查干湖汇水区面源污染风险识别及管控

面源污染是我国流域面临的主要水环境问题,为了识别面源污染高风险区和潜在风险路径,实现流域水环境保护,以查干湖水质目标为约束条件,构建4类关键“源”景观.选取高程、坡度、土地利用类型、污染强度、距居民点距离、距公路距离、距铁路距离、距水体距离等8个评价因子构建阻力面,对查干湖汇水区面源污染风险区和风险路径进行识别,提出管控分区和治理措施.结果表明:①查干湖汇水区关键“源”景观有4类,分别为面源污染单位面积高负荷区、坡度>3°区域、污染传输通道和临湖区域,面积共126.33 km2.②查干湖汇水区面源污染高风险区即面源污染重点管控区,占汇水区总面积的27.10%,主要位于乾安灌区有字泡区域、查干湖及周边泡沼沿岸.区内现有耕地不再增加,同时对坡度较大的区域退耕还湿、退耕还草,并设置污染降解设施.③查干湖汇水区面源污染较高风险区即面源污染一般管控区,占汇水区总面积的20.23%.该区鼓励开展有机农业,发展生态旅游.④查干湖北岸和东南岸、库里泡周边设置一定宽度的植被缓冲带,汇水区设置生态降解渠道333.41 km,生态湿地节点9个.研究显示,污染排放强度是查干湖汇水区面源污染风险的主要威胁因素,需要重点加强查干湖汇水区乾安灌区有字泡、湖区北岸及东南岸的面源污染管控.      

基于LCOE模型的光伏发电经济效益分析:以宜昌农村地区光伏扶贫电站项目为例

光伏发电是我国重要的清洁能源发展战略,也是资产收益扶贫的重要方式.为了探讨光伏发电项目对政策的依赖性及其在经济上的可持续性,采用平准化度电成本（LCOE）模型开展研究,并开发出平准化度电净现值（LNPVE）模型用于研究光伏发电项目的长期经济效益及其影响因素.将上网电价与补贴作为效益指标引入LCOE模型,即得到LNPVE,LNPVE为折现度电收入和折现度电成本之差.LNPVE模型不仅能将政策因素引入经济效益分析中,同时还能考虑效益变动,从而分析光伏发电项目的经济可持续性.以宜昌市长阳土家族自治县渔峡口镇村级光伏扶贫电站项目为案例的分析表明,从LCOE模型结果来看,案例项目能够实现经济效益;然而从LNPVE模型结果来看,现行补贴上网电价下案例项目的长期经济效益仍存在不确定性,且这种不确定性随着光伏发电上网电价补贴“退坡”政策的出台而有所强化.敏感性分析结果表明,影响案例项目经济效益的首要因素是技术因素,其次是政策因素,再者是经济因素.若案例项目以无补贴标杆电价平价上网,则需将单位造价降低19.3%或者年利用小时数提高14.8%;若要进一步实现以燃煤发电上网电价平价上网,则需将单位造价降低97.0%或者年利用小时数提高182.1%.因此,应当针对光伏发电特别是村级光伏扶贫项目实施必要的电价补贴,将补贴“退坡”与提高光伏发电效率相结合,并将有针对性地提高补贴效率作为光伏电价补贴的重点,同时高度重视技术改进及推广应用和运营维护的成本降低及质量提高,以持续实现光伏发电项目的经济效益.      

Managed grassland alters soil N dynamics and N2O emissions in temperate steppe

Reclamation of degraded grasslands as managed grasslands has been increasingly accelerated in recent years in China. Land use change affects soil nitrogen(N) dynamics and nitrous oxide(N_2O) emissions. However, it remains unclear how large-scale grassland reclamation will impact the grassland ecosystem as a whole. Here, we investigated the effects of the conversion from native to managed grasslands on soil N dynamics and N_2O emissions by field experiments in Hulunber in northern China. Soil(0–10 cm), nitrate(NO_3~-),ammonium(NH_4~+), and microbial N were measured in plots in a temperate steppe(Leymus chinensis grassland) and two managed grasslands(Medicago sativa and Bromus inermis grasslands) in 2011 and 2012. The results showed conversion of L. chinensis grassland to M.sativa or B. inermis grasslands decreased concentrations of NO_3~–-N, but did not change NH_4~–N . Soil microbial N was slightly decreased by the conversion of L. chinensis grassland to M.sativa, but increased by the conversion to B. inermis. The conversion of L. chinensis grassland to M. sativa(i.e., a legume grass) increased N_2O emissions by 26.2%, while the conversion to the B. inermis(i.e., a non-legume grass) reduced N_2O emissions by 33.1%. The conversion from native to managed grasslands caused large created variations in soil NO?3~-+–N and NH_4~–N concentrations. Net N mineralization rates did not change significantly in growing season or vegetation type, but to net nitrification rate. These results provide evidence on how reclamation may impact the grassland ecosystem in terms of N dynamics and N_2O emissions.     

