响应面法优化黄粉虫幼虫处理餐厨垃圾饲养条件的研究

研究了黄粉虫幼虫处理餐厨垃圾的方法。首先在饲养温度、饲料含水量和饲养密度等条件下进行单因素实验,然后,以利用率为指标,运用响应面法优化了黄粉虫幼虫处理餐厨垃圾的饲养条件,结果表明,最佳饲养条件为饲养温度26.7℃、饲料含水量14.5%、饲养密度4.1头/cm2。在此饲养条件下,黄粉虫对餐厨垃圾利用率理论值为38.72%,实际餐厨垃圾利用率为38.88%,相对误差为0.41%,说明利用黄粉虫幼虫处理餐厨垃圾具有较好的效果。     

长江中游城市群经济-城市-社会-环境耦合度空间差异分析

以长江中游城市群的36个城市为例,构建了经济发展、城市化、社会保障、生态环境综合评价指标体系,运用耦合度模型评估了36个城市2011~2013年的耦合度,并利用GIS技术分析系统的得分与耦合度的空间分布特征。结果表明:长江中游城市群的36个城市的经济发展、城市化和社会保障水平的空间分布比较相似,三者间存在显著的正相关关系。但是,存在显著性的地区差异。36个城市生态环境得分均值很高,城市之间差异很小。从耦合度的空间分布来看,长江中游城市群明显存在3个高耦合度的聚集区域,即长株潭城市圈,武汉-南昌(含鄂州、黄石和九江)城市带和鄂北4市,即十堰、襄阳、宜昌和荆门。最后,36个城市之间耦合度的差异呈现逐年缩小的趋势。     

Performance of photocatalytic reactors using immobilized TiO2 film for the degradation of phenol and methylene blue dye present in water stream

TiO2 thin film photocatalyst was successfully synthesized and immobilized on glass reactor tube using sol-gel method. The synthesized TiO2 coating was transparent, which enabled the penetration of ultra-violet (UV) light to the catalyst surface. Two photocatalytic reactors with different operating modes were tested: (a) tubular photocatalytic reactor with re-circulation mode and (b) batch photocatalytic reactor. A new proposed TiO2 synthesized film formulation of 1 titanium isopropoxide: 8 isopropanol: 3 acetyl acetone: 1.1 H2O: 0.05 acetic acid (in molar ratio) gave excellent photocatalytic activity for degradation of phenol and methylene blue dye present in the water. The half-life time, t1/2 of photocatalytic degradation of phenol was 56 min at the initial phenol concentration of 1000 microM in the batch reactor. In the tubular photocatalytic reactor, 5 re-circulation passes with residence time of 2.2 min (single pass) degraded 50% of 40-microM methylene blue dye. Initial phenol concentration, presence of hydrogen peroxide, presence of air bubbling and stirring speed as the process variables were studied in the batch reactor. Initial methylene blue concentration, pH value, light intensity and reaction temperature were studied as the process variables in the tubular reactor. The synthesized TiO2 thin film was characterized using SEM, XRD and EDX analysis. A comparative performance between the synthesized TiO2 thin film and commercial TiO2 particles (99% anatase) was evaluated under the same experimental conditions. The TiO2 film was equally active as the TiO2 powder catalyst.     

Mn对超富集植物青葙Cd毒害的缓解效应

为了探究Cd胁迫下青葙中Mn的生理作用,通过水培实验,研究在Cd暴露下(0、5和25 μmol·L-1 )施加Mn(5、100和1 000 μmol·L-1 )对青葙的干重、叶绿素含量、Cd含量和青葙根部不同区域实时Cd2+流速的影响.结果表明,提高Mn的供应水平可缓解Cd对青葙生长的抑制效应.在Cd浓度为5 μmol...     

