scholarly journals Development and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in India

10.29007/k9xx ◽  
2018 ◽  
Author(s):  
Seyed M. K. Sadr ◽  
Matthew Johns ◽  
Fayyaz Memon ◽  
Mark Morley ◽  
Dragan Savic
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
Contributing Factors ◽  
Support Tool ◽  
Treatment Technologies ◽  
User Friendly

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.

scholarly journals A Shoreline Response Program (SRP) Decision Support Tool based on the Geographic Variability in Attenuation and Weathering of Stranded Oil.

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ed Owens ◽  
Elliott Taylor ◽  
Chunjiang An ◽  
Zhi Chen ◽  
George Danner ◽  
...  
Keyword(s):  
Decision Support ◽  
Web Application ◽  
Treatment Options ◽  
Critical Role ◽  
Treatment Strategies ◽  
Decision Support Tool ◽  
Data Bases ◽  
Support Tool ◽  
Fine Grained ◽  
Wide Range

ABSTRACT #1141234 The coastal waters of Canada embrace a wide range of physical environments and ecosystems from the warm, sediment-rich waters of the Bay of Fundy to the nutrient-limited cold waters of the high Arctic. This range of biophysical characteristics impacts natural attenuation and weathering processes for oil stranded on shorelines. This study was conducted to: 1) identify and quantify the primary regional parameters that control shoreline oil translocation (removal) processes and pathways and 2) define the effectiveness and environmental consequences of current and potential oiled shoreline treatment strategies and tactics. A specific knowledge gap, here and elsewhere in the world, has been in understanding how the distribution and character of fine-grained sediments affect stranded oil attenuation. Fine-grained sediments (<1mm) can play a critical role in natural or induced (that is, shoreline treatment) oil dispersal. Shoreline sediment samples were collected and analyzed from representative locations on Arctic, Atlantic, and Pacific Ocean beaches to provide a broad geographic characterization of mineral fines at the regional level. This knowledge is the basis for an “Oiled Shoreline Response Program (SRP) Decision Support Tool” to aid spill scientists, students, environmental resource managers, spill responders and the public in understanding the response methods and the ramifications and consequences of their shoreline treatment options without the need to digest technical papers, large reports, or data bases. This MPRI SRP Decision Support Tool is intended to be a dynamic, interactive, multi-layered, geographically and seasonally-based model for shoreline oil spill response decision analyses. A goal of this interactive model is to move away from the traditional static format of learning from explanations in text reports and publications to an interactive tool that encourages its users to explore and fully understand the significance of the different environmental factors outlined in publications and data bases. Recent advances in web technology make this possible. The development of user interface platforms such as React, libraries such as D3, and notebook forms like Observable has created a palette of technologies that together make web application patterns such as Documodels a much more streamlined development process. The power of this medium is to convey a complex subject and to enable a user to grasp keen insights and so understand the consequences of intervention decisions.

scholarly journals A user-friendly decision support tool to assist one-health risk assessors

One Health ◽  
2021 ◽  
pp. 100266
Author(s):  
Rob Dewar ◽  
Christine Gavin ◽  
Catherine McCarthy ◽  
Rachel A. Taylor ◽  
Charlotte Cook ◽  
...  
Keyword(s):  
Decision Support ◽  
Health Risk ◽  
One Health ◽  
Decision Support Tool ◽  
Support Tool ◽  
User Friendly

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

2013 ◽  
Vol 5 (1) ◽  
pp. 1-23 ◽  
Author(s):  
J.R. Adewumi ◽  
A.A. Ilemobade ◽  
J.E. van Zyl
Keyword(s):  
Decision Support ◽  
Service Providers ◽  
Wastewater Reuse ◽  
Decision Support Tool ◽  
Treated Wastewater ◽  
Support Tool ◽  
Feasibility Assessment ◽  
Quality Costs ◽  
Treated Wastewater Reuse ◽  
User Friendly

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.

