Evaluation of thermal reaction for two azo compounds by using 20-L apparatus and calorimetry

Azo compounds are widely involved in the industrial processes of dyes, pigments, initiators, and blowing agents. Unfortunately, these compounds have a bivalent unstable –NN– composition, which can be readily broken when the ambient temperature is elevated. Self-accelerating decomposition might cause a runaway reaction and lead to a fire, explosion, or leakage when the cooling system fails or other events occur. This study investigated the explosion properties, thermal stability parameters, and thermal hazard and mechanism of 2,2′–azobisisobutyronitrile (AIBN) and 2,2′–azobis–2–methylbutyronitrile (AMBN). We used a 20-L apparatus, vent sizing package 2, synchronous thermal analysis, and differential scanning calorimetry under explosive, adiabatic, and dynamic conditions to acquire the explosive curves, thermal curves, and thermodynamic parameters of the substances. Moreover, the differential isoconversional method (Friedman method) and ASTM E698 equation were employed to obtain the apparent activation energy E_a. All the experimental results revealed that AIBN is more dangerous than AMBN. The E_a of AIBN was lower than that of AMBN. The results can be used to construct an azo compound thermal hazard database for use for searches and reference examples by industry and related research areas.     

Fuzzy experts on recreational vessels, a risk modelling approach for marine invasions

Understanding risks from the human-mediated spread of non-indigenous species (NIS) is a critical component of marine biosecurity management programmes. Recreational boating is well-recognised as a NIS pathway, especially at a regional scale. Assessment of risks from this pathway is therefore desirable for coastal environments where recreational boating occurs. However, formal or quantitative risk assessment for the recreational vessel pathway is often hampered by lack of data, hence often relies on expert opinion. The use of expert opinion itself is sometimes limited by its inherent vagueness, which can be an important source of uncertainty that reduces the validity and applicability of the assessment. Fuzzy logic, specifically interval type-2 fuzzy logic, is able to model and propagate this type of uncertainty, and is a useful technique in risk assessment where expert opinion is relied upon. The present paper describes the implementation of a NIS fuzzy expert system (FES) for assessing the risk of invasion in marine environments via recreational vessels. The FES was based on expert opinion gathered through systematic elicitation exercises, designed to acknowledge important uncertainty sources (e.g., underspecificity and ambiguity). The FES, using interval type-2 fuzzy logic, calculated an invasion risk value (integrating NIS infection and detection probabilities) for a range of invasion scenarios. These scenarios were defined by all possible combinations of two vessel types (moored and trailered), five vessel components (hull, deck, internal spaces, anchor, fishing gear), two infection modes (fouling, water/sediment retention) and six frequently visited marine habitats (marina, mooring, farm, ramp, wharf, anchorage). Although invasion risk values determined using the FES approach was scenario-specific, general patterns were identified. Moored vessels consistently showed higher invasion risk values than trailered vessels. Invasion risk values were higher for anchorages, moorings and wharves. Similarly, hull-fouling was revealed as the highest infection risk mode after pooling results across all habitats. The NIS fuzzy expert system presented here appears as a valuable prioritising and decision-making tool for NIS research, prevention and control activities. Its easy implementation and wide applicability should encourage the development and application of this type of system as an integral part of biosecurity, and other environmental management plans.     

308 nm光作用下α-Fe2O3表面HNO3的光解

采用紫外可见光谱(UV-Vis)、傅立叶变换红外光谱(FTIR)及离子色谱(IC)技术对HNO3在α-Fe2O3表面暗反应和308nm下光解反应进行了研究.考察了时间、HNO3浓度、相对湿度(RH)等条件对反应的影响.结果表明,随着HNO3浓度、光照时间的增加,HNO3在气相与α-Fe2O3表面光解产物浓度均呈指数增加;HNO3在α-Fe2O3表面光解产生的NO2、NO分别为气相产生的3.27及3.87倍,而无论气相还是表面光解的NO2浓度均约为NO的2倍.随着RH的增加,HNO3光解产生的HONO的浓度随之呈指数增大,其产率从RH 20%时的0.023增加到90%时的0.087.α-Fe2O3的表面效应在HNO3的表面光解反应中起主导作用.     

