Metals in coniferous vegetation of PreBaikal National Park （Olkhon District of Lake Baikal）

A comprehensive assessment of man-made impact on the environment is much kept behind because of missing unified systems of environmental monitoring. They represent sources of reliable information on the current status of the environment, as well as the absence of approaches to assess the impact of chemical pollution by different anthropogenic sources. Vegetation, being the component of environmental systems, is very sensitive to atmospheric man-made load. However, permissible concentrations of elements in plants, causing deflection in their development are differently estimated in different regions and vegetation species. As to the Baikal region, it is commonly the sanitary state of woods, that is primarily assessed. Coniferous trees, in particular pine, represent the main tree species in the region. In the Olkhon region we investigated the trace element compositions in pine needles to obtain the background contents of toxic metals. This region of the National park lies 300 km away from the industrial sources of pollutants, beyond the zone of wind effect, and has no industry. The research was made on the healthy （green） and dried up （red） pine needles. The elements like Zn, Al, Mn, Fe, Cr, Cu, Co, Ni, Sr, Cd, Pb, Li, Rb, Sb and As were measured by atomic absorption and flame emission photometry. The samples were decomposed in autoclaves with the mixture of nitric acid and hydrogen peroxide. Distinct differences were found in a series of elements contained in the green and dried needles. The red needles are characterized by higher contents of Zn, Al, Cu and low Mn, Fe, Pb with similar contents of other elements.     

Momentum Absorption in Rough-Wall Boundary Layers with Sparse Roughness Elements in Random and Clustered Distributions

A wind-tunnel experiment has been used to investigate momentum absorption by rough surfaces with sparse random and clustered distributions of roughness elements. An unusual (though longstanding) method was used to measure the boundary-layer depth δ and friction velocity u _* and thence to infer the functional relationship z ₀/h = f(λ) between the normalised roughness length z ₀/ h and the roughness density λ (where z ₀ is the roughness length and h the mean height of the roughness elements). The method for finding u _* is based on fitting the velocity defect in the outer layer to a functional form for the dimensionless velocity-defect profile in a canonical zero-pressure-gradient boundary layer. For the conditions investigated here, involving boundary layers over sparse roughness with strong local heterogeneity, this velocity-defect-law method is found to be more robust than several alternative methods for finding u _* (uw covariance, momentum integral and slope of the logarithmic velocity profile).The experimental results show that, (1) there is general agreement in the relationship z ₀/h = f(λ) between the present experiment with random arrays and other wind-tunnel experiments with regular arrays; (2) the main effect of clustering is to increase the scatter in the z ₀/h = f(λ) relationship, through increased local horizontal heterogeneity; (3) this scatter obscures any trend in the z ₀/h = f(λ) relationship in response to clustering; and (4) the agreement between the body of wind-tunnel data (taken as a whole) and field data is good, though with scatter for which it is likely that a major contribution stems from local horizontal heterogeneity in the field.     

连续梁桥中设置粘弹性阻尼器的减震效果分析

研究了设有粘弹性阻尼器的连续梁桥的地震反应,探讨了阻尼器在连续梁桥中的减震效果及阻尼器参数对减震效果的影响。结果表明:阻尼器对桥梁结构具有减震效果,要达到良好的减震效果必须对阻尼器的参数加以优化。     

臭氧吸收参数数据库精度检验和验证

利用国际权威期刊上发表的臭氧吸收截面观测数据,检验和验证了现有的紫外正演模式TOMRAD臭氧吸收参数数据库。结果表明,在Hartley臭氧吸收带上,观测数据与数据库参数吻合状况很好;而在Huggins臭氧吸收带上,观测数据与数据库参数在部分波长上存在较大偏差,某些波长上的偏差超过50%。鉴于此,FY-3紫外臭氧探测仪资料处理计算中,选取臭氧吸收参数,必须特别慎重。     

A Moisture Index Classification System for Rocks (MiC System)