Association of serum levels of perfluoroalkyl substances with gestational diabetes mellitus and postpartum blood glucose

This study was conducted to examine the association of perfluoroalkyl substance(PFAS)exposure with gestational diabetes mellitus(GDM) risk and postpartum fasting blood glucose.We used a 1:2 matched case–control study with 84 GDM subjects and 168 healthy pregnant women from Beijing, China. The maternal blood was collected at 1–2 days before delivery, and eight linear isomers and fourteen branched isomers were determined in maternal serum.Logistic regression analyses were performed to evaluate the associations after adjusting for potential confounders. The median of the sum of levels of total PFASs was 4.24 ng/m L with a interquartile range(IQR) of 2.82–6.54 ng/m L. Although maternal PFAS exposure was not associated with risk of GDM, significant positive associations were observed between evaluated exposure to specific PFAS congeners and increasing blood glucose. The odds ratio(ORs) of the highest category of postpartum fasting blood glucose for perfluoro-1-metylheptylsulfonat(1 m-PFOS), perfluoro-3/4-metylheptylsulfonat(3 m+4 m-PFOS), perfluoro-5-metylheptylsulfonat(5 m-PFOS), and perfluorohexane sulfonate(PFHx S) were 2.03(95% CI: 1.09–3.77), 1.93(95% CI:1.04–3.58), 2.48(95% CI: 1.33–4.65), and 2.26(95% CI: 1.21–4.21), respectively, suggesting negative effects of maternal exposure to specific PFAS compounds on glucose metabolism.     

Polar organic tracers in PM2.5 aerosols from an inland background area in Southwest China: Correlations between secondary organic aerosol tracers and source apportionment

PM_(2.5) aerosol samples were collected over 12 hr and 24 hr intervals in an inland background area, Gongga Mountain National Nature Reserve(hereafter shortened to Gongga), during the summer of 2011. Polar organic tracers, inorganic ions and meteorological data were measured. The purpose of this work was to investigate the variation patterns, formation and sources of the secondary organic aerosol tracers in the studied atmosphere. The average concentrations of isoprene oxidation products, α-pinene oxidation products, β-caryophyllinic acid, sugars, sugar alcohols and anhydrosugars were 88.6 ± 106.1, 3.6 ± 5.7,0.13 ± 0.30, 13.6 ± 13.1, 31.9 ± 31.4 and 14.8 ± 10.7 ng/m3 respectively in all aerosol samples.The aged α-pinene second organic aerosol(SOA) tracers(i.e., 3-hydroxyglutraric acid(3 HGA), 3-hydroxy-2,2-dimethylglutaric acid(HDMGA), 3-acetylpentandioic acid(APDA) and 3-methyl-1,2,3-butanetricarboxylic acid(MBTCA)) correlated significantly with each other in the 24 hr PM2.5 aerosol samples, indicating that OH· is the major factor controlling the formation of these α-pinene SOA tracers. Using the positive matrix factorization(PMF) model and the tracer-based source apportionment method, we calculated that isoprene oxidation products, α-pinene oxidation products, sesquiterpene oxidation products, biomass burning, fungi spores and anthropogenic SOA accounted for 21.9% ± 5.5%, 8.4% ± 2.1%, 3.0% ± 0.7%, 5.2% ± 5.3%, 5.0% ± 6.2% and 31.4% ± 7.8% of organic carbon respectively during the sampling period.     

