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Prof. Guangcan Zhu
School of Energy and Environment, Southeast University, Nanjing, China

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0 Bio-Treatment System of Sewage Treatment Plant
0 Rural sewage treatment and management
0 Biological nitrogen and phosphorus removal
0 Nitrogen and Phosphorus Utilization
0 Drinking Water Security

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Biological pre-treatment and advanced treatment of drinking water
Biological nitrogen and phosphorus removal
Microbial fuel cells technology used for sewage treatment

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Journal article
Published: 30 August 2021 in Physica A: Statistical Mechanics and its Applications
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In this paper, water quality redundancy/reliability was proposed based on information entropy technology including Tsalli entropy and Shannon entropy in water distribution system (WDS), which was applied to 26 WDS with various layouts. The residual chlorine is considered to be representative of water quality parameter, comply with first-order decay model. The method was performed based on EPANET toolkit and MATLAB environment. The results indicated that approach 1 focused on local nodal water quality is more suitable for evaluating water quality reliability, especially for small WDS. The water quality redundancy increased with the loop number for various layouts, and has an exponential relationship with distance-weighted average nodal degree. The water quality redundancy has a linear relationship with the hydraulic redundancy. In addition, the water quality reliability based on Tsalli entropy and Shannon entropy decreased with the value of decay coefficient, which indicated that the water quality redundancy/reliability can be applied to evaluate and compare the reliability of WDS from view of water quality. The proposed evaluation method based on information entropy can help design, analyze, and improve the scenarios in WDS.

ACS Style

Yumin Wang; Guangcan Zhu. Evaluation of water quality reliability based on entropy in water distribution system. Physica A: Statistical Mechanics and its Applications 2021, 126373 .

AMA Style

Yumin Wang, Guangcan Zhu. Evaluation of water quality reliability based on entropy in water distribution system. Physica A: Statistical Mechanics and its Applications. 2021; ():126373.

Chicago/Turabian Style

Yumin Wang; Guangcan Zhu. 2021. "Evaluation of water quality reliability based on entropy in water distribution system." Physica A: Statistical Mechanics and its Applications , no. : 126373.

Research article
Published: 05 August 2021 in E3S Web of Conferences
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Decentralized wastewater treatment technology, especially natural ecological treatment technology has widely been used in rural regions. In this paper, a comprehensive life cycle assessment (LCA) of a typical wastewater ecological treatment technology - artificial wetland technology was conducted. SimaPro software was applied to simulate the wastewater treatment facility, and the CML2 baseline2000 impact evaluation method was selected to analyze the environmental loads and benefits during the life cycle. The environmental impact of the facility adopting grey-black separation mode is compared with that of the unified collection and treatment model to provide scientific basis and suggestions for the selection of wastewater collection and treatment model. The results indicated that the main environmental impact of the Southeast University artificial wetland system comes from the construction and operation of the artificial wetland and aeration tank. Marine water ecotoxicity is the main impact factor, followed by freshwater water ecotoxicity.

ACS Style

Siyi Wang; Zixiang Ji; Yumin Wang. Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment. E3S Web of Conferences 2021, 299, 02006 .

AMA Style

Siyi Wang, Zixiang Ji, Yumin Wang. Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment. E3S Web of Conferences. 2021; 299 ():02006.

Chicago/Turabian Style

Siyi Wang; Zixiang Ji; Yumin Wang. 2021. "Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment." E3S Web of Conferences 299, no. : 02006.

Journal article
Published: 02 August 2021 in Journal of Environmental Management
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In water distribution system (WDS), chlorine is often injected as disinfectant to control the growth of microorganism in WDS. However, the chlorine reacts with organism to form disinfectant byproduct, which can bring risk to human health. As such, the chlorine at nodes in WDS should be kept between acceptable range, which is simulated based on the response at nodes corresponding to unit injection mass at boosters. To deal with the uncertainty in chlorine decay process and lower and upper chlorine concentration limits, an inexact left-hand-side chance-constrained programming (ILCCP) model was proposed in this paper and applied to two WDSs. The response coefficients matrix was expressed as random variables with normal probability distribution in the constraints of lower and upper limits, which was obtained through Monte Carlo simulation by linking with EPANET software. The intervals of injection mass were obtained by solving the ILCCP model with a two-step algorithm. Moreover, the effects of random bulk decay coefficients and interval of chlorine limits on the injection mass were analyzed and compared. The results indicated that the lower bounds of optimal injection mass increased with the rise of probability lever for lower limits, while the upper bounds decreased with the rise of the probability level for upper limits. The results can help managers determine the chlorine injection mass under uncertain scenarios, and can be applied to more complicated WDS to obtain meaningful results.

ACS Style

Yumin Wang; Guangcan Zhu. Inexact left-hand side two-stage chance-constrained programming for booster optimization in water distribution system. Journal of Environmental Management 2021, 298, 113372 .

AMA Style

Yumin Wang, Guangcan Zhu. Inexact left-hand side two-stage chance-constrained programming for booster optimization in water distribution system. Journal of Environmental Management. 2021; 298 ():113372.