Life cycle assessment as a decision support tool in wastewater treatment plant design with renewable energy utilization

2017 ◽  
Vol 93 ◽  
pp. 229-238 ◽  
Author(s):  
Muratcan Başkurt ◽  
Ilgın Kocababuç ◽  
Esra Binici ◽  
Ebru Dulekgurgen ◽  
Özlem Karahan Özgün ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Life Cycle Assessment ◽  
Renewable Energy ◽  
Life Cycle ◽  
Decision Support ◽  
Treatment Plant ◽  
Decision Support Tool ◽  
Energy Utilization ◽  
Plant Design ◽  
Support Tool

scholarly journals Optimising wastewater treatment solutions for the removal of contaminants of emerging concern (CECs): a case study for application in India

2019 ◽  
Vol 22 (1) ◽  
pp. 93-110 ◽  
Author(s):  
Zara Visanji ◽  
Seyed M. K. Sadr ◽  
Matthew B. Johns ◽  
Dragan Savic ◽  
Fayyaz A. Memon
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Tamil Nadu ◽  
Emerging Contaminants ◽  
Treatment Options ◽  
Individual Treatment ◽  
Contaminants Of Emerging Concern ◽  
Treatment Unit ◽  
Indian Water ◽  
Support Tool

Abstract The aim of this study was to produce optimal wastewater treatment solutions to calculate the removal of different contaminants of emerging concern (CECs) found in developing countries. A new methodology was developed for a decision support tool (WaStewater Decision support OptiMiser, WiSDOM), which focuses on producing treatment solutions suited to treating water for reuse to Indian Water Quality Standards. WiSDOM-CEC analyses the removal of CECs through different treatment solutions and was also used to evaluate the performance of each treatment train solution in terms of the removal of conventional pollutants using multi-objective optimisation and multi-criteria decision analysis. Information was collected on different CECs across different regions of India, and the removal of 18 different CECs through 42 wastewater treatment unit processes for five different regions of India was analysed. Comparisons between similar categories of CECs, such as non-steroidal anti-inflammatory, showed that emerging contaminants all react differently with individual treatment options. For example, the removal of ibuprofen (IBP) and naproxen (NPX) varied from >80% and 0%, respectively, for a solution in Karnataka involving sedimentation, submerged aerated filter, ultrafiltration and nanofiltration. In Tamil Nadu, results ranged from 36.8% to 72% for diclofenac, 10.7% to 66.5% for IBP, and 0% for NPX.

scholarly journals corRECTreatment: A web-based decision support tool for rectal cancer treatment that uses the analytic hierarchy process and decision tree

2015 ◽  
Vol 06 (01) ◽  
pp. 56-74 ◽  
Author(s):  
O. Dicle ◽  
S. Sökmen ◽  
C.C. Çelikoğlu ◽  
A. Suner ◽  
G. Karakülah
Keyword(s):  
Rectal Cancer ◽  
Decision Support ◽  
Cancer Treatment ◽  
Treatment Options ◽  
Decision Support Tool ◽  
Analytic Hierarchy ◽  
Web Based ◽  
Support Tool ◽  
Rectal Cancer Treatment ◽  
The Analytic Hierarchy Process

SummaryBackground: The selection of appropriate rectal cancer treatment is a complex multi-criteria decision making process, in which clinical decision support systems might be used to assist and enrich physicians’ decision making.Objective: The objective of the study was to develop a web-based clinical decision support tool for physicians in the selection of potentially beneficial treatment options for patients with rectal cancer.Methods: The updated decision model contained 8 and 10 criteria in the first and second steps respectively. The decision support model, developed in our previous study by combining the Analytic Hierarchy Process (AHP) method which determines the priority of criteria and decision tree that formed using these priorities, was updated and applied to 388 patients data collected retrospectively. Later, a web-based decision support tool named corRECTreatment was developed. The compatibility of the treatment recommendations by the expert opinion and the decision support tool was examined for its consistency. Two surgeons were requested to recommend a treatment and an overall survival value for the treatment among 20 different cases that we selected and turned into a scenario among the most common and rare treatment options in the patient data set.Results: In the AHP analyses of the criteria, it was found that the matrices, generated for both decision steps, were consistent (consistency ratio<0.1). Depending on the decisions of experts, the consistency value for the most frequent cases was found to be 80% for the first decision step and 100% for the second decision step. Similarly, for rare cases consistency was 50% for the first decision step and 80% for the second decision step.Conclusions: The decision model and corRECTreatment, developed by applying these on real patient data, are expected to provide potential users with decision support in rectal cancer treatment processes and facilitate them in making projections about treatment options.Citation: Suner A, Karakülah G, Dicle O, Sökmen S, Çelikoglu CC. corRECTreatment: A web-based decision support tool for rectal cancer treatment that uses the analytic hierarchy process and decision tree. Appl Clin Inf 2015; 6: 56–74http://dx.doi.org/10.4338/ACI-2014-10-RA-0087

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