废水中甲醇分析方法的研究

建立了废水中甲醇的3种分析方法,毛细管柱气相色谱法、填充柱气相色谱法和变色酸分光光度法。测定废水中甲醇浓度相对标准偏差分别为1．45％,2．93％,3．61％,平均回收率分别为100．88％,98．19％,97．62％。实验结果表明：3种方法能较好对应,其中毛细管柱气相色谱法灵敏度最高,方法检出限为0．05mg／L。     

微波预处理和微生物联合煤炭脱硫技术初探

将微波技术应用于微生物法煤炭脱硫,研究了煤粉粒径、煤浆浓度、初始pH值、嗜酸氧化亚铁硫杆菌(Acidithiobacillus ferrooxidans)接种量、微波辐照时间、脱硫周期等因素对微波预处理和微生物联合脱硫效果的影响,同时以单纯Acidithiobacillus ferrooxidans煤炭脱硫作对照.在煤样粒径为200目(＜0.074 mm)、煤浆浓度为10%、初始pH为2.5、菌体接种量为10%、微波辐照时间3 min、脱硫周期4 d、温度30℃、摇床转速为160 r/min条件下,微波预处理和微生物联合作用对煤炭中全硫的脱除率可达51.3%.该结果表明,微波预处理和微生物联合煤炭脱硫技术可以大大缩短微生物脱硫周期.该研究结果可为开发新脱硫工艺提供参考.     

旧烟度卡的烟度值R_b与新烟度标准烟度值S_F之间的关系

目前我国已发布实施了一些新烟度排放、测量和仪器标准,并规定烟度符号采用ＳＦ,烟度单位为ＦＳＮ。但由于尚未发布实施新的标准烟度卡,而仍然使用旧的标准烟度卡（烟度值为Ｒｂ）,因此给烟度测量造成了一定的误差。本文论述了旧标准烟度卡烟度值Ｒｂ与新标准烟度值ＳＦ之间的关系     

Biosorption of copper ions from dilute aqueous solutions on base treated rubber (Hevea brasiliensis) leaves powder: kinetics, isotherm, and biosorption mechanisms

The effciency of sodium hydroxide treated rubber (Hevea brasiliensis) leaves powder (NHBL) for removing copper ions from aqueous solutions has been investigated. The e?ects of physicochemical parameters on biosorption capacities such as stirring speed, pH, biosorbent dose, initial concentrations of copper, and ionic strength were studied. The biosorption capacities of NHBL increased with increase in pH, stirring speed and copper concentration but decreased with increase in biosorbent dose and ionic strength...     

西宁冬季PM2.5和PM10手工与自动监测现状研究

为研究PM_(2.5)和PM_(10)手工与自动监测仪器在高海拔地区的适用性,于2014年12月至2015年1月(冬季)在青海省西宁市开展了为期34 d的监测比对实验。PM监测数据表明:手工监测数据之间都有差异,除了受监测滤膜种类的影响,还存在监测仪器间的系统误差。石英滤膜的PM监测数据都高于聚丙烯滤膜,尤其是PM_(2.5)更为明显,偏高近1/4;石英滤膜与聚丙烯滤膜的PM监测数据具有较好的相关性,PM_(10)监测数据的相关系数为0.97。自动监测数据之间进行了同期比对研究,发现TEOM1405DF(微振荡天平法)和APM-2(β射线法)的PM监测值较低,BAM-1020(β射线法)的PM监测值最高;而Grimm(光散射法)的PM监测值居中。BAM1020配备动态加热系统(DHS),其PM监测数据比没有配备DHS的APM-2偏高40%。基于PM监测比对研究,建议在空气污染严重时加密对各监测仪器的运行维护,并加强长期观测以全面评估PM监测。     

Characterizing efforts to reduce consumer demand for wildlife products

The unsustainable trade in wildlife is a key threat to Earth's biodiversity. Efforts to mitigate this threat have traditionally focused on regulation and enforcement, and there is a growing interest in campaigns to reduce consumer demand for wildlife products. We aimed to characterize these behavior-change campaigns and the evidence of their impacts. We searched peer-reviewed and grey literature repositories and over 200 institutional websites to retrieve information on demand-reduction campaigns. We found 236 campaigns, mainly in the grey literature. Since the 1970s, the number of campaigns increased, although for over 15% a start date could not be found. Asia was the primary focus, although at the national level the United States was where most campaigns took place. Campaigns most often focused on a single species of mammal; other vertebrates groups, with the exception of sharks, received limited attention. Many campaigns focused on broad themes, such as the wildlife trade in general or seafood. Thirty-seven percent of campaigns reported some information on their inputs, 98% on strategies, 70% on outputs, 37% on outcomes (i.e., changes in the target audience), and 9% on impacts (i.e., biological changes or threat reduction). Information on outcomes and impacts was largely anecdotal or based on research designs that are at a high risk of bias, such as pre- and postcampaign comparisons. It was unclear whether demand-reduction campaigns had direct behavioral or biological impacts. The lack of robust impact evaluation made it difficult to draw insights to inform future efforts, a crucial part of effectively addressing complex issues, such as the wildlife trade. If demand-reduction campaigns are to become a cornerstone of the efforts to mitigate the unsustainable trade in wildlife, conservationists need to adopt more rigorous impact evaluation and a more collaborative approach that fosters the sharing of data and insights.     