长期暴露下纳米TiO2对厌氧颗粒污泥体系稳定性的影响

以厌氧颗粒污泥为研究对象,通过静态试验和连续流厌氧反应器,重点研究了长期暴露下纳米TiO_2在对厌氧产甲烷体系的影响及其在颗粒污泥中的归趋.结果表明,短期急性暴露于150 mg·g-1(以VSS计)的纳米TiO_2尽管会暂时减缓产甲烷速率,但产酸阶段及产甲烷阶段代谢产物总量不会明显受到影响,纳米TiO_2对厌氧颗粒污泥具有较低的急性毒性.反应器运行结果表明,纳米TiO_2的长期暴露可导致挥发性脂肪酸(VFAs)积累及生物气产量降低,产酸菌比产甲烷菌对纳米TiO_2的累积效应更加敏感,纳米TiO_2抑制机制可归因于"物理遮蔽"作用.出水中TiO_2的平均含量只有0.632 mg·L~(-1),绝大多数纳米TiO_2都被截留在了反应器中.FISH检测表明,厌氧颗粒污泥微生物的菌群结构有所变化,纳米TiO_2在反应器内的积累使得甲烷八叠球菌的丰度大幅增加了115.6%,其优势地位明显增强.长短期暴露试验的结果对比也说明,用短期暴露试验来说明纳米颗粒对厌氧体系的长期累积效应具有一定局限性,纳米TiO_2对厌氧颗粒污泥中微生物的负面影响需要较长时间的积累才会显现.本研究结果可为厌氧污水处理体系中纳米颗粒的潜在生态风险评价提供理论支持和参考依据.     

磷酸盐对亚硝化系统的抑制及恢复

通过接种城镇污水处理厂的污泥,采用连续流反应器启动亚硝化系统并改变进水磷酸盐的浓度,研究了不同磷酸盐浓度对亚硝化系统的影响.结果表明经过14 d的运行,亚硝化系统启动成功,氨氮转化率达到92.2%,亚硝酸盐累积率为73.66%,亚硝酸盐产生速率达到14.42 g·(m~3·d)~(-1).磷酸盐浓度在10~30 mg·L~(-1)时对亚硝化系统的影响并不大;随着磷酸盐浓度持续提高,氨氮转化率在不断降低.当磷酸盐的浓度为80 mg·L~(-1)时,系统的氨氮转化率为13.6%,亚硝酸盐累积率仅18.19%,亚硝酸盐产生速率仅0.54 g·(m~3·d)~(-1),亚硝化反应受到严重抑制.将进水磷酸盐浓度降低到0,经过14 d运行,亚硝化系统获得恢复,且氨氮转化率可以达到80%以上,亚硝酸盐累积率达到86.96%,亚硝酸盐产生速率为15.63g·(m~3·d)~(-1).     

高铁酸钾对水中藻类及其次生嗅味污染物二甲基三硫醚同步去除研究

模拟高藻期碱性水源水,采用高铁酸钾对水中以颤藻和二甲基三硫醚为代表的藻类及微量嗅味污染物进行同步控制研究.在高铁酸钾与聚合氯化铁(PFC)单独混凝对藻类的控制效果对比的基础上,展开了高铁酸钾与高锰酸钾预氧化-PFC联用方法对藻类及嗅味污染物的控制效果对比,探讨了pH、预氧化时间和浊度等条件对控制效果的影响.结果表明,PFC单独混凝除藻率最高为90.6%,以Fe计的等量投加条件下,高铁酸钾控藻效果较PFC混凝好,除藻率可达92.4%.高锰酸钾对PFC具有强化混凝效果,可明显提高除藻率(94.5%).高铁酸钾较高锰酸钾预氧化对二甲基三硫醚的去除效果理想,且氧化时间大大缩短,高铁酸钾氧化时间1 min可去除92.5%二甲基三硫醚,高于高锰酸钾预氧化10 min后达到的去除率(74.6%).     

