Investigation of PM2.5 pollution during COVID-19 pandemic in Guangzhou, China

The COVID-19 pandemic has raised awareness about various environmental issues,including PM_2.5 pollution.Here,PM_2.5 pollution during the COVID-19 lockdown was traced and analyzed to clarify the sources and factors influencing PM_2.5 in Guangzhou,with an emphasis on heavy pollution.The lockdown led to large reductions in industrial and traffic emissions,which significantly reduced PM_2.5 concentrations in Guangzhou.Interestingly,the trend of PM_2.5     

Glyphosate application increased catabolic activity of gram-negative bacteria but impaired soil fungal community

Environmental Science and Pollution Research - Glyphosate is a non-selective organophosphate herbicide that is widely used in agriculture, but its effects on soil microbial communities are highly...     

Distillers’ grains anaerobic digestion residue biochar used for ammonium sorption and its effect on ammonium leaching from an Ultisol

Environmental Science and Pollution Research - The aim of this work was to explore the potential application of biochar from distillers’ grains anaerobic digestion residue pyrolyzed at...     

基于大数据技术的硫黄回收装置尾气SO2达标优化方法研究

运用大数据技术,对硫黄回收装置的工艺运行参数数据及SO_2排放数据进行挖掘与分析,提取与SO_2排放浓度强相关的关键性操作变量,完成硫黄回收装置环保大数据建模,从而实现硫黄回收装置SO_2排放浓度的预测和预警,并自动生成当前工况下硫黄回收装置尾气SO_2达标优化方案。     

酸碱-微波耦合预处理对污泥胞外聚合物溶裂与产甲烷行为的影响

对酸碱-微波耦合预处理后不同EPS组分在污泥厌氧消化行为中扮演的角色进行研究,通过产甲烷潜能实验评价其甲烷转化性能。结果表明:酸碱-微波耦合预处理通过溶出胞内有机物和改变EPS的分布来影响污泥产甲烷行为。甲烷累积产量最优预处理条件为pH=10,微波500 W,预处理时间120 s。此时,预处理后溶解型胞外聚合物（S-EPS）中的溶解性化学需氧量（SCOD）浓度达到11460 mg/L,是对照组浓度的184.5%,累积甲烷产量为89.08 mL/g,较对照组增加59.9%。碱处理（pH=10和12）时,S-EPS对累积甲烷产量的贡献率分别达到了16.6%和30.4%,远高于松散结合型胞外聚合物（LB-EPS）与紧密结合型胞外聚合物（TB-EPS）。在48 d的厌氧消化过程中,S-EPS对产甲烷的贡献率在1~4 d内快速升高,随后缓慢持续下降。因此,酸碱-微波耦合预处理通过强化污泥S-EPS中的多糖、蛋白质等有机质的溶出,促进污泥甲烷化。     

Fuzzy programming method for multi-objective optimal allocation of sediment resources and the cooperative bargaining: a case study in Weishan irrigation area,China

The optimal allocation of sediment resources needs to balance three objectives including ecological, economic, and social benefits so as to realize sustainable development of sediment resources. This study aims to apply fuzzy programming and bargaining approaches to solve the problem of optimal allocation of sediment resources. Firstly, Pareto-optimal solutions of multi-objective optimization were introduced, and the multi-objective optimal allocation model of sediment resources and fuzzy programming model was constructed. Then, from the perspective of multiplayer cooperation, the optimal allocation model of sediment resources was transformed into a game model by using Nash bargaining, and Nash bargaining solution was obtained as the optimal equilibrium strategy. Finally, the influence of different disagreement utility points and bargaining weights on the results was discussed, and the results of Nash bargaining and fuzzy programming methods were compared and analyzed. Results corroborate that Nash bargaining can achieve the cooperative optimization of multiple objectives with competitive relationship and obtain satisfactory scheme. Disagreement utility points and bargaining weights have a certain impact on the optimization results. The solution of fuzzy programming is close to that of Nash bargaining, which provides different ideas for multi-objective optimization problem.

     

Evaluation of combined developmental neurological toxicity of di (n-butyl) phthalates and lead using immature mice

Environmental Science and Pollution Research - In this study, the immature mice were taken to assess the potential neurological toxicity of lead (Pb) and di (n-butyl) phthalates (DBP) combination...     

Impact of human activities on coastal groundwater pollution in the Yang-Dai River plain,northern China

Environmental Science and Pollution Research - Overexploitation of groundwater has resulted in seawater intrusion in many semiarid and arid coastal areas. This study illustrates the origin of...