Reduced graphene oxide-nano zero value iron(rGO-nZVI) micro-electrolysis accelerating Cr(Ⅵ) removal in aquifer

Nanoscale zero-valent iron(nZVI) assembled on graphene oxide(GO)(rGO-nZVI) composites were synthesized by reduction of GO and ferrous ions with potassium borohydride,for use in Cr(VI) removal from aqueous solution.The results showed that the two-dimensional structure of GO could provide a skeleton support for Fe~0,thus overcoming the bottleneck of aggregation for nZVI.Also,rGO-nZVI would form a ferric-carbon micro-electrolysis system in Cr(VI)-contaminated aquifers,enhancing and accelerating electron transfer,exhibiting high rate and capacity for Cr(VI) removal.The optimum dosage of the applied r GO-nZVI was linearly correlated with the initial Cr(VI) concentration.Characterization of rGO-nZVI before and after reaction with Cr(VI) revealed the process of Cr(VI) removal:r GO-nZVI firstly transferred electrons from Fe~0 cores via their Fe(II)/Fe(III) shells to the GO sheet;there,negatively charged Cr(VI) received electrons and changed into positively charged Cr(III),which was adsorbed by the negatively charged GO sheet,avoiding the capping and passivating of nZVI.rGO-nZVI formed a good electrically conductive network,and thus had long-term electron releasing properties,which was important for groundwater remediation.     

A multilevel perspective of interpersonal trust: Individual,dyadic, and cross‐level predictors of performance

While it is generally known that interpersonal trust facilitates individual functioning, few studies have examined the role of specific features of the interpersonal trust network — individual, dyadic, third‐party, and network‐level features — on individual performance. We adopt a multilevel perspective of interpersonal trust to examine how individuals' performance is not only predicted by their individual‐level centrality in the interpersonal trust network but also moderated, at the network level, by the overall centralized nature of that network. Further, we examine whether mutual trust relationships at the dyadic level, as well as shared trust ties to common third parties, can predict individuals' performance. We test our hypotheses with 206 members in 15 professional networking groups and find that interpersonal trust operates at multiple levels to predict members' performance in terms of generating income from business referrals. These findings provide theoretical and practical implications on how interpersonal trust relationships operate and can be managed for performance gains. Copyright © 2016 John Wiley & Sons, Ltd.     

Electroactive polyamide modified carbon paste electrode for the determination of ascorbic acid

Construction electroactive polyamide (EPA) with aniline-pentamer-based in the main chain has been modified on the surface of carbon paste electrode (CPE) for detecting ascorbic acid (AA). Fourier transform infrared spectroscopy and nuclear magnetic resonance spectroscopy studies confirm the well-defined molecular structure of the oligoaniline and EPA. Further, the in situ chemical oxidation of EPA was monitored by UV-Visible absorption spectrum. The electroactivity of the EPA was evaluated by performing electrochemical cyclic voltammetry study. The sensing response studies have revealed that this EPA-modified CPE electrode can detect AA in the range of 0.05–0.7 mM with detection limit of 0.005 mM and sensitivity of 1.5 × 10^–5 AmM^–1. Besides, this EPA-modified CPE electrode shows a minimal relative standard deviation of 1.73%.     

Two-phase modeling of sediment clouds

A sediment cloud release in stagnant ambient fluid occurs in many engineering applications. Examples include land reclamation and disposal of dredged materials. The detailed modeling of the distinct characteristics of both the solid and fluid phases of the sediment cloud is hitherto unavailable in the literature despite their importance in practice. In this paper, the two-phase mixing characteristics of the sediment cloud are investigated both experimentally and theoretically. Experiments were carried out to measure the transient depth penetration and the lateral spread of the sediment cloud and its entrained fluid using the laser induced fluorescence technique, with a range of particle sizes frequently encountered in the field (modeled at laboratory scale). A two-phase model of the sediment cloud that provides detailed predictions of the mixing characteristics of the individual phases is also proposed. The entrained fluid characteristics are solved by an integral model accounting for the buoyancy loss (due to particle separation) in each time step. The flow field induced by the sediment cloud is approximated by a Hill’s spherical vortex centered at the centroid and with the size of the entrained fluid. The particle equation of motion under the effect of the induced flow governs each computational particle. A random walk model using the hydrodynamic diffusion coefficient is used to account for the random fluctuation of particles in the dispersive regime. Overall, the model predictions of the two-phase mixing characteristics are in good agreement with the experimental data for a wide range of release conditions.