Ecotoxicological effects of polycyclic musks and cadmium on seed germination and seedling growth of wheat (Triticum aestivum)

Single and joint toxic e ects of polycyclic musks including 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexamethylcyclopenta[g]-2- benzopyran (HHCB) and 7-acetyl-1,1,3,4,4,6-hexamethyl-1,2,3,4-tetrahydronapthalene (AHTN) and cadmium (Cd) on seed germination and seedling growth of wheat (Triticum aestivum) were investigated. The results showed that the toxicity sequence of HHCB toxic to wheat seed germination and seedling growth was similar to that of AHTN, that is, germination rate > shoot elongation > root elongation, while the toxicity of Cd was in the sequence of root elongation > shoot elongation > germination rate, according to the LC50 and EC50 values. It is suggested that polycyclic musks and Cd had di erent toxicological mechanisms. Root and shoot elongation of wheat might be good bioindicators for the contamination of polycyclic musks and Cd in soil. The mixture of polycyclic musks and Cd had synergistic e ects on T. aestivum according to the equi-toxic mixture approach when root elongation was selected as the toxicological endpoint. Thus, the joint toxicity of HHCB and Cd was significantly higher than the single toxicity of HHCB or Cd, which was also confirmed by the EC50 mix value of the mixture (EC50 mix = 0.530 TUmix). The EC50 mix value of the mixture of AHTN and Cd was 0.614 TUmix, which indicated that the mixture toxicity was strengthened when AHTN coexisted with Cd.     

A comparative investigation of NdSrCu_(1-x) Co_x O_(4-δ) and Sm_(1.8) Ce_(0.2) Cu_(1-x) Co_x O_(4-δ) (x:0–0.4) for NO decomposition

A series of single-phase T-structured NdSrCu 1-x Co x O 4-δ with oxygen vacancies and T -structured Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ (x: 0–0.4) with oxygen excess were prepared using ultrasound-assisted citric acid complexing method, and characterized by means of techniques such as thermogravimetric analysis and NO temperature-programmed desorption (NO-TPD). The catalytic activities of these materials were evaluated for the decomposition of NO. It was found that the NdSrCu 1-x Co x O 4-δ catalysts were of oxygen vacancies whereas the Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ ones possessed excessive oxygen (i.e., over-stoichiometric oxygen); with a rise in Co doping level, the oxygen vacancy density of NdSrCu 1-x Co x O 4-δ decreased while the over-stoichiometric oxygen amount of Sm 1.8 Ce 0.2 Cu 1-x Co x O 4-δ increased. The NO-TPD results revealed that NO could be activated much easier over the oxygen-deficient perovskite-like oxides than over the oxygen-excessive perovskite-like oxides, with the NdSrCuO 3.702 catalyst showing the best efficiency in activating NO molecules. Under the conditions of 1.0% NO/helium, 2800 hr -1 , and 600–900°C, the catalytic activity of NO decomposition followed the order of NdSrCuO 3.702 NdSrCu 0.8 Co 0.2 O 3.736 NdSrCu 0.6 Co 0.4 O 3.789 Sm 1.8 Ce 0.2 Cu 0.6 Co 0.4 O 4.187 Sm 1.8 Ce 0.2 Cu 0.8 Co 0.2 O 4.104 Sm 1.8 Ce 0.2 CuO 4.045 , in concord with the sequence of decreasing oxygen vacancy or oxygen excess density. Based on the results, we concluded that the higher oxygen vacancy density and the stronger Cu 3+ /Cu 2+ redox ability of NdSrCu 1-x Co x O 4-δ account for the easier activation of NO and consequently improve the catalytic activity of NO decomposition over the catalysts.     

温度对好氧颗粒污泥吸附铅离子的影响

由活性污泥培养得到好氧颗粒污泥,研究了温度对好氧颗粒污泥吸附Pb²⁺的影响.结果表明,好氧颗粒污泥主要含有C、H、N、O、P等元素,其经验结构式为C_5.7H_10.9O3.9NS_0.04.好氧颗粒污泥表面主要由球状细菌组成,具有明显的孔隙结构.在20～40℃时,Pb²⁺在好氧颗粒污泥上的吸附过程可以由Langmuir和Freundlich等温方程进行拟合（R²>0.914）.Pb2+最大吸附量Qmax由80.65 mg·g-1（20℃）增至97.09　mg·g-1（40℃）.吸附过程的表观自由能变ΔG<0、 ΔH>0、 ΔS>0,表明Pb2+在好氧颗粒污泥表面的吸附为吸热、熵增的自发过程.红外扫描分析(FTIR)结果表明,吸附过程Pb2+主要与—OH、蛋白质中的—COOH以及PO发生作用,与含氮官能团无关.     

中国南方森林黄壤的铝活化模式

将酸化模型应用于我国区域酸沉降影响的预测和控制对策的制定,需要选择有区域代表性的土壤铝活化模式并确定其参数.利用我国南方4个森林小流域的土壤化学长期观测资料,对常见的铝活化模式,如三水铝石模式、斜矾石模式、高岭石模式、伊毛缟石模式和有机质吸附模式等在中国南方森林黄壤的区域适用性进行了分析.结果表明,广泛应用于各种酸化模型的三水铝石模式实际上并不适用,而修正后的三水铝石经验模式在土壤水pH值≥4时能够适用,经验常数可取pK=-2.40、 a=1.65（上层土壤）和pK=-2.82、a=1.66（下层土壤）.其他模式与经验三水铝石模式相比,模拟性能并无明显的改善.观测结果还表明,当pH<4时,pAl不随pH明显变化,这些模式均不能解释其机制.     

