approach based on interval observers that improves the integration of fault detection and isolation tasks. The interface between fault detection and fault isolation considers the activation degree and the occurrence time instant of the diagnostic signals using a combination of several theoretical fault signature matrices that store the knowledge of the relationship between diagnostic signals and faults. The fault isolation module is implemented using a timed discrete-event approach that recognizes the occurrence of a fault by identifying a unique sequence of observable events (fault signals). The states and transitions that characterize such a system can directly be inferred from the relation between fault signals and faults. The proposed fault diagnosis approach has been motivated by the problem of detecting and isolating faults of the Barcelona's urban sewer system limnimeters (level meter sensors). The results obtained in this case study illustrate the benefits of using the proposed approach in comparison with the standard fault detection and isolation approach. © 2010 IEEE.


Murtra A.C.,Water Technological Center | Mirats Tur J.M.,Water Technological Center
IEEE Conference on Technologies for Practical Robot Applications, TePRA | Year: 2013

Inner pipe inspection of sewer networks is a hard and tedious task, due to the nature of the environment, which is narrow, dark, wet and dirty. So, mobile robots can play an important role to solve condition assessment of such huge civil infrastructures, resulting in a clear benefit for citizens. One of the fundamental tasks that a mobile robot should solve is localization, but in such environments GPS signal is completely denied, so alternative methods have to be developed. Visual odometry and visual SLAM are promising techniques to be applied in such environments, but they require a populated set of visual feature tracks, which is a requirement that can not be fulfilled in such environments in a continuous way. With the aim of designing robust and reliable robot systems, this paper proposes and evaluates a complementary approach to localize a mobile robot, which is based on sensor data fusion of an inertial measurement unit and of a cable encoder, which measures the length of an unfolded cable, from the starting point of operations up to the tethered robot. Data fusion is based on optimization of a set of windowed states given the sensor measurements in that window. The paper details theoretical basis, practical implementation issues and results obtained in testing pipe scenarios. © 2013 IEEE.


Platikanov S.,CSIC - Institute of Environmental Assessment And Water Research | Garcia V.,Aigues Of Barcelona Agbar Laboratory | Fonseca I.,Water Technological Center | Rullan E.,Water Technological Center | And 2 more authors.
Water Research | Year: 2013

Chemometric analysis was performed on two sets of sensory data obtained from two separate studies. Twenty commercially-available bottled mineral water samples (from the first study) and twenty-five drinking tap and bottled water samples (from the second study) were blind tasted by trained panelists. The panelists expressed their overall liking of the water samples by rating from 0 (worst flavor) to 10 (best flavor). The mean overall score was compared to the physicochemical properties of the samples. Thirteen different physicochemical parameters were considered in both studies and, additionally, residual chlorine levels were assessed in the second study. Principal component analysis performed on the physicochemical parameters and the panelists' mean scores generated models that explain most of the total data variance. Moreover, partial least squares regression of the panelists' sensory evaluations of the physicochemical data helped elucidate the main features underlying the panelists' ratings. The preferred bottled and tap water samples were associated with moderate (relatively to the parameters mean values) contents of total dissolved solids and with relatively high concentrations of HCO3-, SO42-, Ca2+ and Mg2+ as well as with relatively high pH values. High concentrations of Na+, K+ and Cl- were scored low by many of the panelists, while residual chlorine did not affect the ratings, but did enable the panel to distinguish between bottled mineral water and tap water samples. © 2012 Elsevier Ltd.


PubMed | Aigues Of Barcelona Agbar Laboratory, Water Technological Center and CSIC - Institute of Environmental Assessment And Water Research
Type: | Journal: Talanta | Year: 2016

The overall liking for taste of water was correlated with the mineral composition of selected bottled and tap waters. Sixty-nine untrained volunteers assessed and rated twenty-five different commercial bottled and tap waters from. Water samples were physicochemical characterised by analysing conductivity, pH, total dissolved solids (TDS) and major anions and cations: HCO

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