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Showing 24 of 1398 peer-reviewed translated articles (Page 18 of 59)

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Behavior and Mechanism of Uranium Removal from Acidic Uranium-Contaminated Groundwater by Sandstone Particle/Hydroxyapatite Composite

Graphical AbstractVerified

Chinese Journal of Environmental Engineering2026

Behavior and Mechanism of Uranium Removal from Acidic Uranium-Contaminated Groundwater by Sandstone Particle/Hydroxyapatite Composite

Acidic in-situ leaching of sandstone-type uranium deposits leaves residual acid and uranium in groundwater, posing environmental risks. This study investigated the feasibility of loading hydroxyapatite (HAP) onto aquifer sandstone particles for in-situ remediation. Sandstone particles were collected from an aquifer and reacted with a HAP-generating solution for 52 days to produce sandstone/HAP composite. Batch experiments examined the effects of initial pH, initial uranium concentration, composite dosage, and interfering ions on uranium removal. Results showed successful HAP loading on sandstone surfaces. At initial pH 3, uranium concentration 5 mg/L, composite dosage 3 g/L, and 24 h reaction, uranium removal reached 95.6%. Interfering ions suppressed removal in the order Fe3+ > Mn2+ > Ca2+ > Mg2+ > SO4^2-. Removal mechanisms included electrostatic adsorption, ion exchange, and dissolution-reprecipitation, with good stability of immobilized uranium. This work validates the concept of in-situ HAP loading in aquifers and provides a basis for practical application in acidic uranium-contaminated groundwater remediation.

Read Full Abstract10.12030/j.cjee.202506019

Construction of a VIKOR Composite Index-Based Probabilistic Prediction Model for Urban Water Blackening and Odor Recurrence Using Multi-Method Feature Selection

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Chinese Journal of Environmental Engineering2026

Construction of a VIKOR Composite Index-Based Probabilistic Prediction Model for Urban Water Blackening and Odor Recurrence Using Multi-Method Feature Selection

The construction of predictive models for the recurrence of blackening and odor in urban water bodies has become a critical foundation for refined management of urban water environments. Based on water quality monitoring data from 16 cities in the Yangtze River Basin from 2020 to 2023, this study systematically evaluated six typical comprehensive index calculation methods and proposed a probabilistic prediction model for water blackening and odor recurrence centered on the VIKOR composite index. Through sampling analysis and literature review, a power-law relationship between transparency (y) and turbidity (x) was established (y = 3.12x−0.66), leading to a critical turbidity threshold of 46.9 NTU for blackening and odor. Using ANOVA, recursive feature elimination, and random forest, five indicators—turbidity, dissolved oxygen (DO), total phosphorus (TP), permanganate index (CODMn), and ammonia nitrogen (NH3-N)—were selected as the model's indicator system, with importance ranking: turbidity > DO > TP > CODMn > NH3-N. The VIKOR composite index exhibited the most robust mapping relationship with blackening probability, achieving high accuracy (RMSE = 0.029, MAE = 0.020) and consistency (NSE = 0.918, R2 = 0.918), whereas models based on other indices yielded R2 values below 0.84. The model demonstrated good predictive performance across the Yangtze, Pearl, Haihe, and Yellow River basins. This model offers a universal decision-making tool for precise identification, early warning, and targeted management of water blackening and odor recurrence, with potential integration into urban water smart platforms.

Read Full Abstract10.12030/j.cjee.202507062

Interpretation and Implementation Recommendations for the Technical Specification for Comprehensive Utilization of Titanium Gypsum (GB/T 45015-2024)

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Chinese Journal of Environmental Engineering2026

Interpretation and Implementation Recommendations for the Technical Specification for Comprehensive Utilization of Titanium Gypsum (GB/T 45015-2024)

To facilitate accurate understanding and implementation of the provisions in the Technical Specification for Comprehensive Utilization of Titanium Gypsum (GB/T 45015-2024), and to promote technological capability in comprehensive utilization while effectively controlling environmental risks during utilization, this paper analyzes the current status and existing problems of titanium gypsum generation, management, and utilization technologies in China. The standard is systematically interpreted. It is concluded that the implementation of this standard will promote resource utilization of titanium gypsum, foster energy conservation and carbon reduction in the titanium dioxide industry, and further safeguard ecological and environmental security. China produces over 3,120×10^4 t of titanium gypsum annually (2023), yet its comprehensive utilization rate is only about 10%, far lower than that of phosphogypsum (~40%) and desulfurization gypsum (~80%). The standard, as the first national standard dedicated to titanium gypsum resource utilization, establishes technical pathways for building materials and ecological restoration, sets limits for soluble impurities, and specifies pollution control indicators throughout the utilization process. It addresses the long-standing gaps in technical standards, product quality variability, and environmental supervision, providing critical support for the green and low-carbon transformation of the sulfuric acid process titanium dioxide industry.

