Application of a Multi-Criteria Decision Support Tool in Assessing the Feasibility of Implementing Treated Wastewater Reuse

Author(s):  
J.R. Adewumi ◽  
A.A. Ilemobade ◽  
J.E. van Zyl

Wastewater reuse is increasingly becoming an important component of water resources management in many countries. Planning of a sustainable wastewater reuse project involves multi-criteria that incorporate technical, economic, environmental and social attributes. These attributes of sustainability is the framework upon which the decision support tool presented in this paper is developed. The developed tool employs a user friendly environment that guides the decision makers in assessing the feasibility of implementing wastewater reuse. The input data into the tool are easily obtainable while the output is comprehensive enough for a feasibility assessment of treated wastewater reuse. The output is expressed in terms of effluent quality, costs, quantitative treatment scores and perception evaluation. Testing of the developed multi-criteria decision support tool using Parow wastewater treatment works in Cape Town showed the tool to be versatile and capable of providing a good assessment of both qualitative and quantitative criteria in the selection of treatment trains to meet various non-potable reuses. The perception module provided a quick assessment of potential user’s concerns on reuse and service providers’ capacity.

One Health ◽  
2021 ◽  
pp. 100266
Author(s):  
Rob Dewar ◽  
Christine Gavin ◽  
Catherine McCarthy ◽  
Rachel A. Taylor ◽  
Charlotte Cook ◽  
...  

2007 ◽  
Vol 4 (2) ◽  
pp. 747-775 ◽  
Author(s):  
P. Cau ◽  
C. Paniconi

Abstract. Quantifying the impact of land use on water supply and quality is a primary focus of environmental management. In this work we apply a semidistributed hydrological model (SWAT) to predict the impact of different land management practices on water and agricultural chemical yield for a study site situated in the Arborea region of central Sardinia, Italy. The physical processes associated with water movement, crop growth, and nutrient cycling are directly modeled by SWAT. The model simulations are used to identify indicators that reflect critical processes related to the integrity and sustainability of the ecosystem. Specifically we focus on stream quality and quantity indicators associated with anthropogenic and natural sources of pollution. A multicriteria decision support system is then used to develop the analysis matrix where water quality and quantity indicators for the rivers, lagoons, and soil are combined with socio-economic variables. The DSS is used to assess four options involving alternative watersheds designated for intensive agriculture and dairy farming and the use or not of treated wastewater for irrigation.


10.1068/b1281 ◽  
2002 ◽  
Vol 29 (4) ◽  
pp. 553-569 ◽  
Author(s):  
Alexandra Ribeiro ◽  
António Pais Antunes

The installation and operation of public facilities, such as schools or hospitals, involve important amounts of public spending, and therefore need to be carefully planned. Research efforts made since the early 1960s led to the development of a rich collection of optimization models and solution methods for public facility planning problems. It must be recognized, however, that the practical impact of the efforts made up to now is rather weak. This paper presents an interactive, user-friendly decision-support tool for public facility planning where the capabilities of geographic information systems and advanced optimization methods are put together. We hope that it will contribute to bridge the gap between research and practice that characterizes the way public facility planning is made at present. The application of the decision-support tool is illustrated for a real-world setting.


10.29007/k9xx ◽  
2018 ◽  
Author(s):  
Seyed M. K. Sadr ◽  
Matthew Johns ◽  
Fayyaz Memon ◽  
Mark Morley ◽  
Dragan Savic

The selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimizer (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimization and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling stakeholders to make more informed decisions. The tool was applied to three different scenarios to test its functionalities and assess treatment technologies potential for different contexts. Initial results suggest that it is possible to automatically generate feasible distinct treatment strategies for user-defined contexts/constraints.


Author(s):  
Jeff Patrick ◽  
Larry A. Stauffer

Abstract We present a decision-support tool that will assist engineers with the design of thermoplastic parts for improved dimensional stability. The tool addresses performance issues that cause significant deformation of the plastic part during its life cycle and thus changes in critical dimensions. The degradation of dimensional stability has a direct influence on the quality of the part and its cost is estimated by applying the Taguchi Loss Function. In this way, the quality cost can be combined with the manufactured cost of the part for a total part cost. The tool helps estimate these manufacturing and quality costs early in the product-development process where changes can be made relatively easily. In this paper we present the design analysis process of the tool, a description of the software, and a case study of its use in an industrial application.


2009 ◽  
Vol 17 (16) ◽  
pp. 1504-1511 ◽  
Author(s):  
M.D. Gómez-López ◽  
J. Bayo ◽  
M.S. García-Cascales ◽  
J.M. Angosto

Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course.


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