国外光伏发电并入智能电网发展探讨

智能电网是未来电网发展的主要趋势。随着人们对环境保护的重视,如何将风能、太阳能等可再生能源大规模接入电网已经成为智能电网下一阶段的研究方向。介绍了国外光伏发电技术发展,概述了国外对光伏发电并入智能电网的最新研究,提出了光伏并网发电面临的问题以及相关建议,为我国未来光伏并网发电的实施提供参考。     

水体中铊对泥鳅外周血红细胞的遗传毒性的时效性

铊(T1)是剧毒的重金属元素,会对生态环境和人体健康造成威胁.目前各国铊的环境安全标准存在差异.本文利用泥鳅红细胞微核技术,研究泥鳅Misgurnus anguillicaudatus红细胞微核率和核异常率与铊污染时间的关系,为该技术在铊毒理研究中的可行性和铊环境安全标准提供依据.结果表明:水体铊质量浓度为0.5μg·L~(-1)下,随处理时间的延长,泥鳅红细胞微核率、核异常率显著增加,并与时间呈显著的正相关,其中微核率、核异常率分别在处理24 h和48 h时达到最大值;随后两指标逐步下降,与时间呈显著的负相关.在此铊质量浓度和处理时间内,核异常率与微核率均显著高于空白无铊对照处理,表明水体铊质量浓度0.5 μg·L~(-1)对泥鳅血红细胞具有遗传毒性.     

城市臭氧污染特征与高影响气象因子：以苏州为例

近年来城市臭氧(O₃)污染问题日益突出,影响O₃污染的关键气象因子尚不明确,因此分析典型城市——苏州的O₃污染特征,探究O₃污染的高影响气象因子,对该区域大气污染防治具有重要意义.基于苏州环境监测中心2015～2020年4～9月逐小时O₃浓度数据及同期气象观测资料,应用相关分析和机器学习方法对其开展相关分析研究.结果表明：(1) 6年间O₃污染高发季,O₃污染超标率均达20%以上,O₃污染日数和以O₃为首要污染物的污染日数占比均逐年上升,O₃污染问题日益凸显;(2) O₃浓度存在单峰日变化特点,谷值出现在07:00前后,峰值出现在15:00～16:00;其与气温和太阳辐射能的日内变化趋势较一致,但其浓度峰值出现时刻又滞后于二者. 2017年和2019年O₃有典型的“周末效应”,周末较高的太阳辐照度对O₃浓...     

量子点对Cu2+诱导L02细胞毒性的影响及机理研究

量子点(QDs)和Cu~(2+)可能共存于肝脏,对肝细胞产生联合毒性,威胁人体健康。本研究以人胚肝细胞(L02)为研究对象,考察了低/无毒的QDs(3.6%的细胞致死率)对Cu~(2+)诱导L02细胞毒性的影响及相关机理,为其可能的健康和环境风险提供参考。结果显示,QDs的加入使得Cu~(2+)的细胞毒性有了很大的提高,细胞存活率最高下降了26.0%,两者表现为协同作用;另外QDs存在使得Cu~(2+)细胞蓄积量增大,伴随着Cu~(2+)天然解毒蛋白CTR1和ATP7A等表达水平的升高,从侧面印证了Cu~(2+)的蓄积量增加对细胞的影响;同时,QDs的存在使得细胞乳酸脱氢酶(lactate dehyfrogenase,LDH)泄露相对于Cu~(2+)单独处理组提高,暗示QDs可能破坏了细胞膜,导致Cu~(2+)在细胞内蓄积量增加,从而使细胞毒性增加,两者的联合毒性表现为协同作用。     

利用休止细胞法选择性脱除燃料油中有机硫

红球菌(Rhodococcus sp .)FS-1菌株能通过专一性断裂C—S键的途径脱除二苯并噻吩 (DBT)中的有机硫作为自身生长需要的硫源 ,从而降低油品中的硫含量 .本文利用该菌的休止细胞对DBT和柴油的脱硫活力进行了研究 .结果表明 ,该菌株对DBT及柴油中的有机硫均有良好的选择性脱除作用 .DBT浓度为0.5～1.0mmol/L、油水比例为 1:5时 ,脱硫效果最佳 .采用二次脱硫法可使柴油脱硫率达85%以上 ,证明FS-1能有效脱除柴油中的有机硫 .烃质组分的气相色谱分析表明 ,FS-1作用前后的柴油烃类组分基本没有改变 ,说明该菌的脱硫作用是特异性针对硫原子的 ,不会破坏柴油的有效成分 .     

三丁基锡对正常人胚胎羊膜细胞凋亡的诱导作用

为了探讨三丁基锡(TBT,tributyltin)对正常人羊膜细胞FL(humanamnioticcells)凋亡的诱导作用,进行了流式细胞仪PIAnnexinⅤ双染色检测TBT对FL细胞凋亡的诱导作用,并采用荧光染料FITC标记的特异性的caspase3的抑制剂检测活细胞中caspase3的酶活性.实验结果表明,0、1、2、3、4μmol·L-1浓度的三丁基锡作用于FL细胞2h后,细胞凋亡率和细胞中caspase3酶活性都明显升高,且有良好的剂量效应关系.表明三丁基锡在一定浓度和暴露时间下能够诱导FL细胞的凋亡,而且在此过程中,caspase3起重要作用.     

