المؤلفون: Souza, Rui Gabriel Modesto de, Brentan, Bruno Melo, Lima, Gustavo Meirelles

المصدر: RBRH. January 2021 26

مصطلحات موضوعية: Artificial neural network, Water distribution network, Data-driven model

الوصف: The knowledge of hydraulic parameters in water distribution networks can indicate problems in real time, such as pipe bursts, small leakages, increase in pipe roughness and illegal connections. However, an accurate indication relies on the quantity and quality of the data acquired, i.e., the number of sensors used to monitor the network and their location. It is not economic feasible have a great number of sensors, thus, the use of artificial intelligence, such as Artificial Neural Networks (ANNs) can reduce the lack of information necessary to identify problems, estimating hydraulic parameter through the few information collected. The reliability of ANNs depends on its architecture, so, in this paper, different conditions are tested for ANN training to identify which are the most relevant parameters to be adjusted when the ANN is used for pressure estimation.

وصف الملف: text/html

الوصول الحر: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312021000100233Test

المؤلفون: Móller, Débora Salomé, Lima, Gustavo Meirelles, Brentan, Bruno Melo, Barros, Daniel Bezerra

المصدر: RBRH. January 2020 25

مصطلحات موضوعية: Pumps, Best Efficiency Point, Water Distribution Network, Optimization

الوصف: The optimization of pumping stations operation in water distribution networks has been largely studied, especially with the development of speed drivers, which allowed the machines to adjust the hydraulic power inserted to the system according to the demand requirements. Although this approach results in high benefits, the original characteristics of pumps remains the same. Consequently, the pumps can be operating in a range of suboptimal efficiency. Thus, this paper will evaluate the benefits that an optimized pump selection can bring for variable speed operation. The selection of the pumps best efficiency point and the number of pumps operating in parallel are defined applying Particle Swarm Optimization (PSO) to minimize the energy costs of the system. For the case study, the results show that there is no benefit when more pumps are operated in parallel, and that a flexible operational routine significantly reduces the energy expenses, especially when the pump is selected for this purpose.

وصف الملف: text/html

الوصول الحر: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100243Test

المؤلفون: Novarini, Bernardo, Brentan, Bruno Melo, Meirelles, Gustavo, Luvizotto Junior, Edevar

المصدر: RBRH. January 2019 24

مصطلحات موضوعية: Water distribution network, Pressure management, Clustering, Optimization

الوصف: Integrated management of water supply systems with efficient use of natural resources requires optimization of operational performances. Dividing the water supply networks into small units, so-called district metered areas (DMAs), is a strategy that allows the development of specific operational rules, responsible for improving the network performance. In this context, clustering methods congregate neighboring nodes in groups according to similar features, such as elevation or distance to the water source. Taking into account hydraulic, operational and mathematical criteria to determine the configuration of DMAs, this work presents the k-means model and a hybrid model, that combines a self-organizing map (SOM) with the k-means algorithm, as clustering methods, comparing four mathematical criteria to determine the number of DMAs, namely Silhouette, GAP, Calinski-Harabasz and Davies Bouldin. The influence of three clustering topological criteria is evaluated: the water demand, node elevation and pipe length, in order to determine the optimal number of clusters. Furthermore, to identify the best DMA configuration, the particle swarm optimization (PSO) method was applied to determine the number, cost, pressure setting of Pressure Reducing Valves and location of DMA entrances.

وصف الملف: text/html

الوصول الحر: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312019000100235Test

المؤلفون: Menapace, Andrea, Zanfei, Ariele, Herrera, Manuel, Brentan, Bruno

مصطلحات موضوعية: 4605 Data Management and Data Science, 46 Information and Computing Sciences, 40 Engineering, 9 Industry, Innovation and Infrastructure

الوصف: Urban water management faces new challenges due to the rise of digital solutions and abundant data, leading to the development of data-centric tools for decision-making in global water utilities, with AI technologies poised to become a key trend in the sector. This paper proposes a novel methodology for optimal sensor placement aimed at supporting the creation of a digital twin for water infrastructure. A significant innovation in this study is the creation of a metamodel to estimate pressure at consumption nodes in a water supply system. This metamodel guides the optimal sensor configuration by minimizing the difference between estimated and observed pressures. Our methodology was tested on a synthetic case study, showing accurate results. The estimated pressures at each network node exhibited low error and high accuracy across all sensor configurations tested, highlighting the potential for future development of a digital twin for water distribution systems. ; Italian Ministry of University and Research under the Project of Relevant Interest - PRIN2022 - CUP: J53D23002110006

