Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jing Sun is active.

Publication


Featured researches published by Jing Sun.


Water Research | 2017

Free ammonia pre-treatment of secondary sludge significantly increases anaerobic methane production

Wei Wei; Xu Zhou; Dongbo Wang; Jing Sun; Qilin Wang

Energy recovery in the form of methane from sludge/wastewater is restricted by the poor and slow biodegradability of secondary sludge. An innovative pre-treatment technology using free ammonia (FA, i.e. NH3) was proposed in this study to increase anaerobic methane production. The solubilisation of secondary sludge was significantly increased after FA pre-treatment at up to 680xa0mg NH3-N/L for 1 day, under which the solubilisation (i.e. 0.4xa0mg SCOD/mg VS; SCOD: soluble chemical oxygen demand; VS: volatile solids) was >10 times higher than that without FA pre-treatment (i.e. 0.03xa0mg SCOD/mg VS). Biochemical methane potential assays showed that FA pre-treatment at above 250xa0mg NH3-N/L is effective in improving anaerobic methane production. The highest improvement in biochemical methane potential (B0) and hydrolysis rate (k) was achieved at FA concentrations of 420-680xa0mg NH3-N/L, and was determined as approximately 22% (from 160 to 195xa0L CH4/kg VS added) and 140% (from 0.22 to 0.53xa0d-1) compared to the secondary sludge without pre-treatment. More analysis revealed that the FA induced improvement in B0 and k could be attributed to the rapidly biodegradable substances rather than the slowly biodegradable substances. Economic and environmental analyses showed that the FA-based technology is economically favourable and environmentally friendly. Since this FA technology aims to use the wastewater treatment plants (WWTPs) waste (i.e. anaerobic digestion liquor) to enhance methane production from the WWTPs, it will set an example for the paradigm shift of the WWTPs from linear economy to circular economy.


Journal of Environmental Sciences-china | 2017

Combined zero valent iron and hydrogen peroxide conditioning significantly enhances the dewaterability of anaerobic digestate

Qilin Wang; Jing Sun; Kang Song; Xu Zhou; Wei Wei; Dongbo Wang; Guo-Jun Xie; Yanyan Gong; Beibei Zhou

The importance of enhancing sludge dewaterability is increasing due to the considerable impact of excess sludge volume on disposal costs and on overall sludge management. This study presents an innovative approach to enhance dewaterability of anaerobic digestate (AD) harvested from a wastewater treatment plant. The combination of zero valent iron (ZVI, 0-4.0g/g total solids (TS)) and hydrogen peroxide (HP, 0-90mg/g TS) under pH3.0 significantly enhanced the AD dewaterability. The largest enhancement of AD dewaterability was achieved at 18mg HP/g TS and 2.0g ZVI/g TS, with the capillary suction time reduced by up to 90%. Economic analysis suggested that the proposed HP and ZVI treatment has more economic benefits in comparison with the classical Fenton reaction process. The destruction of extracellular polymeric substances and cells as well as the decrease of particle size were supposed to contribute to the enhanced AD dewaterability by HP+ZVI conditioning.


Chemosphere | 2018

Model-based assessment of estrogen removal by nitrifying activated sludge

Lai Peng; Xiaohu Dai; Yiwen Liu; Jing Sun; Shaoxian Song; Bing-Jie Ni

Complete removal of estrogens such as estrone (E1), estradiol (E2), estriol (E3) and ethinylestradiol (EE2) in wastewater treatment is essential since their release and accumulation in natural water bodies are giving rise to environment and health issues. To improve our understanding towards the estrogen bioremediation process, a mathematical model was proposed for describing estrogen removal by nitrifying activated sludge. Four pathways were involved in the developed model: i) biosorption by activated sludge flocs; ii) cometabolic biodegradation linked to ammonia oxidizing bacteria (AOB) growth; iii) non-growth biodegradation by AOB; and iv) biodegradation by heterotrophic bacteria (HB). The degradation kinetics was implemented into activated sludge model (ASM) framework with consideration of interactions between substrate update and microorganism growth as well as endogenous respiration. The model was calibrated and validated by fitting model predictions against two sets of batch experimental data under different conditions. The model could satisfactorily capture all the dynamics of nitrogen, organic matters (COD), and estrogens. Modeling results suggest that for E1, E2 and EE2, AOB-linked biodegradation is dominant over biodegradation by HB at all investigated COD dosing levels. However, for E3, the increase of COD dosage triggers a shift of dominant pathway from AOB biodegradation to HB biodegradation. Adsorption becomes the main contributor to estrogen removal at high biomass concentrations.


Science of The Total Environment | 2019

The inhibitory impacts of nano-graphene oxide on methane production from waste activated sludge in anaerobic digestion

Bin Dong; Zhaohui Xia; Jing Sun; Xiaohu Dai; Xueming Chen; Bing-Jie Ni

The wide application of graphene oxide nanoparticles inevitably leads to their discharge into wastewater treatment plants and combination with the activated sludge. However, to date, it is largely unknown if the nano-graphene oxide (NGO) has potential impacts on the anaerobic digestion of waste activated sludge (WAS). Therefore, this work aims to fill the knowledge gap through comprehensively investigating the effects of NGO on carbon transformation and methane production in the anaerobic digestion of WAS. Biochemical methane potential tests demonstrated the methane production dropped with increasing NGO additions, the cumulative methane production decreasing by 7.6% and 12.6% at the NGO dosing rates of 0.054u202fmg/mg-VS and 0.108u202fmg/mg-VS, respectively. Model-based analysis indicated NGO significantly reduced biochemical methane potential, with the highest biochemical methane potential decrease being approximately 10% at the highest NGO dosing rate. Further experimental analysis suggested that the decreased methane production was firstly related to a decrease in soluble organic substrates availability during the process of sludge disintegration, potentially attributing to the strong absorption of organic substrates by NGO. Secondly, NGO significantly inhibited the methanogenesis by negatively affecting the corresponding enzyme activity (i.e. coenzyme F420), which could also resulted in a decreased methane production.


