恺骐 李

Dr. 恺骐 李


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

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

Representative Publications

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3 June 2026 in Water
Verified
Journal Article
Open access
PDF file
DLDeng Lichi
Deng Lichi
SZShuxiu Zhou
Shuxiu Zhou
恺李恺骐 李
恺骐 李
YLYu Li
Yu Li
HZHuinan Zhao
Huinan Zhao
ZZZhiwei Zhao
Zhiwei Zhao
Ultraviolet (UV) disinfection is widely used in municipal wastewater and reuse systems, yet its full-scale outcomes depend strongly on how fluence is delivered under real-water conditions rather than on nominal lamp output. This review consolidates the photochemical basis and plant-relevant limitations of UV disinfection, with emphasis on key factors such as matrix optics (e.g., UVT254, color, and turbidity/suspended solids) and particle shielding. Building from these constraints, UV-enhanced disinfection is examined as an engineering strategy that couples UV with oxidants or catalytic/physical processes to expand inactivation pathways and improve robustness in challenging effluents. Representative configurations have been reported (e.g., UV/free chlorine, UV/monochloramine) and are compared in terms of dominant reactive species and reaction networks, matrix dependence and scavenging effects, disinfection performance trends across microbial targets, and process-specific trade-offs including transformation products/disinfection byproducts, energy and chemical demands, and materials durability. Finally, practical considerations for implementation are summarized, including monitoring and control variables, validation approaches (e.g., biodosimetry, challenge testing), and operating windows that balance inactivation with risk and resource inputs, to support more reliable selection and operation of UV and UV-hybrid disinfection for water reuse.

30 January 2026 in Water
Verified
Journal Article
Open access
PDF file
恺李恺骐 李
恺骐 李
YLYuqi Liu
Yuqi Liu
YXYang Xiaojing
Yang Xiaojing
XCXin Chen
Xin Chen
LCLiu Chang
Liu Chang
ZZZiwen Zhao
Ziwen Zhao
Reducing nitrous oxide (N2O) emissions from biological wastewater treatment is critical for achieving low-carbon environmental goals. In this study, a Chlamydomonas reinhardtii -driven algal–bacterial granular sludge system was successfully established in a photo-sequencing batch reactor to enhance nitrogen removal while suppressing N2O generation. Compact granules formed within 48 days, exhibiting good settling ability (SVI5/SVI30 = 1.0), an average diameter of 0.5 mm, and a mixed-liquor suspended solid concentration of 2.1 g/L. Algal enrichment was confirmed by an increase in chlorophyll-a to 6.6 mg/g-VSS and substantial accumulation of protein-rich extracellular polymeric substances, which improved granule stability and mass transfer. The system achieved efficient pollutant removal when treating synthetic municipal wastewater, maintaining a chemical oxygen demand removal efficiency of approximately 90% and total nitrogen removal of up to 69.4%, with effluent NH4+-N consistently below 1.6 mg/L. Notably, the N2O emission factor decreased from 4.2 to 0.4 g N2O-N/kg N-removed, which is lower than that of conventional activated sludge processes. These results demonstrate the potential of microalgae-driven granulation as a promising low-carbon biotechnology for sustainable wastewater treatment.