Read Full Abstract10.12030/j.cjee.202506010

Adaptability of Machine Learning Prediction Models for Chlorine Consumption to Monitoring Frequency of Residual Chlorine in Wastewater Treatment Plants

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Chinese Journal of Environmental Engineering2026

Adaptability of Machine Learning Prediction Models for Chlorine Consumption to Monitoring Frequency of Residual Chlorine in Wastewater Treatment Plants

In many Chinese wastewater treatment plants (WWTPs), residual chlorine is still manually monitored at low frequencies, leading to imprecise disinfectant dosing. This study systematically compared four machine learning models—backpropagation (BP) neural network, long short-term memory (LSTM) neural network, random forest (RF), and support vector regression (SVR)—for predicting chlorine consumption (i.e., the difference between chlorine dose and residual chlorine) during non-monitoring periods under different residual chlorine monitoring frequencies (every 1, 2, 4, 6, and 8 h). Using data from Plant A (equipped with online residual chlorine monitoring) and Plants B and C (manual monitoring every 6 h and 8 h, respectively), input variables included online water quality indicators (temperature, flow, NH3-N, CODCr, TP, TN) and chlorine dose. Results showed that at 1-h intervals, LSTM achieved the highest prediction accuracy; at 2–4-h intervals, RF performed best; at 6-h or lower frequencies, BP was superior; SVR performed worst across all frequencies. Validation on Plants B and C confirmed BP's optimal performance under low-frequency conditions, and particle swarm optimization (PSO) significantly improved its accuracy. These findings provide a basis for selecting appropriate machine learning models for chlorine consumption prediction under varying monitoring frequencies, particularly low-frequency manual monitoring, thereby supporting precise disinfectant dosing control.

Read Full Abstract10.12030/j.cjee.202507054

Performance and Microbial Mechanisms of Aerobic Granular Sludge for Textile Dyeing Wastewater Treatment

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Chinese Journal of Environmental Engineering2026

Performance and Microbial Mechanisms of Aerobic Granular Sludge for Textile Dyeing Wastewater Treatment

This study investigated the cultivation of aerobic granular sludge (AGS) in a sequencing batch reactor (SBR) for the treatment of real textile dyeing wastewater, focusing on the influence of organic loading rate (OLR) on granulation and pollutant removal. After 60 days of cultivation, dense granules of approximately 1 mm diameter were formed, with extracellular polymeric substances (EPS) content of 92.22 mg·L−1, achieving COD and color removal efficiencies of 88.5% and 73.3%, respectively. OLR significantly regulated sludge characteristics: at an OLR of 3.0 kg·(m3·d)−1, the average granule size reached a maximum of 1.38 mm, EPS content peaked at 95.21 mg·g−1, and the highest COD and color removals were observed (92.73% and 86.35%, respectively). However, an excessive OLR of 5.0 kg·(m3·d)−1 led to sludge bulking and disintegration. Microbial community analysis revealed that Proteobacteria (44.06%–49.17%) and Bacteroidetes (27.49%–29.64%) were the dominant phyla, with their abundances significantly correlated with EPS protein secretion and pollutant removal efficiency. This study elucidates the mechanism by which OLR optimizes textile wastewater treatment through modulation of microbial community structure and EPS secretion, providing a theoretical basis and technical support for the practical application of AGS in textile dyeing wastewater treatment.

Read Full Abstract10.12030/j.cjee.202507041

Application of Immobilized White Rot Fungi in the Treatment of Anaerobic Digestion Sludge

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Chinese Journal of Environmental Engineering2026

Application of Immobilized White Rot Fungi in the Treatment of Anaerobic Digestion Sludge

Anaerobic digestion sludge (ADS) contains recalcitrant organic matter and exhibits poor dewaterability, posing challenges for disposal. This study evaluated the immobilization of white rot fungi (WRF) on four carriers—polyvinyl alcohol, cotton thread, wood chips, and sodium alginate—for ADS treatment. Cotton thread immobilization yielded the earliest and most sustained enzyme activity, highest biomass retention, and minimal biomass loss. WRF treatment achieved a 10.09% removal of total chemical oxygen demand (TCOD) and significantly disrupted extracellular polymeric substances (EPS), selectively degrading soluble EPS. To maintain fungal activity, periodic carrier replacement was required. Compared to the control, the experimental group showed an 8.9 mg·L−1 reduction in total protein and polysaccharide content in soluble EPS, a 27.33% decrease in capillary suction time (CST), and improved sludge dewaterability. These results demonstrate the potential of WRF for ADS treatment.

