Optimal maintenance of constructed wetlands using an environmental decision support system

2005 ◽  
Vol 51 (10) ◽  
pp. 109-117 ◽  
Author(s):  
C. Turon ◽  
J. Alemany ◽  
J. Bou ◽  
J. Comas ◽  
M. Poch
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Constructed Wetlands ◽  
Support System ◽  
Problem Analysis ◽  
Small Communities ◽  
Operation And Maintenance ◽  
Optimal Maintenance ◽  
Iv Model ◽  
Environmental Decision

Constructed wetlands (CWs) are artificial wastewater treatment systems appropriate for small communities because of their affordability, operability and reliability. These qualities are true whenever CWs are designed and constructed properly, and as long as the necessary operation and maintenance procedures are carried out correctly. Experience shows that the operation and maintenance procedures, and the frequencies with which these procedures are carried out, differ from one CW to another. With this in mind, and along with a projected increase in CWs in Catalonia, the Catalan Water Agency (Agència Catalana de l'Aigua) has developed an Environmental Decision Support System (EDSS) which proposes guidelines for monitoring and maintenance, according to the characteristics of each CW. This EDSS was developed following a methodology based on five steps: (i) problem analysis; (ii) collecting data and knowledge acquisition; (iii) model selection; (iv) model implementation and (v) validation. This paper describes the methodology followed to build the decision support system and presents some examples of the information provided by this EDSS.

A logic-based environmental decision support system for the management of horizontal subsurface constructed wetlands

2012 ◽  
Vol 47 ◽  
pp. 44-55 ◽  
Author(s):  
Dario Garcia-Gasulla ◽  
Manel Poch ◽  
Juan Carlos Nieves ◽  
Ulises Cortés ◽  
Claudia Turon
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Constructed Wetlands ◽  
Support System ◽  
Environmental Decision

On the Ontology of a Decision Support System in Health Informatics

2011 ◽  
pp. 120-142 ◽  
Author(s):  
Pirkko Nykanen
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Health Informatics ◽  
System Development ◽  
Systems Science ◽  
Problem Analysis ◽  
Application Characteristics ◽  
Task Ontology ◽  
Knowledge Creation And Sharing

A decision support system can be approached from two major disciplinary perspectives, those of information systems science (ISS) and artificial intelligence (AI). We present in this chapter an extended ontology for a decision support system in health informatics. The extended ontology is founded on related research in ISS and AI and on performed case studies in health informatics. The ontology explicates relevant constructs and presents a vocabulary for a decision support system, and emphasises the need to cover environmental and contextual variables as an integral part of decision support system development and evaluation methodologies. These results help the system developers to take the system’s context into account through the set of defined variables that are linked to the application domain. This implies that domain and application characteristics, as well as knowledge creation and sharing aspects, are considered at every phase of development. With these extensions the focus in decision support systems development shifts from a task ontology towards a domain ontology. This extended ontology gives better support for development because from it follows that a more thorough problem analysis will be performed.

Evaluating the application of a decision support system in identifying adequate wastewater treatment for small communities. A case study: the Fluvia River Basin

2005 ◽  
Vol 51 (10) ◽  
pp. 179-186 ◽  
Author(s):  
J. Alemany ◽  
J. Comas ◽  
C. Turon ◽  
M.D. Balaguer ◽  
M. Poch ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
River Basins ◽  
Complex Problem ◽  
Adequate Treatment ◽  
Small Communities ◽  
Different Characteristics

The identification of adequate wastewater treatment for small communities is a complex problem since it demands a combination of data from different sources, such as aspects of the community and landscape, the receiving environment and the available wastewater treatment technologies. The Catalan Water Agency (Agència Catalana de l'Aigua) considered using an EDSS (Environmental Decision Support System) as a tool to help water managers select the most adequate treatment for the urban wastewater of nearly 3,500 small communities in Catalonia (Spain). From that moment, EDSS was applied to all the river basins in Catalonia. In this paper the authors present the results obtained for the 76 small communities located in one of these river basins: the Fluvia River Basin. The characteristics of the community used in the reasoning process of the EDSS, the list of selected wastewater treatment alternatives, the technical environmental justification for the selected treatments and the reasons for discarding, favouring or disadvantaging them are presented. Finally, some results for the Fluvia River Basin are compared with those obtained in other Catalan river basins with different characteristics in order to evaluate which are the significant features in identifying adequate wastewater treatments.

scholarly journals Environmental Decision Support Systems as a Service: Demonstration on CE-QUAL-W2 Model

2021 ◽  
Author(s):  
Yoav Bornstein ◽  
Ben Dayan ◽  
Scott Wells ◽  
Mashor Housh
Keyword(s):  
Water Quality ◽  
Cloud Computing ◽  
Decision Support ◽  
Decision Support System ◽  
Software Development ◽  
Decision Support Systems ◽  
Support System ◽  
Low Cost ◽  
Environmental Decision Support Systems ◽  
Environmental Decision

An Environmental Decision Support System (EDSS) can be used as an important tool for rehabilitation and preservation of ecosystems. Nonetheless, high assimilation costs (both money and time) are one of the main reasons that these tools are not widely adapted in practice. This work presents a low-cost paradigm of "EDSS as a Service", this paradigm is demonstrated for developing Water Quality EDSS as a Service that utilizes the well-known CE-QUAL-W2 model as a kernel for deriving optimized decisions. The paradigm is leveraging new open-source technologies in software development (e.g. Docker, Kubernetes, and Helm) with cloud computing in order to significantly reduce assimilation costs of the EDSS for organizations and researchers working on rehabilitation and preservation of water bodies.

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