个人简介
硕士，参与陕西省重点研发项目底泥重悬抑藻实验。南水北调中线工程专题四项目的重要参与者
教育经历
硕士-市政工程 | 长安大学
本科-市政工程 | 安阳工学院
代表性论文
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024 Using bio-based CaCO3 functionalized sediment to simultaneously remove algae and COD through adsorption and sedimentation in water source reservoirs
In-situ turbidity enhancement can suppress algal growth in reservoirs but often exacerbates chemical oxygen demand (COD) accumulation due to incomplete organic removal. This study presents a biologically synthesized bio-CaCO~3~-modified sediment, engineered via Bacillu s-induced carbonate precipitation, to simultaneously control algae and reduce COD. The material forms 15–30 nm core–shell clusters with enriched –OH/–COOH groups and mesopores (~19.76 nm), confirmed by SEM, XRD, FTIR, and BET (+1.02 m2 g-1). Adsorption tests against Microcystis aeruginosa, Chlorella, and Limnothrix showed Langmuir-type monolayer binding (R2 > 0.97) and pseudo-second-order kinetics. XDLVO theory and DFT analysis revealed strong EPS–Bio-CaCO~3~ interactions ($\Delta E_\text{AB}$ = 31.28 mJ m-2; $\Delta E_\text{ads}$ = –1.07 ev). Optimal conditions (7.5 wt% CaCO~3~, 56% residual Ca2+, 85 min) achieved 93.8% Chl-a removal, 88.6% COD reduction, and 87.5% turbidity control (R2 = 0.98), with minimal Ca2+ leaching. By integrating chemisorption, interfacial adhesion, and pore confinement, this material provides a stable, eco-friendly strategy for dual pollutant control and in-situ sediment remediation.
Turbid waters clear, / Bio-CaCO₃ binds the green, / Clean lake, calm and still. -
023 Cyanobacterial crowding-out effects on metabolite partitioning: modeling 2-methylisoborneol (MIB) release dynamics and implications
2-甲基异莰醇（MIB）是一种强效蓝藻代谢物，在痕量浓度下即可通过异味问题影响饮用水水质。尽管其影响显著，但MIB的胞内动力学及环境释放机制仍鲜有研究。我们通过对两种产毒菌株的受控实验，建立了一个生长阶段依赖的MIB释放机理模型。该模型揭示，胞外MIB比例（$f = e_{MIB}/t_{MIB}$）遵循一致模式：在对数生长中期降至最低，随后在稳定期上升并稳定在0.4至0.6之间，表明拥挤诱导的细胞裂解驱动了释放动态。将该模型应用于太湖，成功重构了2022-2023年间的两次异味事件，阐明了MIB生产者时空动态，并确定了在中等光照（0.1-0.4 mol m⁻² d⁻¹）下约15°C和>30°C的关键风险阈值——这些模式是常规监测无法发现的。我们的研究结果表明，生理阶段转换而非仅生物量积累控制着异味物的释放。该框架可扩展至其他藻类代谢物（如土臭素、蓝藻毒素），提供更广泛的预测能力。通过将细胞过程与水质风险相关联，我们的方法能够实现对蓝藻污染物的主动管理，为早期预警系统和氧化剂类型优化的运行指导提供信息，以防止藻细胞中有害化合物的大规模释放。
A scent on the water, / Born from a crowded cell's burst, / A warning grows cold.
DOI