大型浅水湖泊水质模型边界负荷敏感性分析

为探究太湖水质对外源负荷削减的时空响应分异性,阐明不同入湖水量和污染来源条件下对应的外源削减侧重点,基于EFDC模型构建太湖水质模型,将太湖入湖边界划分为7组,以COD和氨氮为输出目标,采用局部敏感性分析方法进行太湖水质边界敏感性分析.结果 表明,各湖区的COD和氨氮改善响应特点为自削减边界向外围递减,边界敏感性指数均...     

工业企业厂界噪声测量问题探讨

围绕现行的GB12348—2008《工业企业厂界环境噪声排放标准》在厂界噪声测量中测量指标不明确、方法简单、测点位置未细化等问题,通过对增压站、集输站等进行厂界噪声测量,对存在问题进行分析探讨,提出解决这些问题的方法与改进建议。     

飞机用7B04铝合金缝隙腐蚀试验及仿真研究

目的开展飞机用7B04铝合金缝隙腐蚀仿真研究,理解缝隙腐蚀机理,找出影响缝隙腐蚀的关键因素。方法分析缝隙腐蚀类型,开展缝隙腐蚀试验,建立缝隙腐蚀数学模型,选择合适的边界条件,利用有限元法进行仿真计算。结果缝隙内pH值分布计算结果与试验测量值一致,缝隙口与外部液体/大气连接时,缝隙内溶液分别呈酸性或碱性。缝隙口溶液电势较低,缝隙口附近的铝合金腐蚀较快,含Al腐蚀产物多集中在缝隙口附近。缝隙宽度在0.1~0.3 mm范围内变化不影响铝合金腐蚀速率;缝隙深度增加,缝隙口与底部溶液电势差增大,铝合金腐蚀面积增大,但铝合金最大腐蚀电流密度不变。电位升高,缝隙内铝合金的腐蚀加剧,电位提高10 m V,腐蚀24 h后缝隙内铝合金界面的腐蚀电流密度增加59倍,Al(OH)_2Cl的最大浓度为自然电位下的30倍。结论缝隙腐蚀主要受缝隙外部阴极还原反应影响,电位对铝合金缝隙腐蚀的影响最大,飞机结构中应避免高电位材料同铝合金直接接触。     

Characterization of cake layer structure on the microfiltration membrane permeability by iron pre-coagulation

A cake layer is formed by coagulation aggregates under certain transmembrane pressure in the coagulation-microfiltration (MF) process. The characteristics of humic acid aggregates coagulated by different iron-based coagulants, such as charge, size, fractal dimension and compressibility, have an effect on the cake layer structure. At the optimum iron dose of 0.6 to 0.8 mmol/L for ferric chloride (FC) and polymer ferric sulfate (PFS) pre-coagulation, at the point of charge neutralization for near zero zeta potential, the aggregate particles produced possess the greatest size and highest fractal dimension, which contributes to the cake layer being most loose with high porosity and low compressibility. Thus the membrane filterability is better. At a low or high iron dose of FC and PFS, a high negative or positive zeta potential with high charge repulsion results in so many small aggregate particles and low fractal dimension that the cake layer is compact with low porosity and high compressibility. Therefore the membrane fouling is accelerated and MF permeability becomes worse. The variation of cake layer structure as measured by scanning electric microscopy corresponds with the fact that the smaller the coagulation flocs size and fractal dimension are, the lower the porosity and the tighter the cake layer conformation. This also explains the MF membrane flux variation visually and accurately.     

Mass Transport in Vegetated Shear Flows

Submerged aquatic vegetation has the potential to greatly improve water quality through the removal of nutrients, particulates and trace metals. The efficiency of this removal depends heavily upon the rate of vertical mixing, which dictates the timescale over which these constituents remain in the canopy. Continuous dye injection experiments were conducted in a flume with model vegetation to characterize vertical mass transport in vegetated shear flows. Through the absorbance–concentration relationship of the Beer–Lambert Law, digital imaging was used to provide high-resolution concentration profiles of the dye plumes. Vertical mass transport is dominated by the coherent vortices of the vegetated shear layers. This is highlighted by the strong periodicity of the transport and its simple characterization based on properties of the shear layer. For example, the vertical turbulent diffusivity is directly proportional to the shear and thickness of the layer. The turbulent diffusivity depends upon the size of the plume, such that the rate of plume growth is lower near the source. In the far-field, mass is mixed more than twice as rapidly as momentum. Finally, plume size is dictated predominantly by X, a dimensionless distance that scales upon the number of vortex rotations experienced by the plume.     

