Joaquim Comas
University of Girona
129 Papers
965 Citations
Joaquim Comas is an academic researcher from University of Girona. The author has contributed to research in topics: Decision support system & Membrane bioreactor. The author has an hindex of 32, co-authored 123 publications. Previous affiliations of Joaquim Comas include Catalan Institute for Water Research.
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Papers
Model-based knowledge acquisition in environmental decision support system for wastewater integrated management.
TL;DR: This analysis results in optimal operating set-points for each perturbation, improves river water quality, minimizes combined sewer overflows and optimizes flow lamination from storm water tanks, achieved by running Monte Carlo simulations and applying global sensitivity analysis.
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Evaluation of plant-wide WWTP control strategies including the effects of filamentous bulking sludge.
Xavier Flores-Alsina,Xavier Flores-Alsina,Joaquim Comas,Ignasi Rodríguez Roda,Ignasi Rodríguez Roda,Manel Poch,Manel Poch,Krist V. Gernaey,Ulf Jeppsson +8 more
TL;DR: In this article, the effect of filamentous bulking sludge on the predicted performance of simulated plant-wide WWTP control strategies was evaluated using multivariate analysis, and the results showed that using a TSS controller substantially increase the food to microorganisms (F/M) ratio in the bioreactor, thereby reducing both risk and effects of bulking.
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Data Mining as a Tool for Environmental Scientists
Jessica Spate,Karina Gibert,Miquel Sànchez-Marrè,Eibe Frank,Joaquim Comas,Ioannis N. Athanasiadis,Rebecca Letcher +6 more
- 01 Jan 2006
TL;DR: This paper introduces several data mining concepts and briefly discusses their application to environmental modelling, where data may be sparse, incomplete, or heterogenous.
Chapter Twelve Data Mining for Environmental Systems
TL;DR: The purpose of this chapter is not to present technical details on specific data mining techniques, but to provide general guidance to non-expert users to help them decide which technique is appropriate for solving their problem.
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Exploring the ecological status of human altered streams through Generative Topographic Mapping
TL;DR: This study explores how similar the selected streams are on the basis of the ecological descriptors measured to ascertain whether the same model of ecological status might hold over the variety of streams under consideration.
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