MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

Biological removal of air loaded with a hydrogen sulfide and ammonia mixture

The nuisance impact of air pollutant emissions from wastewater pumping stations is a major issue of concern to China. Hydrogen sulfide and ammonia are commonly the primary odor and are important targets for removal. An alternative control technology, biofiltration, was studied. The aim of this study is to investigate the potential of unit systems packed with compost in terms of ammonia and hydrogen sulfide emissions treatment, and to establish optimal operating conditions for a full-scale conceptual design. The laboratory scale biofilter packed with compost was continuously supplied with hydrogen sulfide and ammonia gas mixtures. A volumetric load of less than 150 gH2S/(m^3.d) and 230 gNH3/(m^3.d) was applied for about fifteen weeks. Hydrogen sulfide and ammonia elimination occurred in the biofilter simultaneously. The removal efficiency, removal capacity and removal kinetics in the biofilter were studied. The hydrogen sulfide removal efficiency reached was very high above 99%, and ammonia removal efficiency was about 80%. Hydrogen sulfide was oxidized into sulphate. The ammonia oxidation products were nitrite and nitrate. Ammonia in the biofilter was mainly removed by adsorption onto the carrier material and by absorption into the water fraction of the carrier material. High percentages of hydrogen sulfide or ammonia were oxidized in the first section of the column. Through kinetics analysis, the presence of ammonia did not hinder the hydrogen sulfide removal. According to the relationship between pressure drop and gas velocity for the biofilter and Reynolds number, non-Darcy flow can be assumed to represent the flow in the medium.     

Influence of osmotic distillation on membrane absorption for the treatment of high strength ammonia wastewater

Osmotic distillation (OD) was found to be a coupled process in membrane absorption (MA) for the treatment of high strength ammonia wastewater. As a result, ammonia could not be concentrated in absorption solution(AS) as expected. The inhibition of the coupled OD in MA process was investigated as well as various factors affecting the inhibition. The results indicated that the coupled OD can be effectively inhibited by heating concentrated solution and cooling dilute solution. It was also found that experimental minimum inhibition temperature difference(MITD) between concentrated and dilute solutions was different when using polyvinylidene fluoride(PVDF) and polypropylene(PP) membranes respectively, which could be ascribed to material properties, such as OD and membrane distillation (MD) coefficients of the membranes. Experimental MITDs were found to be higher than theoretical MITDs which were calculated using a simplified method.     

UV-catalytic treatment of spent caustic from ethene plant with hydrogen peroxide and ozone oxidation

The performance of UV/H2O2, UV/O3 and UV/H2O2/O3 oxidation systems for treating spent caustic from an ethylene plant was investigated, in UV/H2O2 system, with the increase of H202 dosage, removal efficiencies of COD and the ratio of biochemical oxygen demand(BOD) to chemical oxygen demand(COD) of the effluent were increased and a better performance was obtained than the H2O2 system alone. In UV/H2O2 system, removal efficiency of COD reach 68% under the optimum condition, and BOD/COD ratio was significantly increased from 0.22 to 0.52. In UV/O3 system, with the increase of O3 dosage, removal efficiency of COD and BOD/COD ratio were increased, and a better performance was obtained than the O3 system alone. Under the optimum condition, removal efficiency of COD was 54%, and BOD/COD ratio was significantly increased from 0.22 to 0.48. In UV/H2O2/O3 system, COD removal efficiency was found to be 22.0% higher than UV/O3 system.     

Dissimilatory reduction of FeIII (EDTA) with microorganisms in the system of nitric oxide removal from the flue gas by metal chelate absorption