乌贼墨黑色素对Pb2+-Cu2+二元体系的吸附性能研究

为探索新型生物吸附剂，以乌贼墨黑色素（SIM）为吸附剂，研究Pb²⁺、Cu²⁺单组分溶液及Pb²⁺-Cu²⁺二元混合体系中SIM对Pb²⁺和Cu²⁺的吸附效果并构建等温吸附模型.结果表明，pH值、SIM添加量、吸附时间对SIM吸附Pb²⁺和Cu²⁺的吸附量影响较大，而吸附温度对吸附效果影响较小；单组分吸附与二元混合体系吸附对比表明，二元混合体系中Pb²⁺和Cu²⁺存在竞争吸附.应用L （Langmuir）和F （Freundlich）等温吸附模型拟合了SIM对Pb²⁺、Cu²⁺单组分金属离子的吸附过程，其中L模型与试验结果拟合度更高；应用Non-modified Langmuir、Modified Langmuir isotherm、Extended Langmuir、Extended Freundlich和SRS模型5种模型对Pb²⁺-Cu²⁺二元混合体系的等温吸附过程进行拟合，其中Extended Langmuir模型与试验结果拟合度最佳.应用红外光谱（FTIR）分析SIM吸附金属离子的原理时发现，SIM上羟基、-NH和不饱和键是金属离子的吸附位点，且SIM对Pb²⁺的吸附能力优于对Cu²⁺的吸附.     

Fe0/FeS2活化H2O2快速降解诺氟沙星

通过水热法成功制备具有磁性的Fe⁰/FeS₂复合铁基催化剂,并将其用于构建非均相芬顿体系降解典型的喹诺酮类抗生素(诺氟沙星,NOF)。SEM-Mapping 结果显示,制备的Fe⁰/FeS₂复合材料由Fe和S两种元素组成,形态为颗粒状且尺寸不一。XRD、XPS、Raman和磁学测量系统(VSM)等表征结果表明进一步证明Fe⁰/FeS₂复合材料的成功制备且具有良好的磁性。通过实验得到 Fe⁰/FeS₂/H₂O₂体系降解NOF最优的降解体系为初始pH为5,NOF起始质量浓度20 mg·L⁻¹,Fe⁰/FeS₂ 投加量为0.2 g·L⁻¹,H₂O₂质量浓度0.051 g·L⁻¹。Fe⁰/FeS₂介导的非均相芬顿体系可以快速降解NOF,10 min后的降解率为99.27%,且具有良好的重复利用性,使用 3 次后,NOF 的降解效率仍超过75%。NOF在羟基自由基(·OH)的作用下可能破坏C-F键以及实现哌嗪环和喹诺酮环的开环,最终生成一些小分子物质,如 F⁻、H₂O、CO₂和NO₃⁻等。     

磷钨酸光催化降解甲基橙溶液的研究

以磷钨酸为光催化刺，在紫外灯照射下。对模拟染料废水甲基橙溶液进行光催化降解，并研究了催化剂加入量、pH值、甲基橙初始浓度和外加氧化剂H2O2对光催化降解效果的影响。结果表明，磷钨酸光催化剂加入量为300mg／100mL，pH=2．5时，甲基橙溶液的降解率明显高于其他pH值的降解率；在较低浓度下，甲基橙溶液的光催化降解反应符合一级动力学方程；外加氧化剂H2O2可提高光催化反应速率。     

上海化学工业区土壤重金属元素形态分析

选取上海化学工业区土壤背景值样品，采用Tessier A连续提取法研究土壤中6种重金属元素的形态分布。研究结果表明，在该化工区土壤中，Cd主要以可交换态和铁锰氧化物结合态为主，分别占总量的41．5％和36．7％，说明元素Cd较活泼，具有潜在的环境影响能力，应该给予更多的关注；Cr、Cu、Ni和Zn等4种元素主要以有机结合态和残余态为主，两者分别占总量的41．4％、58．9％、31．4、32．5％和45．9％、31．5％、57．4％、52．3％；而Pb则主要以有机结合态形式存在，其占总量的87．8％；元素形态分析表明Cr、Cu、Ni、Zn和Pb这5种元素相对比较稳定。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

Assessment of regional ecological security based on ecological footprint and influential factors analysis: a case study of Chongqing Municipality,China

In recent years, it has been important to objectively evaluate the degree of regional ecological security with regard to resource depletion and to analyse influential factors to assess sustainable development. This paper tries to assess ecological security in Chongqing while investigating the main influencing factors. Calculations of the consumption footprint, production footprint and ecological capacity for Chongqing from 1996 to 2007 based on an ecological footprint approach were carried out. An ecological security index was also calculated from these results and factors influencing security were analysed using factor analysis. Both the consumption and production footprints present an upward trend, contrary to the gradually decreasing trend of ecological capacity. In addition, the ecological security index shows that Chongqing has deteriorated from a level of less risk to that of risk. Factor analysis suggests that the deterioration of ecological security could primarily be ascribed to socio-economic factors and industrialisation. With socio-economic development and industrialisation, appropriate measures must be taken to improve the ecosystem in Chongqing so as to achieve sustainable development. The limitations of the methodology are also discussed and areas that require further research are presented.