Read Full Abstract10.12030/j.cjee.202507059

Thermoelectric Generator-Driven Electrodeposition for Efficient Treatment of Low-Concentration Copper-Containing Wastewater

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Chinese Journal of Environmental Engineering2026

Thermoelectric Generator-Driven Electrodeposition for Efficient Treatment of Low-Concentration Copper-Containing Wastewater

Industrial processes generate substantial low-grade waste heat and cold, which can be harnessed via thermoelectric generators (TEGs) based on the Seebeck effect. However, the low-voltage output of TEGs poses application challenges. This study investigates a TEG-driven electrodeposition system for efficient treatment of low-concentration copper-containing wastewater from electroplating, integrated circuit, and energy industries. The TEG system, comprising two series-connected semiconductor modules, achieved a maximum power of 0.36 W at a temperature difference (ΔT) of 130 °C. Optimal operating parameters for the coupled system were determined: ΔT = 90 °C, counter-current flow (two-side inlet), flow rate of 20 mL·min⁻¹, initial Cu²⁺ concentration of 500 mg·L⁻¹, and electrode gap of 0.7 cm. Under these conditions, after 60 min of electrodeposition, copper removal efficiency reached 99.42%, current efficiency was 67.93%, and the energy conversion efficiency of the TEG-electrodeposition system was 36.96%. The system also treated real copper-containing wastewater, achieving 95.83% removal within 100 min. Characterization via SEM, XRD, and XPS revealed that the electrodeposited product consisted of metallic copper and cuprous oxide, with metallic copper accounting for approximately 60%. This work provides a promising approach for utilizing industrial waste heat and cold to achieve low-energy, high-efficiency treatment of heavy metal wastewater.

Read Full Abstract10.12030/j.cjee.202508004

Erratum: Correction of Co-First Author's Chinese Name in 'A Multi-Modal Smart Chest Patch for Real-Time Cardiopulmonary Monitoring and Anomaly Detection'

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SCIENCE CHINA Materials2026

Erratum: Correction of Co-First Author's Chinese Name in 'A Multi-Modal Smart Chest Patch for Real-Time Cardiopulmonary Monitoring and Anomaly Detection'

This erratum corrects an error in the Chinese name of co-first author Tianxiao Xiao (肖天孝) as originally published in the article 'A multi-modal smart chest patch for real-time cardiopulmonary monitoring and anomaly detection' (Sci China Mater, 2025, 68(12): 4413–4422). The corrected Chinese name is 肖天笑. The correction applies solely to the author's name and does not affect the scientific content, experimental data, or conclusions of the original paper. The authors and publisher apologize for any inconvenience caused.

Read Full Abstract10.1007/s40843-025-3912-0

Integrated Barrier and Anti-Seepage Technology for Iron Tailings Pond: Application and Environmental Evaluation

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Chinese Journal of Environmental Engineering2026

Integrated Barrier and Anti-Seepage Technology for Iron Tailings Pond: Application and Environmental Evaluation

This study addresses the deficiencies in material and structural stability and the singular evaluation system in iron tailings pond pollution remediation. Based on an integrated design-construction-evaluation concept, we developed a three-dimensional anti-seepage system incorporating iron tailings sand-bentonite mixtures and a composite liner structure. The system was applied to an actual remediation project in Qichun County, Hubei Province, China, covering an area of 18.72×10^4 m^2 with 43.42×10^4 m^3 of tailings. Theoretical calculations of leachate generation, material testing, and structural optimization were performed. The optimized mixture achieved a permeability coefficient (k) reduction from 10^-4 cm/s to 10^-8 cm/s as bentonite content increased from 0% to 9%, meeting the engineering standard of k≤10^-7 cm/s. A novel 'pre-embedded pipe + expansion bolt' technique enhanced sealing at structural nodes. Post-remediation monitoring showed significant reductions in heavy metal concentrations in surrounding farmland soil (11.14%–72.41% decrease), all below risk screening values. Iron (Fe) and chromium (Cr) interception rates reached 97.17% and 96.76%, respectively. The Nemerow comprehensive pollution index dropped from 2.39 (moderate pollution) to 0.62 (no pollution), and the potential ecological risk index decreased from 288.50 (moderate risk) to 148.73 (slight risk), representing a reduction of 1–3 pollution levels. The project achieved a 2.78% increase in tailings resource utilization and a 4.71% reduction in engineering cost. This integrated technical system provides a viable approach for tailings pollution control and sustainable waste management.