Summary.  Interaction of rocks with water is leading to a reduction in physical and mechanical properties, and quantifying this effect has always been a problem for design purposes in rock engineering projects. Despite the fact that a number of considerable works have been carried out in this field, they are not thorough and general. In this paper, a new rock classification system is presented in order to evaluate wet rock properties. Laboratory studies showed that six parameters may be recognized as major controlling parameters for wet rocks, including: water absorption, porosity, weathering degree, swelling index, number of microfissures, and average grain size. Many tests were performed and a sensitivity analysis was carried out on the data obtained. This analysis characterized the rock sensitivity when changing each parameter and consequently, a rating value was assigned to each parameter. By adding these rating values, a rating between zero and 100 is allocated to each rock as Moisture index (Mi). The closer this index is to 100, the more sensitive rock will be to moisture. On the basis of this index, rocks are divided into five classes including: very good, good, fair, weak and very weak.     

聚乙二醇快速澄清原子吸收分光光度法连续测定矿石中铜铅锌

利用聚乙二醇的水溶性和高聚合性，建立了原子吸收分光光度计连续快速测定矿石中的Cu、Pb、Zn的方法。矿石样品用HCl-HNO3-HClO4完全溶解，在均匀的试液中，选择聚乙二醇用量3mL，澄清时间仅2．5h，试液快速澄清。方法精密度（RSD，n=5）小于5％，加标回收率为86．3％-106．0％。方法用于测定岩石国家标准物质中的Cu、Pb和Zn，结果与标准值相符。     

泡沫塑料富集-石墨炉原子吸收光谱法测定地质样品中微量铊

采用HF-HClO4-HNO3-HCl溶解样品，泡沫塑料富集-石墨炉原子吸收光谱法测定岩石、土壤、水系沉积物等地质样品中微量铊。以抗坏血酸为基体改进剂，Fe^3＋加入量选择100mg，灰化温度为600℃，原子化温度为1600℃。方法用于测定国家一级标准物质，结果与标准值基本一致。方法精密度（RSD，n=8）为2．88％～6．27％，回收率为95．24％～101．3％，检出限可达0．058μg/g。     

用火焰原子吸收光谱法连续测定银、铜、锌

试样经NH4F,HCl,HNO3分解的酸性介质中,选用NaCl做配合剂,Ag,Cu,Zn可以同时进入溶液。但由于上机测定时背景吸收严重,而所使用的原子吸收分光光度计不能扣除背景。选用硫脲做配合剂时,可使Ag生成稳定无色的Ag[CS(NH2)2]Cl配合物,从而避免溶液中生成AgCl沉淀,同时也使测定时的酸度得到有效的降低。原来需要分别取样、溶解和测定Ag,Cu,Zn的操作,得以在同一份样品中完成。用火焰原子吸收分光光度计连续测定Ag,Cu,Zn,方法的测定范围分别为Ag0 n×10-6～5000 0×10-6;Cu0 00n%～n 000%;Zn0 00n%～n 000%。     

悬浮液进样石墨炉原子吸收光谱法测定地质样品中痕量镓和铊

对固体悬浮液直接进样及石墨炉原子吸收光谱法测定Ｇａ和Ｔｌ进行了研究，拟定了以琼脂为悬浮剂，Ｎｉ（对Ｇａ）和Ｖ（对Ｔｌ）为基体改进剂，标准溶液进行校准的、灵敏、快速、准确测定Ｇａ和Ｔｌ的方法。在选定条件下，测得Ｇａ和Ｔｌ的特征量（１％吸收）分别为２．８×１０￣（－１１）ｇ和４．４×１０￣（－１１）ｇ，检出限（３σ）分别为２４ｐｇ和２８ｐｇ，相对标准偏差分别为６．３％（含Ｇａ６．４ｇ／ｇ，ｎ＝１１）和４．８％（含Ｔｌ１．０ｇ／ｇ，ｎ＝１３）。方法适用于地质样品中低至０．１ｇ／ｇＧａ和Ｔｌ的测定。