Markov reliability model research of monitoring process in digital main control room of nuclear power plant

Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.     

二氯荧光黄为指示剂的硝酸银滴定法测定废水中氯化物

采用以二氯荧光黄为指示剂的硝酸银滴定法测定废水中氯化物。优化实验条件后,以该法测定质控样,相对误差-1.30%～2.70%,相对标准偏差0.10%～0.14%,加标回收率约为98%。用该法测定废水中氯化物是合理可行的。     

Measurement of the proximity effect for indoor air pollutant sources in two homes

Personal exposure to air pollutants can be substantially higher in close proximity to an active source due to non-instantaneous mixing of emissions. The research presented in this paper quantifies this proximity effect for a non-buoyant source in 2 naturally ventilated homes in Northern California (CA), assessing its spatial and temporal variation and the influence of factors such as ventilation rate on its magnitude. To quantify how proximity to residential sources of indoor air pollutants affects human exposure, we performed 16 separate monitoring experiments in the living rooms of two detached single-family homes. CO (as a tracer gas) was released from a point source in the center of the room at a controlled emission rate for 5-12 h per experiment, while an array of 30-37 real-time monitors simultaneously measured CO concentrations with 15 s time resolution at radial distances ranging from 0.25-5 m under a range of ventilation conditions. Concentrations measured in close proximity (within 1 m) to the source were highly variable, with 5 min averages that typically varied by >100-fold. This variability was due to short-duration (<1 min) pollutant concentration peaks ("microplumes") that were frequently recorded in close proximity to the source. We decomposed the random microplume component from the total concentrations by subtracting predicted concentrations that assumed uniform, instantaneous mixing within the room and found that these microplumes can be modeled using a 3-parameter lognormal distribution. Average concentrations measured within 0.25 m of the source were 6-20 times as high as the predicted well-mixed concentrations.     

Risk assessment of heavy metals in road and soil dusts within PM2.5, PM10 and PM100 fractions in Dongying city, Shandong Province, China

15 road and 14 soil dust samples were collected from an oilfield city, Dongying, from 11/2009-4/2010 and analyzed by inductively coupled plasma-mass spectroscopy (ICP-MS) for V, Cr, Mn, Co, Ni, Cu, Zn, As, Cd and Pb within PM(2.5), PM(10) and PM(100) fractions synchronously. Metal concentrations, sources and human health risk were studied. Results showed that both soil and road dust exhibited higher values for Mn and Zn and lower values for Co and Cd for the three fractions. Mass concentration ratios of PM(2.5)/PM(10) and PM(10)/PM(100) for metals in road and soil dust indicate that most of the heavy metals tend to concentrate in fine particles. Geoaccumulation index and enrichment factors analysis showed that Cu, Zn and Cd exhibited moderate or heavy contamination and significant enrichment, indicating the influence of anthropogenic sources. Vanadium, Cr, Mn and Co were mostly not enriched and were mainly influenced by crustal sources. For Ni, As and Pb, they ranged from not enriched to moderately enriched and were influenced by both crustal materials and anthropogenic sources. The conclusions were confirmed by multivariate analysis methods. Principle component analysis revealed that the major sources were vehicle emission, industrial activities, coal combustion, agricultural activities and crustal materials. The risk assessment results indicated that metal ingestion appeared to be the main exposure route followed by dermal contact. The most likely cause for cancer and other health risks are both the fine particles of soil and road dusts.     

Modeling Large Fire Frequency and Burned Area in Canadian Terrestrial Ecosystems with Poisson Models

Large wildland fires are major disturbances that strongly influence the carbon cycling and vegetation dynamics of Canadian boreal ecosystems. Although large wildland fires have recently received much scrutiny in scientific study, it is still a challenge for researchers to predict large fire frequency and burned area. Here, we use monthly climate and elevation data to quantify the frequency of large fires using a Poisson model, and we calculate the probability of burned area exceeding a certain size using a compound Poisson process. We find that the Poisson model simulates large fire occurrence well during the fire season (May through August) using monthly climate, and the threshold probability calculated by the compound Poisson model agrees well with historical records. Threshold probabilities are significantly different among different Canadian ecozones, with the Boreal Shield ecozone always showing the highest probability. The fire prediction model described in this study and the derived information will facilitate future quantification of fire risks and help improve fire management in the region.     

Occurrence,distribution, and multi-phase partitioning of triclocarban and triclosan in an urban river receiving wastewater treatment plants effluent in China

Occurrence, distribution, spatial and seasonal variations, and partitioning between aqueous phase and suspended particulate matters (SPM) of triclocarban (TCC) and triclosan (TCS) in Xiaoqing River, which receives wastewater treatment plant (WWTP) effluents, were studied. The distribution of the total TCC and TCS levels in surface water and sediments along the river were discussed. The highest TCC and TCS concentrations were both found near the discharge port of WWTPs, and the TCC and TCS levels decreased downstream of the WWTPs as a result of their distances from the source of WWTP discharges. The mean values of TCC and TCS in low-flow season were 1.62 and 1.80 times, respectively, as much as in high-flow season in surface water. The study on partitioning of TCC and TCS between aqueous phase and SPM shown the mean level of dissolved TCC accounted for about 10 % of the total level in surface water, whereas the TCS level was about 30 %. The TCC concentrations detected in the surface sediment samples (0 to 5 cm) ranged from 226 to 1,956 ng/g, with a mean value of 733 ng/g. The TCS levels were between 85 and 705 ng/g, with a mean value of 255 ng/g. The distribution and variations of TCC and TCS in sediments along the river were highly consistent with those in the water phase. The TCC and TCS levels in deep sediments (5 to 10 cm) were significantly lower than those in surface sediments. The mean TCC level in surface sediments was about 2.4 times as much as in deep sediments, and the TCS level in surface sediments was 3.1 times as much as in deep sediments.     

