基于最优尺度地理探测的长三角有机污染物时空分布驱动因素分析

场地污染对人体健康和生态环境造成了严重危害,理解其时空分布规律是污染评估和场地修复的基础.为此基于场地采样数据,利用最优尺度地理探测器分析长三角地区有机污染物时空分布规律及其驱动因素.结果表明:①长三角场地有机污染物空间分布存在显著的尺度效应,其最佳地理探测尺度格网为8000 m;②长三角污染物空间分布的主控因子最主要来源于生物场,其次来源于化学场;③在土壤0~20 cm深度,蔗糖酶含量、脲酶含量、微生物量氮、全氮含量和离子交换量等对有机污染物空间分布的解释力较大.在土壤20~40 cm深度,对有机污染物空间分布解释力较强的因子是土壤湿度、人口和全氮含量等.随着土壤深度的加深,水动力场的因子解释力增强.④春季里人口、全氮含量和多酚氧化酶含量等对有机污染物空间分布解释力较强.秋季里有机污染物的空间分布更复杂,因子之间表现出更强烈的非线性增强现象和双因子增强现象.     

中国交通运输碳排放强度时空交互特征及跃迁机制

采取多种空间分析的方法,对2002～2020年交通运输业碳排放强度的时空交互特征进行剖析,通过得到的时空跃迁类型与面板分位数模型进行嵌套来探究其跃迁机制,最后根据不同的跃迁机制引入地理探测器模型来考察影响交通运输业碳排放强度的不同因素之间的交互作用效应.结果表明: ①中国30个省区的交通运输业碳排放强度整体呈波动下降态势,在空间上的聚集水平也相对稳定.②ESTDA的时空交互特征表明,西北地区和周边邻接空间单位的关系不稳定,变化和波动较大.而东部沿海城市等经济发达地区已经形成了成熟的交通运输网络,因此局部空间格局也相对稳定,但仍有部分地区存在时空竞争性.③交通运输业碳排放强度时空跃迁可分为4类驱动或制约模式（人口-经济-城镇化制约模式;人口-经济-城镇化-设施制约模式;技术-消费-产业驱动模式和技术-产业-规制驱动模式）.大部分省份受低分位制约和高分位驱动两种模式的影响,仅有少部分省份受高分位制约和低分位驱动的作用影响,且绝大多数属于西北或西南地区.④根据得出的交通运输业碳排放强度跃迁机制进一步引入地理探测器模型,注重多因子的协调发展,加强区域间协同治理.     

羟基自由基和水合电子降解对叔丁基酚的研究

采用电子束辐照水溶液的方法产生水合电子（e_aq^-）,研究了e_aq^-与对叔丁基酚（4-t-BP）的反应,结果表明还原性的e_aq^-不能降解4-t-BP.同时,采用254nm紫外光辐照H₂O₂来产生羟基自由基（·OH）,研究了UV//H₂O₂体系对4-t-BP的降解效果,考察了4-t-BP初始浓度,H₂O₂的添加浓度,溶液初始pH值等因素对反应的影响,结果表明4-t-BP初始浓度越低,H₂O₂的浓度越高,则越有利于反应的进行;溶液pH=6时是反应的最佳pH值.采用HPLC结合GC-MS的分析方法对反应的中间产物进行了定性分析,得出对叔丁基邻苯二酚,对叔丁基酚二聚体和对苯二酚等3种主要中间产物,归纳总结了4-t-BP与·OH的反应路径.     

数字化控制系统信息显示特征对操纵员信息 捕获绩效的影响及优化研究

随着计算机技术和仪控技术的发展,数字化仪控系统逐步在大型控制室得到应用,主控室信息界面随之也出现了 “巨量信息与有限显示”的矛盾。通过分析数字化主控室信息显示的特点,基于认知心理学的相关理论,通过实验研究 信息显示率、信息提供率、数据更新率对操纵员信息捕获绩效的影响。实验结果表明:对操纵员信息捕获绩效影响最主 要的因素是信息显示率,其次是信息提供率,最后是数据更新率;信息显示率与信息提供率对被试信息捕获绩效的影响 具有较高的灵敏度,而数据更新率的变化对被试信息捕获绩效的影响并不显著;信息显示的最佳匹配组合是信息显示率 为56.4 bit,信息提供率为9.4 bit,数据更新率为3 s。研究成果可为数字化主控室信息显示的设计提供理论基础。     

Optimal timing of carbon capture policies under learning-by-doing

Using a standard Hotelling model of resource exploitation, we determine the optimal energy consumption paths from three options: dirty coal, which is non-renewable and carbon-emitting; clean coal, which is also non-renewable but carbon-free thanks to carbon capture and storage (CCS); and solar energy, which is renewable and carbon-free. We assume that the atmospheric carbon stock cannot exceed an exogenously given ceiling. Taking into account learning-by-doing in CCS technology, we show the following results: (i) clean coal exploitation cannot begin before the outset of the carbon constrained phase and must stop strictly before the end of this phase; (ii) the energy price path can evolve non-monotonically over time; and (iii) when the solar cost is low enough, an unusual energy consumption sequence along with solar energy is interrupted for some time and replacement by clean coal may exist.     

