Intelligent Tools for Wastewater Treatment Design

1998 ◽  
Vol 13 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Srinivas Krovvidy
Designs ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 27 ◽  
Author(s):  
Aliashim Albani ◽  
Mohd Zamri Ibrahim

This paper presents the concept of check and balance approach in teachıng, learning and assessment processes with the development of a graphical interface tool to solve an advanced wastewater treatment design problem. The developed graphical interface improves the quality of teaching, learning, and the assessment of both, understanding the calculation approaches, as well as understanding the concepts. The tool acts as a calculator or a simulator of a unit converter, population equivalent, designing sewerage systems and selected unit processes of advanced wastewater treatment. A close-ended survey assessment was conducted with a total of 49 respondents who were the registered students for the subject of advanced wastewater treatment. About 79% of respondents agreed that it was hard to score a high mark in the advanced wastewater treatment exam. However, 100% of respondents agreed that the tool could help them to accelerate their understanding of the subject topic. All things considered, the findings of this study show that the developed tool is a potential tool that can aid in the teaching, learning, and assessment processes of any difficult subject that is taught in higher-learning institutions.


2018 ◽  
Vol 51 (6) ◽  
pp. 065502 ◽  
Author(s):  
Essam S Elsahwi ◽  
Francis P Dawson ◽  
Harry E Ruda

2021 ◽  

Uncertainty in Wastewater Treatment Design and Operation aims to facilitate the transition of the wastewater profession to the probabilistic use of simulators with the associated benefits of being better able to take advantage of opportunities and manage risk. There is a paradigm shift taking place in the design and operation of treatment plants in the water industry. The market is currently in transition to use modelling and simulation while still using conventional heuristic guidelines (safety factors). Key reasons for transition include: wastewater treatment simulation software advancements; stricter effluent requirements that cannot be designed for using traditional approaches, and increased pressure for more efficient designs (including energy efficiency, greenhouse gas emission control). There is increasing consensus among wastewater professionals that the performance of plants and the predictive power of their models (degree of uncertainty) is a critical component of plant design and operation. However, models and simulators used by designers and operators do not incorporate methods for the evaluation of uncertainty associated with each design. Thus, engineers often combine safety factors with simulation results in an arbitrary way based on designer ‘experience’. Furthermore, there is not an accepted methodology (outside modelling) that translates uncertainty to assumed opportunity or risk and how it is distributed among consultants/contractors and owners. Uncertainty in Wastewater Treatment Design and Operation documents how uncertainty, opportunity and risk are currently handled in the wastewater treatment practice by consultants, utilities and regulators. The book provides a useful set of terms and definitions relating to uncertainty and promotes an understanding of the issues and terms involved. It identifies the sources of uncertainty in different project phases and presents a critical review of the available methods. Real-world examples are selected to illustrate where and when sources of uncertainty are introduced and how models are implemented and used in design projects and in operational optimisation. Uncertainty in Wastewater Treatment Design and Operation defines the developments required to provide improved procedures and tools to implement uncertainty and risk evaluations in projects. It is a vital reference for utilities, regulators, consultants, and trained management dealing with certainty, opportunity and risk in wastewater treatment. ISBN: 9781780401027 (Paperback) ISBN: 9781780401034 (eBook) ISBN: 9781789062601 (ePub)


2015 ◽  
Vol 175 ◽  
pp. 594-601 ◽  
Author(s):  
Haiming Wu ◽  
Jian Zhang ◽  
Huu Hao Ngo ◽  
Wenshan Guo ◽  
Zhen Hu ◽  
...  

2021 ◽  
pp. 127298
Author(s):  
Steve Harris ◽  
George Tsalidis ◽  
Joan Berzosa Corbera ◽  
Jose Jorge Espi Gallart ◽  
Frederik Tegstedt

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