Beyond hypoxia：Occurrence and characteristics of black blooms due to the decomposition of the submerged plant Potamogeton crispus in a shallow lake

Organic matter-induced black blooms(hypoxia and an offensive odor) are a serious ecosystem disasters that have occurred in some large eutrophic shallow lakes in China. In this study, we investigated two separate black blooms that were induced by Potamogeton crispus in Lake Taihu, China. The main physical and chemical characteristics, including color- and odor-related substances, of the black blooms were analyzed. The black blooms were characterized by low dissolved oxygen concentration(close to 0 mg/L), low oxidation-reduction potential, and relatively low pH of overlying water. Notably higher Fe2+and∑S2-were found in the black-bloom waters than in waters not affected by black blooms. The black color of the water may be attributable to the high concentration of these elements, as black FeS was considered to be the main substance causing the black color of blooms in freshwater lakes. Volatile organic sulfur compounds, including dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, were very abundant in the black-bloom waters. The massive anoxic degradation of dead Potamogeton crispus plants released dimethyl sulfide, dimethyl disulfide, and dimethyl trisulfide, which were the main odor-causing compounds in the black blooms. The black blooms also induced an increase in ammonium nitrogen and soluble reactive phosphorus levels in the overlying waters. This extreme phenomenon not only heavily influenced the original lake ecosystem but also greatly changed the cycling of Fe, S, and nutrients in the water column.     

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days （ADD）, have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency＇s Storm Water Management Model （SWMM）. The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid （TSS） discharge loads and event mean concentrations （EMC） were extracted. From these data, linear regression models were developed. R2 and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data.     

Unregulated emissions from diesel engine with particulate filter using Fe-based fuel borne catalyst

The alteration and formation of toxic compounds and potential changes in the toxicity of emissions when using after-treatment technologies have gained wide attention. Volatile organic compound（VOC）, carbonyl compound and particle-phase polycyclic aromatic hydrocarbon（PAH） emissions were tested at European Steady State Cycle（ESC） to study unregulated emissions from a diesel engine with a fuel-borne catalyst and diesel particulate filter（FBC–DPF）. An Fe-based fuel-borne catalyst was used for this study. According to the results, brake specific emissions of total VOCs without and with DPF were 4.7 and4.9 mg/kWh, respectively, showing a 4.3% increase. Benzene and n-undecane emissions increased and toluene emission decreased, while other individual VOC emissions basically had no change. When retrofitted with the FBC–DPF, total carbonyl compound emission decreased 15.7%, from 25.8 to 21.8 mg/kWh. The two highest carbonyls, formaldehyde and acetaldehyde, were reduced from 20.0 and 3.7 to 16.5 and 3.3 mg/kWh respectively. The specific reactivity（SR） with DPF was reduced from 6.68 to 6.64 mg/kWh. Total particle-phase PAH emissions decreased 66.4% with DPF compared to that without DPF. However, the Benzo[a]pyrene equivalent（BaPeq） with DPF had increased from 0.016 to 0.030 mg/kWh.Fluoranthene and Pyrene had the greatest decrease, 91.1% and 88.4% respectively. The increase of two- and three-ring PAHs with DPF indicates that the fuel-borne catalyst caused some gas-phase PAHs to adsorb on particles. The results of this study expand the knowledge of the effects of using a particulate filter and a Fe-based fuel-borne catalyst on diesel engine unregulated emissions.     

Carbonyl emissions from heavy-duty diesel vehicle exhaust in China and the contribution to ozone formation potential

Fifteen heavy-duty diesel vehicles were tested on chassis dynamometer by using typical heavy duty driving cycle and fuel economy cycle. The air from the exhaust was sampled by 2,4- dinitrophenyhydrazine cartridge and 23 carbonyl compounds were analyzed by high performance liquid chromatography. The average emission factor of carbonyls was 97.2 mg/km, higher than that of light-duty diesel vehicles and gasoline-powered vehicles. Formaldehyde, acetaldehyde, acetone and propionaidehyde were the species with the highest emission factors. Main influencing factors for carbonyl emissions were vehicle type, average speed and regulated emission standard, and the impact of vehicle loading was not evident in this study. National emission of carbonyls from diesel vehicles exhaust was calculated for China, 2011, based on both vehicle miles traveled and fuel consumption. Carbonyl emission of diesel vehicle was estimated to be 45.8 Gg, and was comparable to gasolinepowered vehicles （58.4 Gg）. The emissions of formaldehyde, acetaldehyde and acetone were 12.6, 6.9, 3.8 Gg, respectively. The ozone formation potential of carbonyls from diesel vehicles exhaust was 537 mg O3/km, higher than 497 mg O3/km of none-methane hydrocarbons emitted from diesel vehicles.     