Ecosystem-inspired model and artificial intelligence predicts pollutant consumption capacity by coagulation in drinking water treatment

Conventional methods for water and wastewater treatment are energy-intensive, notably at the stage of coagulation–flocculation, calling for new strategies to predict pollutant reduction because the amount of energy consumed is related to how much of the pollutant is treated. Here we developed a model, named Bio-logic, inspired by ecosystems, where pollutants represent organisms, coagulants are food, and the wider environmental conditions are the living environment. Artificial intelligence was used to learn the biological behavior, which enabled an accurate prediction of the amount of pollutant reduction. Results show that pseudo-biological objects that have a strong affinity for biological food, such as turbidity, total phosphorus, ammonia nitrogen and the potassium permanganate index, induced a strong correlation, between measured pollutant consumption capacity and predicted values. For instance, R² correlation coefficients are 0.97 for turbidity and 0.92 for the potassium permanganate index in the laboratory; and 0.99 for turbidity, 0.90 for total phosphorus, 0.75 for ammonia nitrogen and 0.63 for the potassium permanganate index in water treatment plants. Overall, our findings demonstrate that artificial intelligence can use the water Bio-logic model to predict the pollutant consumption capacity.

     

Cause analysis of the fire and explosion during crude oil desulfurization in China

A serious fire and explosion accident that resulted in massive crude oil leakage and severe environmental pollution occurred on 16 July, 2010, in Dalian Port, China. To investigate the root cause of accident and conduct a wide-range investigation, desulfurizing agent JH02, which has a similar ingredient to the desulfurizing agent HD used in Dalian Port, and TS02 were employed in this study to determine the role of desulfurizing agents in the accident. The thermal behavior of crude oil, desulfurizing agents, and their mixtures was measured by using a C80 calorimeter. By using the calorimetric data, the kinetic parameters of the chemical reaction, such as activation energy, pre-exponential factor, and self-accelerating decomposition temperature of crude oil, as well as JH02, TS02, and their mixtures, were calculated and compared. The results indicated that the direct cause of the accident was the thermal runaway initiated by the increasing instability of the crude oil–desulfurizing agent mixture. Excess pressure in the oil pipeline triggered the physical explosion, but it alone was not enough to cause a serious damage. Furthermore, a stable desulfurizing agent such as TS02 could not ensure a safe desulfurizing process. The results of this study would benefit the safety management of desulfurizing processes during production and storage.     

香根草和黑麦草对重金属铅的生理响应及累积性研究

以香根草(Vetiveria zizanioides)和黑麦草(Lolium perenne)为材料,通过水培研究了0,5,10,50,200,500 mg/L铅处理对两种植物生长、生物量的影响及铅在植物根、茎叶中的累积特征,结果表明,(1)铅浓度10 mg/L以下,香根草和黑麦草能够正常生长;铅浓度为5 mg/L条件...     

The risks of sulfur addition on cadmium accumulation in paddy rice under different water-management conditions

Recently, the application of sulfur (S) has been recommended to control the accumulation of cadmium (Cd) in rice in contaminated paddy soil. However, the effects of exogenous S on Cd transfer in paddy rice systems under different water-management practices have not been systematically investigated. Pot experiments were performed to monitor the composition of soil pore water and the Cd accumulation in iron plaque and rice tissue were compared under different S (0 and 200 mg/kg Na₂SO₄) and water (continuous and discontinuous flooding) treatments. Sulfur application significantly increased Cd concentrations in soil pore water under discontinuous flooding conditions, but slightly reduced them under continuous flooding. Moreover, the oxidation/reduction potential (Eh) was the most critical factor that affected the Cd levels. When the Eh exceeded −42.5 mV, S became the second critical factor, and excessive S application promoted Cd dissolution. In addition, S addition elevated the Cd levels in iron plaque and reduced the Cd transfer from the iron plaque to rice roots. In rice, S addition inhibited Cd transfer from the rice roots to the straw; thus, more Cd was stored in the rice roots. Nevertheless, additional S application increased the Cd content in the rice grains by 72% under discontinuous flooding, although this effect was mitigated by continued flooding. Under simulated practical water management conditions, S addition increased the risk of Cd contamination in rice, suggesting that S application should be reconsidered as a paddy fertilization strategy.