Zhiguo Yuan
University of Queensland
698 Papers
1.8K Citations
Zhiguo Yuan is an academic researcher from University of Queensland. The author has contributed to research in topics: Chemistry & Wastewater. The author has an hindex of 93, co-authored 633 publications. Previous affiliations of Zhiguo Yuan include Tsinghua University & University of Cagliari.
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Papers
Self-sustained nitrite accumulation at low pH greatly enhances volatile solids destruction and nitrogen removal in aerobic sludge digestion.
TL;DR: Free nitrous acid formed from nitrite at low pH, rather than nitrite itself, was identified to be the cause of improved digestion performance, and no additional ongoing costs are incurred.
Feasibility of methane bioconversion to methanol by acid-tolerant ammonia-oxidizing bacteria.
TL;DR: In this article, the feasibility of producing methanol from methane in the CO2-acidified environment was examined using an enriched culture dominated by acid-tolerant ammonia-oxidizing bacteria (AOB) "Candidatus Nitrosoglobus".
Bioleaching of toxic metals from anaerobically digested sludge without external chemical addition
TL;DR: In this paper, an acid-tolerant microbial consortium, dominated by ammonia-oxidizing bacteria from the genus Candidatus Nitrosoglobus (i.e. relative abundance of 72.5 ± 2.3% based on 16S rRNA gene sequencing), was enriched after 120 days incubation in a laboratory sequencing batch reactor.
3D printed porous sulfonated polyetheretherketone scaffold for cartilage repair: Potential and limitation
TL;DR: Wang et al. as discussed by the authors constructed a porous polyetheretherketone (PEEK) scaffold via 3D printing, surface-engineered with concentrated sulfuric acid for 15 s, 30 s, and 60 s, respectively.
Global resilience analysis of combined sewer systems under continuous hydrologic simulation.
Abstract: Managing and reducing combined sewer overflow (CSO) discharges is crucial for enhancing the resilience of combined sewer systems (CSS). However, the absence of a standardised resilience analysis approach poses challenges in developing effective discharge reduction strategies. To address this, our study presents a top-down method that expands the existing Global Resilience Analysis to quantify resilience performance in CSS. This approach establishes a link between threats (e.g., rainfall) and impacts (e.g., CSOs) through continuous and long-term simulation, accommodating various rainfall patterns, including extreme events. We assess CSO discharge impacts from a resilience perspective by introducing eight new metrics. We conducted a case study in Fehraltorf, Switzerland, analysing the performance of three green infrastructure (GI) types (bioretention cells, green roofs, and permeable pavements) over 38 years. The results demonstrated that GI enhanced all resilience indices, with variations observed in individual CSO performance metrics and their system locations. Notably, in Fehraltorf, green roofs emerged as the most effective GI type for improving resilience, while the downstream outfall displayed the highest resilience enhancement. Overall, our proposed method enables a shift from event-based to continuous simulation analysis, providing a standardised approach for resilience assessment. This approach informs the development of strategies for CSO discharge reduction and the enhancement of CSS resilience.