造纸污泥太阳能干化处理工艺设计

太阳能作为一种清洁能源,将其应用在造纸污泥干化中,与传统干化工艺相比具有能耗低、无污染、运行费用低廉、操作简单、运行安全稳定、干化后的污泥仍保留原有的价值等特点。以某造纸污泥的干化为例,介绍了该工艺的工作原理及流程、工艺单元设计等。     

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

The considerable complexity often included in biophysical models leads to the need of specifying a large number of parameters and inputs, which are available with various levels of uncertainty. Also, models may behave counter-intuitively, particularly when there are nonlinearities in multiple input-output relationships. Quantitative knowledge of the sensitivity of models to changes in their parameters is hence a prerequisite for operational use of models. This can be achieved using sensitivity analysis (SA) via methods which differ for specific characteristics, including computational resources required to perform the analysis. Running SA on biophysical models across several contexts requires flexible and computationally efficient SA approaches, which must be able to account also for possible interactions among parameters. A number of SA experiments were performed on a crop model for the simulation of rice growth (Water Accounting Rice Model, WARM) in Northern Italy. SAs were carried out using the Morris method, three regression-based methods (Latin hypercube sampling, random and Quasi-Random, LpTau), and two methods based on variance decomposition: Extended Fourier Amplitude Sensitivity Test (E-FAST) and Sobol’, with the latter adopted as benchmark. Aboveground biomass at physiological maturity was selected as reference output to facilitate the comparison of alternative SA methods. Rankings of crop parameters (from the most to the least relevant) were generated according to sensitivity experiments using different SA methods and alternate parameterizations for each method, and calculating the top-down coefficient of concordance (TDCC) as measure of agreement between rankings. With few exceptions, significant TDCC values were obtained both for different parameterizations within each method and for the comparison of each method to the Sobol’ one. The substantial stability observed in the rankings seem to indicate that, for a crop model of average complexity such as WARM, resource intensive SA methods could not be needed to identify most relevant parameters. In fact, the simplest among the SA methods used (i.e., Morris method) produced results comparable to those obtained by methods more computationally expensive.     

硫化镉量子点对人胚肝细胞L-02的毒性研究(Cadmium Sulfide Quantum Dots Induce Cytotoxicity in Human Embryo Liver Cells)

采用乳化液膜法自组合成硫化镉量子点(CdS quantum dots,CdS QDs),探讨CdS QDs的体外毒性作用及可能的作用机制.选用人胚肝细胞(L-02)作为细胞模型,采用不同浓度的CdS QDs(0.00、1.25、2.50、5.00、10.00、20.00、40.00μg·mL-1)对L-02细胞进行染毒.24h后,检测细胞内乳酸脱氢酶(LDH)释放量、谷胱甘肽(GSH)含量和超氧化物歧化酶(SOD)活力,并比较加入抗氧化剂N-乙酞半胱氨酸(NAC)后细胞存活率的变化,同时测定了细胞内外的镉离子浓度.结果表明,与空白对照组相比,CdS QDs单独染毒组细胞存活率显著降低(p<0.05或p<0.01);加入抗氧化剂NAC后,10.00、20.00、40.00μg·mL-1染毒组细胞存活率与单独染毒组相比显著上升(p<0.01).CdS QDs浓度为5.00μg·mL-1时,细胞内Cd2+的浓度略高于细胞外Cd2+的浓度,在其他浓度下,细胞外Cd2+的浓度均显著高于细胞内Cd2+的浓度.当作用浓度上升至10.00μg·mL-1时,人胚肝细胞内LDH含量显著增加,且随着作用剂量的升高,LDH含量逐渐增加.与空白对照组相比,40.00μg·mL-1CdS QDs染毒组SOD活力和20.00μg·mL-1CdS QDs染毒组GSH含量均显著降低(p<0.05).Cd2+易透过L-02细胞的细胞膜而进入细胞内,从而造成细胞损伤.氧化损伤可能是CdSQDs对L-02细胞毒性作用的机制之一.     

Impact of generated solar radiation on simulated crop growth and yield

The availability of observed daily solar radiation (OSR) is restricted to recent years. Its estimation through different methods is necessary to develop long-term data sets for agricultural and environmental applications. The objective of this study was to analyze the impact of using generated daily solar radiation (GSR) on simulated growth and yield of cotton, maize, and peanut. Nine locations representing Georgia's major crop belt were selected. Daily weather data from the Georgia Automated Environmental Monitoring Network (AEMN), including solar radiation, maximum and minimum temperature, and precipitation, were duplicated. The OSR was removed from one set and then generated using a stochastic procedure. The Cropping System Models (CSM)-CROPGRO-Cotton, CERES-Maize, and CROPGRO-Peanut of the Decision Support System for Agrotechnology Transfer (DSSAT) v4 were used to simulate crop growth and yield at each location with both OSR and GSR and for rainfed and irrigated conditions. The statistical analysis included summary statistics, Pearson's coefficient of correlation, mean squared deviation (MSD) and its components, namely: squared bias (SB), squared difference between standard deviations (SDSD), lack of correlation weighted by the standard deviations (LCS), and regressions. Within locations, for the three crops under rainfed and irrigated conditions, GSR did not significantly affect simulated total evapotranspiration and aboveground biomass and yields. For the three crops, deviations of simulated water use and yields from GSR with respect to simulated water use and yields from OSR were lower for the rainfed than for the irrigated conditions. Yields from the CSM-CROPGRO-Cotton and -Peanut models had lower deviations than yields from the CSM-CERES-Maize model. LCS was the major component of the MSD suggesting that the extent of the difference between standard deviations of GSR and OSRG could affect the outputs of the crop models. Nevertheless, for most locations none of the MSD components of the GSR showed significant correlation with simulated yields and the overall performance of the models was not affected. It can be concluded based on the results of this study that GSR can be used as an input for crop model simulation models when OSR is not available.