Fouling distribution in forward osmosis membrane process

Fouling behavior along the length of membrane module was systematically investigated by performing simple modeling and lab-scale experiments of forward osmosis （FO） membrane process. The flux distribution model developed in this study showed a good agreement with experimental results, validating the robustness of the model. This model demonstrated, as expected, that the permeate flux decreased along the membrane channel due to decreasing osmotic pressure differential across the FO membrane. A series of fouling experiments were conducted under the draw and feed solutions at various recoveries simulated by the model. The simulated fouling experiments revealed that higher organic （alginate） fouling and thus more flux decline were observed at the last section of a membrane channel, as foulants in feed solution became more concentrated. Furthermore, the water flux in FO process declined more severely as the recovery increased due to more foulants transported to membrane surface with elevated solute concentrations at higher recovery, which created favorable solution environments for organic adsorption. The fouling reversibility also decreased at the last section of the membrane channel, suggesting that fouling distribution on FO membrane along the module should be carefully examined to improve overall cleaning efficiency. Lastly, it was found that such fouling distribution observed with co-current flow operation became less pronounced in counter- current flow operation of FO membrane process.     

星肋小环藻、铜绿微囊藻春化作用基因控制机理

实验证实了星肋小环藻、铜绿微囊藻的春化作用后,其暴发控制机理成为研究重点。该文通过分析单细胞生物基因操作原理、遗传物质转录复制控制、温度对蛋白质的作用和酶原激活过程等,研究微藻春化作用基因控制机理,提出基因控制模型:激活基因-操纵基因连锁的基因操纵模型,由基因操纵子、调节基因和激活基因组成。该模型阐释2种藻类春末夏初大规模暴发机理:春季,调节基因产生的调节蛋白原被调节蛋白激活酶激活产生的调节蛋白与操纵基因结合,启动结构基因转录合成DNA合成酶系,DNA复制完成,藻体裂殖(繁殖)群体增长;夏季,高温下温度敏感的调节蛋白激活酶变性,使调节蛋白原激活产生变构的调节蛋白,同时与操纵基因和激活基因结合,激活基因不能产生调节蛋白激活酶激活调节蛋白原产生激活蛋白,这时铜绿微囊藻进入生长被抑制状态,星肋小环藻进入高温休眠状态;进入秋季,因之前无低温出现使热变性的激活酶复性,激活产生正常的调节蛋白与操纵基因结合,启动结构基因复制繁殖所需DNA酶系,尽管秋季温光适宜,星肋小环藻不会生长活动,铜绿微囊藻可生长但生长速度低于春末夏初时的生长速度;进入冬季,低温使热变性的激活酶复性,等待来年春暖激活调节蛋白原,启动新一年的藻生长。     

芦苇和藨草对不同程度富营养化水体的净化效果研究

通过设置3种浓度梯度的富营养化水体净化实验,研究了芦苇和藨草的生长状况及其对富营养化水体中N、P的去除效果。结果表明:芦苇和藨草在3种梯度的富营养化水体中均能正常生长,并对水中N、P有明显的去除效果。藨草在处理轻度和中度富营养化水体时要比芦苇占优势,在重度富营养化水体中,芦苇对N、P的去除能力要高于藨草,且二者对水中TP的净化效果要好于TN。通过对受试水样的TN、TP浓度随时间变化的动态曲线拟合得出,水体中TN、TP的浓度随时间变化呈负指数衰减,芦苇和藨草对富营养化水体的净化率随其在水体中停留时间的延长而递增。实验结果为利用挺水植物修复富营养化水体的模式和机理的深入研究提供了科学依据。     

一种基于电化学检测的新型水质综合评价方法

文章建立了一种准确、有效、适用于远程监控的新型水质综合指数(WQCI)评价方法。该方法是基于可采用电化学传感器测量的水质五参数指标:温度(T)、溶解氧(DO)、氧化还原电位(ORP)、电导率(K)、酸碱度(p H),结合数学统计K-star模型以《地表水环境质量标准》(GB-3838-2002)为参照标准,通过K-star模型的分类和运算得出未知水体水质类别。同时还对此水质综合指数(WQCI)评价方法进行了一系列的优化实验,并将检测结果与环保局发布数据做了比较分析,发现结果基本一致。与其它的水质综合评价方法相比,该方法能够实现检测参数所用仪器的一体化,便于现场和远程自动监控分析。若与网络技术结合起来,则可实现水质实时、在线监测。     

神奇的“水燃料”

你想象过以后开车,只需要加水就能跑吗？水是地球上最为丰富的化合物,一直以来,人类从未停止过探索水燃料的脚步。今天要介绍的,就是那些从水中提取能源的神奇科技。     

突发公共事件应急交通研究综述

突发公共事件下的应急交通管理与控制问题是当前交通领域的一个研究热点。本文介绍了国内外有关应急交通领域的研究现状,对突发公共事件的概念进行了归纳总结,分析了突发公共事件下的应急交通行为;概述了数学分析方法和计算机仿真模拟应急交通疏散的研究成果,从逆向车道设计、交通分流、分阶段交通疏散、交通信号控制、平行应急管理与控制等方面对突发公共事件下的应急交通控制策略进行了分析;最后指出了有待进一步深入研究和探索的问题。