常规施肥条件下农田不同途径氮素损失的原位研究:以长江中下游地区夏玉米季为例

为了解农田常规施肥条件下的不同途径氮素损失特征,本文通过田间原位试验同步研究了长江中下游地区夏玉米生长季氮肥施用后的农田N2O排放、NH3挥发、氮渗漏和地表径流的变化.结果表明,在复合肥为基肥,尿素为追肥,基追肥氮素水平均为150 kg·hm-2的条件下,整个玉米生长季N2O排放系数为3.3%,NH3挥发损失率为10.2%,氮渗漏和地表径流损失率分别为11.2%和5.1%.此外,基肥施用以氮素渗漏损失为主,而追肥氮素损失以氨挥发和渗漏为主,表明不同途径化肥氮素损失主要受氮肥品种影响,玉米季追肥可改用低氨挥发氮肥品种以减少氮素损失.     

β-In2S3的制备及其太阳光下降解土霉素

利用水热反应法制备β-In2S3纳米颗粒光催化剂,并利用SEM、TEM和XRD等对其进行分析表征;采用土霉素溶液模拟四环素类抗生素废水,探讨In2S3对土霉素的降解效果.结果表明,β-In2S3为立方相纳米颗粒结构,该纳米颗粒由纳米片组成,直径约15~30 nm.以太阳光为辐射光源,In2S3对土霉素具有良好的光催化降解效果,在4 h内对初始浓度为30 mg·L-1的土霉素降解率可达98%以上.降解土霉素后的催化剂在无水乙醇中清洗并烘干,经4次循环利用后,β-In2S3的降解能力仍能达到85%以上,表明β-In2S3光催化剂具有良好的稳定性以及光催化活性.     

微生物燃料电池改性阳极处理PTA废水

探讨了不同改性阳极对微生物燃料电池(microbial fuel cell,MFC)产电性能及其对MFC处理难降解废水能力的影响.以单室空气阴极为基础,利用0.1 g电气石、质量分数75%二氧化锰/埃洛石纳米管(manganese bioxide/halloysite nanotube,MnO_2/HNT)和多壁碳纳米管-羧基(multi-walled carbon nanotube-carboxyl,MWCNT-COOH)对MFC阳极进行修饰.结果表明,不同改性阳极的MFC对含精对苯二甲酸(purified terephthalic acid,PTA)废水的去除率均高于70%,且化学需氧量(chemical oxygen demand,COD)去除率在79%以上.相较于其他几种改性阳极,以MWCNT-COOH改性材料作阳极的MFC产生的最大输出电压最高,获得的最大功率密度最高,分别为529 mV和252.73 mW·m~(-2).     

港口罢工对周边空气质量的影响

港口污染物的排放浓度极大地影响着周边的空气质量,以2013年3月28日香港国际集装箱码头发生的罢工事件为契机来探究港口运作短暂的瘫痪对周边空气质量的影响。首先,进行污染物之间的相关性分析确定影响本次罢工事件的污染物主要为NO_2、NO_x、SO_2以及O_3。其次,基于罢工前、罢工期间以及罢工后污染物排放的浓度变化,进行横向对比发现罢工期间的污染物确实有一定程度的减少。再次,利用纵向对比排除四季带来的影响探究不同年份同一阶段污染物浓度的变化情况评估罢工期间的空气质量。最后,以NO_2为例建立预测模型对罢工期间的NO_2浓度进行预测,根据实际值与预测值之间的差异来说明罢工影响了NO_2的预测趋势。这项研究主要强调港口空气质量对整个环境的影响,在一定程度上说明政府实施政策的有效性,为政府提供了决策支持,同时也要注重污染物之间的相互转化作用对环境的影响。