وصف الملف: application/pdf

العلاقة: https://www.repository.cam.ac.uk/handle/1810/370048Test; https://doi.org/10.17863/CAM.109632Test

الإتاحة: https://doi.org/10.17863/CAM.109632Test
https://www.repository.cam.ac.uk/handle/1810/370048Test

المؤلفون: Jimenez, David A., Menapace, Andrea, Zanfei, Ariele, Pinto, Eber José de Andrade, Brentan, Bruno

المصدر: eISSN: 1607-7938

الوصف: General circulation models generate climate simulations on grids with resolutions ranging from 50 to 600 km. The resulting coarse spatial resolution of the model outcomes requires post-processing routines to ensure reliable climate information for practical studies, prompting the widespread application of downscaling techniques. However, assessing the effectiveness of multiple downscaling techniques is essential, as their accuracy varies depending on the objectives of the analysis and the characteristics of the case study. In this context, this study aims to evaluate the performance of downscaling the daily precipitation series in the Metropolitan Region of Belo Horizonte (MRBH), Brazil, with the final scope of performing frequency analyses and estimating total precipitation and the number of rainy days per hydrological year at both annual and multiannual levels. To develop this study, 78 climate model simulations with a horizontal resolution of 100 km, which participated in the SSP1-2.6 and/or SSP5-8.5 scenarios of CMIP6, are employed. The results highlight that adjusting the simulations from the general circulation models by the delta method, quantile mapping and regression trees produces accurate results for estimating the total precipitation and number of rainy days. Finally, it is noted that employing downscaled precipitation series through quantile mapping and regression trees also yields promising results in terms of the frequency analyses.

وصف الملف: application/pdf

العلاقة: https://hess.copernicus.org/articles/28/1981/2024Test/

الإتاحة: https://doi.org/10.5194/hess-28-1981-2024Test
https://hess.copernicus.org/articles/28/1981/2024Test/

المؤلفون: Karunakaran, Esther, Battarbee, Rick, Tait, Simon, Brentan, Bruno Melo, Berney, Cathal, Grinham, James, Herrero, Maria Angeles, Omolo, Ronex, Douterelo, Isabel

المصدر: Science of The Total Environment ; volume 912, page 168565 ; ISSN 0048-9697

مصطلحات موضوعية: Pollution, Waste Management and Disposal, Environmental Chemistry, Environmental Engineering

الإتاحة: https://doi.org/10.1016/j.scitotenv.2023.168565Test
https://api.elsevier.com/content/article/PII:S0048969723071930?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0048969723071930?httpAccept=text/plainTest

المؤلفون: Bonilla, Carlos, Brentan, Bruno, Montalvo, Idel, Ayala-Cabrera, David, Izquierdo Sebastián, Joaquín

المساهمون: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació

مصطلحات موضوعية: Water distribution network, Water management, Digitalization, Digital hydraulic model, Digital elevation model, MATEMATICA APLICADA, 06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos, 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación, 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles

الوصف: [EN] Digitalization in water networks is essential for the future planning of urban development processes in cities and is one of the great challenges faced by small cities regarding water management and the advancement of their infrastructures towards sustainable systems. The main objective of this study is to propose a methodology that allows water utilities with limited budgets to start the path toward the digitalization and construction of the hydraulic model of their water distribution networks. The small city of Pamplona in Colombia was used as a case study. The work explains in detail the challenges faced and the solutions proposed during the digitalization process. The methodology is developed in six phases: an analysis of the cadastre and existing information, the creation and conceptualization of the base hydraulic model, the development of the topography using drones with a limited budget, an analysis of water demand, the development of a digital hydraulic model, and a hydraulic analysis of the system. The product generated is a tool to assess the overall performance of the network and contributes to the advancement of SDG-6, SDG-9, and SDG-11. Finally, this document can be replicated by other cities and companies with similar characteristics (e.g., limited size and budget) and offers an intermediate position on the road to digitalization and the first steps towards the implementation of a digital twin. ; Bonilla, C.; Brentan, B.; Montalvo, I.; Ayala-Cabrera, D.; Izquierdo Sebastián, J. (2023). Digitalization of Water Distribution Systems in Small Cities, a Tool for Verification and Hydraulic Analysis: A Case Study of Pamplona, Colombia. Water. 15(21):1-20. https://doi.org/10.3390/w15213824Test ; 1 ; 20 ; 15 ; 21

