Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment
As global water resources face growing threats from pollution and overuse, sustainable treatment solutions are urgently needed. Among these, adsorption stands out as an effective and versatile method for removing a broad spectrum of contaminants from water and wastewater. However, optimizing adsorpt...
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| Հիմնական հեղինակներ: | , |
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| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
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IWA Publishing
2026
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| Առցանց հասանելիություն: | https://library.oapen.org/handle/20.500.12657/111758 |
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Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1869531405896122368 |
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| author | Yadav, Anshul Labhasetwar, Pawan |
| author_browse | Labhasetwar, Pawan Yadav, Anshul |
| author_facet | Yadav, Anshul Labhasetwar, Pawan |
| author_sort | Yadav, Anshul |
| collection | Directory of Open Access Books |
| description | As global water resources face growing threats from pollution and overuse, sustainable treatment solutions are urgently needed. Among these, adsorption stands out as an effective and versatile method for removing a broad spectrum of contaminants from water and wastewater. However, optimizing adsorption for large-scale applications is a complex challenge that demands both a solid understanding of adsorption science and the use of advanced computational tools. Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment addresses this challenge by providing a comprehensive guide integrating core adsorption principles with cutting-edge computational approaches for enhancing adsorption efficiency and system design. Structured to lead readers from fundamental concepts to advanced applications, the book includes: an overview of water pollution and treatment; a detailed exploration of adsorption principles and models; an introduction to general computational strategies for modelling and optimization, leading on to density functional theory, molecular dynamics, Monte Carlo simulations and QSAR techniques; AI and machine learning in adsorption modelling; computational fluid dynamics and system-level optimization. Together, these topics provide researchers, engineers, and practitioners with the tools needed to model, simulate, and optimize adsorption processes for more efficient and sustainable water treatment. |
| format | Online |
| id | doab-20.500.12854ir-173651 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | IWA Publishing |
| publisherStr | IWA Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1736512026-06-12T05:47:36Z Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment Yadav, Anshul Labhasetwar, Pawan Wastewater treatment Computational techniques Computational tools Adsorption Pollution Contaminants Water pollution Water treatment Density functional theory Molecular dynamics Monte Carlo simulation QSAR technique AI Machine learning Computational fluid dynamics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQS Sanitary and municipal engineering::TQSW Water supply and treatment As global water resources face growing threats from pollution and overuse, sustainable treatment solutions are urgently needed. Among these, adsorption stands out as an effective and versatile method for removing a broad spectrum of contaminants from water and wastewater. However, optimizing adsorption for large-scale applications is a complex challenge that demands both a solid understanding of adsorption science and the use of advanced computational tools. Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment addresses this challenge by providing a comprehensive guide integrating core adsorption principles with cutting-edge computational approaches for enhancing adsorption efficiency and system design. Structured to lead readers from fundamental concepts to advanced applications, the book includes: an overview of water pollution and treatment; a detailed exploration of adsorption principles and models; an introduction to general computational strategies for modelling and optimization, leading on to density functional theory, molecular dynamics, Monte Carlo simulations and QSAR techniques; AI and machine learning in adsorption modelling; computational fluid dynamics and system-level optimization. Together, these topics provide researchers, engineers, and practitioners with the tools needed to model, simulate, and optimize adsorption processes for more efficient and sustainable water treatment. 2026-03-19T13:29:04Z 2026-03-19T13:29:04Z 2026-03-17T08:55:37Z 2026 book https://library.oapen.org/handle/20.500.12657/111758 9781789063943 9781789063936 9781789063950 https://directory.doabooks.org/handle/20.500.12854/173651 eng open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/111758/1/9781789063943.pdf https://library.oapen.org/bitstream/20.500.12657/111758/1/9781789063943.pdf https://library.oapen.org/bitstream/20.500.12657/111758/1/9781789063943.pdf https://library.oapen.org/bitstream/20.500.12657/111758/1/9781789063943.pdf IWA Publishing 10.2166/9781789063943 10.2166/9781789063943 7dd292fc-1014-4643-9aba-e231c3487c35 9781789063943 9781789063936 9781789063950 Knowledge Unlatched (KU) KU Select 2025 Knowledge Unlatched (KU) KU Select 2025 282 London, UK open access |
| spellingShingle | Wastewater treatment Computational techniques Computational tools Adsorption Pollution Contaminants Water pollution Water treatment Density functional theory Molecular dynamics Monte Carlo simulation QSAR technique AI Machine learning Computational fluid dynamics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQS Sanitary and municipal engineering::TQSW Water supply and treatment Yadav, Anshul Labhasetwar, Pawan Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title | Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title_full | Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title_fullStr | Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title_full_unstemmed | Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title_short | Computational Techniques for Modelling and Simulating Adsorption Processes for (Waste)Water Treatment |
| title_sort | computational techniques for modelling and simulating adsorption processes for waste water treatment |
| topic | Wastewater treatment Computational techniques Computational tools Adsorption Pollution Contaminants Water pollution Water treatment Density functional theory Molecular dynamics Monte Carlo simulation QSAR technique AI Machine learning Computational fluid dynamics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQS Sanitary and municipal engineering::TQSW Water supply and treatment |
| topic_facet | Wastewater treatment Computational techniques Computational tools Adsorption Pollution Contaminants Water pollution Water treatment Density functional theory Molecular dynamics Monte Carlo simulation QSAR technique AI Machine learning Computational fluid dynamics thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQS Sanitary and municipal engineering::TQSW Water supply and treatment |
| url | https://library.oapen.org/handle/20.500.12657/111758 |
| work_keys_str_mv | AT yadavanshul computationaltechniquesformodellingandsimulatingadsorptionprocessesforwastewatertreatment AT labhasetwarpawan computationaltechniquesformodellingandsimulatingadsorptionprocessesforwastewatertreatment |