Read Full Abstract10.12030/j.cjee.202507036

Synergistic Composting of Urban and Rural Multi-Source Organic Waste and Product Quality Evaluation: A Case Study of a Treatment Center in the Taihu Lake Region

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Chinese Journal of Environmental Engineering2026

Synergistic Composting of Urban and Rural Multi-Source Organic Waste and Product Quality Evaluation: A Case Study of a Treatment Center in the Taihu Lake Region

Urban and rural multi-source organic waste faces bottlenecks including high compositional heterogeneity, single resource recovery pathways, and uneven product quality. In the Taihu Lake region, active tourism and catering, high greening, and dense water networks generate large volumes of diverse waste with high moisture content, exacerbating these issues. This study evaluated a coupled bio-drying and aerobic composting process at a demonstration center in Linhu Town, Suzhou, Jiangsu Province, employing a three-stage control strategy: gradient dewatering, high-temperature stabilization, and maturation enhancement. Continuous operation showed that kitchen waste moisture content decreased from 77.70% to 58.69% after 1 day of bio-drying, to 23.22% after 7 days of silo reactor composting, and to 17.70% after at least 20 days of maturation. The aerobic composting phase maintained temperatures above 55°C for over 5 days, reaching a maximum of 68.1°C, meeting the harmless treatment requirements of CJJ 52—2014. After 20 days of maturation, the organic fertilizer product had an electrical conductivity below 4.00 mS·cm−1, organic matter content of 51.22%, total nutrient content of 5.61%, and heavy metal concentrations below the limits of NY/T 525—2021. The results provide technical support for efficient treatment and resource utilization of urban and rural organic waste.

Read Full Abstract10.12030/j.cjee.202506041

Health Risk Assessment of Heavy Metals in Soil Around a Landfill Based on Monte Carlo Simulation

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Chinese Journal of Environmental Engineering2026

Health Risk Assessment of Heavy Metals in Soil Around a Landfill Based on Monte Carlo Simulation

The accumulation of heavy metals in soil around municipal solid waste landfills poses potential risks to human health. This study selected a municipal solid waste landfill and monitored the concentrations of eight heavy metals (Zn, Pb, Cd, Ni, Hg, Cu, As, Cr) in surrounding soil. The geo-accumulation index method was used for pollution assessment, and a health risk assessment model recommended by the USEPA, combined with Monte Carlo uncertainty analysis, was employed to evaluate the pollution status and health risks to nearby residents. Results showed that among the eight metals, Pb, Ni, and Cd exceeded risk screening values at 4.26%, 6.38%, and 4.26% of sampling points, respectively. Geo-accumulation indices indicated overall clean conditions (mean < 0), but slight pollution by Pb, Zn, Ni, Hg, and Cd at some points. Probabilistic risk assessment based on Monte Carlo simulation revealed that for both adults and children, the cumulative non-carcinogenic risk was negligible, while carcinogenic risk was acceptable. However, there was a very low probability (approximately 0.2%) of non-carcinogenic risk for children, and probabilities of unacceptable carcinogenic risk were 0.64% for adults and 3.21% for children. Nickel was the primary contributor to carcinogenic risk, and children faced higher health risks than adults. These findings provide a reference for pollution prevention and health risk management of soil around municipal solid waste landfills.

Read Full Abstract10.12030/j.cjee.202507021

Differences in Root Surface Iron Plaque Components between Main and Ratoon Crops of Different Rice Varieties and Their Effects on Cadmium Accumulation in Brown Rice

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Chinese Journal of Environmental Engineering2026

Differences in Root Surface Iron Plaque Components between Main and Ratoon Crops of Different Rice Varieties and Their Effects on Cadmium Accumulation in Brown Rice

To elucidate the seasonal variation in cadmium (Cd) accumulation in ratoon rice and its relationship with root surface iron plaque, this study compared Cd concentrations in brown rice and the characteristics of iron plaque components (amorphous Fe, Am-Fe; crystalline Fe, Cry-Fe) between the main and ratoon crops of six rice varieties under different stubble heights. A field experiment was conducted in a Cd-contaminated paddy in Liuyang, Hunan (soil total Cd: 0.56 ± 0.06 mg·kg⁻¹). Ratoon crop treatments included low stubble (20 cm) and high stubble (60 cm). Brown rice Cd concentrations varied by variety, season, and stubble height. Low stubble generally increased brown rice Cd in the ratoon crop compared to high stubble; high stubble reduced Cd in most varieties relative to the main crop. Health risk assessment indicated that low stubble in the ratoon crop posed higher non-carcinogenic risk than the main crop and high stubble, while carcinogenic risks exceeded acceptable levels across all treatments. Iron plaque Am-Fe and Cry-Fe concentrations in the ratoon crop were generally lower than in the main crop, with Am-Fe consistently exceeding Cry-Fe. In the main crop, total Fe, Am-Fe, and Cry-Fe on root surfaces were significantly negatively correlated with brown rice Cd (P < 0.05), but correlations were not significant in the ratoon crop. High stubble reduced Cd accumulation and non-carcinogenic risk in most varieties, yet carcinogenic risk remained. Iron plaque significantly impeded Cd uptake in the main crop but its effect weakened in the ratoon crop. Selecting low-Cd-accumulating varieties and optimizing stubble height are key strategies for safe ratoon rice production in Cd-contaminated areas.