UV-B辐射增强对壶状臂尾轮虫种群增殖的影响

运用群体累计培养的方法研究了UV-B辐射增强对壶状臂尾轮虫(Brachionus urceus)种群增殖的影响.结果表明:UV-B辐射增强对壶状臂尾轮虫的种群数量、雌体抱卵率和种群增殖率都有显著影响(P<0.05).实验表明,在本实验辐射强度(20μW/cm2)和剂量范围内(0.24、0.48、0.72、0.96和1.20kJ/m2),壶状臂尾轮虫的种群数量和种群增殖率均以对照组最高,各UV-B辐射处理组则随UV-B辐射剂量的增大而呈一致性减小,说明该种群的种群数量和种群增殖率随UV-B辐射的增强显示一致性的影响,两者都可以作为大气UV-B辐射强弱的生物指标.     

黄海鳀鱼中痕量金属浓度与体长的关系

测定了在黄海采集的各种体长的鳀鱼(Engraulis japonicus)中6种痕量金属(Zn、Cu、Fe、Al、Mn和Sr)和3种主要元素(C、N和P)的浓度.除Zn浓度在4～5倍内变动外,其余5种痕量金属浓度的变动范围均接近或超过一个数量级;并且,这6种金属均显示出了浓度随体长增长而下降的趋势.对于3种主要元素,N和P的含量也与体长存在负相关关系,而C却显示出了强烈的正相关关系.聚类分析表明,Zn和Cu在鳀鱼内的浓度变化较为接近,可能验证了这两种金属与生物体内新陈代谢活动较为密切的性质;而其余4种金属的浓度变化规律更为接近,可能反映了陆源输入的影响.     

2008年夏季飞云江口浮游植物分布特征及与环境因子的相关性

根据2008年夏季飞云江口海域生态与环境调查数据,分析了飞云江口浮游植物分布特征以及与环境因子的关系.结果表明:2008年夏季共鉴定浮游植物69种,其中硅藻类28属62种,甲藻类3属7种.主要的优势种为中肋骨条藻(Skele-tonema costatum)、尖刺拟菱形藻(Pseudonitzschia pungens)、柔弱伪菱形藻(Pseudonitzschia delicatissima)、环纹娄氏藻(Lauderia annulata)、菱形海线藻(Thalassionema nitzschioides)等.通过CCA梯度分析,影响浮游植物群落结构的主要环境因子为盐度、营养盐、悬浮物、DO、pH,浮游植物不同种群受到的不同的环境因子的影响,甲藻受盐度的影响较大.而硅藻中的角毛藻受到铵盐和亚硝酸盐的影响较大,而中肋骨条藻、尖刺拟菱形藻、菱形海线藻等主要优势硅藻受到环境因子的限制较少.     

固定化微生物技术处理城市微污染河水研究

将陶粒、功能化聚氨酯泡沫(FPUFS)、阿科蔓柔性填料、人工水草等4种不同载体与高效复合菌剂BP35应用于曝气生物滤池(BAF)构成固定化曝气生物滤池(G-BAF),研究固定化微生物技术对城市微污染河水的净化效果.4种G-BAF对NH4+-N、叶绿素和浊度的去除率分别为83.0%~89.0%、77.5%~89.0%和84.4%~95.2%,均大于对COD、UV254和TP的去除效果.FPUFS含有羟基、环氧基和酰胺基等反应性基团,对酶和微生物的负载量大,因此FPUFS-G-BAF对污染物的去除效率高于其余3种G-BAF.水力停留时间(HRT)对4种G-BAF去除NH4+-N的影响均不显著,而对COD的去除效果影响较大.当溶解氧(DO)浓度由2 mg/L升至4 mg/L时,4种G-BAF对COD和NH4+-N的去除率分别提高了11.9%~18.0%和12.7%~16.1%.GC-MS分析结果表明,G-BAF工艺能有效地将河水中分子质量较大的难降解有机物降解为小分子物质.     

2021年5-6月国内生产安全事故统计分析

统计了 2021年5-6月国内发生的各种生产安全事故55起,其中包括交通事故、矿业事故、化工事故、建筑事故、市政事故和其他事故.统计表明,在55起事故中,交通事故占30.91％,矿业事故占9.09％,化工事故占14.55％,建筑事故占5.45％,市政事故占23.64％,其他事故占16.36％.55起事故共死亡209人.死亡人数的百分比分别为交通事故28.23％,矿业事故占9.57％,化工事故占16.27％,建筑事故占7.18％,市政事故占27.27％,其他事故占11.48％.2021年5-6月生产安全事故发生较多的5个省分别为浙江(6起)、四川(5起)、云南(4起)、黑龙江(4起)和湖北(3起);死亡人数较多的5个省分别为湖北(29人)、河南(22人)、四川(19人)、黑龙江(18人)和山西(13人).     

Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.