Chicago/Turabian Style

Yumin Wang; Guangcan Zhu. 2021. "Inexact left-hand side two-stage chance-constrained programming for booster optimization in water distribution system." Journal of Environmental Management 298, no. : 113372.

Journal article
Published: 19 June 2021 in Journal of Environmental Management
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Mainstream anaerobic treatment has the potential to capture organic energy, and represents a sustainable development trend, but with the problems of low biogas quality and dissolved methane emissions. In this study, methane-driven ammonia recovery of anaerobic effluent was proposed. A 380-day long-term experiment, which was divided into four phases according to different aeration modes, was conducted. The ammonia conversion and microbial characteristics shows that ammonia oxidizing bacteria (AOB) were constrained during Phases 2 (DO: <0.2 mg L−1) and 4 (DO: 0.1–1.6 mg L−1), and were active during Phase 3 (DO: 2–4 mg L−1). During phase 4, when the intermittent aeration was used, the total nitrogen removal rate was higher than during Phases 2 and 3, and nearly 100% ammonia was removed. Methylomonas, a genus of methane oxidizing bacteria (MOB), was enriched during Phase 4. The serum bottle experiment confirmed that the ammonia removal occurred through the MOB assimilation. The protein content in the CH4-added group was 35.5%, which was higher than in the group without CH4 (23.3%). The powerful ammonia assimilation and protein synthesis capabilities of MOB give a meaning to the anaerobic effluent for ammonia recovery and protein production. Intermittent aeration could be used to constrain AOB and improve ammonia recovery efficiency.

ACS Style

Xin Li; Yongze Lu; Yue Chen; Guangcan Zhu; Raymond Jianxiong Zeng. Constraining nitrification by intermittent aeration to achieve methane-driven ammonia recovery of the mainstream anaerobic effluent. Journal of Environmental Management 2021, 295, 113103 .

AMA Style

Xin Li, Yongze Lu, Yue Chen, Guangcan Zhu, Raymond Jianxiong Zeng. Constraining nitrification by intermittent aeration to achieve methane-driven ammonia recovery of the mainstream anaerobic effluent. Journal of Environmental Management. 2021; 295 ():113103.

Chicago/Turabian Style

Xin Li; Yongze Lu; Yue Chen; Guangcan Zhu; Raymond Jianxiong Zeng. 2021. "Constraining nitrification by intermittent aeration to achieve methane-driven ammonia recovery of the mainstream anaerobic effluent." Journal of Environmental Management 295, no. : 113103.

Research article
Published: 30 April 2021 in Urban Water Journal
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The reliability of water distribution system (WDS) involves imprecise or uncertain parameters. For hydraulic reliability, the uncertain parameters include roughness coefficient, nodal water demand, and the reservoir water level, etc. While water quality reliability is primarily related to chlorine concentrations, with uncertainty parameters including both bulk decay coefficients and wall decay coefficients. The uncertain independent parameters lead to the uncertain results of reliability simulation. As such, fuzzy set theory was proposed to analyze the reliability of WDS and associated belief degree (BD) of calculated reliability. The proposed method was applied to two examples to solve the uncertainty in traditional reliability assessment. The system reliability and BD of WDS were obtained by assumed three uncertainty levels. In addition, the sensitivity analysis of uncertain independent parameters was performed to compare the effects of parameters on simulated reliability and associated BD. The proposed method can help municipalities to make scientific pipe network programming to improve the reliability of WDS.

ACS Style

Yumin Wang; Guangcan Zhu. Analysis of reliability and belief degree for water distribution system based on fuzzy set theory. Urban Water Journal 2021, 18, 497 -509.

AMA Style

Yumin Wang, Guangcan Zhu. Analysis of reliability and belief degree for water distribution system based on fuzzy set theory. Urban Water Journal. 2021; 18 (7):497-509.

Chicago/Turabian Style

Yumin Wang; Guangcan Zhu. 2021. "Analysis of reliability and belief degree for water distribution system based on fuzzy set theory." Urban Water Journal 18, no. 7: 497-509.

Article
Published: 25 April 2021 in Environmental Monitoring and Assessment
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To sustain water quality in water distribution system (WDS), disinfectant generally chlorine is boosted to water distribution system. However, the concentration of chlorine should be limited to acceptable scope. The upper bound of the scope is set for preventing the occurrence of disinfectant byproduct, which is harmful to human health. The lower bound of the scope is set for controlling the growth of microorganism as well as reducing the cost. As such, the optimization model was applied to solve the water quality issue in WDS. However, in WDS, chlorine decays and varies with time and space, affected by pipe material, temperature, pH value, and chlorine injection. Therefore, in this paper, an inexact \({\mathrm{m}}_{\uplambda }\) fuzzy chance-constrained programming (IMFCCP) model was proposed to optimize the chlorine injection to maintain chlorine in WDS at an acceptable level with consideration of uncertainty in water quality simulation. The results indicated that the upper bounds, the lower bounds, and intervals of the injection mass increased with preference parameter λ, which means that the results are more unreliable with higher preference parameter λ. However, the effect of reliability level ζ on the injection mass is determined by the relationship between the preference parameter λ and reliability level ζ. In case of \(\uplambda \le {\upzeta }_{\mathrm{U}}={\upzeta }_{\mathrm{L}}\), the effect is not more significant than the case of \(\uplambda >{\upzeta }_{\mathrm{U}}={\upzeta }_{\mathrm{L}}\). The results can help managers determine the injection strategy under uncertainty.

ACS Style

Yumin Wang. Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty. Environmental Monitoring and Assessment 2021, 193, 1 -15.

AMA Style

Yumin Wang. Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty. Environmental Monitoring and Assessment. 2021; 193 (5):1-15.

Chicago/Turabian Style

Yumin Wang. 2021. "Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty." Environmental Monitoring and Assessment 193, no. 5: 1-15.

Conference paper
Published: 01 March 2021 in IOP Conference Series: Earth and Environmental Science
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Water resources carrying capacity (WRCC) is a significant foundation for scientific management of water resources that connected with development of water resources, population, society, and economy. With the rapid development of economy and society, the shortage of water quantity is becoming one of the most profound global issues. In this paper, to evaluate WRCC scientifically and reasonably, index system of WRCC was established and applied for assessing the WRCC of four cities in China by fuzzy matter element (FME) model comprehensively. The indices were weighted by entropy method. The WRCC of four cities of Beijing, Tianjin, Shanghai, and Chongqing are 2.620, 2.503, 2.590, and 2.457, respectively. The results indicated that the WRCC of four cities decreased in the order of Chongqing > Tianjin > Shanghai > Beijing. The method proposed can be applied to other evaluation issues, and the results can help managers realize the importance of water resources in developing the economy and society.

ACS Style

Yumin Wang; Zixiang Ji. Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model. IOP Conference Series: Earth and Environmental Science 2021, 706, 012003 .

AMA Style

Yumin Wang, Zixiang Ji. Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model. IOP Conference Series: Earth and Environmental Science. 2021; 706 (1):012003.

Chicago/Turabian Style

Yumin Wang; Zixiang Ji. 2021. "Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model." IOP Conference Series: Earth and Environmental Science 706, no. 1: 012003.

Journal article
Published: 26 January 2021 in Bioelectrochemistry
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Different biocathode electrode materials (graphite felt and carbon brush, GF and CB) and exchange membranes (proton exchange membrane and cation exchange membrane, PEM and CEM) were used in three microbial fuel cell (MFC) configurations operated for 300-days to investigate the power generation and the COD and N removal performance. Results showed no effect on the COD removal (all above 96%); however, the power generation (46.11 mW·h) and denitrification performance (68.0 ± 1.6%) of the MFC-B (GF + PEM) system were higher than those of the other systems (MFC-A: CB + PEM; MFC-C: CB + CEM) (P < 0.01), and the power generation and denitrification performance of all three systems decreased with time (P < 0.01). By analyzing the physicochemical properties of the exchange membrane and cathode electrode materials, the reasons that affect the power generation performance of the system were clarified. Furthermore, the increase in bioelectricity enhanced the electricity-related nitrification and denitrification reactions. The average 300-day unit denitrification cost of MFC-A was 4.2 and 6.3 times that of MFC-B and MFC-C, respectively. Comprehensive consideration of electricity generation, denitrification, and service life, combined with cost analysis and better selection of construction materials, provides a theoretical basis for the long-term stable operation and sustainable application of MFCs.

ACS Style

Shan Huang; Jingran Zhang; Jiachang Pi; Liying Gong; Guangcan Zhu. Long-term electricity generation and denitrification performance of MFCs with different exchange membranes and electrode materials. Bioelectrochemistry 2021, 140, 107748 .

AMA Style

Shan Huang, Jingran Zhang, Jiachang Pi, Liying Gong, Guangcan Zhu. Long-term electricity generation and denitrification performance of MFCs with different exchange membranes and electrode materials. Bioelectrochemistry. 2021; 140 ():107748.

Chicago/Turabian Style

Shan Huang; Jingran Zhang; Jiachang Pi; Liying Gong; Guangcan Zhu. 2021. "Long-term electricity generation and denitrification performance of MFCs with different exchange membranes and electrode materials." Bioelectrochemistry 140, no. : 107748.

