216 research outputs found
Demand uncertainty In modelling WDS: scaling laws and scenario generation
Water distribution systems (WDS) are critical infrastructures that should be designed to work properly in different conditions. The design and management of WDS should take into account the uncertain nature of some system parameters affecting the overall reliability of these infrastructures. In this context, water demand represents the major source of uncertainty. Thus, uncertain demand should be either modelled as a stochastic process or characterized using statistical tools. In this paper, we extend to the 3rd and 4th order moments the analytical equations (namely scaling laws) expressing the dependency of the statistical moments of demand signals on the sampling time resolution and on the number of served users. Also, we describe how the probability density function (pdf) of the demand signal changes with both the increase of the user’s number and the sampling rate variation. With this aim, synthetic data and real indoor water demand data are used. The scaling laws of the water demand statistics are a powerful tool which allows us to incorporate the demand uncertainty in the optimization models for a sustainable management of WDS. Specifically, in the stochastic/robust optimization, solutions close to the optimum in different working conditions should be considered. Obviously, the results of these optimization models are strongly dependent on the conditions that are taken into consideration (i.e. the scenarios). Among the approaches for the definition of demand scenarios and their probability-weight of occurrence, the moment-matching method is based on matching a set of statistical properties, e.g. moments from the 1st (mean) to the 4th (kurtosis) order
First results on the use of a EDXRF scanner for 3D imaging of paintings
A 3D map of chemical elements distribution from energy-dispersive X-ray fluorescence (EDXRF) analysis would be a perfect conclusion in a detailed study of any type of artifact. This map can be easily achieved by using synchrotron light as source of radiation, and microoptics both at the source and at the detector. In such a manner a micro-voxel is irradiated and detected, which can be at any depth with respect to the surface of the artifact. This method is effective but needs a high-intensity X-ray source; therefore, its use in archaeometry is limited. An alternative method is proposed in the present paper, which uses a portable EDXRF-device to measure the altered Kα/Kβ or Lα/Lβ-ratios, which allow to locate the chemical elements. Several examples are described
Quantifying the impact of the stream-aquifer interaction on the surface-subsurface exchange
The exchange of oxygen and nutrients between the well-aerated stream water and the subsurface water is crucial for the biochemical conditions of the hyporheic zone, i.e., the interface region between the stream and the deep aquifer. The hyporheic zone is extremely important for the ecology of the fluvial environment because of the rich microbial community that lives on the hyporheic sediments. The metabolic activity of these microrganisms controls the fate of nitrogen and phosphorus in the pore water, and influences the fate of these nutrients at the catchment scale. Unfortunately, the uncomplete knowledge of the complex hydrodynamics of the coupled surface-subsurface flow field often hinders the understanding of the ecological relevance of the hyporheic processes. A reasonable amount of information on these hydrodynamic conditions is required by biologists and ecologists in order to gain a deeper insight on these processes. This contribution analyses how the interaction between the groundwater table and the free-surface stream influences the hyporheic exchange induced by the bedforms through the streambed. The most representative characteristics of the hyporheic exchange - e.g., the depth of the hyporheic zone - have been parametrized in terms of a small number of easily measurable quantities. These information on the hyporheic flow field provide the fundamental basis for the study of the ecological functioning of the hyporeic zon
Changing Route: Common Action on Food Systems Transformation in the Mediterranean
The Coronavirus pandemic has revealed the fragility of our food systems, affecting all dimensions of food security and nutrition across the world. It has highlighted how deeply our world is interconnected and the importance of better recognising and understanding the interconnections that are intrinsic to these systems and their key role in pursuit of the SDGs of the 2030 Agenda. There is now, more than ever, a stronger need for a "route change" towards a common action on food systems transformation. Dialogues among all stakeholders to redesign the future of tomorrow's food systems are needed to trigger collective, multi-stakeholder actions on the ground, at local, regional and global level, towards more sustainable food systems, linking sustainable food production to more healthy and sustainable food consumption. In this context CIHEAM, FAO, and the Union for the Mediterranean Secretariat (UfMS) initiated in 2019, a joint collaborative effort for the establishment of a multi-stakeholder platform on Sustainable Food Systems in the Mediterranean to accelerate the shift towards the Agenda 2030 in the Mediterranean region, with the Mediterranean diet acting as a driver
Community detection as a tool for DMA identification
Water losses, the portion of water introduced in a pipe network but not consumed by users, represent a significant problem in water distribution system (WDS) management. Modern guidelines suggest to divide the pipe network in clusters, in order to compute a water balance and measure water consumption by each group. These clusters are called district metered areas (DMAs). The division of a pipe network in DMAs is usually realized with a visual exam supported by technical experience. This approach, which is convenient for small WDSs, becomes dicult to apply to large WDSs characterized by thousands of user nodes and pipes.
Therefore, it is necessary to have an automatic tool to recognize the affinity degree of neighbouring nodes and to decide how to
assign a node to a particular DMA. We propose an automated approach to subdivide pipes, that only requires flow rates through the network. The method has been tested to a large WDS often used as benchmark. The approach successfully divides the pipe network in an acceptable number of DMAs. Each resulting DMA is characterized by a low number of external links and by a proper number of users
An innovative hardware in the loop architecture for the analysis of railway braking under degraded adhesion conditions through roller-rigs
Optimization of Potential Field Method Parameters through networks for Swarm Cooperative Manipulation Tasks
An interesting current research field related to autonomous robots is mobile manipulation performed by cooperating robots (in terrestrial, aerial and underwater environments). Focusing on the underwater scenario, cooperative manipulation of Intervention-Autonomous Underwater Vehicles (I-AUVs) is a complex and difficult application compared with the terrestrial or aerial ones because of many technical issues, such as underwater localization and limited communication. A decentralized approach for cooperative mobile manipulation of I-AUVs based on Artificial Neural Networks (ANNs) is proposed in this article. This strategy exploits the potential field method; a multi-layer control structure is developed to manage the coordination of the swarm, the guidance and navigation of I-AUVs and the manipulation task. In the article, this new strategy has been implemented in the simulation environment, simulating the transportation of an object. This object is moved along a desired trajectory in an unknown environment and it is transported by four underwater mobile robots, each one provided with a seven-degrees-of-freedom robotic arm. The simulation results are optimized thanks to the ANNs used for the potentials tuning
Gold and Silver joining technologies in the Moche Tombs “Señor de Sipán” and “Señora de Cao jewelery
About 200 gold and silver funerary ornaments from the Moche tombs “Señor de Sipán” and “Señora de Cao” were analyzed to determine
their metallurgic characteristics. Of particular interest was the question about the gold-silver joining process. To this aim, following
methods were employed, all based on the use of X-rays:
- energy dispersive X-ray fluorescence;
- transmission of monoenergetic fluorescent X-rays;
- radiography.
At least three joining methods were possibly identified:
- of gluing gold and silver sheets;
- of brazing using a proper solder;
- of using a mercury amalgam
- …