长江经济带工业来源危险废物污染与处理特征分析及监管对策建议

依据2017年环境统计数据, 分析了长江经济带工业危险废物的污染及处理特征:长江经济带危废产生 量较大的省份是江苏、浙江、云南、湖南和四川;危废种类主要是来源于化工、钢铁、有色和造纸行业的废酸、有色金属冶炼废物、废碱和焚烧处置残渣;各地对危废的处理情况各有优劣。根据以上特征,提出加强对重点 区域的监管和调度,针对特定行业和危废种类,建议出台最佳可行的处理技术,建立区域之间危废管理大平台,促进区域危废处理优势互补和均衡发展,挖掘企业自行处理能力,减轻危废集中处理压力。     

Preliminary study on treatment of waste organic matter from livestock by bacteria-mineral technology

The present study dealt with relationships between the degradation and humification process that the organic matter underwent during bacteria-mineral technology.An inverse correlation was found between the protein,lipid,and some of the humification indices considered,suggesting that the humification theory is actually humic substances produced from simple-structured natural organic substrates.Weight-average molecular weight (Mw),number-average molecular weight(Mn),and the ratio Mw/Mn of dissolved organic matters at difierent stages of the process were measured by gel permeation chromatography.The results showed that Mn and Mw increased with reaction time from 352 to 17,191,and from 78,707 to 104,564,respectively.The ratio of Mn/Mw decreased from 223.3 to 6.1.This reflected the growth of the polymerization degree of dissolvable organic matters in the process;furthermore,it indicated the formation of complex molecules (humic substances) from more simple molecules.Bacteria-mineral water(BMW) (the effluent of the process) treatments can exert hormone-like activity for enhanced seed germination of wheat and rice and greatly improved chlorophyll synthesis in wheat and rice leaves.Major polyamines (plant regulators) putrescine,spermidine,and spermine,were found in BMW by a high performance liquid chromatography (HPLC) method,which may explain the hormone-like activity of BMW.     

An improved grey wolf optimizer algorithm for identification and location of gas emission

Identification of the leakage of hazardous gases plays an important role in the environment protection, human health and safety of industry production. However, lots of current optimization algorithms, such as particle swarm optimization (PSO) and Grey Wolf Optimizer (GWO), suffer from poor global optimization capability and estimation accuracy. In this work, a hybrid differential evolutionary and GWO (DE-GWO) algorithm is proposed. Tested by simulation cases and Prairie Grass emission experimental data, DE-GWO shows higher estimation accuracy than GWO. Compared with the other four optimization algorithms, DE-GWO exhibits finer robust stability under different population sizes, fewer iterations, as well as higher estimation accuracy with fewer search agents. Importantly, simulation results demonstrate that DE-GWO is more suitable to apply in the scene with a small number of sensors. Therefore, the proposed in this paper outperforms other optimization algorithms for the gas emission inverse problem. DE-GWO can provide reliable estimation towards gas emission identification and positioning, which shows huge potential as the data analysis module of real-time monitoring and early warning system.     

Design of a European agrochemical plastic packaging waste management scheme—Pilot implementation in Greece

Mismanagement of Agrochemicals Plastic Packaging Waste (APPW) constitutes a major environmental problem, resulting in the pollution of soil, air and water resources and compromising the agricultural products safety, the protection of the environment and the public health. Systems for the management of APPW have been established in some European countries and they are operational for several years now. However, these schemes are incompatible while their operational conditions and technical criteria could be improved. In many countries no schemes exist yet for the management of APPW with serious negative consequences for the environment and public health. In response to these problems the European project AgroChePack has developed an environmental friendly, economically viable European APPW management scheme by transferring know-how from existing schemes, designing a new integrated APPW management scheme and testing it through pilot trials in five countries. This work presents the basic design principles established by AgroChePack by identifying problems and bottlenecks faced by existing schemes in Europe, by developing an integrated APPW scheme and by implementing, evaluating and optimising this scheme through pilot trials in Greece.     

Fabrication of Bi-Bi3O4Cl plasmon photocatalysts for removal of aqueous emerging contaminants under visible light

Photocatalytic oxidation of emerging contaminants (ECs) in water has recently gained extensive attentions. In this study, bismuth oxychloride-based plasmon photocatalysts (Bi-Bi₃O₄Cl) exhibiting high performance were successfully developed by reducing Bi³⁺ on the surface of Bi₃O₄Cl. Consequently, the photocatalysts were used to remove ECs from water. The effects of developmental process and Bi metal plasmon resonance on the photoelectric performances of Bi-Bi₃O₄Cl were investigated through a series of characterizations. The UV-vis diffuse reflection and photoluminescence spectra revealed that the light absorption range of the photocatalyst gradually increased and the electron recombination rate gradually decreased with the introduction of Bi metals. The optimal removal rates of ciprofloxacin and tetrabromobisphenol A by Bi-Bi₃O₄Cl were 93.8% and 96.4%; the respective reaction rate constants were 5.48 and 4.93 times higher than that of Bi₃O₄Cl. The mechanism study indicated that main reactants in the photocatalytic system were •O₂⁻ radicals and photogenerated holes, and the existence of oxygen vacancies and Bi metals promoted electron transfer in photocatalyst. In conclusion, this research produces a novel, green, highly efficient, and stable visible light photocatalyst for the removal of ECs from water.