In the system of nitric oxide removal from the flue gas by metal chelate absorption, it is an obstacle that ferrous absorbents are easily oxidized by oxygen in the flue gas to ferric counterparts, which are not capable of binding NO. By adding iron metal or electrochemical method, Fe^Ⅲ (EDTA) can be reduced to Fe^Ⅱ(EDTA).However, there are various drawbacks associated with these techniques. The dissimilatory reduction of Fe^Ⅲ(EDTA) with microorganisms in the system of nitric oxide removal by metal chelate absorption was investigated. Ammonium salt instead of nitrate was used as the nitrogen source, as nitrates inhibited the reduction of Fe^Ⅲ due to the competition between the two electron acceptors. Supplemental glucose and lactate stimulated the formation of Fe^Ⅱ more than ethanol as the carbon sources. The microorganisms cultured at 50~C were not very sensitive to the other experimental temperature, the reduction percentage of Fe^Ⅲ varied little with the temperature range of 30-50℃.Concentrated Na2 CO3 solution was added to adjust the solution pH to an optimal pH range of 6-7. The overall results revealed that the dissimilatory ferric reducing microorganisms present in the mix-culture are probably neutrophilic, moderately thermophiUc Fe^Ⅲ reducers.     

安全管理基础数据的统计分析

本文阐述了通过对安全管理基础数据的统计分析,研究企业在某一时期或阶段的安全生产状况,从中发现规律、认识问题,以此来制定相应的有针对性的安全管理措施,抑制事故和不安全现象的发生,推动企业的安全管理工作。     

苯酚强降解菌的筛选及温度对降解的影响

以江油市某以石油为原料生产甲醇的甲醇厂污水处理站污泥和分析纯苯酚为原料,通过富集培养,涂布平板法(Spread plate method)和平板划线法(Streak plate method)进行菌株分离,并采用不断加大苯酚质量浓度的方法对PD2菌株置于34 ℃、150 r/min的摇床上进行振荡驯化培养,得到以苯酚为唯一碳源,能降解高酚浓度的优势降酚菌.PD2菌株经过6代驯化后的试验表明: 该菌58 h对质量浓度为1 100 mg/L苯酚的降解率达98.6%,58 h对质量浓度为1 400 mg/L苯酚的降解率达94.3%,60 h对质量浓度为2 200 mg/L苯酚的降解率达83.6%.说明一定范围内提高苯酚的质量浓度可以提高PD2菌株降解苯酚的酶的活性.在不同温度下观察菌株的生长及对苯酚的降解情况,结果表明,该菌最佳降解苯酚温度为34 ℃.     

废弃电器电子产品POPs/PTS减排环境管理实践研究

全球环境基金(GEF)"通过环境无害化管理减少电器电子产品的生命周期内持久性有机污染物和持久性有毒化学品(POPs/PTS)的排放全额示范项目"湖北省作为项目示范省之一.三家废弃电器电子产品拆解企业,分别开展了废弃电器电子产品拆解技术示范、湿法废弃印刷电路板处置BAT/BEP技术示范、利用再生铅连续熔炼炉协同处置阴极射线管含铅锥玻璃项目技术示范.电子废弃物全自动化分类与拆解生产线,为电子废弃物绿色循环与资源化提供了示范模式.     

3种染料化合物在UV-TiO2/H2O2和UV-TiO2体系中的光催化降解研究

采用自制的TiO2膜和平板式固定床型光催化氧化反应装置,对甲基橙、茜素红和罗丹明B 3种含有不同生色基团的染料化合物进行了TiO2光催化氧化降解研究,通过对照测定降解过程中吸光度、电导率、pH的变化,分析了在加入和不加入H2O22种情况下降解过程的异同,比较了3种染料化合物脱色的难易程度,揭示了降解产物中无机离子的变化规律及某些可能的产物类型.     

Degradation characteristics and metabolic pathway of 4-nitrophenol by a halotolerant bacterium Arthrobacter sp. CN2

Arthrobacter sp. strain CN2, capable of degrading 4-nitrophenol, was isolated from activated sludge. Degradation of 4-nitrophenol was optimized at pH 7.7, 30?°C, and 0.53% of glucose. Salt tolerance of 4-nitrophenol degradation was as high as 6% (w/v). Several biodegradation intermediates were identified and quantified by high-performance liquid chromatography and mass spectrometry. 4-Nitrocatechol is involved in the degradation of 4-nitrophenol by CN2. Scale-up of 4-nitrophenol degradation was conducted in a bioreactor with different salinity. When the salinity was below 7%, the degradation rate of 4-nitrophenol was above 90% (100 mg L^?1, 3 L).