Read Full Abstract10.12030/j.cjee.202506021

Multi-objective optimization of high-quality lithium extraction from lepidolite roasting based on neural network coupled modeling

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Chinese Journal of Environmental Engineering2026

Multi-objective optimization of high-quality lithium extraction from lepidolite roasting based on neural network coupled modeling

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.

Read Full Abstract10.12030/j.cjee.202506020

Simplified Estimation of Indoor Air Quality Based on Material Pollutant Emission Rates and Concentration Responses

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Chinese Journal of Environmental Engineering2026

Simplified Estimation of Indoor Air Quality Based on Material Pollutant Emission Rates and Concentration Responses

To enhance the engineering practicality of pollutant pre-assessment, this study conducted environmental chamber tests for formaldehyde and TVOC emissions from 34 common decoration materials (25 solid and 9 liquid categories). Using the IndoorPACT software, variations in indoor pollutant concentrations under different material area loading rates and air change rates were simulated. Taking Harbin as a case study, concentration response ranges for various single materials under different area loading and ventilation conditions were simulated, leading to the construction of a simplified concentration prediction reference table. Results indicate that indoor pollutant concentrations from both solid and liquid materials peak on the second day after decoration, but decay rates differ significantly: liquid materials decrease by 70%–90% within about one week, and given their typically higher area loading rates in real projects, they exert a more significant impact on indoor air quality in the early post-decoration period. In contrast, solid materials decay more slowly and become the dominant long-term pollution source. The simplified estimation method based on these emission characteristics demonstrates good engineering applicability, providing effective reference for material selection, scheme comparison, and preliminary indoor air quality prediction and control in actual decoration projects.

Read Full Abstract10.12030/j.cjee.202507038

Field Real-Time Monitoring of Ammonia Nitrogen in Different Water Bodies Using GPMCS

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Chinese Journal of Environmental Engineering2026

Field Real-Time Monitoring of Ammonia Nitrogen in Different Water Bodies Using GPMCS

Ammonia nitrogen (NH3-N) is a common water pollutant that can induce eutrophication and threaten aquatic ecosystems and human health. Accurate monitoring is essential for water safety. This study applied a self-developed gas-permeable membrane-based conductivity sensor (GPMCS) for real-time in-situ monitoring of NH3-N in two water bodies. In the Qunying River (surface river water), GPMCS captured concentration fluctuations linked to pump operations and sewage intrusion, with mean inlet and outlet concentrations of 4.67 and 3.42 mg/L, respectively. In Swan Lake (landscape aquaculture water), concentrations reached up to 11.16 mg/L, with site means of 6.42 and 7.04 mg/L, influenced by aquaculture activities, weather, and location. GPMCS results correlated strongly with national standard methods (r1=0.8132, r2=0.7483), confirming accuracy and reliability. Compared to existing techniques, GPMCS offers high selectivity, strong anti-interference, portability, no sample pretreatment, low cost, and environmental friendliness, making it suitable for long-term in-situ monitoring. This technology provides robust support for sustainable water environment management.

Read Full Abstract10.12030/j.cjee.202507027

Low-Temperature Micro-Oxidation-Driven Synergistic Dealkalization and Soil Reconstruction of Red Mud with Coal

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Chinese Journal of Environmental Engineering2026

Low-Temperature Micro-Oxidation-Driven Synergistic Dealkalization and Soil Reconstruction of Red Mud with Coal

Red mud, a highly alkaline industrial solid waste from alumina production, poses severe environmental risks due to its high alkalinity, low organic matter content, and poor aggregation, which critically impede its soil reconstruction and ecological utilization. This study proposes a novel approach of low-temperature micro-oxidation to drive the synergistic soil reconstruction of red mud and coal. By constructing a low-temperature micro-oxidation atmosphere, the soil properties of the reaction products were investigated, the decomposition and reconstruction of alkaline minerals and alkali release were analyzed, and the oxidation of carbon-based minerals and organic matter transformation in coal were examined. The mechanism of the synergistic reaction between red mud and coal under low-temperature micro-oxidation was elucidated. Results showed that at 250 °C under micro-oxidation, the pH of the product decreased to 8.47, organic matter content increased to 12.98%, and the proportion of aggregates >0.250 mm increased. Alkaline minerals such as cancrinite and grossular in red mud underwent decomposition and reconstruction in the low-temperature hydrothermal environment, releasing substantial free alkali. The condensed aromatic rings of carbon-based minerals in coal were oxidized by free radicals, leading to ring-opening and bond cleavage, producing small-molecule organic acids and macromolecular humic acids. The continuous oxidation of carbon-based minerals in coal generated acids, which neutralized the alkali released from red mud, driving sustained dealkalization. The inorganic particles of red mud flocculated with macromolecular humic acids, forming micro-aggregates and significantly improving soil properties. This research provides technical support for the rapid ecological utilization of red mud at industrial scale.

Read Full Abstract10.12030/j.cjee.202506053

Spectrophotometric Method for Rapid Determination of As(V) and As(III) in Industrial Wastewater

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Chinese Journal of Environmental Engineering2026

Spectrophotometric Method for Rapid Determination of As(V) and As(III) in Industrial Wastewater

Arsenic is a toxic metalloid predominantly present in water as As(V) and As(III), whose speciation governs toxicity and mobility. Conventional speciation methods (HPLC-ICP-MS, IC-HG-AFS) offer ultralow detection limits but suffer from high cost, long analysis times, and non-portability, hindering on-site rapid monitoring. This study presents a sulfide-based spectrophotometric method exploiting the quantitative reaction between As(V) and S2− to form monothioarsenate (H3AsO3S) with a characteristic absorption at 233 nm. Under optimized conditions (H+ concentration 1 mol·L−1, Na2S dosage 5 mmol·L−1, reaction time 3 min, N2 purging 2 min), As(V) is directly quantified. Total arsenic is determined after complete oxidation of As(III) to As(V) using NaClO (10 mmol·L−1, pH 12, 5 min), and As(III) is obtained by difference. The method exhibits linearity over 0.5–50 mg·L−1 (A = 0.0209c + 0.0627, R² = 0.999), a detection limit of 0.17 mg·L−1, spike recoveries of 101.9%–104.1%, and relative standard deviation of 1.06%. Validation against real industrial wastewater samples showed relative deviations <10% compared with HPLC-ICP-MS and IC-HG-AFS. Total analysis time is within 15 min. The method is simple, cost-effective, and suitable for field monitoring.

Read Full Abstract10.12030/j.cjee.202507030

Emission Reduction Effects and Costs of Energy Policies under Carbon Neutrality Pathways in Guangdong Province

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Chinese Journal of Environmental Engineering2026

Emission Reduction Effects and Costs of Energy Policies under Carbon Neutrality Pathways in Guangdong Province

To mitigate global warming, regional carbon neutrality pathways are critical. Based on the Guangdong Energy Policy Simulator (EPS) model, this study simulates total energy consumption and greenhouse gas (GHG) emissions under baseline, Carbon Neutral 60 (CN60), and Carbon Neutral 50 (CN50) scenarios, and analyzes the emission reduction effects and costs of various energy policies. Results show that by 2060, total energy consumption under CN60 and CN50 decreases by 39% and 44% relative to baseline, respectively. Primary electricity and other energy, natural gas, oil, and coal account for 56%, 26%, 14%, and 4% under CN60, and 60%, 24%, 13%, and 3% under CN50. GHG emissions under CN60 drop to 80×10^6 tCO2e by 2060, an 89% reduction from 2020; under CN50, emissions reach 92 and 55×10^6 tCO2e in 2050 and 2060, respectively, reductions of 87% and 92% from 2020. Policies such as increasing clean electricity share, industrial electrification (hydrogen), increasing green power purchases, building electrification, F-gas reduction, and improving industrial energy efficiency standards show significant reduction effects, with clean electricity share being the primary source. Policies like improving industrial energy efficiency standards, increasing industrial product utilization, and increasing clean energy vehicle market penetration are cost-effective; increasing clean electricity share, green power purchases, building electrification, and F-gas reduction effectively balance reduction effects and costs. Industrial electrification (hydrogen) contributes >5% cumulative reduction but faces economic challenges for full-scale promotion in the short term; industrial carbon capture and storage and electrolytic hydrogen contribute <2% cumulative reduction with high costs. Therefore, Guangdong should prioritize cost-effective policies, promote balanced policies, gradually optimize energy structure, achieve clean electricity, and foster green industrial transformation to achieve carbon neutrality at lower economic cost.

