Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where A. Sá Marques is active.

Publication


Featured researches published by A. Sá Marques.


Water Science and Technology | 2010

Sensitivity analysis of surface runoff generation in urban flood forecasting

N. Simões; João P. Leitão; Cedo Maksimovic; A. Sá Marques; Rui Daniel Pina

Reliable flood forecasting requires hydraulic models capable to estimate pluvial flooding fast enough in order to enable successful operational responses. Increased computational speed can be achieved by using a 1D/1D model, since 2D models are too computationally demanding. Further changes can be made by simplifying 1D network models, removing and by changing some secondary elements. The Urban Water Research Group (UWRG) of Imperial College London developed a tool that automatically analyses, quantifies and generates 1D overland flow network. The overland flow network features (ponds and flow pathways) generated by this methodology are dependent on the number of sewer network manholes and sewer inlets, as some of the overland flow pathways start at manholes (or sewer inlets) locations. Thus, if a simplified version of the sewer network has less manholes (or sewer inlets) than the original one, the overland flow network will be consequently different. This paper compares different overland flow networks generated with different levels of sewer network skeletonisation. Sensitivity analysis is carried out in one catchment area in Coimbra, Portugal, in order to evaluate overland flow network characteristics.


WIT Transactions on Ecology and the Environment | 2002

Optimal integrated operation of pipeline systems and water treatment plants

Joaquim Sousa; M. da Conceição Cunha; A. Sá Marques

Water supply systems usually include a number of components (treatment plants, pipelines, pumping stations and distribution reservoirs), each of which performs a specific function. The interconnection between components requires the integrated operation of the systems. The operation of these systems is quite expensive because the energy consumption of some components is rather high. Both reasons (interconnection between components and high energy consumption) justify the development of tools to help their integrated operation while rninizing costs. This paper presents a mixed-integer optimization model aimed at minimizing systems operation costs, over a 24-hour period. The model includes constraints related to the physical behaviour of the systems, and takes the variable electricity tariff into account. The model is solved using two different methods: “Branch-and-Bound” (an exact method) and “Simulated Amealing” (a random search method), In order to compare the efficiency and effectiveness of the two methods, the model is applied to a hypothetical example. Even though the model has not yet been tested in practice, authors are convinced that the use of this type of tool could be of great help in the operation of water distribution systems, allowing significant savings in energy costs.


Procedia Engineering | 2014

Pressure-dependent Demand and Leakage Modelling with an EPANET Extension – WaterNetGen

J. Muranho; Ana Ferreira; Joaquim Sousa; Ana Gomes; A. Sá Marques


Water Science and Technology | 2010

Real-time forecasting urban drainage models: full or simplified networks?

João P. Leitão; N. Simões; Čedo Maksimović; Filipa Ferreira; Dušan Prodanović; José Saldanha Matos; A. Sá Marques


12th International Conference on Urban Drainage | 2011

Urban drainage models for flood forecasting: 1D/1D, 1D/2D and hybrid models

N. Simões; S. Ochoa; Joaquim Leitão; Rui Daniel Pina; A. Sá Marques


Procedia Engineering | 2014

WaterNetGen HELPS C-Town

Joaquim Sousa; J. Muranho; A. Sá Marques; Ricardo Gomes


Procedia Engineering | 2014

Technical Performance Evaluation of Water Distribution Networks based on EPANET

J. Muranho; Ana Ferreira; Joaquim Sousa; Ana Gomes; A. Sá Marques


12th International Conference on Urban Drainage | 2011

A coupled SSA-SVM technique for stochastic short-term rainfall forecasting

N. Simões; Lipen Wang; S. Ochoa; Joaquim Leitão; Rui Daniel Pina; Christian Onof; A. Sá Marques; Rita F. Carvalho; L. David; Rua Luís; Reis Santos


Procedia Engineering | 2015

Convergence issues in the EPANET solver

J. Muranho; A. Ferreira; Joaquim Sousa; Abel J. P. Gomes; A. Sá Marques


Journal of Hydrology | 2018

Identifying the best locations to install flow control devices in sewer networks to enable in-sewer storage

João P. Leitão; J.P. Carbajal; Joerg Rieckermann; N. Simões; A. Sá Marques; L.M. de Sousa

Collaboration


Dive into the A. Sá Marques's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joaquim Sousa

Polytechnic Institute of Coimbra

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

João P. Leitão

Swiss Federal Institute of Aquatic Science and Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ana Ferreira

Instituto Politécnico Nacional

View shared research outputs
Top Co-Authors

Avatar

Ricardo Gomes

Instituto Politécnico Nacional

View shared research outputs
Researchain Logo
Decentralizing Knowledge