العلاقة: Water; https://doi.org/10.3390/w15213824Test; urn:issn:2073-4441; http://hdl.handle.net/10251/201741Test

الإتاحة: https://doi.org/10.3390/w15213824Test
http://hdl.handle.net/10251/201741Test

المؤلفون: Jimenez Osorio, David Antonio, Menapace, Andrea, Zanfei, Ariele, Andrade Pinto, Eber José, Brentan, Bruno

المصدر: eISSN: 1607-7938

الوصف: General Circulation Models (GCMs) simulations result on grids ranging from 50 km to 600 km, and, therefore, this coarse spatial resolution requires data processing, whereby the application of downscaling techniques has become a standard procedure. The main approaches employed are Statistical DownScaling (SDS) and Dynamic DownScaling (DDS). The former SDS consists of Linear Methods (LM), Stochastic Weather Generators, and Artificial Intelligence DownScaling techniques (IADS). Being computationally less demanding and highly portable, most studies apply LM, and IADS approaches to develop the downscaling. However, it is needed to evaluate whether these approaches allow obtaining representative, in the development of rainfall frequency analysis (RFA), in the estimative of the total precipitation (TP) and the number of rainy days (RD) both water year and multiannual level, as well as identify whether any of these approaches provide better results for the last generation of GCM’s made available for CMIP 6. On this basis and considering only the models with a horizontal resolution of 100 km that participated in the SSP1-2.6 and/or SSP5-8.5 scenarios of CMIP6, the present study aim to evaluate the performance of Delta Method (DM), Quantile Mapping (QM) and Regression Trees (RT) to develop RFA, estimate the TP and RD, based on rainfall series obtained by DownScaling, respect to estimative developed with historical records. The results show that the application of DM, RT and QM does not guarantee a temporal correlation between the TP and RD estimated with DownScaling and historical series, likewise, it is observed that in the estimation of RFA, the application of RT generates better results than QM. Finally, it is evident that not applying any DownScaling technique and applying QM generates similar results.

وصف الملف: application/pdf

العلاقة: https://hess.copernicus.org/preprints/hess-2023-55Test/

الإتاحة: https://doi.org/10.5194/hess-2023-55Test
https://hess.copernicus.org/preprints/hess-2023-55Test/

المؤلفون: Gourbesville, Philippe, Freni, Gabriele, Demir, Ibrahim, García Navarro, Pilar, Lin, Gwo-Fong, Boxall, Joby, Brentan, Bruno Melo, Nguyen, Van Thanh-Van, Tassi, Pablo, Hinkelman, Reinhard, Di Cristo, Cristiana, Laucelli, Daniele, Berardi, Luigi, Menapace, Andrea, Meniconi, Silvia, Nohara, Daisuke, Rokstad, Marius, Gilewski, Pawel, Georgescu, Sanda-Carmen, Makropoulos, Christos, Delestre, Olivier, Kuo, Huaizhong, Abily, Morgan, Van Zyl, Jakobus, Popescu, Ioana, Qiang, Ma, Nguyen, Van Thinh, Liu, Dedi, Jang, Dongwoo, Shrestha, Sangam, Duong, Vo Ngoc

المصدر: Digital Water ; volume 1, issue 1 ; ISSN 2837-5807

الإتاحة: https://doi.org/10.1080/28375807.2024.2321312Test

المؤلفون: Bispo, Giulia Baldaconi S., Santos, Rozely F., Pompeo, Marcelo L.M., Ferraz, Silvio Frosini. B., Rodrigues, Carolina B., Brentan, Bruno M.

المصدر: Perspectives in Ecology and Conservation ; volume 21, issue 1, page 41-51 ; ISSN 2530-0644

مصطلحات موضوعية: Management, Monitoring, Policy and Law, Nature and Landscape Conservation, Ecology

الإتاحة: https://doi.org/10.1016/j.pecon.2023.01.001Test
https://api.elsevier.com/content/article/PII:S2530064423000019?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S2530064423000019?httpAccept=text/plainTest