Read Full Abstract10.12030/j.cjee.202507032

Thermal Steel Ball-Enhanced Rotary Drum Drying of Sludge: Drying Characteristics, Moisture Diffusion Behavior, and Mechanisms

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Chinese Journal of Environmental Engineering2026

Thermal Steel Ball-Enhanced Rotary Drum Drying of Sludge: Drying Characteristics, Moisture Diffusion Behavior, and Mechanisms

Municipal sludge with high moisture content and strong viscosity tends to form a dense crust during conventional rotary drum drying, reducing heat and mass transfer efficiency and prolonging drying time. This study proposes a thermal steel ball-enhanced rotary drum drying method that introduces high heat capacity, high thermal conductivity steel balls to achieve synergistic contact heat conduction and mechanical disturbance. An evaluation system incorporating dimensionless moisture ratio (MR), drying rate (DR), characteristic drying time (tdry), effective moisture diffusivity (Deff), and volumetric evaporation intensity (U) was established. Results show that compared with conventional drying, steel ball-enhanced drying increased maximum drying rate (DRmax) by 22.59%–41.19%, U by 38.06%–93.43%, and shortened tdry by 27.56%–48.30%, with more pronounced advantages under high load conditions. Deff was significantly higher throughout the process, with maximum increase up to 48.30%, indicating that ball rolling and collision effectively disrupt the crust and promote moisture migration. Mechanistic analysis reveals that the performance enhancement arises from the dual action of thermal-mechanical coupling and mechanical disturbance, which enhances local heat flux via contact conduction and dynamically renews the drying interface, shortening diffusion paths. This study elucidates the heat and mass transfer mechanisms of thermal steel ball-enhanced sludge drying, providing theoretical support and technical reference for efficient sludge volume reduction and dryer design optimization.

Read Full Abstract10.12030/j.cjee.202507043

Environmental Risk Assessment of Aerated Concrete Prepared by Synergistic Utilization of Incineration Fly Ash and Multi-Source Solid Wastes

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Chinese Journal of Environmental Engineering2026

Environmental Risk Assessment of Aerated Concrete Prepared by Synergistic Utilization of Incineration Fly Ash and Multi-Source Solid Wastes

This study systematically evaluates the environmental risks associated with the resource utilization of municipal solid waste incineration (MSWI) fly ash in the production of aerated concrete, co-prepared with multiple solid wastes. The focus is on the leaching behavior and total content of heavy metals (Cr, Pb, Cd, Cu, Zn) under CO2 curing and chelating agent stabilization. Water washing pretreatment parameters (liquid-to-solid ratio, washing time, ash-to-slag ratio) were optimized for chloride removal. Results demonstrate that CO2 curing suppresses the leaching of most metals; leaching concentrations of Cr, Pb, Cd, and Zn decrease with reduced fly ash content, whereas Cu leaching increases when fly ash is absent. The addition of 17.5% organic sulfur stabilizer (DTC) significantly outperforms inorganic sulfide (Na2S) in immobilizing heavy metals, achieving compliance with national standards without compromising compressive strength or carbon sequestration. Water washing effectively reduces soluble chloride content to below 1% (mass fraction), meeting the HJ 1134-2020 regulatory limit. Optimal parameters include a liquid-to-solid ratio of 5, washing time of 20 min, and a raw material ratio of incineration bottom slag:fly ash:slag = 40:20:40. Under these conditions, the final product exhibits a compressive strength of 1.50 MPa, with heavy metals and soluble chlorides fully compliant. This work provides key technical support for the safe recycling of MSWI fly ash in building materials.

Read Full Abstract10.12030/j.cjee.202507029

Dynamic Ammonia Emission Patterns and Recovery from Growing-Finishing Pig Houses

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Chinese Journal of Environmental Engineering2026

Dynamic Ammonia Emission Patterns and Recovery from Growing-Finishing Pig Houses

This study investigated the dynamic characteristics and recovery of ammonia emissions from a growing-finishing pig house in Yanshi District, Luoyang City, Henan Province, China. High-sensitivity electrochemical sensors and an ammonia absorption recovery device were employed for continuous monitoring and treatment of exhaust air. The results revealed periodic fluctuations in ammonia emission concentrations, strongly correlated with indoor temperature and humidity. Over the entire monitoring period, the average daily ammonia concentration in exhaust air was 9.852 mg·m−3, below the national emission limit of 25 mg·m−3. However, during high-temperature periods (>30 °C), localized concentrations reached 38.36 mg·m−3. Humidity, particularly from spray cooling, temporarily suppressed ammonia volatilization, but its effect was modulated by temperature. Total ammonia emitted during the study was 1380.4 kg, with an average per-pig emission rate of 0.034 kg·d−1. After treatment with the exhaust gas absorption device, the average daily ammonia concentration dropped to 0.437 mg·m−3, achieving a mean recovery efficiency of 93.5%. These findings demonstrate that controlling environmental factors and employing external air absorption devices can significantly reduce ammonia emissions, offering a viable pathway for mitigating nitrogen pollution from livestock operations and promoting resource recovery.