纳米硫化镉对A549细胞的损伤研究

研究纳米硫化镉(Nano-Cd S)材料对肺癌细胞系A549的毒性及氧化损伤作用。培养A549细胞,经传代后接种于6孔板中,每孔2 m L完全培养基,接种次日进行染毒。用直径20~30 nm、长度80~100 nm的Nano-Cd S进行染毒,染毒浓度分别为0、5、10、20、40和80 mg·L~(-1)。染毒24 h后用MTT检测细胞存活率,以存活率在80%左右的浓度为后续实验染毒浓度。应用流式细胞技术,用荧光探针法检测A549细胞的活性氧(reactive oxygen species,ROS)含量,PI-Annexin-V法检测细胞凋亡情况;用试剂盒检测细胞中超氧化物岐化酶(superoxide dismutase,SOD)和过氧化氢酶(catalase,CAT)活性以及丙二醛(malondialdehyde,MDA)含量,判断细胞氧化损伤情况。不同浓度Nano-Cd S处理细胞24 h之后,细胞存活率随剂量的增加而下降,浓度为10、20、40和80μg·L~(-1)时,存活率分别为(88.71%±0.80%)、(81.93%±3.06%)、(75.23%±1.13%)和(70.66%±5.63%),且各组间差异均具有统计学意义(P0.05)。以浓度为10和20 mg·L~(-1)的Nano-Cd S染毒24 h后,胞内ROS含量和细胞凋亡率随染毒剂量的增加而增加(P0.05);浓度为10 mg·L~(-1)时,细胞凋亡率为(6.26%±0.44%)。与对照相比,各染毒组SOD和CAT活性和MDA含量升高,20 mg·L~(-1)染毒组SOD和CAT活性和MDA含量高于10 mg·L~(-1)染毒组(P0.05)。研究表明,纳米硫化镉能引起A549细胞的氧化损伤和细胞凋亡,具有明显的细胞毒性。     

不同电子受体除磷污泥相似性与菌群结构研究

分别以硝酸盐、亚硝酸盐、氧气为电子受体,采用3组SBR反应器培养除磷污泥,连续126d的稳定运行表明:以硝酸盐、亚硝酸盐、氧气为电子受体除磷污泥对TP平均去除率分别为84.8%, 78.7%, 87.4%,出水TP平均浓度分别为0.758, 0.931, 0.632mg/L.采用高通量测序技术对不同电子受体除磷污泥的相似性与菌群结构进行了研究,结果表明,以硝酸盐,亚硝酸盐为电子受体的反硝化除磷污泥具有近似的菌群结构,与好氧除磷污泥菌群结构差异较大.基于各样品主导OTUs序列的系统发育关系及其比例的分布,主导微生物主要可以分为5个簇.通过序列比对,在97%的序列相似度条件下,种泥中聚磷菌与聚糖菌序列比例为0.716%与0.368%,以硝酸盐、亚硝酸盐、氧气为电子受体除磷污泥中聚磷菌与聚糖菌序列比例分别为1.78%, 2.53%, 4.80%与1.44%, 1.32%, 30.9%,厌氧-缺氧条件有利于抑制聚糖菌.亚硝酸盐为反硝化除磷污泥电子受体时潜在公共卫生安全隐患.     

Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology

Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO₂) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits.     

Fuzzy optimization of multi-period carbon capture and storage systems with parametric uncertainties

Carbon capture and storage (CCS) is an important technology option for reducing industrial greenhouse gas emissions. In practice, CO₂ sources are easy to characterize, while the estimation of relevant properties of storage sites, such as capacity and injection rate limit (i.e., injectivity), is subject to considerable uncertainty. Such uncertainties need to be accounted for in planning CCS deployment on a large scale for effective use of available storage sites. In particular, the uncertainty introduces technical risks that may result from overestimating the limits of given storage sites. In this work, a fuzzy mixed integer linear program (FMILP) is developed for multi-period CCS systems, accounting for the technical risk arising from uncertainties in estimates of sink parameters, while still attaining satisfactory CO₂ emissions reduction. In the model, sources are assumed to have precisely known CO₂ flow rates and operating lives, while geological sinks are characterized with imprecise fuzzy capacity and injectivity data. Three case studies are then presented to illustrate the model. Results of these examples illustrate the tradeoff inherent in planning CCS systems under parametric uncertainty.     

Electron microscopy documenting the cellular metabolic fate of Zn IONS∗

In vertebrates and invertebrates Zn exist as complexed compounds with metallothioneins. However, its cellular level effects and metabolic fates are scantly documented. In the elucidation of this fact, EM results on hepatic cellular alterations in fish under lethal dose exposure at 4.0 ppm over a week is illustrated.

A large number of lysosomes in hepatic cells prevailed on exposure to Zn in its sulfate form. Evidently, due to metal compound stress and cellular damage lysosomal activity is augmented. The lysosomes harboured digestible material, presumably the aforementioned substrates. Contrary to it, fat droplets prevailed while glycogen depletion is noticeable. Unlike the effects of Hg, the nuclei were normal with granular chromatin and prominent nucleoli. However, the mitochondria contained some small intramitochondrial bodies. Similar to the effects of Hg, the cell membrane remained intact.

In vivo enzymatic studies indicated augmentation in catalase, acid‐ and alkaline‐phosphatases, while glucose‐6‐phosphatase is inhibited. However, only alkaline‐ and glucose‐6‐phosphatases are inhibited under in vitro conditions.

Thus, it is evident that Zn enhances cellular bioenergetic requirements culminating in glycogen depletion owing to stress, concomitantly envisaging inhibition of oxidative phosphorylation in the electron transport system.