scholarly journals Towards a GIS-Based Decision Support System on the Amazon Cloud for the Modelling of Domestic Wastewater Treatment Solutions in Wexford, Ireland

2013 ◽  
Author(s):  
N. Qazi ◽  
D. Smyth ◽  
T. McCarthy
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Domestic Wastewater ◽  
Domestic Wastewater Treatment

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 Suitability of the Decentralised Wastewater Treatment Effluent for Agricultural Use: Decision Support System Approach

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2454
Author(s):  
William Musazura ◽  
Alfred O. Odindo
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
South African ◽  
Support System ◽  
Low Income ◽  
Nutrient Loading ◽  
Crop Yields ◽  
Treated Wastewater ◽  
Agricultural Use

The decentralised wastewater treatment system (DEWATS) is an onsite sanitation technology that can be used in areas away from municipal sewerage networks. The discharge of effluent emanating from DEWATS into water bodies may cause pollution. Agricultural use of the effluent may improve crop yields and quality thereby contributing to food security in low-income communities. There are drawbacks to the agricultural use of treated wastewater. Therefore, the study assessed the crop, environmental and health risks when irrigating with anaerobic filter (AF) effluent using the Decision Support System (DSS) of the South African Water Quality Guideline model, in four South African agroecological regions, three soil types, two irrigation systems and three different crops. The model was parameterised using AF effluent characterisation data and simulated for 45 years. The model predicted that there are no negative impacts for using AF effluent on soil quality parameters (root zone salinity, soil permeability and oxidisable carbon loading), leaf scorching and irrigation equipment. The problems were reported for nutrient loading (N and P) in maize and microbial contamination in cabbage and lettuce. It was recommended that the effluent should be diluted when used for maize production and advanced treatment should be explored to allow unrestricted agricultural use.

A KNOWLEDGE-BASED DECISION SUPPORT SYSTEM FOR SELECTING SMALL-SCALE WASTEWATER TREATMENT PROCESSES

1994 ◽  
Vol 30 (2) ◽  
pp. 175-184 ◽  
Author(s):  
T. Okubo ◽  
K. Kubo ◽  
M. Hosomi ◽  
A. Murakami
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Treatment Plant ◽  
Small Scale ◽  
Effluent Water ◽  
User Input ◽  
Treatment Processes ◽  
Ranking Score

A PC-based decision support system was developed for selecting the most appropriate small-scale wastewater treatment plant process for a given set of conditions (e.g., population and available budget for facility construction and operation and maintenance (O&M)). The system consists of: (i) a numerical database for considering treatment performance and costs, (ii) a non-numerical database (knowledge-base) for considering intangible, empirical information (e.g., O&M difficulty), (iii) an analysis module for determining effluent water qualities and costs according to the basic user-input data of an objective site, and (iv) a dialog module for controlling user input and the subsequent system output. The system provides a display listing the effluent water qualities (e.g., BOD, total nitrogen, and total phosphorus), construction and O&M costs, and a ranking score of O&M difficulty and other non-numerical parameters of each treatment processes. The user is able to sort the resultant list according to parameter values or ranking score, and can prioritize several treatment processes using the analytic hierarchy process (AHP) method. In addition, the system is capable of evaluating integrated wastewater treatment processes which combine natural purification processes such as streams or wetlands.

scholarly journals Fuzzy - Based Multi - Criteria Decision Support System for Maintenance Management of Wastewater Treatment Plants

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Reem Tareq Al-Attar ◽  
Mahmoud Saleh AL-Khafaji ◽  
Faris H. AL-Ani
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Failure Mode ◽  
Support System ◽  
Failure Modes ◽  
Wastewater Treatment Plants ◽  
Effect Analysis ◽  
Electrical Failure ◽  
Maintenance Activities

Abstract Wastewater treatment plants (WWTPs) contain a large number of components, and these components in turn require a large number of maintenance activities and high costs. In this paper, a Fuzzy-based Multi-Criteria Decision Support System (FBMCDS) model was designed based on the failure mode and effect analysis FM-EA and applied to the Rustumiya Project (RP) in Iraq. Information of the RP’s components, failure modes, applied maintenance activities and costs were collected from the documented data, site visit and face-to-face interviews as well as opinions of 44 experts. Through applying the fuzzy logic to analysis the failure modes and effects, the risk priority index (FMRPI) and total intensity (FMTI) of each failure mode ware computed. Thus, maintenance priorities and weights of the RP’s failure modes were specified. In addition, the best maintenance plan was specified based on the FMRPI-FMTI diagram that shows the importance and the type of maintenance required for each failure mode. Failure of the submersible pump has the first rank in terms of priority, while the last priority was occupied by the building failure mode, where the mechanical failure modes are of the highest importance, followed by the electrical failure modes. Finally, the construction failure modes are ranked last due to the small probability of failure. The designed model is considered an efficient tool due to the similarity of the results with the reality of the situation and the ease of reading and displaying the results. In addition, this model can be applied to other projects such as water treatment plants and irrigation projects.

A VALIDATION OF A RE-EQUILIBRIUM DECISION SUPPORT SYSTEM FOR PPP CONTRACTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Amira Shalaby ◽  
Amr Hassanein ◽  
Atter Hannoura
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Fixed Rate ◽  
Return On Equity ◽  
The Public ◽  
Lump Sum

A re-equilibrium model was developed which ensures that the rights of the Public Private Partnership (PPP) project stakeholders are preserved during renegotiation and minimizes the chances of disputes. The model develops the typical renegotiation scenarios which include: increasing the service charges, increasing the concession period, or paying a lump sum amount to the party of concern in order to maintain a fixed rate of return and keep the return on equity constant. Moreover, a decision support system was developed with the aid of Microsoft Excel 2013, Visual Basic for Applications (VBA) programming language, and the Precision Tree 5.5 for Excel addin, in order to facilitate the process of selecting the optimum scenario which maximizes the satisfaction of both parties (the private sector and the public sector). In this paper, data is obtained from a case study of a wastewater treatment plant in Egypt, and applied to the proposed model. The results obtained from the model are close to the ones obtained from the Independent Financial Expert (IFE) of the wastewater treatment plant project. This verifies and validates the objectives of the model.

An intelligent visualisation and decision support system for decentralised wastewater treatment plants

2007 ◽  
Vol 56 (5) ◽  
pp. 183-191 ◽  
Author(s):  
J. Wölle ◽  
H. Steinmetz ◽  
J. Hansen ◽  
K. Einsfeld ◽  
A. Ebert
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Wastewater Treatment Plants ◽  
Case Based Reasoning ◽  
Recycled Water ◽  
Process Technology ◽  
Reasoning System ◽  
Intelligent Information

Current sanitation concepts of decentralised wastewater treatment and reuse raise the issue of monitoring and maintenance of such systems. To guarantee high quality of the recycled water, systems with high requirements concerning process technology are essential. With increasing numbers of decentralised treatment systems spread over far distances it will become more and more impossible and uneconomic to have expert personnel on site. Therefore, new visualisation and intelligent information systems are necessary. The paper describes the structure and 3D-demonstrations as a base for information visualisation. Up-to-date visualisation techniques, facilitating the cognition of context-adapted information, make it possible to maximise the amount of information presented to the user without overwhelming her or him. Concerning diagnosis and decision support systems in the domain of wastewater treatment, several interesting approaches are presented, estimating their applicability for decentralised wastewater treatment systems. The intelligent decision support system presented here consists of a combined ontology- and case-based reasoning system in addition to a process monitoring system. It is responsible for plausibility checks, error diagnosis, solution proposals, and optimisation suggestions.

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