Drinking water containing a high amount of ammonium-nitrogen (NH₄⁺-N) is not effectively removed by conventional treatment processes and can cause eutrophication. In this research, a composite adsorbent based on chitosan crosslink with zeolite molecular sieve (CTS-ZMS) was prepared for NH₄⁺-N removal through dynamic adsorption filter experiments. Effect of bed depth (30, 50 and 70 cm), flow rate (32, 49 and 65 mL/min), initial pH value (4.5, 6.5 and 8.5) and influent NH₄⁺-N concentration (3, 5 and 7 mg/L) was examined by using a filter column packed with CTS-ZMS particles. The Thomas model was applied to study the breakthrough curves and adsorption capacity. The optimal process parameters of the aforementioned factors were obtained at bed depth of 70 cm, flow rate of 32 mL/min, pH of 6.5 and initial NH₄⁺-N concentration of 7 mg/L. Scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS) and Fourier Transform Infrared Spectroscopy (FTIR) were investigated to analyze the structure and morphology of the CTS-ZMS adsorbents before and after 3 months running. The EDS and FTIR results showed Na⁺ and the active functional groups of -OH, -NH₂ and -COO⁻ on CTS-ZMS adsorbent particles reacted with ammonium nitrogen. The results of this study supported the use of CTS-ZMS to improve drinking water filtration processes by increasing ammonium nitrogen reductions.

Five dominant microorganisms including four kinds of Pseudomonas and one kind of Bacillus were isolated from the Songhua River. The organic pollutants removal potential and community composition of these five dominant microorganisms immobilized on activated carbon filter, which is called the bio-enhanced activated carbon filter (BEAC), were investigated to compare with the naturally formed biological activated carbon (BAC) filter. Songhua River was used as the raw water. The pilot scale test results showed the biomass in the BEAC filter increased initially and then stabilized after 45 d of operation with an average value of 192 nmolPO(4)/g carbon. The corresponding biological activity reached 1,368 ng ATP/g carbon. The gas chromatography-mass spectrometry (GC-MS) results showed that the BEAC filter degraded the toxic organic substances more effectively than the BAC filter, especially for halogenated hydrocarbons and PAHs (polycyclic aromatic hydrocarbons). Polymerase chain reaction (PCR) and denaturing gradient gel electrophoresis (DGGE) analysis revealed the eco-system of five dominant microorganisms did not change in the BEAC filter even on 180 d of operation. Two of the five dominant microorganisms, Bacillus subtilis and Pseudomonas balearica, had high biological activity and were more adaptable to the surface of the carbon media than the other three dominant microorganisms. The scanning electron microscope (SEM) photograph showed a large quantity of microorganisms developed on the BEAC filter. The toxicity test using Deltatox Bioassay Technology Analyzer indicated that the dominant microorganisms were safe to be applied in drinking water treatment process.

This study aimed to create a comprehensive evaluation method for sewage sludge (SS) treatment and disposal technologies, considering carbon emission and environmental impacts. Life cycle assessment (LCA) were conducted on six SS treatment and disposal technologies in China. The assessments used the IPCC emission factor approach to calculate carbon emissions and the CML2001 method to determine environmental impact factors. Additionally, a colour-coded method was implemented to quantify the evaluation results. The study found that S1 (anaerobic digestion + land application) had the lowest carbon emissions and environmental impact, making it the optimal technology. The S1 scenario had carbon emissions of 669 kg CO₂(t DS)^-1 and environmental impacts of 5.20E-10. A sensitivity analysis was conducted to show the impacts of each unit in the six technologies on total carbon emissions and environmental impacts. The results showed that landfilling has a high sensitivity to carbon emissions and environmental impacts. Therefore, controlling greenhouse gases and toxic substances in sludge landfills is crucial for reducing carbon emissions and environmental pollution.

Due to the irregular management, the effluent water of some waste water treatment plants (WWPT) of Liaoning province didn't meet the demand of the National Discharge Standard. Meanwhile, excessive of dosage and discharge of sludge made the results of operation costs increasing and environmental pollution during the processes. The use of mathematical models for the simulationof wastewater treatment processes has gained widespread acceptance as a tool to aid the design of newworks and the optimization of existing facilities. STOAT developed by the Water Research Center is the most widely used model for simulating the WWST processes. This paper invited the STOAT as simulation model for the design and optimization of Liaoning waste water treatment plant.

Poly-aluminium chloride (PAC) sludge is a waste product created during drinking water treatment, usually generated in large quantities and typically landfilled. More attention must be directed to environmental-friendly management and economically sustainable of Al-based sludge. In this work, a low-cost and environmental-friendly adsorbent prepared by sodium alginate coated PAC sludge (SPS) was investigated for fluoride removal. Basic preparing parameters including heating temperature (200–800°C), sodium alginate concentration (0.5–5 wt%), particle size (1–2 mm, 2–3 mm, 3–4 mm) and operating parameters including dosage (1–14 g/L), solution pH (4–11), temperature (10–35°C), co-existing anions (NO₃⁻, Cl⁻, SO₄^2-, PO₄^3-) were examined to evaluate the optimum defluoridation capacity. The prepared SPS adsorbents reached a high removal efficiency of 95.6% with initial fluoride concentration of 10 mg/L, dose of 8 g/L, contact time of 24 h, pH value of 7 and temperature of 10°C. The kinetic study indicated that fluoride adsorption followed the pseudo-second-order kinetics well (R² = 0.9942), and adsorption isotherms can be well described by Freundlich model (R² = 0.9952). Thermodynamic studies showed the fluoride adsorption was spontaneous and exothermic. The elements and functional groups of SPS adsorbents were analysed by using EDS and FTIR, respectively. The adsorption mechanism involved physisorption, ligand-exchange and electrostatic attraction. According to N₂ adsorption–desorption isotherm, the SPS was mesoporous material which facilitated the adsorption of fluoride ions. Also, aluminium presented in form of Al-OH in SPS adsorbents had significant contribution in fluoride adsorption. The concentration of the residual aluminium ions was 4.48 × 10⁻³ mg/L which is lower than the China Drinking Water Standard. The encouraging results of this preliminary study indicated that SPS is an environmental-friendly and cost-effective treatment option for groundwater with fluoride pollution.