Read Full Abstract10.12030/j.cjee.202507051

Preparation and Engineering Scale-Up of Cyanobacteria-Based Columnar Activated Carbon

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Chinese Journal of Environmental Engineering2026

Preparation and Engineering Scale-Up of Cyanobacteria-Based Columnar Activated Carbon

The production of activated carbon from waste biomass such as cyanobacteria from Lake Taihu represents a promising resource utilization route. However, existing studies are mostly confined to laboratory scale, and the gap between laboratory processes and industrial production hinders the evaluation of technical feasibility and economic viability. This study optimized the process for producing cyanobacteria-based columnar activated carbon by co-processing cyanobacteria with garden waste (sawdust), and validated the process on an engineering-scale production line with a daily capacity of 5 t of raw materials. Economic feasibility was also assessed. Results showed that the optimized activated carbon exhibited a particle strength of 91.3% and a specific surface area of 571.44 m2·g−1. The engineering-scale line processed 5 t of raw materials daily, yielding approximately 1.18 t of activated carbon with stable quality: strength of 94.3% and specific surface area of 471.42 m2·g−1, featuring a microporous-dominant structure with coexisting micropores and mesopores. Cost analysis indicated a production cost of 3,595.65 CNY per ton of activated carbon, demonstrating favorable economic benefits. This work provides a basis for larger-scale production and application of cyanobacteria-based activated carbon.

Read Full Abstract10.12030/j.cjee.202506031

Carbon Footprint Accounting Method for Electromechanical Products Based on Life Cycle Assessment

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Chinese Journal of Environmental Engineering2026

Carbon Footprint Accounting Method for Electromechanical Products Based on Life Cycle Assessment

Addressing the insufficient applicability and accuracy of carbon footprint accounting for electromechanical products due to data gaps, this study proposes an accounting method based on life cycle assessment (LCA). Using LCA as the overall framework with a system boundary of "cradle to gate", the method constructs a carbon footprint accounting approach combining substitution algorithms and correction coefficients for different data missing scenarios from suppliers, manufacturers, and databases. Data quality indicators and Monte Carlo simulation are employed to quantify data quality and uncertainty, while single-factor and multi-factor sensitivity analyses identify key influencing factors. Taking an optical gyrocompass as a case study, the carbon footprints and uncertainties under eight typical data missing scenarios are explored, and robustness checks are conducted on five typical products including transformers, high-speed diesel engines, and wind turbines. As data missing degree deepens, the carbon footprint deviation of the optical gyrocompass increases from 0.05% to 3.03%, and uncertainty rises from 2.65% to 5.45%. Under mixed data missing scenarios, the carbon footprint uncertainties of all five electromechanical products remain below 10%. The method exhibits wide applicability, strong implementability, and high accuracy, effectively supporting carbon footprint accounting for electromechanical products, reducing carbon tariff risks, optimizing emission reduction strategies, and promoting green development.

Read Full Abstract10.12030/j.cjee.202507046

Recent Advances in Carbon-Based Materials for CO2 Capture and Utilization

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Journal of Fuel Chemistry and Technology2026

Recent Advances in Carbon-Based Materials for CO2 Capture and Utilization

CO2 capture and utilization (CCU) technologies are critical for mitigating global warming and promoting resource circularity. Carbon-based materials, with tunable pore structures, abundant active sites, high specific surface area, and excellent chemical stability, show significant potential for CO2 capture and conversion. This review systematically analyzes the adsorption behaviors and performance variations of activated carbon, porous carbon, graphene, and carbon nanotubes in CO2 capture. For utilization, recent advances in catalytic applications for methanation, reverse water-gas shift (RWGS), dry reforming of methane (DRM), and alcohol synthesis are emphasized. The benefits and drawbacks of carbon materials regarding adsorption capacity, catalytic activity, and stability are evaluated, and their potential in integrated CCU technologies is discussed. Key strategies for enhancing performance through structural modulation and surface modification are elucidated. This review provides theoretical guidance for future development and large-scale implementation of carbon-based materials in CCU.

Read Full Abstract10.1016/S1872-5813(25)60604-9