Science of The Total Environment | 2018

Kinetic assessment of simultaneous removal of arsenite, chlorate and nitrate under autotrophic and mixotrophic conditions

Lai Peng; Xiaohu Dai; Yiwen Liu; Wei Wei; Jing Sun; Guo-Jun Xie; Dongbo Wang; Shaoxian Song; Bing-Jie Ni

In this work, a kinetic model was proposed to evaluate the simultaneous removal of arsenite (As (III)), chlorate (ClO3-) and nitrate (NO3-) in a granule-based mixotrophic As (III) oxidizing bioreactor for the first time. The autotrophic kinetics related to growth-linked As (III) oxidation and ClO3- reduction by As (III) oxidizing bacteria (AsOB) were calibrated and validated based on experimental data from batch test and long-term reactor operation under autotrophic conditions. The heterotrophic kinetics related to non-growth linked As (III) oxidation and ClO3- reduction by heterotrophic bacteria (HB) were evaluated based on the batch experimental data under heterotrophic conditions. The existing kinetics related to As (III) oxidation with NO3- as the electron acceptor together with heterotrophic denitrification were incorporated into the model framework to assess the bioreactor performance in treatment of the three co-occurring contaminants. The results revealed that under autotrophic conditions As (III) was completely oxidized by AsOB (over 99%), while ClO3- and NO3- were poorly removed. Under mixotrophic conditions, the simultaneous removal of the three contaminants was achieved with As (III) oxidized mostly by AsOB and ClO3- and NO3- removed mostly by HB. Both hydraulic retention time (HRT) and influent organic matter (COD) concentration significantly affected the removal efficiency. Above 90% of As (III), ClO3- and NO3- were removed in the mixotrophic bioreactor under optimal operational conditions of HRT and influent COD.


Journal of Hazardous Materials | 2017

Modeling aerobic biotransformation of vinyl chloride by vinyl chloride-assimilating bacteria, methanotrophs and ethenotrophs.

Yiwen Liu; Huu Hao Ngo; Wenshan Guo; Jing Sun; Dongbo Wang; Lai Peng; Bing-Jie Ni

Recent studies have investigated the potential of enhanced groundwater Vinyl Chloride (VC) remediation in the presence of methane and ethene through the interactions of VC-assimilating bacteria, methanotrophs and ethenotrophs. In this study, a mathematical model was developed to describe aerobic biotransformation of VC in the presence of methane and ethene for the first time. It examines the metabolism of VC by VC-assimilating bacteria as well as cometabolism of VC by both methanotrophs and ethenotrophs, using methane and ethene respectively, under aerobic conditions. The developed model was successfully calibrated and validated using experimental data from microcosms with different experimental conditions. The model satisfactorily describes VC, methane and ethene dynamics in all microcosms tested. Modeling results describe that methanotrophic cometabolism of ethene promotes ethenotrophic VC cometabolism, which significantly enhances aerobic VC degradation in the presence of methane and ethene. This model is expected to be a useful tool to support effective and efficient processes for groundwater VC remediation.


Chemical Engineering Journal | 2017

Sulfide removal and sulfur production in a membrane aerated biofilm reactor: Model evaluation

Jing Sun; Xiaohu Dai; Yiwen Liu; Lai Peng; Bing-Jie Ni


Chemical Engineering Science | 2017

Modelling cometabolic biotransformation of sulfamethoxazole by an enriched ammonia oxidizing bacteria culture

Lai Peng; Elissavet Kassotaki; Yiwen Liu; Jing Sun; Xiaohu Dai; Maite Pijuan; Ignasi Rodríguez-Roda; Gianluigi Buttiglieri; Bing-Jie Ni


Journal of Cleaner Production | 2017

Enhancing immobilization of arsenic in groundwater: A model-based evaluation

Lai Peng; Yiwen Liu; Jing Sun; Dongbo Wang; Xiaohu Dai; Bing-Jie Ni


Chemical Engineering Science | 2017

Optimizing sulfur-driven mixotrophic denitrification process: System performance and nitrous oxide emission

Yiwen Liu; Huu Hao Ngo; Wenshan Guo; Junliang Zhou; Lai Peng; Dongbo Wang; Xueming Chen; Jing Sun; Bing-Jie Ni

Collaboration


Dive into the Jing Sun's collaboration.

Top Co-Authors

Avatar

Lai Peng

University of Antwerp

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Shaoxian Song

Wuhan University of Technology

View shared research outputs
Top Co-Authors

Avatar

Xu Zhou

Harbin Institute of Technology Shenzhen Graduate School

View shared research outputs
Top Co-Authors

Avatar

Wei Wei

Harbin Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Xueming Chen

University of Queensland

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Guo-Jun Xie

Harbin Institute of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge