Guohong Liu

Dr. Guohong Liu

State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2023 in Science of The Total Environment
Verified
Journal Article
Closed access
Jiannan LiJiannan Li
Jiannan Li
YFYujie Feng
Yujie Feng
YQYe Qiu
Ye Qiu
DCDahong Chen
Dahong Chen
DLDandan Liang
Dandan Liang
GLGuohong Liu
Guohong Liu

18 January 2023 in Water Research
Verified
Journal Article
Closed access
YTYushi Tian
Yushi Tian
NCNianhua Chen
Nianhua Chen
XYXu Yang
Xu Yang
CLChunyan Li
Chunyan Li
WHWeihua He
Weihua He
Wulin YangWulin Yang
Wulin Yang

21 March 2024 in Environmental Science and Ecotechnology
Verified
Journal Article
Open access
TLTongtong Liu
Tongtong Liu
DLDa Li
Da Li
YTYan Tian
Yan Tian
JZJiajie Zhou
Jiajie Zhou
YQYe Qiu
Ye Qiu
YFYujie FENG
Yujie FENG
Recent advancements in constructed wetlands (CWs) have highlighted the imperative of enhancing nitrogen (N) removal efficiency. However, the variability in influent substrate concentrations presents a challenge in optimizing N removal strategies due to its impact on removal efficiency and mechanisms. Here we show the interplay between influent substrate concentration and N removal processes within integrated vertical-flow constructed wetlands (IVFCWs), using wastewaters enriched with NO3−-N and NH4+-N at varying carbon to nitrogen (C/N) ratios (1, 3, and 6). In the NO3−-N enriched systems, a positive correlation was observed between the C/N ratio and total nitrogen (TN) removal efficiency, which markedly increased from 13.46 ± 2.23% to 87.00 ± 2.37% as the C/N ratio escalated from 1 to 6. Conversely, in NH4+-N enriched systems, TN removal efficiencies in the A-6 setup (33.69 ± 4.83%) were marginally 1.25 to 1.29 times higher than those in A-3 and A-1 systems, attributed to constraints in dissolved oxygen (DO) levels and alkalinity. Microbial community analysis and metabolic pathway assessment revealed that anaerobic denitrification, microbial N assimilation, and dissimilatory nitrate reduction to ammonium (DNRA) predominated in NO3−-N systems with higher C/N ratios (C/N ≥ 3). In contrast, aerobic denitrification and microbial N assimilation were the primary pathways in NH4+-N systems and low C/N NO3−-N systems. A mass balance approach indicated denitrification and microbial N assimilation contributed 4.12–47.12% and 8.51–38.96% in NO3−-N systems, respectively, and 0.55–17.35% and 7.83–33.55% in NH4+-N systems to TN removal. To enhance N removal, strategies for NO3−-N dominated systems should address carbon source limitations and electron competition between denitrification and DNRA processes, while NH4+-N dominated systems require optimization of carbon utilization pathways, and ensuring adequate DO and alkalinity supply.

27 November 2023 in Bioresource Technology
Verified
Journal Article
Closed access
ZYZhengyu Yan
Zhengyu Yan
DCDahong Chen
Dahong Chen
YQYe Qiu
Ye Qiu
DLDongyi Li
Dongyi Li
CYChen Yan
Chen Yan
YFYujie FENG
Yujie FENG

29 December 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
YQYe Qiu
Ye Qiu
YFYujie Feng
Yujie Feng
ZYZhengyu Yan
Zhengyu Yan
Jiannan LiJiannan Li
Jiannan Li
DLDongyi Li
Dongyi Li
GLGuohong Liu
Guohong Liu

22 October 2022 in Bioresource Technology
Verified
Journal Article
Closed access
DLDandan Liang
Dandan Liang
WHWeihua He
Weihua He
CLChao Li
Chao Li
GLGuohong Liu
Guohong Liu
ZLZeng Li
Zeng Li
YFYujie Feng
Yujie Feng