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Water
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Green Materials for Wastewater Treatment and Resource Recovery
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Green Materials for Wastewater Treatment and Resource Recovery

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 2093

Special Issue Editors

Dr. Chi Zhang

E-Mail Website
Guest Editor
College of Mechanics and Materials, Hohai University, Nanjing, China
Interests: environmental functional materials; photocatalysis; water disinfection; anoxic water remediation; microbial response
Dr. Jun Li

E-Mail Website
Guest Editor
College of Water Resource & Hydropower, Sichuan University, Chengdu, China
Interests: wastewater treatment; advanced oxidation processes; persulfate activation; organic pollutants; catalyst development
Dr. Wei Xiong

E-Mail Website
Guest Editor
School of Hydraulic and Environmental Engineering, Changsha University of Science and Technology, Changsha, China
Interests: unconventional water resources; water management; environmental modeling; life cycle assessment; water ecosystem impact

Special Issue Information

Dear Colleagues,

Wastewater is extensively generated on a daily basis from domestic and industrial sources across the globe, posing several challenges, including the water crisis and environmental deterioration. Thus, development of sustainable wastewater treatment/disinfection methods is sought after as a plausible solution to this problem. On the other hand, wastewater contains many resources such as organic matter, phosphorus, nitrogen, heavy metals, thermal energy, etc., and thus, the reuse of wastewater resources is becoming more and more attractive. The emergence of various environmental functional materials has bridged the gap between the demand for and supply of not only clean waters but also resources from wastewater, providing promising alternatives for wastewater treatment and resource recovery. However, advanced green materials with unique physicochemical properties, good economic benefits, stable pollution removals, high resource recoveries, and environmental friendliness are still highly demanded. This Special Issue focuses on the design, development, and application of green materials for wastewater treatment and resource recovery. The green materials can be nanoscale tailored materials, metal-free materials, metal/metal oxide materials, metal-organic frameworks, etc. In this frame, this Special Issue will give particular attention to studies on fundamentally sound novel green materials related to wastewater treatment and resource recovery with a great prospect for scaling up production and application.

Dr. Chi Zhang
Dr. Jun Li
Dr. Wei Xiong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • green materials
  • wastewater treatment
  • water resource recovery
  • water quality improvement
  • water pollution control
  • sustainable water remediation
  • material and microbial mechanism

Published Papers (1 paper)

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Research

12 pages, 3596 KiB  
Article
Orthogonal Experiments and Neural Networks Analysis of Concrete Performance
by Feipeng Liu, Jing Xu, Shucheng Tan, Aimin Gong and Huimei Li
Water 2022, 14(16), 2520; https://doi.org/10.3390/w14162520 - 16 Aug 2022
Cited by 3 | Viewed by 1548
Abstract
In order to explore the possibility that adding an appropriate amount of alkaline activator into fly ash cement may improve the early activity of fly ash and ensure the strength performance of concrete, this study analyzed the influence of 0–30% fly ash substitute [...] Read more.
In order to explore the possibility that adding an appropriate amount of alkaline activator into fly ash cement may improve the early activity of fly ash and ensure the strength performance of concrete, this study analyzed the influence of 0–30% fly ash substitute on the early and late (3–28 days) compressive strength of concrete by using three methods, namely, the concrete laboratory test, orthogonal test, and neural network, under the condition of 0.5 water binder. We obtained the following results: (1) The strength of the concrete mixed with fly ash at the same alkali and the same age decreases with the increase of fly ash content and decreases with the decrease of age; the strength is the highest when the alkali content is 6% or 5%. (2) The higher the content of fly ash, the lower the strength of the mixture, and the greater the decrease of the early strength of the mixture, while the optimum dosage of NaOH is the same. (3) Orthogonal experimental design can be effectively used to analyze the primary and secondary degree of each factor and the best combination of them (cement, fly ash, NaOH, standard, water, etc.). (4) High correlations between the compressive strength and the component composition of concrete can be obtained using the prediction abilities of the neural networks. The above test results show that on the basis of the concrete compressive strength test, the comprehensive application of the orthogonal test and the neural network method can be used to analyze the relationship between strength and the variables and to test the influence of the variables and their interaction on concrete strength, and the results are accurate and reliable. Full article
(This article belongs to the Special Issue Green Materials for Wastewater Treatment and Resource Recovery)
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