关于确定大气混合层高度的几种方法

本文阐述了大气混合层高度研究在环境保护中的作用，论述了大气混合层高度确定的几种方法，分析了各种方法的特点及应用前景，同时也讨论了目前在我国大气混合层高度研究中提出的一些新方法。     

Morphophysiological and Population Adaptations ofAjuga reptansL. at the Northern Boundary of Its Range

The results of comprehensive morphophysiological and population studies on Ajuga reptansL., a species of the nemoral floristic complex, at the northern boundary of its range (in the middle taiga subzone of the Komi Republic) are reviewed. Adaptations at the cell, organism, and biocenotic levels are revealed. The maintenance and survival of the species at the boundary of its range are provided for by its physiological plasticity, resistance to low temperatures, and multiple variants of ontogeny. Prognosis of Ajuga reptansfuture status under conditions of global climate change and expansion of anthropogenically disturbed areas is favorable.     

Field comparison of disjunct and conventional eddy covariance techniques for trace gas flux measurements

A field intercomparison experiment of the disjunct eddy covariance (DEC) and the conventional eddy covariance (EC) techniques was conducted over a grass field. The half-hourly water vapor fluxes measured by the DEC were within the estimated uncertainty from the fluxes measured by the EC. On the average there was a slight overestimation (<10%) of the fluxes measured by the DEC during the day and underestimation during the night as compared to the fluxes measured by the EC. As this bias does not appear in the simulated DEC measurements it is likely to be due to instrumental problems. The insensitivity of the quality of the fluxes measured by the DEC method to the deficiencies in the gas analysis shows the robustness of this new approach for measuring the surface-atmosphere exchange of trace gases.     

The Importance of Mixing Height in Characterising Pollution Levels from Aerosol Optical Thickness Derived by Satellite

In the present study the horizontal distribution of columnar aerosol optical thicknessderived at high spatial resolution from Earth observation satellite data in the Lombardy area (Italy) was converted to the horizontal distribution of optically effective aerosols concentration at the ground level. This was achieved by incorporating information on atmosphere's mixing height, at which pollutants released at ground level are vertically dispersed by convection or mechanical turbulence. The resulted fields compared favourably to pollutant concentration measurements provided by the ground stations. These results show that it is possible to calculate mean concentration fields by using the spatial distribution of aerosol optical thickness (AOT) measured by satellite normalized by the atmospheric mixing height. The advantage of satellites in measuring AOT is that they can capture all actual emissions compared to the models, which are based on inventoried data.     

Increase of Ozone Concentration in an Inland Basin During the Period of Nocturnal Thermal High

Since ground level ozone concentrations in the basin on one day before the occurrence of unusually high air temperature with nocturnal thermal high showed a typical urban type of a maximum ozone concentration at 1300 LST and a minimum at night. However, a maximum ozone concentration under extremely high air temperature of 39.2 °C was detected at 1700 LST or 1800 LST at two environmental monitoring sites, which was 4 or 5 hr delayed from the typical occurrence time, 1300 LST. Its maximum value showed about 50 or 70% increase of the concentration more than the typical maximum value and its concentration gradually decreased until 2100 LST. After 1200 LST until 1800 LST, air temperature was maintained over 35 °C and the high temperature made a great contribution to the increase of O₃ for several hours. The deviated occurrence time of a maximum ozone concentration is mainly attributed to meteorological and topographic effects – shifted occurrence time of maximum air temperature, shrunken atmospheric boundary layer depth and wind. While daytime O₃ concentration due to photochemical production of O₃ from NO₂ increased, NO₂ concentration decreased, with their reverse respondent patterns each night. A secondary maximum concentration of O₃ at 2300 LST or 2400 LST is due to a much shallower depth of nocturnal surface inversion layer with daytime producing more O₃ than that of the daytime convective boundary layer, resulting in the increase of ozone concentration, though the reduction of ozone occurred under the reversal process of O₃ into NO₂.