Role of cosubstrate and bioaccessibility played in the enhanced anaerobic biodegradation of organochlorine pesticides (OCPs) in a paddy soil by nitrate and methyl-β-cyclodextrin amendments

The present study was conducted to investigate the anaerobic biodegradation potential of biostimulation by nitrate (KNO₃) and methyl-β-cyclodextrin (MCD) addition on an aged organochlorine pesticide (OCP)-contaminated paddy soil. After 180 days of incubation, total OCP biodegradation was highest in soil receiving the addition of nitrate and MCD simultaneously and then followed by nitrate addition, MCD addition, and control. The highest biodegradation of chlordanes, hexachlorocyclohexanes, endosulfans, and total OCPs was 74.3, 63.5, 51.2, and 65.1 %, respectively. Meanwhile, MCD addition significantly increased OCP bioaccessibility (p?<?0.05) evaluated by Tenax TA extraction and a three-compartment model method. Moreover, the addition of nitrate and MCD also obtained the highest values of soil microbial activities, including soil microbial biomass carbon and nitrogen, ATP production, denitrifying bacteria count, and nitrate reductase activity. Such similar trend between OCP biodegradation and soil-denitrifying activities suggests a close relationship between OCP biodegradation and N cycling and the indirect/direct involvement of soil microorganisms, especially denitrifying microorganisms in the anaerobic biodegradation of OCPs.     

不同酶强化污泥为燃料微生物燃料电池特性对比分析

采用单室无膜悬浮阴极微生物燃料电池(MFC),对比分析了蛋白酶和淀粉酶强化剩余污泥为燃料的MFC(ESMFC)产电特性、酶特性和污泥减量化效果。研究表明,投加蛋白酶的ESMFC最大功率密度比对照组增加106.2%,投加淀粉酶时ESMFC最大功率密度比对照组增加48%。蛋白酶作用主要体现在投加后的前12小时,而淀粉酶作用时间则较长,为投加后的前144小时,但在运行前期,由于高温作用,导致系统内的酶活性较强,投加的淀粉酶作用则不明显。投加蛋白酶的系统内TCOD、TSS和VSS去除率分别为82%、65%和85%,而投加淀粉酶的系统内TCOD、TSS和VSS去除率分别达到86%、67%和88%。此研究对于ESMFC中外加酶的选择具有一定意义。     

Influence of UV radiation on chlorophyll,and antioxidant enzymes of wetland plants in different types of constructed wetland

A surface- and vertical subsurface-flow-constructed wetland were designed to study the response of chlorophyll and antioxidant enzymes to elevated UV radiation in three types of wetland plants (Canna indica, Phragmites austrail, and Typha augustifolia). Results showed that (1) chlorophyll content of C. indica, P. austrail, and T. augustifolia in the constructed wetland was significantly lower where UV radiation was increased by 10 and 20 % above ambient solar level than in treatment with ambient solar UV radiation (p?C. indica, P. australis, and T. angustifolia by elevated UV radiation of 10 % was higher in vertical subsurface-flow-constructed wetland than in surface-flow-constructed wetland. The sensitivity of MDA, SOD, POD, and CAT activities of C. indica, P. austrail, and T. augustifolia to the elevated UV radiation was lower in surface-flow-constructed wetland than in the vertical subsurface-flow-constructed wetland, which was related to a reduction in UV radiation intensity through the dissolved organic carbon and suspended matter in the water. C. indica had the highest SOD and POD activities, which implied it is more sensitive to enhanced UV radiation. Therefore, different wetland plants had different antioxidant enzymes by elevated UV radiation, which were more sensitive in vertical subsurface-flow-constructed wetland than in surface-flow-constructed wetland.     

乌鲁木齐市不同区域大气降尘中重金属污染及来源分析

为进一步了解城市不同区域间大气降尘中重金属含量及其差异性,沿城市走向梯度布设降尘采样点采集样品。采用电感耦合等离子体原子发射光谱(ICP-AES)仪测定样品中Cu、Cr、Mn、Fe、Ni、Zn、Cd、Pb和As等重金属含量,并计算富集因子来判断不同区域间的污染源类型,通过因子分析方法探讨污染的来源。结果显示,所测重金属元素中除Mn外,均受到人为源的影响,且十分严重。从贡献率来看,不同区域间第一因子的贡献率虽有差异,但均为来自土壤的风沙扬尘造成;第二因子的贡献率也不尽相同,主要是燃煤产生的污染;第三因子出现了差异,市南区和市北区主要是受金属冶炼的影响,而市中区的影响可能来自垃圾焚烧;市南区未出现第四因子,而市中区和市北区的污染源也不相同。分析表明,城市大气降尘污染依然严重,做好防控风沙和建筑扬尘,减少煤炭消耗,调整能源结构和产业布局是整体减少大气降尘的关键。