不同浓度养殖废水对青萍生长能力的影响

为了探讨废水浓度对青萍(Lemna minor)净化能力、生物质和能量积累能力的影响,以猪场养殖废水为供试废水,分析了在不同废水浓度下青萍对废水中总氮(TN)、氨氮和总磷(TP)的净化能力,青萍的生长情况,以及青萍中碳(C)、氮(N)、磷(P)元素含量和热值的变化情况。研究表明,青萍在1%浓度的废水中表现出最高的污染物净化能力。虽然青萍的C、N、P含量和热值均随废水浓度的增加而增加,但是由于相对增长率以1%的废水中生长的青萍最高,青萍的最高生产力、C和能量的固定能力均出现在1%废水浓度培养的青萍中,其次是5%废水浓度培养的青萍。多项式回归分析表明,可以使青萍获得最大C和能量固定能力的废水浓度为3.4%,对应的氨氮浓度为26 mg/L,TP浓度为3.4 mg/L。研究结果为进一步优化高生物质生产、高污染物去除率的养殖废水-浮萍培养体系提供了一定的基础。     

基于GPS的北京市2007-2012年地面沉降变化研究

利用经验模态分解(EMD)方法处理2007-2012年的北京GPS数据,并通过与地下水埋深比较分析近年来的地面沉降。首先通过2007-2012年的年沉降速率,发现北京沉降中心连片,形成了中东部的沉降漏斗。DSQI累积沉降量达到510 mm,DSQI、CHAO、NLSH三站点的年沉降速率分别为85 mm/a,41.7 mm/a和20mm/a。其次采用EMD方法提取DSQI、NLSH的垂向序列的趋势项,分析其沉降趋势。最后,对地下水埋深和GPS站点沉降趋势之间的关系进行了对比分析,地面沉降变化趋势与地下水水位变化具有较好的一致性,地下水水位变化是地面沉降发生发展的主要诱因。     

环境水中污染物亚硝酸根的现场快速测定研究

通过研制一种环境保护试纸从而能简便快速地现场半定量测定环境水中污染物亚硝酸根,便于野外水环境普查,应用它可使测定时间由标准法的3h左右短到5min,使分析成本大为降低。     

An integrated method for safety pre-warning of complex system

In large-scale and complex industrial systems, unplanned outages and hazardous accidents cause huge economic losses, environmental contamination, and human injuries, due to component degradation, exogenous changes, and operational mistakes. In order to ensure safety and increase operational performance and reliability of complex system, this study proposes an integrated method for safety pre-warning to analyze the current safety state of each component and the whole system indicating hidden hazards and potential consequence, and furthermore predict future degradation trends in the long term.The work presented here describes the rationale and implementation of the integrated method incorporating HAZOP study, degradation process modeling, dynamic Bayesian network construction, condition monitoring, safety assessment and prognosis steps, taking advantage of the priori knowledge of the interactions and dependencies among components and the environment, the relationships between hazard causes and effects, and the use of historical failure data and online real-time data from condition monitoring.The application of the integrated safety pre-warning approach described here to the specific example of the gas turbine compressor system demonstrates how each phase of the presented method contributes to completion of the safety pre-warning system development in a systematic way.     

聚苯乙烯基离子交换纤维去除铅离子的应用研究

聚苯乙烯其离子交换纤维是一种理想的离子交换材料。它的特殊的物理形态决定它对一些有害气体如铅烟、颗粒铅等具有很好的净化作用，铅烟净化效率可达８０％；对水溶液中毒性铅离子去除率可达８６％。该纤维可做为治理毒性铅离子的材料。     

Spatial PM2.5 mobile source impacts using a calibrated indicator method

Motor vehicles are major sources of fine particulate matter (PM_2.5), and the PM_2.5 from mobile vehicles is associated with adverse health effects. Traditional methods for estimating source impacts that employ receptor models are limited by the availability of observational data. To better estimate temporally and spatially resolved mobile source impacts on PM_2.5, we developed an approach based on a method that uses elemental carbon (EC), carbon monoxide (CO), and nitrogen oxide (NO_x) measurements as an indicator of mobile source impacts. We extended the original integrated mobile source indicator (IMSI) method in three aspects. First, we generated spatially resolved indicators using 24-hr average concentrations of EC, CO, and NO_x estimated at 4 km resolution by applying a method developed to fuse chemical transport model (Community Multiscale Air Quality Model [CMAQ]) simulations and observations. Second, we used spatially resolved emissions instead of county-level emissions in the IMSI formulation. Third, we spatially calibrated the unitless indicators to annually-averaged mobile source impacts estimated by the receptor model Chemical Mass Balance (CMB). Daily total mobile source impacts on PM_2.5, as well as separate gasoline and diesel vehicle impacts, were estimated at 12 km resolution from 2002 to 2008 and 4 km resolution from 2008 to 2010 for Georgia. The total mobile and separate vehicle source impacts compared well with daily CMB results, with high temporal correlation (e.g., R ranges from 0.59 to 0.88 for total mobile sources with 4 km resolution at nine locations). The total mobile source impacts had higher correlation and lower error than the separate gasoline and diesel sources when compared with observation-based CMB estimates. Overall, the enhanced approach provides spatially resolved mobile source impacts that are similar to observation-based estimates and can be used to improve assessment of health effects.

Implications: An approach is developed based on an integrated mobile source indicator method to estimate spatiotemporal PM_2.5 mobile source impacts. The approach employs three air pollutant concentration fields that are readily simulated at 4 and 12 km resolutions, and is calibrated using PM_2.5 source apportionment modeling results to generate daily mobile source impacts in the state of Georgia. The estimated source impacts can be used in investigations of traffic pollution and health.     

Impact of green credit on industrial structure in China: theoretical mechanism and empirical analysis

Environmental Science and Pollution Research - Chinese industrial structure is characterized by a large proportion of industries with high energy consumption and high pollution, such as coal,...     

Development of Hybrid Film Based on Carboxymethyl Chitosan-Gum Arabic Incorporated Citric Acid and Polyphenols from Cinnamomum camphora Seeds for Active Food Packaging

Journal of Polymers and the Environment - In this study, carboxymethyl chitosan with gum Arabic (CG) based novel functional films containing Cinnamomum camphora seeds extract (CCSE) at varying...     

Using air pollution based community clusters to explore air pollution health effects in children

To study respiratory health effects of long-term exposure to ambient air pollutant mixture, we observed 7058 school children 5-16 years of age living in the four Chinese cities of Lanzhou, Chongqing, Wuhan, and Guangzhou. These children were enrolled from elementary schools located in eight districts, one urban district and one suburban district in each of the above cities. Ambient levels of PM(2.5), PM(10-2.5), total suspended particles (TSP), SO(2), and NO(x) were measured in these districts from 1993 to 1996. Based on a cluster analysis of arithmetic mean concentrations of PM(2.5), PM(10-2.5), (TSP-PM(10)), SO(2), and NO(x), we classified these children into four ordinal categories of exposure to ambient air pollutant mixtures. We tested for exposure-response relationships using logistic regression models, controlling for relevant covariates. We observed monotonic, positive relationships of exposure to the pollutant mixture with prevalence rates of cough with phlegm and wheeze. Other outcomes were not associated with the exposure in a monotonic exposure-response pattern. Even so, odds ratios for cough, phlegm, bronchitis, and asthma in the higher exposure district clusters were all higher than in the lowest exposure district cluster. We found evidence that exposure to the pollutant mixtures had adverse effects on children living in the four Chinese cities.