Research article
Published: 18 January 2021 in Journal of Environmental Health Science and Engineering
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In this study, at an electric current intensity at 60 mA, more than 90.50 ± 4.76% of Sulfamethoxazole (SMX) was degraded. The strengthening of bacterial metabolisms and the sustainment of electrical stimulation contributed to the rapid removal of SMX and nitrates from simulated wastewater by a novel 3D-BER system. From the literature, very few studies have been performed to investigate the high risk of nitrates and antibiotics SMX found in wastewater treatment. The highest antibiotic SMX and nitrogen removal efficiency was 96.45 ± 2.4% (nitrate-N), 99.5 ± 1.5% (nitrite-N), 88.45 ± 1.4% (ammonia-N), 78.6 ± 1.0% (total nitrogen), and SMX (90.50 ± 4.76%), respectively. These results were significantly higher as compared to control system (p < 0.05). The highest denitrification efficiency was achieved at the pH level of 7.0 ± 0.20 ̶ 7.5 ± 0.31. Lower or higher pH value can effect on an approach of heterotrophic-autotrophic denitrification. Moreover, low current intensity did not show any significant effect on the degradation, however, enhanced the removal rate of nitrate or nitrite as well as antibiotic SMX. Based on the results of HPLC and LC-MS/MS analysis, the intermediate products were proposed after efficient biodegradation of SMX. Finally, these results is expected to provide some new insights towards the high electric currents, changes the bacterial community structure, and the activated sludge which played an important role in the biodegradation of SMX and nitrates removal more efficiently.

ACS Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu. Simultaneous removal of sulfamethoxazole and enhanced denitrification process from simulated municipal wastewater by a novel 3D-BER system. Journal of Environmental Health Science and Engineering 2021, 19, 23 -38.

AMA Style

Mahdi Hassan, Guangcan Zhu, Zhonglian Yang, Yongze Lu. Simultaneous removal of sulfamethoxazole and enhanced denitrification process from simulated municipal wastewater by a novel 3D-BER system. Journal of Environmental Health Science and Engineering. 2021; 19 (1):23-38.

Chicago/Turabian Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu. 2021. "Simultaneous removal of sulfamethoxazole and enhanced denitrification process from simulated municipal wastewater by a novel 3D-BER system." Journal of Environmental Health Science and Engineering 19, no. 1: 23-38.

Journal article
Published: 01 December 2020 in Journal of Coastal Research
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Wang, Y.; Wu, Y., and Jiang, L., 2020. Application of interval information comprehensive ranking model based on entropy weight in river water quality evaluation. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 137–140. Coconut Creek (Florida), ISSN 0749-0208.In this article, an interval information comprehensive ranking model based on entropy weight is established and applied to river water quality evaluation. In this model, the monitoring interval value of water quality index of river section is weighted with the interval data of standard grade. The weight of each index is calculated by using information entropy technology, and the water quality grade of each section is determined by comprehensive weighted ranking of each section and evaluation grade. The results show that the concept of the model is clear, the calculation is simple, and the evaluation results are objective and reasonable.

ACS Style

Yumin Wang; Yifeng Wu; Lan Jiang. Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation. Journal of Coastal Research 2020, 105, 137 -140.

AMA Style

Yumin Wang, Yifeng Wu, Lan Jiang. Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation. Journal of Coastal Research. 2020; 105 (sp1):137-140.

Chicago/Turabian Style

Yumin Wang; Yifeng Wu; Lan Jiang. 2020. "Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation." Journal of Coastal Research 105, no. sp1: 137-140.

Article
Published: 24 November 2020 in Bulletin of Environmental Contamination and Toxicology
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Most of the pollutants discharged into the water will deposit at the bottom of the river and may cause biological toxicity. Daphnia magna-elutriate toxicity bioassay was usually applied to evaluate sediment toxicity. However, the loss of hydrophobic pollutants during the elutriating will lead to the underestimation of sediment toxicity. The purpose of this study is to apply the optimized immobilized sediments to D. magna test, so it can be directly exposed to the sediments and get accurate sediment toxicity results. The optimized immobilized sediment was prepared by mixing 1 g sediment with 7.5 mL 3% (w/v) alginate and hardened in a 4% (w/v) CaCl2 solution. Based on D. magna acute toxicity test, the median lethal concentration values (LC50) of the spiked Cu and diuron measured by using immobilized sediment were both lower than that of using the elutriate, in which the difference of Cu-LC50 reached a significant level. The toxicity changes of sediment in the polluted rivers before and after dredging were then be evaluated by using the immobilized sediment. The toxicity of the sediments at four sites decreased from acute-toxic (pro-dredging) to slight-acute-toxic and nontoxic (post-dredging).

ACS Style

Li-Ling Zhang; Zhou-Tao Pei; Ya-Ni Zhao; Jing Zhang; Rou-Rou Xu; Meng Zhang; Wen-Qiang Wang; Li-Wei Sun; Guang-Can Zhu. Toxicity Changes of Heavily Polluted River Sediments on Daphnia magna Before and After Dredging. Bulletin of Environmental Contamination and Toxicology 2020, 105, 874 -881.

AMA Style

Li-Ling Zhang, Zhou-Tao Pei, Ya-Ni Zhao, Jing Zhang, Rou-Rou Xu, Meng Zhang, Wen-Qiang Wang, Li-Wei Sun, Guang-Can Zhu. Toxicity Changes of Heavily Polluted River Sediments on Daphnia magna Before and After Dredging. Bulletin of Environmental Contamination and Toxicology. 2020; 105 (6):874-881.

Chicago/Turabian Style

Li-Ling Zhang; Zhou-Tao Pei; Ya-Ni Zhao; Jing Zhang; Rou-Rou Xu; Meng Zhang; Wen-Qiang Wang; Li-Wei Sun; Guang-Can Zhu. 2020. "Toxicity Changes of Heavily Polluted River Sediments on Daphnia magna Before and After Dredging." Bulletin of Environmental Contamination and Toxicology 105, no. 6: 874-881.

Journal article
Published: 03 November 2020 in Chemosphere
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Bisphenol A (BPA), a typical endocrine disrupting chemical, is widespread in aqueous environment and cannot be efficiently treated by traditional water treatment technologies. Bismuth oxybromide (BiOBr) is a promising photocatalyst with a special layered structure. However, its band gap (2.8 eV) is not narrow enough for the efficient harvesting of visible light, severely restricting its practical use. Given that the band gap of Bi2S3 is only 1.3 eV, S-doping modification could be used to tailor the band structure of BiOBr. Here, series of S-doped BiOBr nanosheets was prepared through a facile hydrothermal procedure. The as-prepared S0.2-BiOBr nanosheets showed a narrower band gap of 2.33 eV. The intrinsic photocatalytic activity of S0.2-BiOBr sample for the degradation of BPA was 2.78 times higher than that of BiOBr under visible light degradation. Moreover, the mechanism of BPA degradation over the S-doped BiOBr under visible light irradiation was elucidated based on the experimental results and density functional theoretical calculations. Overall, a feasible and effective doping method was proposed to improve the utilization efficiency of visible light.

ACS Style

Chu-Ya Wang; Qi Zeng; Guangcan Zhu. Novel S-doped BiOBr nanosheets for the enhanced photocatalytic degradation of bisphenol A under visible light irradiation. Chemosphere 2020, 268, 128854 .

AMA Style

Chu-Ya Wang, Qi Zeng, Guangcan Zhu. Novel S-doped BiOBr nanosheets for the enhanced photocatalytic degradation of bisphenol A under visible light irradiation. Chemosphere. 2020; 268 ():128854.

Chicago/Turabian Style

Chu-Ya Wang; Qi Zeng; Guangcan Zhu. 2020. "Novel S-doped BiOBr nanosheets for the enhanced photocatalytic degradation of bisphenol A under visible light irradiation." Chemosphere 268, no. : 128854.

Journal article
Published: 15 September 2020 in Sustainability
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Emerging pollutants in the form of pharmaceuticals have drawn international attention during the past few decades. Ciprofloxacin (CIP) is a common drug widely found in effluents from hospitals, industrial and different wastewater treatment plants, as well as rivers. In this work, the lab-scale 3D-BER system was established, and more than 90% of the antibiotic CIP was removed from Low C/N wastewater. The best results were obtained with the current intensity being taken into account, and a different C/N ratio significantly improved the removal of CIP and nitrates when the ideal conditions were C/N = 1.5–3.5, pH = 7.0–7.5 and I = 60 mA. The highest removal efficiency occurred when CIP = 94.2%, NO3−-N = 95.5% and total nitrogen (TN) = 84.3%, respectively. In this novel system, the autotrophic-heterotrophic denitrifying bacteria played a vital role in the removal of CIP and an enhanced denitrification process. Thus, autotrophic denitrifying bacteria uses CO2 and H2 as carbon sources to reduce nitrates to N2. This system has the assortment and prosperous community revealed at the current intensity of 60 mA, and the analysis of bacterial community structure in effluent samples fluctuates under different conditions of C/N ratios. Based on the results of LC-MS/MS analysis, the intermediate products were proposed after efficient biodegradation of CIP. The microbial community on biodegrading was mostly found at phylum, and the class level was dominantly responsible for the NO3−-N and biodegradation of CIP. This work can provide some new insights towards the biodegradation of CIP and the efficient removal of nitrates from low C/N wastewater treatment through the novel 3D-BER system.

ACS Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Yan Lang; Liying Gong; Huang Shan. Effect of the C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater as Assessed by a Novel 3D-BER System. Sustainability 2020, 12, 7611 .

AMA Style

Mahdi Hassan, Guangcan Zhu, Zhonglian Yang, Yongze Lu, Yan Lang, Liying Gong, Huang Shan. Effect of the C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater as Assessed by a Novel 3D-BER System. Sustainability. 2020; 12 (18):7611.

Chicago/Turabian Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Yan Lang; Liying Gong; Huang Shan. 2020. "Effect of the C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater as Assessed by a Novel 3D-BER System." Sustainability 12, no. 18: 7611.

