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Special Issue Editors

Prof. Dr. Dezhao Liu

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Guest Editor

Institute of Agricultural Bio-Environmental Engineering, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou‎, China
Interests: odour emission/odorants optimal treatment; mitigation and odour evaluation; air quality and greenhouse gases control and mitigation; livestock and aquaculture wastewater treatment and waste management; resource recovery
Special Issues, Collections and Topics in MDPI journals

Dr. Xiaorong Dai

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Guest Editor

Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
Interests: agricultural environment problems associated with animal feeding operations (CAFOs); air quality monitoring and air pollution mitigation technologies; animal housing environment control and animal welfare; animal waste management and circular utilization; chemical and biological waste treatment technologies

Special Issue Information

Dear Colleagues,

There are various physico-chemical and biological approaches available for the treatment of gaseous and wastewater pollutants from agriculture systems, such as in livestock production and aquaculture systems. With the aim of achieving a sustainable, carbon-neutral and eco-friendly environment, emerging green and cost-effective approaches are urgently needed in terms of the control and mitigation, not only of air pollutants such as NH₃, odorous compounds, and GHGs, but also wastewater containing various pollutants, such as endocrine-disrupting chemicals, toxic metals, pesticides, dyes, petroleum hydrocarbons and phenolic compounds, not to mention nitrogen and phosphorus pollutants.

This Special Issue aims to collect high-quality research articles regarding novel and green technologies for emissions control and mitigation, as well as wastewater treatment in agriculture systems, together with its applications, benefits, and challenges towards a sustainable, carbon-neutral and eco-friendly environment for agriculture system. Both reviews and innovative research papers are welcome. Review papers should present comprehensive reference information and state-of-the-art techniques regarding the considered subjects. Papers selected for this Special Issue will be subjected to a rigorous peer review procedure, with the aim of a rapid and widespread dissemination of research results, developments, and applications.

Prof. Dr. Dezhao Liu
Dr. Xiaorong Dai
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. Sustainability 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 2400 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

agriculture system
sustainable/sustainability
green technology
carbon neutral
gas emissions
wastewater pollutants
resource recovery
emission control/reduction
odor/odorant mitigation
wastewater treatment
biological treatment
physical/chemical treatment
adsorption
photocatalysis/photocatalytic oxidation
advanced oxidation processes

Published Papers (2 papers)

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Research

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21 pages, 6052 KiB

Open AccessArticle

Research on Rural Wastewater Treatment Technology in Northwest China Based on Anaerobic Biofilm Coupled with Anaerobic Baffle Plate Reactor (ABR) Technology

by Laisheng Liu, Jue Wang, Jijun Gao, Qiwen Wang and Tianying Lao

Sustainability 2023, 15(11), 8957; https://doi.org/10.3390/su15118957 - 01 Jun 2023

Cited by 2 | Viewed by 1054

Abstract

The northwest of China has a shortage of water resources, and classic sewage treatment techniques have a high cost and produce waste nitrogen and phosphorus. In order to achieve inexpensive discharge standards, an anaerobic biofilm coupled with ABR technology was adopted as a treatment for normal rural wastewater in the arid and semi-arid vicinity of Northwest China to investigate its operational impact on the treatment of northwest China’s rural domestic wastewater. The results illustrated that the best pollutant elimination effect was reached under the conditions of a set temperature of 35 °C, with a set hydraulic retention time of 3 d and the application of a suspended ball filler as a hanging biofilm carrier. Therefore, the aggregated process can boost the purification capacity and offer a reference to solving the difficulty of sewage discharge in non-agricultural irrigation areas. Full article

(This article belongs to the Special Issue Emerging Green Technologies in Emissions Control and Wastewater Treatment in Agricultural System)

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Review

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28 pages, 12845 KiB

Open AccessReview

A Review on Applications of Artificial Intelligence in Wastewater Treatment

by Yi Wang, Yuhan Cheng, He Liu, Qing Guo, Chuanjun Dai, Min Zhao and Dezhao Liu

Sustainability 2023, 15(18), 13557; https://doi.org/10.3390/su151813557 - 11 Sep 2023

Cited by 2 | Viewed by 5572

Abstract

In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve practical problems, has attracted much attention and has been widely used in various areas. Owing to their strong learning and accurate prediction abilities, all sorts of AI models have also been applied in wastewater treatment (WWT) to optimize the process, predict the efficiency and evaluate the performance, so as to explore more cost-effective solutions to WWT. In this review, we summarize and analyze various AI models and their applications in WWT. Specifically, we briefly introduce the commonly used AI models and their purposes, advantages and disadvantages, and comprehensively review the inputs, outputs, objectives and major findings of particular AI applications in water quality monitoring, laboratory-scale research and process design. Although AI models have gained great success in WWT-related fields, there are some challenges and limitations that hinder the widespread applications of AI models in real WWT, such as low interpretability, poor model reproducibility and big data demand, as well as a lack of physical significance, mechanism explanation, academic transparency and fair comparison. To overcome these hurdles and successfully apply AI models in WWT, we make recommendations and discuss the future directions of AI applications. Full article

(This article belongs to the Special Issue Emerging Green Technologies in Emissions Control and Wastewater Treatment in Agricultural System)

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