Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202506020
The rotary kiln roasting of lepidolite for lithium extraction faces challenges of unstable lithium conversion rates and high energy consumption. To address this, a multi-objective optimization method coupling improved neural network simulation with a multi-objective genetic algorithm was proposed, targeting the synergistic optimization of lithium conversion rate (TRLi) and natural gas consumption intensity (EIng). Using long-term industrial time-series data of batching parameters and kiln operating variables, back-propagation (BP) neural network and its particle swarm optimization (PSO) improved variant were developed to model TRLi and EIng. The PSO-BP model demonstrated superior accuracy in capturing the complex nonlinear relationships, reducing mean absolute percentage errors (MAPE) to 0.278 and 0.284 for TRLi and EIng, respectively. Subsequently, the non-dominated sorting genetic algorithm II (NSGA-II) was employed to construct a multi-objective optimization model, yielding a Pareto-optimal set of process parameters that maximize TRLi and minimize EIng. The results revealed that under NSGA-II optimized conditions, TRLi could be stabilized between 82.45% and 87.96%, an average increase of 3.61 percentage points over baseline operations, while EIng could be reduced to 53.7 m3 per ton of clinker. For an annual processing capacity of 3.2×105 tons of lepidolite concentrate and sulfate mixture, this corresponds to an additional 127.1 tons of lithium metal recovery, a reduction of 1,964,912 m3 in natural gas consumption, and a decrease of 3,763.84 tons in CO2 emissions annually. This study provides theoretical and technical support for the green, high-quality, and low-carbon supply of critical raw materials for the lithium battery new energy industry.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605013
The escalating eutrophication of aquatic systems has intensified algal blooms, leading to substantial release and accumulation of algal-derived dissolved organic matter (ADOM), which profoundly influences carbon cycling and pollutant transport. Iron minerals, particularly ferrihydrite, are recognized as critical mediators of DOM sequestration, yet the adsorption fractionation of ADOM under varying environmental conditions remains poorly understood. This study systematically investigated the effects of pH (2.0–10.0) and initial dissolved organic carbon (DOC) concentration (2–100 mg C/L) on the adsorption capacity and selectivity of ADOM onto ferrihydrite, employing UV-Vis spectroscopy and excitation-emission matrix fluorescence with parallel factor analysis (EEM-PARAFAC). Results demonstrated that adsorption capacity increased with pH from 2.0 to 7.0, reaching a maximum of 21.59 mg C/g at pH 7.0, followed by a decline at pH > 7.0 due to enhanced electrostatic repulsion. Within the environmentally relevant pH range of 3.0–9.0, selective fractionation intensified with increasing pH, favoring highly aromatic, high-molecular-weight chromophoric DOM (CDOM) and protein-like/aromatic amino acid fluorescent DOM (FDOM) with high humification and autochthonous characteristics. With increasing initial DOC concentration, adsorption exhibited non-linear growth, with preferential uptake of low-aromaticity, high-molecular-weight CDOM and protein-like FDOM of lower humification and stronger autochthonous features. These findings elucidate that ferrihydrite can effectively sequester reactive ADOM components via pH- and concentration-dependent selective adsorption, potentially altering DOM composition and reactivity in eutrophic waters, thereby providing fundamental data for understanding iron mineral-mediated internal carbon sequestration.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025032704
Chlorogenic acid (CGA), a key component of the anti-COVID drug Lianhua Qingwen, is recalcitrant to biodegradation and tends to bioaccumulate, posing risks to aquatic ecosystems. Conventional water treatment methods are inadequate for its removal. This study investigated the degradation of CGA using a magnetic field coupled Fe-C activated persulfate (MF/Fe-C/PS) advanced oxidation process. The degradation efficiencies of Fe-C, PS, Fe-C/PS, and MF/Fe-C/PS systems were compared, and the dominant reactive species and their contributions were identified. The effects of initial pH, persulfate (PS) concentration, Fe-C dosage, and inorganic anions on degradation kinetics were examined, along with the degradation pathway and disinfection byproduct (DBP) formation potential. Results showed that MF/Fe-C/PS achieved 99% degradation of CGA within 60 min under optimal conditions: pH=3, PS concentration 1.5 mmol·L−1, and Fe-C dosage 0.4 g·L−1. Coexisting Cl−, Br−, and I− inhibited CGA oxidation to varying degrees, as did natural organic matter (FA and BAS). The reactive species SO4−·, ·OH, and 1O2 contributed 41.6%, 30.5%, and 27.9%, respectively. Degradation mechanisms included hydrolysis, dehydroxylation, decarboxylation, and benzene ring cleavage. Pre-oxidation by MF/Fe-C/PS significantly reduced the DBP formation potential during subsequent chlorination/chloramination. Energy per order (EE/O) analysis indicated favorable economic efficiency.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511050
Municipal solid waste (MSW) management in Inner Mongolia has long relied on landfilling, facing land scarcity and leachate management challenges. This study addresses the region's dry, cold climate, high proportion of agricultural and livestock waste, fluctuating moisture content, and weak leachate treatment capacity. An engineering optimization was implemented on an 80 t·d−1 vertical rotary gasification-incineration system featuring a dual-combustion-chamber design (primary chamber for medium-temperature pyrolysis-gasification at 550–650 °C and secondary chamber for high-temperature oxidation above 900 °C), coupled with in-situ leachate recirculation. Field measurements showed improved processing capacity and continuous operation stability. Under the project's leachate yield, in-situ recirculation achieved on-site disposal without significant adverse effects on gasification-incineration conditions, providing buffering against moisture fluctuations. During the monitoring period, major gaseous pollutant emissions remained below current national standards. The results provide engineering references for the co-processing and stable operation of small-scale county-level MSW treatment facilities.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026030601
Bisphenol A (BPA), a high-volume industrial chemical, is implicated in neurotoxicity and chronic neurodegenerative diseases. This study integrates network toxicology, molecular docking, and molecular dynamics simulations to systematically delineate the common mechanisms linking BPA to Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD). Using the human astrocyte cell line SVGP12 as an in vitro model, we identified six key toxic functional proteins—TP53, HSP90AA1, HSP90AB1, INS, BCL2, and AKT1—that mediate BPA's effects across these diseases, with BCL2 emerging as the most central node. Experimental validation demonstrated that BPA induces oxidative stress and cell cycle arrest, suppresses the INS-AKT1-BCL2 anti-apoptotic pathway, and activates the TP53-HSP90 pro-apoptotic pathway, culminating in mitochondrial apoptosis of astrocytes and disruption of neural microenvironment homeostasis. These findings reveal a convergent mechanism by which BPA accelerates neurodegeneration, filling a critical gap in understanding BPA's role in AD, PD, and HD. The study provides a novel theoretical framework and experimental evidence for BPA neurotoxicity risk assessment and informs preventive and therapeutic strategies for BPA-related neurodegenerative disorders.