Preprint
Published: 17 August 2020
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Emerging pollutants as pharmaceuticals have been focusing international attention for few decades. Ciprofloxacin (CIP) is a common drug widely found in effluents from hospitals, industrial and different wastewater treatment plants, as well as rivers. In this work, the lab-scale 3D-BER system was established, and more than 90% of the antibiotic CIP removal from the Low C/N wastewater. Best results were obtained with current intensity, and different C/N ratio significantly improve the removal of CIP and nitrates, when the ideal conditions were; C/N = 1.5-3.5, pH =7.0-7.5, and I = 60 mA. The highest removal efficiency of CIP = 94.20 %, NO3--N= 95.53 % and total nitrogen (TN) = 84.27 %, respectively. In this novel system, the autotrophic-heterotrophic denitrifying bacteria played vital role for the removal of CIP and enhanced denitrification process. Thus, autotrophic denitrifying bacteria uses CO2 and H2 as carbon sources to reduce nitrates to N2. This system has the assortment and prosperous community revealed at the current intensity of 60 mA, and the analysis of bacterial community structure in effluent samples fluctuates under different condition of C/N ratios. According to the results of LC-MS/MS analysis, the intermediate products were proposed after efficient biodegradation of CIP. Microbial community on biodegrading was mostly found at phylum, and class level was dominantly responsible for the NO3--N and biodegradation of CIP. This work can provide some new insights towards the biodegradation of CIP and the efficient removal of nitrates from low C/N wastewater treatment by the novel 3D-BER system.

ACS Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Yan Lang; Liying Gong; Huang Shan. Effect of C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater by a Novel 3D-BER System. 2020, 1 .

AMA Style

Mahdi Hassan, Guangcan Zhu, Zhonglian Yang, Yongze Lu, Yan Lang, Liying Gong, Huang Shan. Effect of C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater by a Novel 3D-BER System. . 2020; ():1.

Chicago/Turabian Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Yan Lang; Liying Gong; Huang Shan. 2020. "Effect of C/N Ratio on Biodegradation of Ciprofloxacin and Denitrification from Low C/N Wastewater by a Novel 3D-BER System." , no. : 1.

Journal article
Published: 24 July 2020 in Science of The Total Environment
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Methane is a greenhouse gas that can be released from sludge anaerobic fermentation in wastewater treatment plants. Methane is also an alternative additional carbon source for deep nitrate removal of secondary effluent. A sequencing experiment was conducted to study the efficacy of nitrate removal with methane as the sole carbon source. The maximum nitrate removal rate was 17.2 mg-N·L−1·d−1. Nitrate removal was confirmed to arise via two pathways: aerobic methane oxidation coupled to denitrification (AME-D) contributed to 55% of the nitrate removal with the rest stemming from assimilation by methanotrophs. Additional study revealed that nitrate assimilated by methanotrophs was used for the synthesis of proteins, resulting in a protein content of 52.2% dry weight. Metagenomic sequencing revealed a high abundance of nitrate assimilation and glutamine synthetase genes, which were primarily provided by methanotrophs (mainly Methylomonas). Assimilatory nitrate removal by methanotrophs has a high potential for advanced nitrogen removal and for alleviating methane emissions. The nitrogen-rich biomass produced by nitrate absorption could also be used as a biofertilizer for nitrogen recycling.

ACS Style

Yongze Lu; Xin Li; Yue Chen; Yongzhen Wang; Guangcan Zhu; Raymond Jianxiong Zeng. The indispensable role of assimilation in methane driven nitrate removal. Science of The Total Environment 2020, 746, 141089 .

AMA Style

Yongze Lu, Xin Li, Yue Chen, Yongzhen Wang, Guangcan Zhu, Raymond Jianxiong Zeng. The indispensable role of assimilation in methane driven nitrate removal. Science of The Total Environment. 2020; 746 ():141089.

Chicago/Turabian Style

Yongze Lu; Xin Li; Yue Chen; Yongzhen Wang; Guangcan Zhu; Raymond Jianxiong Zeng. 2020. "The indispensable role of assimilation in methane driven nitrate removal." Science of The Total Environment 746, no. : 141089.

Journal article
Published: 15 July 2020 in Environmental Research
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A three-dimensional biofilm-electrode reactor (3D-BER) was constructed to facilitate the tertiary denitrification of the secondary effluent of wastewater treatment plants (SEWTP) under 12 mA and in the absence of a carbon source. The TN removal efficiency was 63.8%. The path of the formation and transformation of nitrogen, the relationship between the TN and COD removal rate and the relative concentration and composition of organic matter in the influent and effluent were analyzed to clarify the possible pathways of N and C transformation in the 3D-BER system. Under the action of an electric current, 4.4 mg NH4+-N·L−1 and 17.7 mg COD·L−1 accumulated in the 3D-BER system, and the removal rates of TN and COD were strongly and positively correlated (R2 = 0.9353). The microorganisms in the 3D-BER system under the action of electric current secreted organic matter, some of which (humic acid and microbial metabolites) could be further electrolyzed by microorganisms into bioavailable organic matter for heterotrophic denitrification. Partially dissolved organic matter (DOM, tryptophan aromatic protein, humic acid and microbial metabolites) in the SEWTP could be hydrolyzed under the action of the electric current in the 3D-BER system and consisted of bioavailable organic matter for heterotrophic denitrification. The contribution of heterotrophic denitrification to TN removal was greater than 11.7%. Therefore, the 3D-BER system removed a portion of DOM through microbial electrohydrolysis and promoted the coupling of hydrogen autotrophic denitrification and heterotrophic denitrification to enhance the effectiveness of nitrogen removal in SEWTP. Overall, this technique is effective for enhancing tertiary denitrification in SEWTP.

ACS Style

Shan Huang; Yuan Lu; Xin Li; Yongze Lu; Guangcan Zhu; Mahdi Hassan. Tertiary denitrification and organic matter variations of secondary effluent from wastewater treatment plant by the 3D-BER system. Environmental Research 2020, 189, 109937 .

AMA Style

Shan Huang, Yuan Lu, Xin Li, Yongze Lu, Guangcan Zhu, Mahdi Hassan. Tertiary denitrification and organic matter variations of secondary effluent from wastewater treatment plant by the 3D-BER system. Environmental Research. 2020; 189 ():109937.

Chicago/Turabian Style

Shan Huang; Yuan Lu; Xin Li; Yongze Lu; Guangcan Zhu; Mahdi Hassan. 2020. "Tertiary denitrification and organic matter variations of secondary effluent from wastewater treatment plant by the 3D-BER system." Environmental Research 189, no. : 109937.

Preprint
Published: 09 July 2020
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In this study, a three-dimensional bioelectrochemical reactor system (3D-BERs) with granular activated carbon (GAC) epitomizes a novel treatment technology for treating nitrate-polluted water. The conventional denitrification process faces many challenges, including the huge demand for organic carbon, long-term accumulation of intermediate products, and the adaptation period. Results shown that under the optimal conditions of the COD/NO3--N ratio was 1.5, the denitrification efficiency reached 98.62%, when compared to 81.12% at COD/ NO3--N ratio of 3.5, and the initial pH of 7.5 ± 0.5, NO3--N was entirely removed at 2.2 h without accumulation of nitrite. The high initial ratio of NO2--N/NO3--N is mainly to accelerate the denitrification rate by accelerating the reduction of nitrite. Denitrification process followed by zero-order kinetics linear model for at different concentrations of inlet NO3--N, and achieved higher denitrification rate at greater inlet NO3--N concentration. High-throughput sequencing shows that the community structure and relative abundance of bacteria changed significantly, especially at the genes and the phyla level in immobilized GAC particles. Microbial composition enhanced the removal of nitrogen at the inner surface (IS) and bottom surface (BS) of immobilized GAC carriers. Therefore, this system is expected to be a more efficient and useful supplement or a cost-effective alternative compared to the traditional low carbon to nitrogen wastewater treatment system.

ACS Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Huang Shan. Diversity of Immobilized Bacterial Communities and Nitrates Removal by Instantaneous Heterotrophic Denitrification Treating Nitrate-Polluted Water Using 3D-BERs-GAC: Effects of pH and COD/NO3- -N Ratio. 2020, 1 .

AMA Style

Mahdi Hassan, Guangcan Zhu, Zhonglian Yang, Yongze Lu, Huang Shan. Diversity of Immobilized Bacterial Communities and Nitrates Removal by Instantaneous Heterotrophic Denitrification Treating Nitrate-Polluted Water Using 3D-BERs-GAC: Effects of pH and COD/NO3- -N Ratio. . 2020; ():1.

Chicago/Turabian Style

Mahdi Hassan; Guangcan Zhu; Zhonglian Yang; Yongze Lu; Huang Shan. 2020. "Diversity of Immobilized Bacterial Communities and Nitrates Removal by Instantaneous Heterotrophic Denitrification Treating Nitrate-Polluted Water Using 3D-BERs-GAC: Effects of pH and COD/NO3- -N Ratio." , no. : 1.

Journal article
Published: 27 May 2020 in Chemosphere
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The efficiency of disease prevention and medical care service necessitated the prediction of incidence. However, predictive accuracy and power were largely impeded in a complex system including multiple environmental stressors and health outcome of which the occurrence might be episodic and irregular in time. In this study, we established four different deep learning (DL) models to capture inherent long-term dependencies in sequences and potential complex relationships among constituents by initiating with the original input into a representation at a higher abstract level. We collected 504,555 and 786,324 hospital outpatient visits of grouped categories of respiratory (RESD) and circulatory system disease (CCD), respectively, in Nanjing from 2013 through 2018. The matched observations in time-series that might pose risk to cardiopulmonary health involved conventional air pollutants concentrations and metrological conditions. The results showed that a well-trained network architecture built upon long short-term memory block and a working day enhancer achieved optimal performance by three quantitative statistics, i.e., 0.879 and 0.902 of Nash-Sutcliffe efficiency, 0.921% and 0.667% of percent bias, and 0.347 and 0.312 of root mean square error-standard deviation ratio for RESD and CCD hospital visits, respectively. We observed the non-linear association of nitrogen dioxide and ambient air temperature with CCD hospital visits. Furthermore, these two environmental stressors were identified as the most sensitive predictive variables, and exerted synergetic effect for two health outcomes, particular in winter season. Our study indicated that high-quality surveillance data of atmospheric environments could provide novel opportunity for anticipating temporal trend of cardiopulmonary health outcomes based on DL model.

ACS Style

Ce Wang; Yi Qi; Guangcan Zhu. Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China. Chemosphere 2020, 257, 127176 .

AMA Style

Ce Wang, Yi Qi, Guangcan Zhu. Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China. Chemosphere. 2020; 257 ():127176.

Chicago/Turabian Style

Ce Wang; Yi Qi; Guangcan Zhu. 2020. "Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China." Chemosphere 257, no. : 127176.

Journal article
Published: 12 May 2020 in Biochemical Engineering Journal
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Stable, efficient, and low-aeration consumption operation of the sewage treatment process under low atmosphere pressure is a major challenge in high-altitude areas. The simultaneous nitrification, denitrification, and phosphorus removal (SNDPR) process may be suitable for low-oxygen conditions and can reduce aeration energy consumption under low atmosphere pressure because of the low demand for dissolved oxygen. Here, we studied an SNDPR system at low atmosphere pressure (72 kPa) that showed stable and efficient performance. The nitrogen removal efficiency at 72 kPa was much lower than that at 100 kPa at the same aeration rate, while the residual phosphate concentration remained unchanged. To achieve the same oxygen demand, the energy consumption required at 72 kPa needed to be increased by 25% over that at 100 kPa. Lower atmosphere pressure enhanced the activities of phosphorus-accumulating organisms, nitrate-dependent denitrifying phosphorus-accumulating organisms, nitrite-dependent denitrification bacteria, and nitrate-oxidizing bacteria but suppressed the activities of ammonia-oxidizing bacteria. 16S rDNA sequencing showed that atmosphere pressure can have a large influence on the composition of microbial communities. The nitrogen removal process was the major problem that needed to be enhanced in SNDPR systems at low atmosphere pressure, especially the ammonia oxidation process.

ACS Style

Yue Chen; Shuping Li; Yongze Lu; Guangcan Zhu; Huapeng Cheng. Simultaneous nitrification, denitrification and phosphorus removal (SNDPR) at low atmosphere pressure. Biochemical Engineering Journal 2020, 160, 107629 .

AMA Style

Yue Chen, Shuping Li, Yongze Lu, Guangcan Zhu, Huapeng Cheng. Simultaneous nitrification, denitrification and phosphorus removal (SNDPR) at low atmosphere pressure. Biochemical Engineering Journal. 2020; 160 ():107629.

Chicago/Turabian Style

Yue Chen; Shuping Li; Yongze Lu; Guangcan Zhu; Huapeng Cheng. 2020. "Simultaneous nitrification, denitrification and phosphorus removal (SNDPR) at low atmosphere pressure." Biochemical Engineering Journal 160, no. : 107629.

Journal article
Published: 14 April 2020 in Environmental Research
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Microbial fuel cell (MFC) is an innovative bioconversion technology for wastewater treatment accompanied with electricity recovery. In this study, a kinetic model was developed base on Activated Sludge Model No.1 (ASM1) to describe electron transfer pathways during the simultaneous nitrification and denitrification (SND) process in the biocathode system of a dual-chamber MFC. The batch running of the dual-chamber MFC system showed that it produced a power density up to 2.96 W m−3 within 48 h, the achieved SND efficiency and autotrophic denitrification ratio in the cathodic denitrification process were up to 87.3 ± 0.8% and 69.5 ± 6.6%, respectively. Meanwhile, by integrating nitrification, autotrophic denitrification, heterotrophic denitrification, organic carbon oxidation, and oxygen reduction in the cathode, the model was able to precisely fit the concentration variations of NH3–N, dissolved oxygen (DO) and chemical oxygen demand (COD) during the cathodic SND process (R2 ≥ 0.9876). The cathode electrons tended to be completely utilized with the increase of autotrophic denitrification ratio in the cathodic denitrification process. When the nitrification rate was enhanced, the autotrophic denitrification would prevail in the competition with the heterotrophic denitrification. In summary, the developed model was confirmed to be effective and reliable for describing the electron transfer pathways and predicting the performance of the nitrogen removal reactions during the cathodic SND process in a double-chamber MFC.

ACS Style

Feng Ling; Yongze Lu; Ce Wang; Zhan Yuan; Ran Yu; Guangcan Zhu. Electron transfer pathways and kinetic analysis of cathodic simultaneous nitrification and denitrification process in microbial fuel cell system. Environmental Research 2020, 186, 109505 .

AMA Style

Feng Ling, Yongze Lu, Ce Wang, Zhan Yuan, Ran Yu, Guangcan Zhu. Electron transfer pathways and kinetic analysis of cathodic simultaneous nitrification and denitrification process in microbial fuel cell system. Environmental Research. 2020; 186 ():109505.

Chicago/Turabian Style

Feng Ling; Yongze Lu; Ce Wang; Zhan Yuan; Ran Yu; Guangcan Zhu. 2020. "Electron transfer pathways and kinetic analysis of cathodic simultaneous nitrification and denitrification process in microbial fuel cell system." Environmental Research 186, no. : 109505.